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Magnolia bark is a traditional Chinese medicine used for hypoglycaemia. With the widespread use of Magnolia bark, its resources are facing a serious shortage. To address this issue, a strategy based on high-coverage mass spectrometry (HCMS) and multidimensional chemical-biological analysis (MCBA) was proposed for the comprehensive exploration of Magnolia officinalis which is the main source of Magnolia bark. The strategy is divided into three main steps. In the first step, the stem bark, stem xylem, root bark, root xylem, leaf and rootlet of Magnolia officinalis were comprehensively analyzed using high-coverage mass spectrometry. In the second step, multivariate statistical analysis was used to explore the heterogeneity of the six parts and detect differential chemical components. In the third step, a combination of experimental screening and molecular docking was used to explore α-glucosidase inhibitors from Magnolia officinalis. Multidimensional chemical-biological analysis (MCBA) of Magnolia officinalis was achieved by combining the last two steps. Finally, a total of 103 compounds were identified from the whole plant of Magnolia officinalis. Differential components of stem bark, stem xylem, leaf, root bark, root xylem and rootlet were systematically revealed. A pair of positional isomers, namely magnolol and honokiol, were found to be α-glucosidase inhibitors. The activity of their combination is superior to that of each single compound, indicating that magnolol and honokiol are in a synergistic relationship. This strategy contributes to comprehensive exploitation of functional plants and effective alleviation of resource shortage. This study also provides a research paradigm for other similar traditional Chinese medicinal plants., 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: The radiation sterilization is one of the best methods for sterilizing vulnerable degradation drugs like cefozopran hydrochloride. Results: Chemical stability of radiosterylized cefozopran hydrochloride, was confirmed by spectrophotometric and chromatographic methods. EPR studies showed that radiation has created some radical defects whose concentration was no more than several dozen ppm. The antibacterial activity of cefozopran hydrochloride irradiated with a dose of 25 kGy was unaltered for Gram-positive bacteria but changed for two Gram-negative strains. The radiation sterilized cefozopran hydrochloride was not in vitro cytotoxic against human CCD39Lu normal lung fibroblast cell line. Conclusions: Cefozopran hydrochloride in solid state is not resistant to radiation sterilization and this method cannot be used for sterilization of this compound.

Clinical metabolomics studies often have to cope with limited sample amounts, thus miniaturized liquid chromatography (LC) systems are a promising alternative. Their applicability has already been demonstrated in various fields, including a few metabolomics studies that mainly used reversed-phase chromatography. However, hydrophilic interaction chromatography (HILIC), which is widely used in metabolomics due to its particular suitability for the analysis of polar molecules, has rarely been tested for miniaturized LC-MS analysis of small molecules. In the present work, the suitability of a capillary HILIC (CapHILIC)-QTOF-MS system for non-targeted metabolomics was evaluated based on extracts of porcine formalin-fixed, paraffin-embedded (FFPE) tissue samples. The performance was assessed with respect to the number and retention time span of metabolic features as well as the analytical repeatability, the signal-to-noise ratio and the signal intensity of 16 annotated metabolites from different compound classes. The results were compared with a well established narrow-bore HILIC-QTOF-MS system. Both platforms have detected a similar number of features and performed excellent with respect to retention time stability (median RT span <0.05 min) and analytical repeatability (>75% of features with CV < 20%). The signal areas of all metabolites assessed were increased up to 18-fold by the use of CapHILIC, although the signal-to-noise ratio was only improved for 50% of the metabolites. An even better reproducibility (median CV = 5.2%) and up to 80-fold increase in signal intensity were observed after optimization of CapHILIC conditions for analysis of bile acid standard solutions. Even though the observed improvement for specific bile acids (e.g. taurocholic acid) in biological matrix needs to be evaluated, the platform comparison indicates, that the tested CapHILIC system is particularly suitable for analyses of a less broad metabolite spectrum, and specifically optimized 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 © 2023 Elsevier B.V. All rights reserved.)

A rapid, simple and generic analytical method has been developed for the analysis of veterinary drugs in pork by a quadrupole time-of-flight mass spectrometry (Q-TOF MS). This method allows for the simultaneous identification, screening and quantitation of 141 veterinary drug residues and metabolites from eighteen different classes. After extraction with acetonitrile/water and clean-up with C 18 cartridges, the samples were analyzed by HPLC-Q-TOF MS. Validation of this method consisted of confirmation of identity, selectivity, linearity, limit of detection (LOD), lowest limit of quantification (LLOQ), matrix effect, recovery, precision and applicability of the method. Identification of the analytes was based on accurate mass measurements. The characteristic fragments were obtained by collisional experiments for a more reliable identification. The procedure was then applied to real pork samples. Sulfamethazine was detected in one sample and its metabolites were successfully found in one single run. This approach proved to be satisfactory for routine 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 © 2020 Elsevier B.V. All rights reserved.)

This paper presents a rapid, sensitive and precise method for the determination of metaldehyde in human blood, using ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry and high-performance liquid chromatography coupled with triple quadrupole tandem mass spectrometry. Separation was performed with a Poroshell 120 EC-C18 column; 2.7 μm atrazine‑d5 (IS) and 200 mg NaCl were added to the blood sample. Proteins in human blood were precipitated using acetonitrile; the supernatant was then analyzed with the UHPLC-Q-TOF-MS or HPLC-QqQ-MS/MS system. The results of selectivity, linearity, accuracy, precision, limits of quantification, recovery, and matrix effects were sufficient to enable the measurement of metaldehyde in human blood samples. In addition, we proposed a fragmentation pathway involving ammonium adduct fragment ions for metaldehyde., (Copyright © 2018. Published by Elsevier B.V.)

