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Background: Bioimaging applications by laser ablation inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOFMS) require comprehensive elemental analysis spanning the entire mass range. Within biological systems, endogenous elements are critical for maintaining metal homeostasis in cells, a fundamental aspect in disease progression when disrupted. Additionally, elements from the higher mass range may originate from various sources such as metal-tags for immuno-mass spectrometry, nanoparticles, or metal-based anticancer drugs. This study assesses the efficacy of collision/reacton cell (CCT) mode for simultaneously analysing elements across the complete mass spectrum. Furthermore, we demonstrate the accuracy of the LA-ICP-TOFMS methodology through the analysis of serum reference material., Results: Our findings demonstrate that the CCT mode outperforms the standard/no gas mode for LA-ICP-TOFMS measurements, particularly in quantifying endogenous elements susceptible to interferences. Through the analysis of picolitre-volume micro-droplet standards and serum reference material (deposited as micro-droplets), we observed accurate quantification of elements such as iron and selenium, with isotope ratios closely resembling natural compositions. As key advantage, the utilization of the CCT mode eliminated the need for labor-intensive post-data processing, streamlining analytical procedures. Additionally, the CCT mode also provided enhanced sensitivity (factor of 1.5-2) for elements in the higher mass range compared to the standard mode, without compromising the sensitivity for endogenous elements., Significance: We successfully integrated Seronorm serum reference material-containing micro-droplets into LA-ICPMS bioimaging workflows for quality control, enabling validated measurements of key biological elements. The use of the CCT mode is highly recommended for bioimaging applications that address the analysis of elements across the entire mass range., Competing Interests: Declaration of competing interest There are no conflicts of interest to declare., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Drug abuse is a social issue worldwide, and there is an increasing demand for on-site rapid detection of illicit drugs. In this study, a rapid and simple analytical method for the detection of 6-monoacetylmorphine (6-MAM), methamphetamine (MA), methylenedioxymethamphetamine (MDMA), ketamine (K), norketamine (NK), and cocaine (COC) in urine was developed. The developed method combines C18 pipette-tip based solid-phase extraction (C18 PT-SPE) with a miniaturized mass spectrometer (miniMS), exhibiting remarkable simplicity, high sensitivity, and strong reliability, compared with the conventional method. The optimal extraction and elution conditions for C18 PT-SPE were considered as 9 and 3 aspirating-dispensing cycles, respectively. The miniMS parameters including spray voltage, isolation potential, and collision-induced dissociation energy for the detection of these six illicit drugs were optimized using a nano-electrospray ionization method. The limit of detection (LOD), limit of quantification (LOQ), linear range, and linearity for the analysis of six illicit drugs in urine with the proposed C18 PT-SPE-miniMS method were determined. Except for the LOD of K and COC was determined as 0.5 and 0.25 ng mL -1 respectively, and the LOD of 6-MAM MA, MDMA, and NK was determined as 1 ng mL -1 . This method enables rapid on-site detection, providing easier operation, lower cost, and better portability compared to conventional methods, making it a potential tool in drug crime investigation and forensic science., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

The chemical characterisation of traditional Chinese medicine formulas (TCMFs) using mass spectrometry poses notable challenges owing to their complex and diverse chemical compositions. While acquisition modes such as data-dependent acquisition (DDA) and data-independent acquisition (DIA) offer new insights, DDA's tendency to overlook low-abundance ions and DIA's complicated data processing, particularly in matching MS 1 and MS 2 information, limit the effective annotation of valuable compounds in TCMFs. Herein, we present a new integrated strategy to enhance the coverage of annotated compounds in TCMFs, using Xiao Jian Zhong Tang (XJZ) as a case study. First, we characterised the components of XJZ through UNIFI software in Fast-DDA and DIA modes. We then summarised the diagnostic ions and substituent information of the identified compounds based on the Fast-DDA data, integrating molecular networks and AntDAS to predict unknown components and uncover potential components. Ultimately, we characterised a total of 785 components in XJZ, including 43 that were unique to XJZ when compared to the individual herbs involved. The presence of these new components may result from the recombination of substituents during compatibility. In conclusion, this new integrated strategy facilitates more in-depth characterisation of components in TCMFs, providing a new direction for exploring the compatibility principles among TCMFs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The incidence of colorectal cancer (CRC) is increasingly affecting younger populations, with its mortality rate rising annually. However, current clinical diagnostic techniques, such as colonoscopy and CEA antigen testing, remain invasive and prone to false-positive results, complicating early diagnosis and intervention. Glycosylation, a key post-translational modification, plays an essential role in cellular function, physiological regulation, and disease processes. In recent years, mass spectrometry technology has emerged as a powerful tool for screening glycan biomarkers, owing to its exceptional separation capabilities and sensitivity. This review encompasses the advancements in CRC glycan biomarkers from 2016 to 2024, with particular emphasis placed on N/O-glycan biomarkers identified through mass spectrometry. Nonetheless, the intrinsic low abundance and polyhydroxy nature of glycans hinder the specificity and sensitivity of current glycan biomarkers. To overcome these limitations, this article outlines pretreatment strategies for N/O-glycans, including glycan release, enrichment, purification, and derivatization, in conjunction with relative quantification techniques and high-throughput bioinformatics tools for biomarker screening. These strategies are anticipated to enhance the efficiency and precision of glycan biomarker identification through mass spectrometry. These advancements hold significant promise for enhancing CRC prevention, diagnosis, and treatment, thereby potentially improving patient outcomes and quality of life., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Accurate monitoring of pesticide residues at minimal concentrations is imperative for adherence to stringent regulatory standards in numerous countries. This study presents an innovative methodology employing comprehensive two-dimensional liquid chromatography coupled with high-resolution mass spectrometry (LC × LC-HRMS). The approach ensures high sensitivity and selectivity in detecting targeted compounds. A pivotal component of this methodology is the utilization of per-aqueous liquid chromatography (PALC) as the first dimension, facilitating the use of water-based mobile phases and addressing solvent mismatch issues. The second dimension employs reversed-phase liquid chromatography (RPLC), enhancing the separation of compounds. PALC proves instrumental in refocusing and enables the practical application of narrow-diameter columns (1.5 mm I.D.). This column design permits a direct split-free connection of the LC × LC to an electrospray-based mass spectrometer (ESI-MS), contributing to heightened sensitivity. The MS acquisition is performed in a targeted single-ion monitoring mode, ensuring reliable quantification and identification of the pesticide compounds. A comprehensive evaluation of key performance metrics, including signal-to-noise ratio, limit of detection, and response linearity, is conducted. The methodology achieves a limit of detection below the ng mL -1 and exhibits response linearity within the concentration range of 1-100 ng mL -1 . The robustness of the approach is further demonstrated through intra-day and inter-day repeatability validations. Furthermore, the platform is finally tested on a surface water sample. This study not only introduces an advanced analytical methodology for pesticide multi-residue analysis but also underscores the significance of PALC in enhancing sensitivity by facilitating the use of smaller-diameter columns and water-based mobile phases, along with the role of RPLC in enhancing separation. The proposed approach showcases promising results in achieving detection limits that match the stringent regulatory standards and reliable quantification for effective pesticide residue monitoring., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The biosynthesis and homeostasis of cholesterol are essential for cellular function. Cholesterol is a major lipid with multiple roles in membrane stability, signaling, or as a precursor for other molecules. Because of the structural similarity of the sterols involved in the biosynthesis, their accurate identification and quantification is still challenging. Moreover, the huge difference in the concentration of cholesterol and its precursors can cause interferences during the detection. To overcome these problems, a heart-cut liquid chromatographic method was developed by evaluating 38 different columns to achieve optimal separation. The method efficiently separates all sterol biosynthesis intermediates, with detection limits in the low nmol/L-range and an upper limit of quantification of 9 mmol/L for cholesterol by using triple quadrupole mass spectrometric detection. Investigation of lung carcinoma cells treated with statins demonstrated the capability to detect a biological response, showing inhibition of sterol synthesis. This technique offers a robust tool for studying cholesterol biosynthesis and its role in disease., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Sven W. Meckelmann reports financial support was provided by DFG, German Research Foundation. Oliver J. Schmitz reports financial support was provided by DFG, German Research Foundation. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

In this work, a synthetical glycan fingerprinting strategy using a multiple heart-cut two-dimensional liquid chromatography system linked to mass spectrometry (MHC 2D LC-MS) was developed to analyze enoxaparin, a widely used low molecular weight heparin (LMWH). Glycans from an enoxaparin standard were prepared offline based on size, and the derived tetra-, hexa-, octa- and decasaccharides were profiled using a qualitative analytical platform. Strong anion exchange chromatography (SAX) was employed as the first-dimensional chromatography ( 1 D) to separate glycans of the same size but with different charges or sequences, while size exclusion chromatography (SEC) was used in the second dimension ( 2 D) for desalting before MS analysis. The retention times (RTs), accurate masses and structural compositions of the glycans were fully characterized. Real samples were analyzed using the same platform but with 1 D and 2 D exchanged: SEC was used to separate enoxaparin glycans by size, followed by SAX using the same parameters as in the qualitative platform to separate glycans by charge or sequence. Glycans in real samples were identified by matching their RTs to those assigned in the qualitative analysis and semi-quantitated after normalization of peaks in each SAX chromatogram of glycans of different sizes. The analyses were performed automatically and robustly using this synthetical platform, enabling the fingerprinting and differentiation of enoxaparins from various sources. This platform could serve as a powerful tool for structural analysis, quality control, and heparin-related drug development., Competing Interests: Declaration of competing interest There is no conflict of interest for authors of this manuscript., (Copyright © 2024 Elsevier B.V. All rights reserved.)

