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Bimetallic nanoparticles have received extensive attention due to their unique physical and chemical properties, including enhanced optical properties, chemical stability, and better catalytic activity. In this article, we have successfully achieved the controllable preparation of Ag@Au nanoparticles via a seed-mediated growth method. By regulating the amount of seeds—silver nanospheres—we realized that Ag@Au nanoparticles gradually changed from spherical to a sea-urchin-like structure. The structure and composition of the prepared nanoparticles were characterized via scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy-dispersive X-ray spectroscopy (EDS), and high-angle circular dark field scanning transmission electron microscopy (HAADF-STEM). In addition, we use the prepared Ag@Au nanoparticles as a substrate material for highly sensitive surface-enhanced Raman spectroscopy (SERS). Using 4-aminothiophenol (4-ATP) as the test molecule, we explored the SERS enhancement effects of Ag@Au nanoparticles with different structures. Furthermore, we used Ag@Au nanoparticles for SERS to detect the drug fentanyl, and realized the label-free detection of fentanyl, with the lowest detection concentration reaching 10−7 M. This research not only provides a method for preparing bimetallic Ag@Au nanoparticles with different structures, but also provides a reference for the application of Ag@Au nanoparticles in the field of detection technology.

In this work, defective Zr-based metal-organic framework was successfully synthesized and evaluated as a dispersive micro-solid-phase extraction sorbent for efficient preconcentration and determination of fungicides in complex water samples. The defective Zr-based metal-organic framework crystal with increased adsorption capacity was successfully synthesized by employing formic acid as the modulator. The extraction conditions, including the pH, extraction time, desorption solvent and desorption time, were comprehensively investigated. Under optimum conditions, it was found that dispersive micro-solid-phase extraction method, coupled with LC/MS, exhibited a good linear relationship with correlation coefficients greater than 0.9980. The relative standard deviations of inter-day and intra-day precisions ranged from 2.6 % to 9.2 % and the limits of detection ranged from 0.004 to 0.036 μg·L-1 . These merits, combined with their satisfactory recoveries (> 80 %), suggested the great potential of defective Zr-based metal-organic framework as a new adsorbent for efficient extraction of trace fungicides. This method exhibits good application potential for the pretreatment of fungicides from environmental water samples. This article is protected by copyright. All rights reserved.

In this study, an alternative method for synthesizing magnetic cobalt adeninate metal-organic frameworks was developed, and the synthesized materials were examined for their potential application for separating and enriching benzodiazepines from complex samples. Benzodiazepines, widely used as hypnotics, muscle relaxants, sedatives, and anxiolytics, are a class of drugs that require accurate detection and monitoring. Results showed that Fe3 O4 nanoparticles could be well anchored onto the external surface of cobalt adeninate metal-organic frameworks by using amino-silane as a linkage. Their adsorption of benzodiazepines was mainly promoted by intermolecular hydrogen binding, π-π interactions and electrostatic attraction. Their potential application was evaluated by extraction of benzodiazepines in urine and wastewater samples prior to liquid chromatography with mass spectrometry. Under optimum conditions, the calibration curves were linear with a correlation coefficient of ≥0.9928 in the concentration range of 10-5000 ng/L for lorazepam and 5-5000 ng/L for estazolam, chlordiazepoxide, alprazolam, midazolam and triazolam. The limits of detection were in the range of 0.71-2.49 ng/L. The percent of extraction recoveries were 80.2-94.5% for urine and 84.1-94.4% for wastewater, respectively. Results suggested that magnetic cobalt adeninate metal-organic frameworks could potentially be a promising material for enriching benzodiazepines from urine and wastewater with high accuracy and precision.

A graphene monolithic column was fabricated in a capillary using π-electron-rich poly(N-vinylcarbazole-divinylbenzene) as the supporter through in situ one-step polymerization for the enrichment of...

A sensitive microextraction method based on a new poly(methacrylic acid-ethylene glycol dimethacrylate-N-vinylcarbazole) monolithic capillary column, coupled with gas chromatography and electron capture detection, was established for the determination of three benzodiazepines (estazolam, alprazolam, and triazolam) in urine and beer samples. Owing to the abundant π electrons and polar surface of N-vinylcarbazole, N-vinylcarbazole-incorporated monolith showed a higher extraction performance than neat poly(methacrylic acid-ethylene glycol dimethacrylate) because of the enhanced π-π stacking interactions derived from the π-electron-rich benzene groups from N-vinylcarbazole. The monolith exhibited a homogeneous and continuous structure, good permeability, and a long lifetime. Factors affecting the extraction such as solution pH, salt concentration, sample volume, desorption solvent, and desorption volume were investigated. Under the optimized conditions, limits of detection of 0.011-0.026 ng/mL were obtained. The one-column and column-to-column precision values were ≤7.2 and ≤9.8%, respectively. The real samples were first diluted with deionized water and then treated by the monolith microextraction before gas chromatography analysis. The recoveries were 81.4-93.3 and 83.3-94.7% for the spiked samples, with relative standard deviations of 4.1-8.1 and 3.8-8.5%, respectively. This method provides an accurate, simple, and sensitive detection platform for drug analysis.