Background: Given the excellent performance of modern mass spectrometers, their clinical application for the analysis of macromolecules is a growing field of interest. This principle is explored by hemoglobin analysis, which is a representative example by its molecular weight and clinical relevance in e.g. screening programs for thalassemia and hemoglobin variants. Considering its abundance and cellular containment, pre-analysis is significantly reduced allowing for essential rapid acquisitions., Methods: By parallel analysis of routine diagnostics for hemoglobin variants and thalassemia, we acquired samples of adults who were consented for hemoglobinopathy screening in our clinical laboratory. The pre-analytical process comprised of red cell lysis only; without further digestion and purification steps, the samples were directly injected in an electrospray ionization quadrupole time-of-flight setup and the intact proteins were analyzed by flow injection analysis. After optimization of process parameters, the deconvoluted mass spectra revealed the presence of α- and β-globulins. The reference ranges for the average mass of both globulins and their intensity ratio (α/β-ratio) were deduced from a disease-free subgroup and patients with a hemoglobinopathy were compared., Results: The α/β-ratio is a poor marker for thalassemia patients, yet deviant α/β-ratios are found for patients with a hemoglobin variant. Mass deviations down to 1Da can be resolved; even if the patient suffers from a heterozygotic disorder, the average mass is found outside the established reference interval., Conclusions: Although subjects with mild thalassemia were not detected, all patients with a hemoglobin variant were resolved by top-down mass spectrometry using the average globulin mass and the α/β-ratio as screening parameters., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Multiple reaction monitoring (MRM) is a universal approach for quantitative analysis because of its high specificity and sensitivity. Nevertheless, optimization of MRM parameters remains as a time and labor-intensive task particularly in multiplexed quantitative analysis of small molecules in complex mixtures. In this study, we have developed an approach named Stepped MS(All) Relied Transition (SMART) to predict the optimal MRM parameters of small molecules. SMART requires firstly a rapid and high-throughput analysis of samples using a Stepped MS(All) technique (sMS(All)) on a Q-TOF, which consists of serial MS(All) events acquired from low CE to gradually stepped-up CE values in a cycle. The optimal CE values can then be determined by comparing the extracted ion chromatograms for the ion pairs of interest among serial scans. The SMART-predicted parameters were found to agree well with the parameters optimized on a triple quadrupole from the same vendor using a mixture of standards. The parameters optimized on a triple quadrupole from a different vendor was also employed for comparison, and found to be linearly correlated with the SMART-predicted parameters, suggesting the potential applications of the SMART approach among different instrumental platforms. This approach was further validated by applying to simultaneous quantification of 31 herbal components in the plasma of rats treated with a herbal prescription. Because the sMS(All) acquisition can be accomplished in a single run for multiple components independent of standards, the SMART approach are expected to find its wide application in the multiplexed quantitative analysis of complex mixtures., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Most secreted proteins in eukaryotes are modified on the amino acid consensus sequence NxS/T by an N-glycan through the process of N-glycosylation. The N-glycans on glycoproteins are processed in the endoplasmic reticulum (ER) to different mannose-type N-glycans or, when the protein passes through the Golgi apparatus, to different complex glycan forms. Here we describe the capturing of N-glycopeptides from a trypsin digest of total protein extracts of Arabidopsis plants and release of these captured peptides following Peptide N-glycosidase (PNGase) treatment for analysis of N-glycan site-occupancy. The mixture of peptides released as a consequence of the PNGase treatment was analyzed by two dimensional nano-LC-MS. As the PNGase treatment of glycopeptides results in the deamidation of the asparagine (N) in the NxS/T site of the released peptide, this asparagine (N) to aspartic acid (D) conversion is used as a glycosylation 'signature'. The efficiency of PNGase F and PNGase A in peptide release is discussed. The identification of proteins with a single glycopeptide was limited by the used search algorithm but could be improved using a reference database including deamidated peptide sequences. Additional stringency settings were used for filtering results to minimize false discovery. This resulted in identification of 330 glycopeptides on 173 glycoproteins from Arabidopsis, of which 28 putative glycoproteins, that were previously not annotated as secreted protein in The Arabidopsis Information Resource database (TAIR). Furthermore, the identified glycosylation site occupancy helped to determine the correct topology for membrane proteins. A quantitative comparison of peptide signal was made between wild type and complex-glycan-less (cgl) mutant Arabidopsis from three replicate leaf samples using a label-free MS peak comparison. As an example, the identified membrane protein SKU5 (AT4G12420) showed differential glycopeptide intensity ratios between WT and cgl indicating heterogeneous glycan modification on single protein., Biological Significance: Proteins that enter the secretory pathway are mostly modified by N-glycans. The function of N-glycosylation has been well studied in mammals. However, in plants the function of N-glycosylation is still unclear, because glycosylation mutants in plants often do not have a clear phenotype. Here we analyzed which proteins are modified by N-glycans in plants by developing a glycopeptide enrichment method for plant proteins. Subsequently, label free comparative proteomics was employed using protein fractions from wild type and from a mutant which is blocked in modification of the N-glycan into complex glycans. The results provide new information on N-glycosylation sites on numerous secreted proteins. Results allow for specific mapping of multiple glycosylation site occupancy on proteins, which provides information on which glycosylation sites are protected or non-used from downstream processing and thus presumably are buried into the protein structure. Glycoproteomics can therefore contribute to protein structure analysis. Indeed, mapping the glycosylation sites on membrane proteins gives information on the topology of protein folds over the membrane. We thus were able to correct the topology prediction of three membrane proteins. Besides, these studies also identified limitations in the software that is used to identify single modified peptide per protein. This article is part of a Special Issue entitled: Translational Plant Proteomics., (© 2013 Elsevier B.V. All rights reserved.)