A novel method for the quantitative analysis of 56 per- and polyfluoroalkyl substances (PFASs) in human plasma was established on the basis of ultrahigh performance liquid chromatography tandem quadrupole Orbitrap high-resolution mass spectrometry (UHPLC-Q/Orbitrap HRMS) in combination with accurate customized mass databases and isotopic internal standards. A streamlined, high-throughput, and high-recovery (RE) sample pretreatment method was developed. The method's performance was evaluated in terms of linearity, limit of quantification, RE, repeatability, reproducibility, and matrix effect. The proposed method was applied in the simultaneous analysis of 56 PFASs in human plasma, and its results demonstrated high sensitivity, accuracy, and precision. The optimized method was implemented to analyze PFASs in 135 plasma samples, and 12 components were detected. The comparative analysis of the results from 135 plasma samples with domestic and international studies revealed elevated contents of PFOA, PFOS, PFBA, and PFTrDA, the moderate amounts of PFHxS, PFUdA, PFBS, and PFHpS, and the low concentrations of PFNA and PFDA. Notably, GenX was detected in human plasma for the first time. This finding suggests that the study region is contaminated with this substance. Correlation analysis revealed a strong relationship among PFNA, PFDA, and PFUdA, implying that these substances may have similar exposure sources., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: We introduce TRAM, a triple acquisition strategy on a high-speed quadrupole time-of-flight mass spectrometer for merging non-targeted and targeted metabolomics into one run. TRAM stands for "quasi-simultaneous" acquisition of (1) a full scan MS1, (2) top 30 data-dependent MS2 (DDA), and (3) targeted scheduled MS2 for multiple reaction monitoring (MRM) within measurement cycles of ∼1 s. TRAM combines the selectivity and sensitivity of state-of-the-art targeted MRM-based methods with the full scope of non-targeted analysis enabled by high-resolution mass spectrometry., Results: In this work, we deploy a workflow based on hydrophilic interaction liquid chromatography (HILIC). For a broad panel of metabolites, we provide chromatographic retention times, and optimized conditions as a basis for targeted MRM experiments, listing accurate masses and sum formulas for fragment ions (including fully 13 C labeled analogs). Validation experiments showed that TRAM offered (1) linear working ranges and limits of quantification comparable to MRM-only methods, (2) enabled accurate quantification in SRM 1950 human plasma reference material, and (3) was equivalent to DDA-only approaches in non-targeted metabolomics. Metabolomics in human cerebrospinal fluid showcased the power of the strategy, emphasizing the need for high coverage/high throughput metabolomics in clinical studies., Significance: Acquiring up to 30 data-dependent spectra per MS cycle while still offering gold standard absolute quantification down to low nanomolar concentrations, TRAM allows in-depth profiling and reduces required sample volume, time, cost, and environmental impact., Competing Interests: Declaration of competing interest The authors declare no competing financial interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Monoclonal antibodies (mAbs) undergo multiple post-translational modifications (PTMs) during production and storage, resulting for instance in charge and oxidized variants. PTMs need to be assessed as critical quality attributes to assure protein quality and safety. Capillary zone electrophoresis (CZE) enables efficient charge-based separation. The CZE method developed by He et al. (2011) is currently applied routinely in the pharmaceutical industry for profiling charge heterogeneity of mAbs. However, as the method relies on a non-volatile background electrolyte (BGE), it cannot be directly hyphenated with mass spectrometry (MS), hampering the identification of separated charge variants., Results: This study presents a CZE-UV/MS method using a neutral static capillary coating of hydroxypropyl methylcellulose combined with a volatile BGE at pH 5.0 to allow for MS-compatible mAb charge variant separations. The effect of several parameters, including pH and concentration of the BGE, applied voltage, and injected mAb concentrations on separation performance was investigated using a panel of commercially available mAbs. The optimized method was evaluated with IgG 1 and IgG 4 mAbs of varying pI (7.4-9.2) and degrees of heterogeneity. Basic and acidic variants were separated from the parent mAb using a BGE of 50 mM acetic acid adjusted to pH 5.0 with ammonium hydroxide. The relative abundances of charge variants determined with the new method showed a good correlation with the corresponding relative levels obtained with the method of He et al. CZE-MS coupling was accomplished using the nanoCEasy, a low-flow sheath liquid interface, which enabled the identification and quantitation of basic, acidic, and incomplete pyroglutamate variants, and glycoforms of the tested mAbs., Significance: This manuscript describes a new CZE-MS method that permits heterogeneity assessment of mAbs under MS-compatible conditions, providing charge variant separation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Foodomics employs advanced analytical techniques to provide answers regarding food composition, authenticity control, marker identification and issues related to food quality and safety. Nuclear magnetic resonance (NMR) spectroscopy and chromatography hyphenated to mass spectrometry (MS) are the main analytical platforms used in this field. Nevertheless, they are rarely employed in an integrated manner, and even then, the contribution of each technique remains vague. Table olives (Olea europaea L.) are a food commodity of high economic and nutritional value with an increasing production tendency over the last two decades, which, however, suffers from extensive fraud incidents and quality determination uncertainties. Thus, the current attempt aims towards two axes with the first being the multilevel integration of LC-HRMS and NMR data of the same samples and table olives being the selected matrix. In more detail, UPLC-HRMS/MS-based analysis was compared at different stages within an untargeted metabolomics workflow with an NMR-based study and the complementarity of the two platforms was evaluated. Furthermore, statistical heterospectroscopy (SHY), rarely employed in foodomics, combining the spectroscopic with spectrometric datasets and aiming to increase the confidence level of annotated biomarkers was applied. Amongst these lines, the second parallel axis of this study was the detailed characterization of table olives' metabolome in search for quality markers considering the impact of geographical (from Northern to Southern Greece) and botanical origin (Kalamon, Konservolia, Chalkidikis cultivars), as well as processing parameters (Spanish, Greek). To that end, using deep dereplication tools including statistical methods, with SHY employed for the first time in table olives, different biomarkers, belonging to the classes of phenyl alcohols, phenylpropanoids, flavonoids, secoiridoids and triterpenoids were identified as responsible for the observed classifications. The current binary pipeline, focusing on biomarkers' identification confidence, could be suggested as a meaningful workflow not only in olive-based products, but also in food quality control and foodomics in general., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The approaches to matrix effects determination and reduction in ultra-high performance supercritical fluid chromatography with mass spectrometry detection have been evaluated in this study using different sample preparation methods and investigation of different calibration models. Five sample preparation methods, including protein precipitation, liquid-liquid extraction, supported liquid extraction, and solid phase extraction based on both "bind and elute" and "interferent removal" modes, were optimized with an emphasis on the matrix effects and recovery of 8 forms of vitamin E, including α-, β-, γ-, and δ-tocopherols and tocotrienols, from plasma. The matrix effect evaluation included the use and comparison of external and internal calibration using three models, i.e., least square with no transformation and no weighting (1/x 0 ), with 1/x 2 weighting, and with logarithmic transformation. The calibration model with logarithmic transformation provided the lowest %-errors and the best fits. Moreover, the type of the calibration model significantly affected not only the fit of the data but also the matrix effects when evaluating them based on the comparison of calibration curve slopes. Indeed, based on the used calibration model, the matrix effects calculated from calibration slopes ranged from +92% to - 72% for α-tocopherol and from -77% to +19% in the case of δ-tocotrienol. Thus, it was crucial to calculate the matrix effect by Matuszewski's post-extraction approach at six concentration levels. Indeed, a strong concentration dependence was observed for all optimized sample preparation methods, even if the stable isotopically labelled internal standards (SIL-IS) were used for compensation. The significant differences between individual concentration levels and compounds were observed, even when the tested calibration range covered only one order of magnitude. In methods with wider calibration ranges, the inappropriate use of calibration slope comparison instead of the post-extraction addition approach could result in false negative results of matrix effects. In the selected example of vitamin E, solid-phase extraction was the least affected by matrix effects when used in interferent removal mode, but supported liquid extraction resulted in the highest recoveries. We showed that the calibration model, the use of a SIL-IS, and the analyte concentration level played a crucial role in the matrix effects. Moreover, the matrix effects can significantly differ for compounds with similar physicochemical properties and close retention times. Thus, in all bioanalytical applications, where different analytes are typically determined in one analytical run, it is necessary to carefully select the data processing in addition to the method for the sample preparation, SIL-IS, and chromatography., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Unknown impurities, metabolites and harmful pollutants present in pharmaceutical products, biological and environmental samples, respectively are of high concern in terms of their detection and quantification. The targeted analysis aims to quantify known chemical entities, but it lacks the ability to identify unknown components present in a sample. Non-targeted analysis is an analytical approach that can be made applicable to various disciplines of science to effectively search for unknown chemical, biological, or environmental entities that can answer various baffling mysteries of research. It employs various high-end analytical techniques that can specifically screen out multiple unknown compounds from complex mixtures. Non-targeted analysis is also applicable for complex studies such as metabolomics to search unidentified metabolites of new chemical entities. This review critically discusses the current advancements in non-targeted analysis related to the analysis of pharmaceutical, biological, and environmental samples. Various steps like sample collection, handling, preparation, extraction, its analysis using advanced techniques like high-resolution mass spectrometry, liquid chromatography mass spectrometry, and lastly interpretation of the huge amounts of complex data obtained upon analysis of complex matrices have been discussed broadly in this article. Besides the advantages of non-targeted analysis over targeted analysis, limitations, bioinformatics tools, sources of error, and research gaps have been critically analyzed., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Terminalia bellirica (Gaertn.) Roxb. is an ethnomedicinal plant that has been utilized in Tibetan and traditional Chinese medicine (TCM). Nevertheless, its quality standard officially listed in the Chinese Pharmacopoeia does not include any content determination of the indicator components of Terminaliae Belliricae Fructus, which constrains the effective quality evaluation of medicinal material and related products. In this paper, a three-dimensional "content-pharmacokinetics-pharmacology" network strategy was developed to identify the quality markers (Q-markers) of Terminaliae Belliricae Fructus in terms of "measurability", "traceability" and "effectiveness". Chromatographic fingerprint analysis was performed to outline its chemical contour, and identify the differential components of 17 batches of Terminaliae Belliricae Fructus combined with multivariate statistics analysis and UPLC-QTOF-MS analysis. Serum pharmacochemistry analysis was implemented on rats, and 25 prototype components absorbed into the blood were identified. By network pharmacology analysis, a component-disease-target-pathway network was constructed, thus validating the effectiveness of the chemical components of Terminaliae Belliricae Fructus. Afterwards, the above screened candidate components were put into construction of three-dimensional "radar chart". According to the calculated regression area (RA) and coefficient of variation (CV) values, the potential Q-markers was determined, followed by "specificity" evaluation. Ultimately, ellagic acid (EA), chebulagic acid (CHA), gallic acid (GA), chebulinic acid (CA), corilagin (CO) and chebulanin (CH) were specified as the Q-markers of Terminaliae Belliricae Fructus. Owing to high content, good pharmacokinetic property, high pharmacological activities and specificity. The screened Q-markers could offer a scientific foundation for the quality control of Terminaliae Belliricae Fructus, and the proposed strategy is demonstrated to be reliable and feasible for deciphering Q-markers of TCM., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Juan Chen reports financial support was provided by Ministry of Science and Technology of the People's Republic of China. Juan Chen reports financial support was provided by National Medical Products Administration. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