A zirconium terephthalate metal-organic framework-incorporated poly(N-vinylcarbazole-co-divinylbenzene) monolith was fabricated in a capillary by a thermal polymerization method. The optimized monolith had a homogeneous structure, good permeability, and stability. The monolith could be used for the effective enrichment of fungicides through π-π interactions, electrostatic forces, and hydrogen bonds. The potential factors that affect the extraction efficiency, including ionic strength, solution pH, sample volume, and eluent volume, were investigated in detail. The monolith-based in-tube solid-phase microextraction coupled with ultra-high-performance liquid chromatography and high-resolution Orbitrap mass spectrometry was performed for the analysis of five fungicides (pyrimethanil, tebuconazole, hexaconazole, diniconazole, and flutriafol) in environmental samples. Under the optimized conditions, the linear ranges were 0.005-5 ng/mL for pyrimethanil, 0.01-5 ng/mL for flutriafol, and 0.05-5 ng/mL for other fungicides, respectively, with coefficients of determination ≥0.9911. The limits of detection were 1.34-14.8 ng/L. The columns showed good repeatability (relative standard deviations ≤9.3%, n = 5) and desirable column-to-column reproducibility (relative standard deviations 5.3-9.4%, n = 5). The proposed method was successfully applied for the simultaneous detection of five fungicides in water and soil samples, with recoveries of 90.4-97.5 and 84.0-95.3%, respectively.

In this study, we report a facile method to prepare magnetic zeolitic imidazolate framework-7@graphene oxide (mag-ZIF-7@GO) composites with the assistance of polydopamine. Moreover, their potential for extracting fungicides from environmental water and soil samples is evaluated. Combining ZIF units and GO layers synergistically enhances the preconcentration of fungicides. A sensitive magnetic solid-phase extraction method based on mag-ZIF-7@GO coupled to LC-MS is developed to determine seven fungicides (pyrimethanil, triadimenol, flutriafol, tebuconazole, hexaconazole, diniconazole and bitertanol) as a function of optimised salt concentration, pH, extraction time, and desorption time. Under optimal conditions, the method exhibits good linearity, repeatability, and reproducibility. The limits of detection and limits of quantification for the seven fungicides are 0.58–2.38 ng/L and 1.95–7.94 ng/L, respectively. Furthermore, the proposed method is applied to determine trace fungicides in environmental water and soil samples, with recoveries of 81.8–96.7%, 87.2–96.3%, and 82.4–93.4% for pond water, river water, and soil, respectively. Therefore, this method has great potential for trace analysis of pollutants in complex environmental matrices.

A poly(N-vinylcarbazole-co-divinylbenzene) (NVC/DVB) monolithic column was successfully prepared in a silanized capillary for microextraction of six benzodiazepines (BZPs) in complex samples. The polymerization was optimized primarily by changing the ratio of porogen content. The optimized polymer monolith had a homogeneous and continuous column bed, good permeability and mechanical stability. Poly(NVC/DVB) had good affinity to BZPs because of its through-pore structure and strong π-π stacking interactions derived from the rich benzene functional groups in the polymer. Potential factors that affect the extraction efficiency were studied in detail. In the optimized method, 3 mL of sample (pH 2) was extracted with the polymer monolithic column and eluted with 80 μL of methanol, and the eluent was analysed with ultra-high-performance liquid chromatography and quadrupole high resolution Orbitrap mass spectrometry (UHPLC/Q-Orbitrap MS). Under these conditions, the developed method gave the linear range of 0.005–0.5 ng/mL for most of the six BZPs, whereas 0.05–0.5 ng/mL for nitrazepam, 0.01–0.5 ng/mL for lorazepam, respectively, with coefficients of determination (R2) ≥ 0.9991. The detection limits (LODs) were 1.08–6.04 ng/L, and the quantification limits (LOQs) were 3.60–20.1 ng/L. The method repeatability was investigated in terms of intra- and inter-day precision, which were indicated by relative standard deviations (RSDs) of ≤8.3% and ≤9.9%, respectively. Finally, the proposed method was successfully applied to detect BZPs in beer and human urine samples. The percentages of extraction recovery were 80.4–94.2% for beer and 79.6–95.2% for urine.

Zeolitic imidazolate frameworks (ZIFs) consist of metal nodes connected to imidazolate linkers, having both the properties of metal-organic frameworks (MOFs) and inorganic zeolites, such as controllable pore sizes, high porosity and surface areas, as well as exceptional thermal and chemical stability, thereby making them a class of attractive materials for diverse analytical applications. In this study, we reported a facile magnetization process of ZIF-7 (zinc benzimidazolate) for simultaneous magnetic extraction of polycyclic aromatic hydrocarbons (PAHs) by simply mixing ZIF-7 and polydopamine (PDA)-coated Fe3O4 nanoparticles (PDA@Fe3O4) in solutions. Functional groups (-OH and -NH2), provided by PDA as a highly efficient molecular linker, could attract and anchor ZIF-7 through noncovalent adsorption and covalent cross-link interactions, thereby promoting the complete magnetization of ZIFs and enhancing their stability and reusability. The bridging ligand benzimidazolate, could be bonded with PAHs because of its high surface area, large pores, accessible coordinative unsaturated sites (π-complexation), and π-π stacking action. This ZIF-based magnetic solid-phase extraction (SPE), coupled with gas chromatography/tandem mass spectrometry (GC/MS), was further evaluated for analysis of PAHs from rainwater and air samples of particulate matter less than 2.5μm in diameter (PM2.5). The main effective parameters, including ionic strength, solution pH, extraction time, desorption solvent and desorption time, were investigated, respectively. Under optimized conditions, the developed method based on Fe3O4@PDA/ZIF-7 gave detection limits of 0.71-5.79ng/L, and quantification limits of 2.50-19.2ng/L for PAHs, respectively. The relative standard deviations for intra-day and inter-day analyses were in the range of 3.1-9.1% and 6.1-12.7%, respectively. The PAHs founded in PM2.5 were in the range of 0.40-6.79ng/m(3). Good recoveries (>82%) with low relative standard deviations (≤9.2%) were achieved. This method was demonstrated to be an accurate, convenient and sensitive pretreatment procedure for trace analysis of environmental water and air samples.