Heparin is the most widely used anticoagulant in clinical practice, with enoxaparin being one of the most important low molecular weight heparins (LMWHs). In this study, an antithrombin III (ATIII) affinity column was used. Enoxaparin and its oligosaccharides of varying sizes, prepared using preparative size exclusion chromatography (SEC), were fractionated through the ATIII affinity column. The different affinity fractions from each oligosaccharide size were profiled using strong anion exchange (SAX) chromatography. Each peak was automatically transferred to an SEC column for desalting prior to mass spectrometry (MS) analysis, which enabled structural identification using a multiple heart-cut (MHC) 2D LC-MS system (SAX-SEC-MS). The high-affinity fraction from enoxaparin was further analyzed using the MHC 2D LC system (SEC-SAX). SAX profiles of the high-affinity oligosaccharides, prepared by both size and affinity fractionation, were consistent with those obtained by direct SEC-SAX analysis. The possible sequences of several high-affinity hexasaccharides and the domain compositions of high-affinity octa- and decasaccharides in enoxaparin were further elucidated by disaccharide analysis after manual collection of the oligosaccharides. This work advances the understanding of enoxaparin's structural features and offers a potential approach to improve the quality of enoxaparin, as well as to identify key structural motifs in heparin/LMWHs that contribute to protein binding., Competing Interests: Declaration of competing interest There is no conflict of interest for authors of this manuscript., (Copyright © 2024. Published by Elsevier B.V.)

Background: Single cell mass spectrometry (scMS) has shown great promise for label free proteomics analysis recently. To present single cell samples for proteomics analysis by MS is not a trivial task. Existing methods rely on robotic liquid handlers to scale up sample preparation throughput. The cost associated with specialized equipment hinders the broad adoption of these workflows, and the sequential sample processing nature limits the ultimate throughput., Results: In this work, we report a parallel sample processing workflow that can simultaneously process 10 single cells without the need of robotic liquid handlers for scMS. This method utilized 3D printed microfluidic devices to form reagent arrays on a glass slide, and a magnetic beads-based streamlined sample processing workflow to present peptides for LC-MS detection. We optimized key operational parameters of the method and demonstrated the quantification consistency among 10 parallel processed samples. Finally, the utility of the method in differentiating cell lines and studying the proteome change induced by drug treatment were demonstrated., Significance: The present method allows parallel sample processing for single cells without the need of expensive liquid handlers, which has great potential to further improve throughput and decrease the barrier for single cell proteomics., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Peng Li reports financial support was provided by the National Institutes of Health and the National Science Foundation., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Microcystins (MCs) can be detected in various matrices in two forms: a freely extractable fraction and a total (free and covalently protein-bound) fraction. Although the majority of MCs analyses are limited to the free fraction, they do not allow the analysis of all MCs variants or protein-bound forms. Other methods, known as total MCs analysis methods, enable simultaneous analysis of all MCs variants, as well as bound forms, which may be a major form of toxin accumulation in organisms. Among these techniques, the chemical oxidation method (e.g. Lemieux) allows the detection of total forms of MC (and nodularins) by oxidizing the common part to all MC and nodularins, and analyzing the resultant MMPB product (2-methyl-3-methoxy-4-phenylbutyric acid). However, the execution of this method in the context of health monitoring is challenging due to the variability of the protocols, the recoveries obtained with these protocols, and the important matrix effects associated with the method. The objectives of this study were i) to optimize an existing protocol of chemical oxidation "Lemieux1" on fresh fish fillet matrices, ii) to compare two existing protocols ("Lemieux1" and "Lemieux2"), and iii) apply Lemieux oxidation to fish fillets and livers naturally contaminated with MCs-producing cyanobacteria and to freshwater mussels contaminated with MCs in laboratories. Optimization of the "Lemieux1" protocol, in particular in the oxidation and SPE (solid phase extraction) steps improved the method's yields on the fresh fish fillet matrix (from <5 % to around 40 %). Moreover, several quantification methods have been compared through various calibration techniques (solvent calibration curve, matrix-matched calibration curve, oxidized MC-LR calibration curve and also by testing the addition of d 3 -MMPB as an internal standard). Comparison with the "Lemieux2" protocol showed the best results on the same matrix, with yields of around 65 %. MMPB was analyzed using this "Lemieux 2" protocol, in livers of carps sampled during an episode of cyanobacteria proliferation, at concentrations ranging from 17.9 to 27.5 μg/kg MMPB and at concentrations ranging from 50 to 2890 μg/kg MMPB in freshwater mussels laboratory contaminated to MCs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

Salvia miltiorrhiza, a widely used traditional Chinese medicine, contains a complex matrix of hydrophobic diterpenoids and hydrophilic phenolic acids, presenting significant challenges in comprehensive analysis. In this study, an online polarity-partitioned two-dimensional liquid chromatography coupled with mass spectrometry (2D-LC-MS) method was developed for comprehensive analysis of both lipophilic and hydrophilic active components in Salvia miltiorrhiza. The method integrated hydrophilic interaction liquid chromatography (HILIC) and reversed-phase liquid chromatography (RPLC), facilitating the efficient separation of compounds across a wide range of polarities. An online dilution strategy was implemented, minimizing sample loss and enhancing the method's utility for quality control and chemical characterization of complex herbal matrices. Compared with other LC methods, this approach significantly improved analyte coverage, resolution, and analysis efficiency. Under optimal conditions, 150 active components were successfully identified, including 33 compounds newly discovered in Salvia miltiorrhiza. Additionally, the validated online method was applied to the quantitative determination of 16 quality markers of Salvia miltiorrhiza from different sources. The results demonstrated the online method's potential as a superior alternative to existing techniques, offering broader applicability in traditional Chinese medicine research., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

The characterization of plant extracts is usually accomplished by reverse-phase liquid chromatography, but the development of new complementary approaches, such as HILIC, offers an orthogonal method. In this study, five HILIC stationary phases were evaluated to assess their ability to retain polyphenols. They were selected to cover the main different HILIC mechanisms: bare silica; silica with ethylene bridge; neutral amide; amino; zwitterionic. A total of 31 polyphenol standards were used for the screening, including 9 stilbenes, 8 flavonoids, 6 anthocyanins, and 8 phenolic acids. Three different detections were tested: diode array detector, charged aerosol detector and mass spectrometry. Results indicated that silica supports were not suitable for retaining polyphenols, with no or low retention observed except for anthocyanins. The effectiveness of stationary phases in retention of phenolics following the order related to increased retention: zwitterionic, amide, and amino. The choice of mobile phase also influenced retention. Mobile phases containing TFA as pH modifier limited retention, while formic acid was found to be more effective for polyphenol retention. Ammonium buffers also improved retention but often compromised peak shape. pH changes mainly impacted ionizable compounds, such as phenolic acids, by increasing their retention when they were ionized. DAD was wellsuited for detecting polyphenols that possess aromatic rings, though peak wavelengths depend on the structures of the polyphenols. CAD, while less sensitive than DAD and MS, provided an almost similar response for structurally related compounds, even with gradient elution. MS was the preferred detector for quantification when resolution between compounds was challenging, as it is often the case with natural extracts. The study successfully demonstrated that best HILIC conditions were obtained using an amino stationary phase composed of a polyethylenimine and formic acid-based mobile phase. These conditions were successfully applied to the analysis of stilbenoid-rich extracts from different parts of the vine. The elution order of stilbenoids followed the degree of polymerization. With CAD, the chromatographic profile was more representative of sample composition. It was demonstrated for the first time the interest of a combination of HILIC and CAD for analyzing stilbenes, offering a complementary approach to the classic RP analysis., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

It is important to develop specific adsorbents for malachite green and other fish drug residues. Herein, a simple strategy for synthesizing a novel magnetic covalent organic frameworks (rFe 3 O 4 @Py-COF) has been studied, and the materials were used as a magnetic absorbent for solid phase extraction (MSPE) of malachite green (MG) and its metabolite as leucomalachite green (LMG) in fishes. In this study, the mild reduction program of formic acid replacing traditional sodium borohydride as a reducing agent has been adopted to increase the stability of the framework, which can maintain the original high crystallinity and surface area of the reduced COF. The secondary amine bond is expected to be used as the reaction center for further functionalization of COF pore wall. Subsequently, rFe 3 O 4 @Py-COF (rmCOF) obtained after reduction was used as MSPE materials to detect MG and LMG by a portable mass spectrometer. After optimizing the conditions, the linearity is good within the range of 1.25∼100 μg/kg (R 2 ≥0.9954), the limits of detection (LODs) are 0.31∼0.44 μg/kg with satisfactory recovery (85.0 %∼106.0 %). These results indicate that the assay is suitable for monitoring MG and LMG in complex aquatic foods, providing protection for food safety., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Nitrosamine drug substance related impurities (NDSRIs) are often analyzed using high performance liquid chromatography (HPLC) with mass spectrometry (MS) detection. Due to high sensitivity requirements, high resolution MS or MS/MS is commonly used. However, it is difficult to implement this type of method for routine analysis at a supply site. Herein, we report a systematic approach to develop and validate a practical, robust, and user-friendly method for the analysis of NDSRIs using an inexpensive single quadrupole MS instrument such as QDa. We used 7-nitroso-3-(trifluoromethyl)-5,6,7,8-tetrahydro- [1,2,4] triazolo [4,3-a] pyrazine (NTTP) as an example to demonstrate the method development process. By optimizing the HPLC and MS parameters, we were able to develop a simple HPLC-MS method that provides the desired specificity and sensitivity for the analysis of NTTP and can be easily implemented in an analytical lab. The limit of quantitation is 0.5 ng/mL, corresponding to 0.1 ppm with respect to 5 mg/mL sitagliptin. The method has been successfully validated per ICH guidelines., Competing Interests: Declaration of competing interest I have The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Qing-Kai-Ling oral liquid is commonly used clinically for the treatment of fever and upper respiratory tract infection. Moreover, studies have shown that Qing-Kai-Ling oral liquid has an anti-pneumonia effect. However, owing to its complex pharmacodynamic material basis, its pharmacological research and clinical application are limited. To address this problem, the chemical constituents of Qing-Kai-Ling oral liquid were identified by ultra-high performance liquid chromatography quadrupole-Exactive Orbitrap mass (UHPLC-Q-Exactive Orbitrap MS) and network pharmacology methods, which were used to predict its potential anti-pneumonia target and signalling pathway. A total of 150 compounds were identified and tentatively characterized, including 35 amino acids and their derivatives, 36 organic acids, 20 terpenoids, 20 alkaloids, 12 glycosides, 7 flavonoids, and 20 others. Among them, 14 compounds were accurately identified by comparing their retention time and mass spectrum data with those of reference substances. Additionally, we performed molecular simulation calculations via Density Function Theory to determine the plausibility of the compound cleavage reactions and further confirm compound structures. Furthermore, 90 key targets were screened through network pharmacology, with the particular focus on the PI3K-AKT, MAPK and TNF signalling pathways. This method achieved the first comprehensive identification of the chemical composition of Qing-Kai-Ling oral liquid and elucidated its potential mechanism of anti-pneumonia. The results provide valuable reference and data support for pharmacodynamic substance research and quality control., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

This study presents a method utilizing solid-phase microextraction Arrow (SPME Arrow) combined with ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) for the selective detection of three veterinary drugs-thiabendazole, sulfamethazine, and clenbuterol-in milk and pork. Two-dimensional metal-organic framework nanosheets (2D-MOFs) were employed as coating materials for the SPME Arrow. Three types of 2D-MOFs (Ni, Mn, and Co based) were synthesized and characterized using Fourier transform infrared spectroscopy, scanning electron microscopy, transmission electron microscopy, and a physical adsorption analyzer. The 2D-MOF coatings were fabricated using the electrospinning technique, with polyacrylonitrile (PAN) serving as the binder. Comparative analysis of the three 2D-MOF coatings revealed that 2D-Ni-MOF was the optimal coating material for the SPME Arrow. Optimization of the coating preparation conditions and SPME procedures included determining the optimal mass ratio of 2D-Ni-MOF to PAN, electrospinning time, and extraction and desorption parameters. Equilibrium extraction was achieved within 60 min, and desorption was completed within 30 min. Subsequently, the 2D-Ni-MOF-SPME Arrow-UPLC-Q-TOF-MS method was established and validated under optimal conditions, demonstrating high precision with inter-day precision ranging from 3.8 % to 9.5 % and intra-day precision ranging from 5.1 % to 11.5 %. The reusability study indicated that the extraction performance of the new SPME Arrow remained consistent after 90 adsorption-desorption cycles. The method exhibited linearity in milk and pork over the ranges of 0.002-5 μg L -1 and 0.01-5 μg L -1 , respectively. The detection limits in milk and pork were 0.001-0.004 μg L -1 and 0.003-0.007 μg L -1 , respectively. This method demonstrated excellent applicability for determining residues of the three veterinary drugs in milk and pork., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Hangzhen Lan reports financial support was provided by Ningbo University. Hangzhen Lan reports financial support was provided by One Health Interdisciplinary Research Project of Ningbo University. Hangzhen Lan reports financial support was provided by J National Natural Science Foundation of China. Hangzhen Lan reports financial support was provided by Key R&D Program of Zhejiang. Hangzhen Lan reports financial support was provided by Natural Science Foundation of Zhejiang Province. Hangzhen Lan reports financial support was provided by Science and Technology Programs of Ningbo., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Polyfunctional thiols are key contributors to wine aroma due to their extremely low odor thresholds, and their quantitative analysis remains challenging as a result of their ultratrace concentrations and high reactivity. This work presents the first method based on ultra-high-performance liquid chromatography (UHPLC) coupled to quadrupole Orbitrap high-resolution mass spectrometry (HRMS) in parallel reaction monitoring (PRM) mode for quantifying thiols at nanograms per liter (ng/L) levels in wine. Thiols in wine were derivatized using 4,4'-dithiodipyridine and isolated by liquid-liquid extraction. This protocol allowed rapid sample preparation with minimum labor input and low consumable expenses. Instrumental analysis was conducted using UHPLC-quadrupole Orbitrap HRMS in PRM mode. Twenty thiol analytes, including literature-known, recently identified, and novel thiols were selected and validated by the optimized method in three wine matrices. The overall analytical performances demonstrated by this method were equivalent, and in most cases, greater than many previously developed GC-MS or LC-MS methods. The validated method was applied to analyze a selection of wines in which 12 thiols were quantified., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

This manuscript discusses the development of a reversed-phase ultra high-performance liquid chromatography (RP UHPLC) method based on phenyl-bonded stationary phases without ion-pairs for the separation and identification of oligonucleotides. The elimination of ion-pair reagents makes the proposed protocol as more compliant to the principles of green chemistry, compared to the traditional ion-pair reversed-phase liquid chromatography methods (IP RP LC). In detail, three phenyl-based stationary phases were tested, namely a C18/AR (a C18 stationary phase with the addition of aromatic groups), a Phenyl-hexyl, and a Diphenyl. Generally, the retention of oligonucleotides increases with the increase of salt concentration and the decrease of the pH, thus confirming the significant impact of van der Waals interactions, salting-out effect, and π-electrons interactions in the retention mechanism. The highest retention and best peak symmetry were observed for the C18/AR stationary phase, while the lowest retention for the Phenyl-hexyl, with retention influenced by the type of salt in the mobile phase. The obtained methods using C18/AR stationary phases allow for the effective separations of positional isomers and for identifying impurities and degradation products using RP UHPLC Q-TOF-MS in a comparatively short time. The application of RP UHPLC Q-TOF-MS provides reasonable selectivity for the resolution of 33 impurities and two degradation products. Both groups of compounds are mainly 3'N and 5'N-shortmers, but in the case of impurities, modifications of cyclic phosphate and phosphate groups were also identified. Nevertheless, Diphenyl and Phenyl-Hexyl may be applied to separate modified oligonucleotides with higher salt concentrations. The proposed separation methods without ion-pair reagents contribute to a more sustainable approach in oligonucleotide analysis., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

A nanospray emitter coupled to a supercritical fluid chromatograph (SFC-nSI-MS) for mass spectrometric (MS) analysis of fatty acids (FA) positional isomers is introduced. The experimental setup uses conventional bore columns before the SF back-pressure regulator (pre-BPR). The flow is then split and nanosprayed using a short emitter post-BPR. A C18 column was used to resolve positional isomers of unsaturated FA with a 5 min gradient. Chromatographic resolution of the nSFC was compared to a LC-MS system with superior resolving power demonstrated in the nSFC MS system. This system has proven quantitative performance for analyzing pharmaceutical effects on FA composition in a complex biological matrix like E coli lysate., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Recent advances in fluoropolymer polymerization have focused on replacing perfluorinated polymerization aids (PAs) with hydrocarbon-based alternatives. Hydrocarbon PAs are vulnerable to fluorinated radicals during polymerization, leading to the creation of hundreds of process-specific polyfluorinated residuals. These residuals, which include low molecular weight extractable or leachable impurities, are challenging to detect at trace levels. This study investigates a polytetrafluoroethylene (PTFE) dispersion prepared with a hydrocarbon-based surfactant (DOSS) to measure these process-specific fluorinated residues. Liquid chromatography high resolution mass spectrometry is one of the few analytical methods that offers the sensitivity and selectivity required to detect these residuals in complex matrices at concentrations as low as parts per billion. The results indicate that using a hydrocarbon PA during emulsion polymerization produces numerous polyfluorinated residuals. These must be identified and monitored to develop effective abatement strategies, ensuring responsible fluoropolymer manufacturing., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: John C. Sworen, Peter A. Morken, Adam P. Smith, Jill E. Boyle, Maria D. Cervantes Garcia, Jordyn Kramer, Michael P. Wadsley, and Michael C. Davis reports a relationship with The Chemours Company that includes employment., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The characterization of cysteine-linked antibody‒drug conjugates (ADCs) can be more challenging than that of monoclonal antibodies (mAbs) and lysine-linked ADCs because the interchain disulfide bonds are reduced for payload conjugation, and the chains are noncovalently bonded to each other. Furthermore, payload conjugation and disulfide bond reduction/scrambling may introduce additional charge heterogeneity to biomolecules. This study illustrates an innovative workflow employing multiple separation techniques and tandem high-resolution mass spectrometry for comprehensive and in-depth characterization of disitamab vedotin, a recent-generation cysteine-linked ADC, including reversed-phase liquid chromatography (RPLC), ion exchange chromatography (IEX) and image capillary isoelectric focusing (icIEF). RPLC was employed for reduced chains analysis, subunit analysis and peptide mapping. IEX and icIEF were used for charge heterogeneity analysis. The innovation of the integrated methodology emphasizes the importance of cutting-edge icIEF-MS online coupling under near-native conditions to reveal the heterogeneity of disitamab vedotin., Competing Interests: Declaration of competing interest The authors have declared no conflict of interest., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Studying the changes in organic matter and characteristic pollutants during the treatment of penicillin-containing pharmaceutical wastewater, which can be reflected by changes in dissolved organic matter (DOM), is crucial for improving the effectiveness of wastewater treatment units and systems. Herein, water quality indicators, spectroscopic methods, and Fourier-transform ion cyclotron resonance mass spectrometry were utilized to characterize the general molecular compositions and specific molecular changes in DOM during the treatment of typical penicillin-containing pharmaceutical wastewater, including in each of the influent, physicochemical treatment, biological treatment, oxidation treatment, and effluent stages. The influent exhibited a high organic matter content (concentration of dissolved organic carbon >10,000 mg·L -1 ), its DOM mainly contained protein- and lignin-like substances composed of CHON and CHONS molecules, and the relative intensity (RI) of penicillin was extremely high (RI = 0.220). Compared with the influent, the abundance of CHON and CHONS molecules detected after physicochemical treatment decreased by 70.3 % and 62.5 %, respectively, and the RI of penicillin decreased by 85.5 %. Biological treatment caused substantial changes in DOM components through oxidation, dealkylation, and denitrification reactions, accounting for 36.8 %, 28.9 %, and 14.8 % of the total identified reactions, respectively. Additionally, lignin-like substances were generated in large quantities, the overall humification level significantly increased, and the RI value increased for the penicillin intermediate, 6-aminopenicillanic acid (6-APA). Oxidation treatment effectively removed phosphorus-containing substances and some lignin-like substances produced by biological treatment; however, it was not effective in removing characteristic pollutants such as 6-APA. Such characteristic substances continued to be present in the effluent, and the DOM mainly contained protein- and humus-like substances, accounting for 30.8 % and 47.3 %, respectively. The study findings reveal the changes in organic matter and characteristic pollutants during the treatment of penicillin-containing wastewater from the perspective of the general molecular composition and specific molecular changes in DOM, providing support for further exploration of wastewater treatment mechanisms and improvements in treatment unit efficiency., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Microcystins are an emergent public health problem. These toxins are secondary metabolites of harmful cyanobacterial blooms, with blooms becoming more prevalent with eutrophication of water. Exposure to microcystins can result in sickness, liver damage, and even death. Over 300 microcystins have been identified to date, with differences in toxicity based on the specific amino acid composition. Because of this diversity in microcystins, as well as the likelihood of detecting as yet undiscovered microcystins, it is vital to establish a methodological workflow to identify any microcystin in a complex sample, regardless of the availability of a reference standard. Additionally, ascribing varying levels of confidence to these identifications is critical to effectively communicate discoveries., Methods: A liquid-chromatography-high-resolution mass spectrometry method was utilized to identify microcystins present in cyanobacterial extracts from a strain of Microcystis aeruginosa and an Aphanizomenon sp. First, microcystin congeners with available standards were identified in the cyanobacterial extract. These known-unknown microcystins were considered to have the highest confidence identifications due to availability of accurate masses, retention times, and library spectra for comparison. Utilizing the spectra of these microcystins, relatively high-abundance diagnostic product-ions were identified and employed to screen the data for additional candidate microcystins. Microcystins without a standard that had an exact mass matching a microcystin published in CyanoMetDB were considered semi-known-unknown microcystins. The remaining microcystins were considered unknown-unknown microcystins. The identities of the microcystins determined herein were additionally supported by product-ion analysis, thiol reactivity, esterification reactions, neutral loss analysis, and literature contextualization., Results: In total, utilizing the systematic workflow presented herein, 23 microcystins were identified in the M. aeruginosa culture, including two not published previously: [d-Asp 3 ]MC-LCit and the incompletely identified MC-L(C 7 H 11 NO 3 )., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

This study has developed a new targeted methodology for the separation, detection, and quantification of metabolites from the wider energy metabolome of industrially important microorganisms such as Saccharomyces cerevisiae in a single analytical sample. This has been achieved using UHPLC-MS technology in HILIC mode. Absolute concentrations of metabolites nicotinamide adenine dinucleotide (NAD), nicotinamide adenine dinucleotide reduced (NADH), nicotinamide adenine dinucleotide phosphate (NADP), nicotinamide adenine dinucleotide phosphate reduced (NADPH), flavin adenine dinucleotide (FAD), adenosine-monophosphate (AMP), adenosine-diphosphate (ADP), and adenosine-triphosphate (ATP) were determined in a single extraction and analytical methodology. This study demonstrated the development of a rapid, statistically robust, and reproducible methodology through regression calibrations of standard samples from 0.1 to 100 µMol providing a correlation value of r 2  = >0.98 for all metabolites. Sample preparation, extraction and analytical methodologies used showed high accuracy, sensitivity, and recovery. With an LOD and LOQ for the targeted analysis of metabolites from the wider energy metabolism in a single sample and analytical run with the lowest LOD of 0.055 nMol (±0.002) and lowest LOQ of 0.167 nMol (±0.006). This method was then applied to Saccharomyces cerevisiae cell culture to evaluate the methodology in industrially used microbial cultures. Results obtained have been statistically determined to be robust and reproducible through recovery analysis using deuterated and isotopically labelled internal standards AMP- 15 N, ADP- 15 N and ATP-d 14 ., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS)-based methods have become the gold standard methodology for the comprehensive profiling of the human plasma lipidome. However, both the complexity of lipid chemistry and LC-HRMS-associated data pose challenges to the characterization of this biological matrix. In accordance with the current consensus of quality requirements for LC-HRMS lipidomics data, we aimed to characterize the NIST® Standard Reference Material for Human Plasma (SRM 1950) using an LC-ESI(+/-)-MS method compatible with high-throughput lipidome profiling. We generated a highly curated lipid database with increased coverage, quality, and consistency, including additional quality assurance procedures involving adduct formation, within-method m/z evaluation, retention behavior of species within lipid chain isomers, and expert-driven resolution of isomeric and isobaric interferences. As a proof-of-concept, we showed the utility of our in-house LC-MS lipidomic database -consisting of 592 lipid entries- for the fast, comprehensive, and reliable lipidomic profiling of the human plasma from healthy human volunteers. We are confident that the implementation of this robust resource and methodology will have a significant impact by reducing data redundancy and the current delays and bottlenecks in untargeted plasma lipidomic studies., Competing Interests: Conflict of Interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Affinity-oriented online ligand screening with LC coupled to different detectors is widely popular to capture active compounds from herbal medicines (HMs). However, false-positive extensively occurs because insufficient information is recorded for the existence and stability of ligand-protein complex. Here, efforts were made to advance the hit confidences via configuring post-column infusion-LC-energy-resolved-affinity MS (PCI-LC-ER-AMS) to achieve "four-in-one" monitoring of: 1) response decrement of potential ligands; 2) response decrement of protein; 3) ions relating to ligand-protein complexes; and 4) ligand-protein binding strength. Ligand fishing for Cyt C from HMs was conducted as a proof-of-concept. For utility justification, a mimic sample containing twelve well-defined ligands and two negative controls underwent LC separation and met Cyt C prior to Qtof-MS measurements. Compared to Cyt C- or ligand-free assay, twelve ligands instead of negative controls showed response decrements that were consistent with twelve negative peaks observed at retention times corresponding to the ligands in Cyt C ion current chromatogram. Serial ions correlating to each ligand-Cyt C complex were observed. After recording breakdown graphs, optimal collision energy (OCE) corresponding to the non-covalent bond dissociation was positively correlated with binding strength. Two HMs including Scutellariae Radix (SR) and Aconiti Lateralis Radix Preparata were investigated. Consequently, 24 compounds were merely fished from SR, and particularly, flavonoid glycosides exhibited greater OCEs and also binding strengths over aglycones. Affinity assays and cellular evaluations consolidated the significant interactions between each captured compound and Cyt C. Overall, PCI-LC-ER-AMS is eligible for confidence-enhanced online ligand screening for Cyt C from HMs through "four-in-one" measurement., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The analysis of steroids for endocrine disorders is in transition from immunoassay of individual steroids to more specific chromatographic and mass spectrometric methods with simultaneous determination of several steroids. Gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) offer unrivalled analytical capability for steroid analysis. These specialist techniques were often judged to be valuable only in a research laboratory but this is no longer the case. In a urinary steroid profile up to 30 steroids are identified with concentrations and excretion rates reported in a number of ways. The assays must accommodate the wide range in steroid concentrations in biological fluids from micromolar for dehydroepiandrosterone sulphate (DHEAS) to picomolar for oestradiol and aldosterone. For plasma concentrations, panels of 5-20 steroids are reported. The profile results are complex and interpretation is a real challenge in order to inform clinicians of likely implications. Although artificial intelligence and machine learning will in time generate reports from the analysis this is a way off being adopted into clinical practice. This review offers guidance on current interpretation of the data from steroid determinations in clinical practice. Using this approach more laboratories can use the techniques to answer clinical questions and offer broader interpretation of the results so that the clinician can understand the conclusion for the steroid defect, and can be advised to program further tests if necessary and instigate treatment. The biochemistry is part of the patient workup and a clinician led multidisciplinary team discussion of the results will be required for challenging patients. The laboratory will have to consider cost implications, bearing in mind that staff costs are the highest component. GC-MS and LC-MS/MS analysis of steroids are the choices. Steroid profiling has enormous potential to improve diagnosis of adrenal disorders and should be adopted in more laboratories in favour of the cheap, non-specific immunological methods., (Copyright © 2024. Published by Elsevier Inc.)

Membranous nephropathy (MN) results from accumulation of antigen-antibody immune complexes along the subepithelial region of the glomerular basement membranes. Over the last years, 13 target antigens have been discovered and include PLA2R, THSD7A, EXT1 and EXT2, NELL1, SEMA3B, NCAM1, CNTN1, HTRA1, FAT1, PCDH7, NTNG1, PCSK6 and NDNF, accounting for 80-90% of MN antigens. MN associated with many of these antigens have distinctive clinicopathologic findings. It is important to accurately identify the antigen in MN. Immunohistochemical (IHC) and/or immunofluorescence (IF) methods are currently used to detect PLA2R, THSD7A, NELL1, SEMA3B and EXT1/EXT2. However, for the remaining antigens, IHC/IF methods do not exist and are not practical for detection. Here, we developed laser microdissection-based mass spectrometry methodology (LMD/MS) as a one-stop clinical test for the detection of MN antigens using paraffin-embedded kidney biopsy tissue. The LMD/MS test was validated in two steps. LMD/MS was used to detect the antigen in 75 cases of MN with known antigens and correctly identified the antigen in all these cases. Next, LMD/MS was used to identify the antigen in 61 MN cases where the antigen was unknown and identified one of the known antigens in 40 of 61 cases including many of the less common antigens. This lower-than-expected detection rate is explained by intentional enrichment of the cohort with PLA2R-negative MN. Overall, PLA2R was identified in 16.4%, one of the other antigens detected in 49.1%, and in the remaining 34.5% of cases, none of the above antigens was detected. Thus, LMD/MS is an extremely useful and reliable method for the detection of known MN antigens and possibly indicating an unknown MN antigen for eventual discovery., (Copyright © 2024 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.)

A new flow batch (FB) system for chemical vapor generation (CVG) is proposed for mercury (Hg) determination in fish. An inductively coupled plasma mass spectrometer was used as a detector. Low-cost peristaltic mini pumps were used to propel the solutions and different configurations of FB systems (reactor/gas/liquid separator) were studied. The proposed configuration of the FB-CVG system allows good sensitivity, low limit of detection (LOD) and low consumption of reagents and sample solutions. In summary, only 1 mL of reductant, 1 mL of acid and 0.16 mL of sample are needed. The proposed method has good linearity, precision (better than 5 %), LOD of 0.008 μg g -1 and LOQ of 0.012 μg g -1 , and high sample throughput, allowing 90 measurements/h. The accuracy of the method was evaluated through the analysis of a certified reference material (DOLT-4 Dogfish Liver), whose result is in good agreement with certified value (t-test with 95 % confidence level) and the quantification limit meets current legislations, of 1.0 μg g -1 (Brazil) and 0.3 μg g -1  (EU). In addition, analyte recovery test was done, where Hg recovery was better than 95 %, demonstrating the good analytical performance of the method. To demonstrate the applicability of the method, five samples of fish tissue (muscle) were analyzed. The proposed FB-CVG system, in addition to being low cost, is robust and requires only the volume of reagents necessary for Hg vapor generation, producing a very low amount of waste. It can be concluded that the proposed system can be used for routine analysis for Hg determination in fish tissue. It is worth noting that with the appropriate adjustments, the system can be coupled to different Hg detectors., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Correlative imaging of cutaneous tumors provides additional information to the standard histopathologic examination. However, the joint progress in the establishment of analytical techniques, such as Laser-Induced Breakdown Spectroscopy (LIBS) and Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) in clinical practice is still limited. Their combination provides complementary information as it is also shown in our study in terms of major biotic (Ca, Mg, and P) and trace (Cu and Zn) elements. To elucidate changes in the elemental composition in tumors, we have compiled a set of malignant tumors (Squamous Cell Carcinoma, Basal Cell Carcinoma, Malignant Melanoma, and Epithelioid Angiosarcoma), one benign tumor (Pigmented Nevus) and one healthy-skin sample. The data processing was based on a methodological pipeline involving binary image registration and affine transformation. Thus, our paper brings a feasibility study of a practical methodological concept that enables us to compare LIBS and LA-ICP-MS results despite the mutual spatial distortion of original elemental images. Moreover, we also show that LIBS could be a sufficient pre-screening method even for a larger number of samples according to the speed and reproducibility of the analyses. Whereas LA-ICP-MS could serve as a ground truth and reference technique for preselected samples., Competing Interests: Declaration of competing interest All authors hereby declare that they have no conflict of interest with regard to the presented study. Moreover, the ethical issues related to the handling and analysis of clinical samples (biopsies of human cutaneous tumors and healthy skin) were done under the approval of the ethical committee of the Hradec Králové University Hospital (ref. number 201805 S08P) where the patients were treated., (Copyright © 2024 Elsevier B.V. All rights reserved.)

In this study, a boronic acid incorporated metal organic frameworks (inBA-MIL-100) were prepared via metal-ligand-fragment co-assembly strategy. The prepared frameworks can be served either as enrichment sorbent or SALDI-MS matrix for cis-diol containing molecules. Thus, a dual-modal analysis of cis-diols in traditional Chinese medicine has been established. Several significant advantages of the proposed strategy have been experimentally demonstrated, including high selectivity, high binding capacity (70 mg/g), good generality (5-250 μg/mL for HPLC based sample preparation, 10-500 ng/mL for SALDI-MS), high sensitivity (LOD: 180 ng/mL for HPLC based sample preparation, 5 ng/mL for SALDI-MS) and reliable quantification (RSD<3 % for HPLC based sample preparation, RSD<12 % for SALDI-MS) performance. Finally, the successful analysis of various cis-diols (active component and mycotoxin) in various Chinese traditional medicine was also achieved., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

A fast and non-separative screening strategy is presented for the analysis of five urinary metabolites of polycyclic aromatic hydrocarbons (PAHs), namely 2-naphthol, 1-acenaphthenol, 2-hydroxyfluorene, 9-phenanthrol and 1-hydroxypyrene. These hydroxylated derivatives (OH-PAHs) were subjected to enzymatic hydrolysis and were extracted from urine using a liquid-liquid extraction (LLE). The profile signals were obtained by direct injection of the sample into a programmed temperature vaporizer coupled to a quadrupole mass spectrometer via a deactivated fused silica tubing (PTV-qMS). Semi-quantitative determination was carried out by means of partial least squares regression (PLS1) using urine samples free of the analytes and spiked at several uncorrelated concentration levels. The multivariate calibration models worked satisfactorily, with errors ranging between 30 and 33 % for all the analytes except for 1-acenaphthenol that provided an error of 39 % when external validation set was considered. The repeatability and reproducibility, expressed as relative standard deviation (RSD), were ranged between 8-16 % and 11-18 %, respectively. The proposed method could be a useful tool for semi-quantification purposes of five OH-PAHs in urine samples, identifying positive samples for subsequent further chromatographic separation (confirmation), thus saving time and costs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

In this work, we demonstrate the use of capillary electrophoresis and inductively coupled plasma mass spectrometry, as competitive methods primarily for ion chromatography, to determine changes in the concentration of small inorganic ions in the Nostoc sp. culture medium. Although macronutrients were analyzed by capillary electrophoresis with conductivity detection, micronutrients were analyzed by inductively coupled plasma mass spectrometry. The different light settings (light intensity and spectral composition) had a visible effect on the culture growth and depletion of calcium, magnesium, and phosphate ions, and iron and manganese elements when comparing the behavior under red or violet light with that under blue light., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

The growing non-medical use of benzodiazepines (BZs) has led to the emergence of counterfeit BZ pills and new psycho-active substances (NPS) in the BZ class on the illicit market. Comprehensive analytical methods for BZ identification are required to allow law enforcement, first aid responders and drug-checking services to analyze a variety of sample types and contents to make timely decisions on the spot. In this work, the electrochemical behavior of diazepam (DZ), clonazepam (CZ) and alprazolam (AP) is studied on graphite screen-printed electrodes, both with and without dissolved oxygen in the solution, to link their redox signals to their chemical structure. After elucidation of their reduction mechanisms using liquid chromatography coupled to high-resolution mass spectrometry, three structural classes (Class 1, Class 2 and Class 3) were defined, each with different redox centers and electrochemical behavior. Subsequently, 22 confiscated pills containing 14 different BZs were correctly assigned to these three structural classes, with the deoxygenated conditions displaying the highest class selectivity. Finally, the three classes were successfully detected after being spiked into five alcoholic beverages in the context of drug-facilitated sexual assault. For analysis in red wine, which complicated the analysis by interfering with Class 1, a dual test strategy in pH 2 and pH 7 was proposed for accurate detection. Its rapid measurements, broad scope and lack of interference from diluents or colors makes this method a promising approach for aiding various services in combating problematic BZ use., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Recent advances in "omics" technologies have enabled the identification of new beef quality biomarkers and have also allowed for the early detection of quality defects such as dark-cutting beef, also known as DFD (dark, firm, and dry) beef. However, most of the studies conducted were carried out on a small number of animals and mostly applied gel-based proteomics. The present study proposes for the first time a Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH-MS) proteomics approach to characterize and comprehensively quantify the post-mortem muscle proteome of DFD (pH 24  ≥ 6.2) and CONTROL (5.4 ≤ pH 24  ≤ 5.6) beef samples within the largest database of DFD/CONTROL beef samples to date (26 pairs of the Longissimus thoracis muscle samples of young bulls from Asturiana de los Valles breed, n = 52). The pairwise comparison yielded 35 proteins that significantly differed in their abundances between the DFD and CONTROL samples. Chemometrics methods using both PLS-DA and OPLS-DA revealed 31 and 36 proteins with VIP > 2.0, respectively. The combination of different statistical methods these being Volcano plot, PLS-DA and OPLS-DA allowed us to propose 16 proteins as good candidate biomarkers of DFD beef. These proteins are associated with interconnected biochemical pathways related to energy metabolism (DHRS7B and CYB5R3), binding and signaling (RABGGTA, MIA3, BPIFA2B, CAP2, APOBEC2, UBE2V1, KIR2DL1), muscle contraction, structure and associated proteins (DMD, PFN2), proteolysis, hydrolases, and activity regulation (AGT, C4A, GLB1, CAND2), and calcium homeostasis (ANXA6). These results evidenced the potential of SWATH-MS and chemometrics to accurately identify novel biomarkers for meat quality defects, providing a deeper understanding of the molecular mechanisms underlying dark-cutting beef condition., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Terminal deoxynucleotidyl transferase (TdT), a unique template-independent DNA polymerase, plays a crucial role in the human adaptive immune system and is considered a promising biomarker for the diagnosis of various forms of acute or chronic leukemia. The accurate and sensitive detection of trace TdT is of pivotal importance to fulfill the significant medical interest in understanding its pathological functions and diagnosing TdT-related diseases. We hereby present an in-line RNA-based microreactor direct mass spectrometry (MS) method and its application for ultrasensitive, accurate, and rapid analysis of trace TdT activity in leukemic cell samples. A specially designed RNA-based microreactor is fabricated by immobilizing short RNA sequence via covalent Au-S bond on the inner surface of a capillary pre-modified with three-dimensional porous layer (PL) and Au nanoparticles (AuNPs). Utilizing this PL@Au@RNA microreactor, the signal of target TdT is conversed into reporter molecules (adenine), which exhibit a strong MS response. This conversion process enables efficient signal amplification and enhances detection sensitivity. The outlet end of the PL@Au@RNA microreactor is deliberately crafted into a porous tip, serving as an electrospray ionization (ESI) interface to directly couple to ESI-MS in-line. This design facilitates the direct transmission of the generated signaling molecules into the MS system, eliminating the need for laborious sample treatment procedures. By implementing this RNA-based microreactor in direct MS analysis, we have achieved remarkable sensitivity in detecting TdT activity with the limit-of-detection of 4 × 10 -9 U, surpassing other reported methods in literature by three to four orders of magnitude. Furthermore, each assay requires a minimal sample volume of merely 10 nL. This method has successfully demonstrated its application in accurately and efficiently detecting TdT activity in leukemia cells, and its detection results are consistent with those obtained by ELISA kits., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Plastic additives are introduced in plastic material formulations, along with organic polymers, to offer different properties such as stability, plasticity or color. However, plastic additives may migrate from the plastic material to the content (in case of plastic containers) or to the material in contact with the plastic, like human skin. In the case of plastic medical devices, this migration is of particular interest, as plastic additives may be deleterious to health. In the present paper, we examined the interest of combining supercritical fluid extraction (SFE) to supercritical fluid chromatography (SFC) hyphenated to mass spectrometry (MS) in an online system to characterize plastic additives in laboratory gloves, taken as samples of medical devices. A set of target compounds comprising 18 plasticizers, 4 antioxidants and 2 lubricants was defined and their detectability with MS was examined, where it appeared that electrospray ionization (ESI) provided better detectability than atmospheric pressure chemical ionization (APCI). After examining possible stationary phases with the help of Derringer desirability function, an isocratic chromatographic method (CO 2 :methanol 95:5) was developed on Shim-pack UC Phenyl column. The extraction method was examined with a 3-level full factorial design of experiments to optimize the extraction temperature (40 °C) and pressure (200 bar). The online SFE-SFC-MS method was compared to offline methods where the samples were extracted with liquid solvents at atmospheric pressure or high pressure then analysed with SFC-MS. In all cases, offline methods showed significant contaminants (like the oleamide lubricant) issuing from laboratory plastic materials as nitrogen drying station, syringes and filters, while the online method allowed a complete elimination of laboratory contaminations. Furthermore, the online method saved time, solvents and laboratory consumables. It will also show that transferring a compressible fluid from a loading loop is favourable to high efficiency, as the resulting chromatographic peaks are much thinner than when transferring a liquid. Compared to injecting liquid heptane, the efficiency increase was 3.4-fold, while compared to injecting liquid methanol (a common practice in SFC), the efficiency increase was 13-fold. Finally, the additive composition of different laboratory gloves was compared., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Benjamin Caux reports financial support was provided by Agence Nationale pour la Recherche et la Technologie (ANRT). Caroline West reports equipment, drugs, or supplies was provided by Shimadzu Corporation. The corresponding author is a guest editor for the virtual special issue in which this paper is submitted. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: Within the plant kingdom, there is an exceptional amount of chemical diversity that has yet to be annotated. It is for this reason that non-targeted analysis is of interest for those working in novel natural products. To increase the number and diversity of compounds observable in root exudate extracts, several workflows which differ at three key stages were compared: 1) sample extraction, 2) chromatography, and 3) data preprocessing., Results: Plants were grown in Hoagland's solution for two weeks, and exudates were initially extracted with water, followed by a 24-h regeneration period with subsequent extraction using methanol. Utilizing the second extraction showed improved results with less ion suppression and reduced retention time shifting compared to the first extraction. A single column method, utilizing a pentafluorophenyl column, paired with high-resolution mass spectrometry ionized and correctly identified 34 mock root exudate compounds, while the dual column method, incorporating a pentafluorophenyl column and a porous graphitic carbon column, retained and identified 43 compounds. In a pooled quality control sample of exudate extracts, the single column method detected 1,444 compounds. While the dual method detected fewer compounds overall (1,050), it revealed a larger number of small polar compounds. Three preprocessing methods (targeted, proprietary, and open source) successfully identified 43, 31, and 38 mock root exudate compounds to confidence level 1, respectively., Significance: Enhancing signal strength and analytical method stability involves removing the high ionic strength nutrient solution before sampling root exudate extracts. Despite signal intensity loss, a dual column method enhances compound coverage, particularly for small polar metabolites. Open-source software proves a viable alternative for non-targeted analysis, even surpassing proprietary software in peak picking., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Several oxylipins including hydroxy- and epoxy-polyunsaturated fatty acids act as lipid mediators. In biological samples they can be present as non-esterified form, but the major part occurs esterified in phospholipids (PL) or other lipids. Esterified oxylipins are quantified indirectly after alkaline hydrolysis as non-esterified oxylipins. However, in this indirect analysis the information in which lipid class oxylipins are bound is lost. In this work, an untargeted liquid chromatography high-resolution mass spectrometry (LC-HRMS) method for the direct analysis of PL bearing oxylipins was developed., Results: Optimized reversed-phase LC separation achieved a sufficient separation of isobaric and isomeric PL from different lipid classes bearing oxylipin positional isomers. Individual PL species bearing oxylipins were identified based on retention time, precursor ion and characteristic product ions. The bound oxylipin could be characterized based on product ions resulting from the α-cleavage occurring at the hydroxy/epoxy group. PL sn-1/sn-2 isomers were identified based on the neutral loss of the fatty acyl in the sn-2 position. A total of 422 individual oxPL species from 7 different lipid classes i.e., PI, PS, PC, PE, PC-P, PC-O, and PE-P were detected in human serum and cells. This method enabled to determine in which PL class supplemented oxylipins are incorporated in HEK293 cells: 20:4;15OH, 20:4;14Ep, and 20:5;14Ep were mostly bound to PI. 20:4;8Ep and 20:5;8Ep were esterified to PC and PE while other oxylipins were mainly found in PC., Significance: The developed LC-HRMS method enables the comprehensive detection as well as the semi-quantification of isobaric and isomeric PL species bearing oxylipins. With this method, we show that the position of the oxidation has a great impact and directs the incorporation of oxylipins into the different PL classes in human cells., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Nils Helge Schebb reports financial support was provided by University of Wuppertal. Nils Helge Schebb reports financial support was provided by German Research Foundation. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background and Aims: Hyperhomocysteinemia (Hhcy) is a pathological condition marked by increased level of homocysteine and serves as an independent risk factor for a range of diseases including cardiovascular diseases and Alzheimer's disease. This study aims to examine alterations in Hhcy-related metabolites using serum metabolomics and unravel the distinct metabolic pathways involved, thereby offering a theoretical foundation for the early prevention and treatment of Hhcy., Methods: Serum samples were collected from 56 individuals with Hhcy and 44 healthy controls. Metabolic alterations in Hhcy were assessed through multi-platform serum metabolomics analyses. Through multivariate statistical analysis and regression modeling, distinct metabolites in the serum were identified, and various metabolic pathways associated with Hhcy were investigated., Results: Our findings revealed 21 significant different metabolites that distinguished Hhcy from healthy controls. These varied metabolites primarily comprised 10 organic acids, 4 amino acids, 2 fatty acids, and 5 other metabolites. The key differential metabolic pathways identified were the TCA cycle, pyruvate metabolism, arginine biosynthesis, as well as alanine, aspartate, and glutamate metabolism., Conclusions: This study elucidated the variances in metabolic profiles between Hhcy and healthy control groups, highlighting distinct metabolic pathways that may help explain the etiology of Hhcy. These findings offer valuable insights to address the knowledge gaps related to the metabolic alterations associated with Hhcy., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The global prevalence of electronic cigarettes, heated tobacco products, and other smokeless alternatives has grown significantly in the last ten years. These products have been suggested as combustion-free alternatives for conventional tobacco products like cigarettes, aiming to reduce the negative health impacts associated with smoking. However, the impact of those products on the health and safety of the general population are still unclear, as the absolute exposure from those products has not been thoroughly studied, yet. In this project, a non-targeted LC-HRMS method was developed comprising four different analytical modes for the investigation of the exposure profile in urine of the product users. The method is characterized by its high sensitivity and reproducibility, as shown during method validation. As a proof of concept, we first applied this method to detect significant differences in biomarkers of exposure (BoEs) between smokers and non-smokers. We observed a total of 171 BoEs significantly elevated in smokers, including several well-known biomarkers of smoke exposure like nicotine and its metabolites, mercapturic acid derivatives, and phenolic compounds. Some of the detected biomarkers are present at low ng/mL concentrations in urine, proving the high sensitivity needed for a holistic exploration of the exposome. Moreover, we were able to identify BoEs that have not been reported previously for smoking, such as 2,6-dimethoxyphenol and 7-methyl-1-naphthol glucuronide., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovitis, which can lead to joint deformity. Acupuncture treatment stimulates specific acupoints to adjust qi and blood function, relieving joint inflammation and pain., Methods: Ultra-high performance liquid chromatography-mass spectrometry (UPLC-QTOF-MS) was utilized for non-targeted metabolomics analysis of plasma samples from the blank group, Adjuvant-Induced Arthritis (AIA) model mice model mice group, and acupuncture group. Metabolite hierarchical clustering analysis, multivariate statistical analysis, standardized processing, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and other methods were employed to identify targeted metabolites affected by acupuncture treatment in AIA mice. The related metabolic pathways were analyzed using KEGG pathway., Results: Histopathological results demonstrated that acupuncture at Zusanli point (ST 36) significantly improved the inflammatory response in AIA mice. The PCA score plot indicated relatively close sample clustering within each group with significant differences observed between the four groups, confirming successful establishment of the AIA animal model with metabolic disorders occurring. Acupuncture treatment effectively corrected these metabolic disorders. Plasma metabolomics identified a total of 10 differential metabolites primarily associated with arachidonic acid and pentose phosphate metabolic pathways., Conclusions: Acupuncture at ST36 can significantly improve the inflammatory response in AIA mice through modulation of arachidonic acid and pentose phosphate metabolic pathways., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Hypericum japonicum is a traditional folk medicine with various bioactivities such as hepatoprotective, antioxidant, and anti-tumorous. The antioxidant effect of H. japonicum is one of the most prominent effects due to its responsibility for many of its activities. To clarify active natural substance, the antioxidant properties of H. japonicum were preliminarily assessed by ferric reducing-antioxidant power (FRAP), 2,2-azino-bis-3-ethylbenzothiazoline-6-sulphonic acid (ABTS) and Oxygen radical absorbance capacity (ORAC), as well as superoxide dismutase (SOD). Then, a straightforward and effective method named online liquid extraction-high performance liquid chromatography combined with ABTS antioxidant assay and mass spectrometry (OLE-HPLC-ABTS/Q-TOF-MS) was developed to swiftly and directly discover the antioxidants in H. japonicum. Using mobile phase as extraction and separation reagent, coupled with online activity analysis and compounds identification by high-resolution MS, the online system enables rapid screening of natural antioxidant bioactives from complex mixture. By using it, a total of 9 compounds including flavonoids and phenolic acids characterized by retention time, precise mass, and fragmentation ions in MS/MS spectra showed antioxidant action. Finally, the antioxidant and SOD activity of main found active compounds were validated by in vitro experiment assay and molecular docking. In summary, these results suggested that H. japonicum could be considered as a potential source of natural antioxidants, and the online integrated system might become a promising candidate for the natural antioxidants discovery in the future., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)