Magnetic graphitized carbon black based on crystal growth method combined with high-resolution mass spectrometry for screening of 300 pesticide residues in Radix Codonopsis and Angelica sinensis

In this study, a high-throughput method for analyzing 300 pesticide residues in Radix Codonopsis and Angelica sinensis was established by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS) using iron tetroxide loaded graphitized carbon black magnetic nanomaterial (GCB/Fe₃O₄) as the purification material. It was optimized that saturated salt water and 1 % acetate acetonitrile were used as the extraction solution, then the supernatant was purified with 2 g anhydrous CaCl₂ and 300 mg GCB/Fe₃O₄. As a result, 300 pesticides in Radix Codonopsis and 260 in Angelica sinensis achieved satisfactory results. The limits of quantification of 91 % and 84 % of the pesticides in Radix Codonopsis and Angelica sinensis reached 10 μg/kg, respectively. The matrix-matched standard curves ranging from 10 to 200 μg/kg were established with correlation coefficients (R) above 0.99. The pesticides meeting SANTE/12682/2021 accounted for 91.3 %, 98.3 %, 100.0 % and 83.8 %, 97.3, 100.0 % of the total pesticides added in Radix Codonopsis and Angelica sinensis respectively, which were spiked at 10, 20,100 μg/kg. The technique was applied to screen 20 batches of Radix Codonopsis and Angelica sinensis. Five pesticides were detected, three of which were prohibited according to the Chinese Pharmacopoeia (2020 Edition). The experimental results showed that GCB/Fe₃O₄ coupled with anhydrous CaCl₂ exhibited good adsorption performance and could be used for sample pretreatment of various pesticide residues in Radix Codonopsis and Angelica sinensis. Compared with the reported methods for determining pesticides in traditional Chinese medicine (TCM), the proposed method has the advantage of less time-consuming in the clean-up procedure. Furthermore, as a case study on root TCM, this approach may serve as a reference for other TCM.

Sensitive detection and primary metabolism analysis of flualprazolam in blood

Flualprazolam, a new benzodiazepine psychoactive substance recently made available online, and outside the controlled substance list, is often used by criminals for rape and robbery. In this paper, flualprazolam was successfully identified by gas chromatography-mass spectrometry (GC-MS), liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) and nuclear magnetic resonance (NMR). Moreover, LC-Q-TOF-MS analysis method was proposed for the determination of flualprazolam in whole blood using the rabbit perfusion model. After metabolism analysis, a monohydroxylated metabolite 3-hydroxy-flualprazolam was found in the primary mass spectrum of metabolites. Meanwhile, the time effect curve of the flualprazolam in rabbit's blood was explored and the detection window was about 36 h. Moreover, the sensitivity of the established LC-Q-TOF-MS method was investigated with the limit of detection of 0.03 ng/mL. The successful analysis of an actual forensic case with this established method suggests that it might provide a reference method for drug detection or supervision in law enforcement agencies and identification institutions.

Screening of imidazoles in atmospheric aerosol particles using a hybrid targeted and untargeted method based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry

The method for identification and quantification of imidazoles in atmospheric aerosol particles with an aerodynamic diameter up to 2.5 μm (PM_2.5) is scarce, and the existing method focus on only a few imidazoles. With the goal of measuring more imidazoles, especially some previously unidentified ones, we developed a screening workflow based on data-dependent acquisition (DDA) auto MS/MS with a preferred targeted list containing 421 imidazoles using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS). To enable our method to effectively and accurately detect as many imidazoles as possible, we optimized and validated the method based on specificity, limit of detection (LOD), limit of quantification (LOQ), linearity, accuracy, precision and matrix effects using 20 imidazole standards with different functional groups. The method exhibited excellent performance with LOD and LOQ of 0.5-2 ng/mL and 1.5-6 ng/mL, respectively, and spiked recoveries ranging from 64.7 to 98.7% with standard deviations less than 16.0%, and with relatively shorter analytical time. The established method was then used to screen imidazoles in 37 ambient PM_2.5 samples. Ten targeted imidazoles were identified and quantified using imidazole standards, while five suspected imidazoles were identified without standards, and three imidazoles have not been reported before. Concentrations of the 10 targeted imidazoles ranged from 0.13 to 0.42 ng/m³. The established method enabled us to identify a wide range of imidazoles in ambient aerosol particles with and without using standards.

[Metabolomics study of urine with Benzene, Toluene and Xylene combined exposure based on ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry]

Objective: To study the effects of combined occupational exposure of benzene, toluene, and xylene on human metabolism at an overall level, and to screen biomarkers related to the combined occupational exposure of benzene, toluene, and xylene, and to explore the mechanism of early health effects preliminarily caused by combined occupational exposure of benzene, toluene, and xylene by identification of biomarkers and retrieval of metabolic pathways. Methods: A shoe-making company was selected as the research site. Twenty subjects for the exposed group and the control group were selected separately, and urine of the subjects was collected. The metabolic profiles of the samples were collected by liquid chromatography time-of-flight mass spectrometry, and professional metabolomics and multivariate statistical analysis software were used to establish PCA and OPLS-DA analysis models to screen potential biomarkers and identify biomarkers. Finally, based on the dynamic changes and trends of potential biomarkers between groups, the mechanism of body damage caused by benzene, toluene, and xylene was initially explored. Results: Urine metabolomics analysis showed that the metabolic profile of urine samples of the benzene, toluene, and xylene combined exposure group was different from that of the control group. 27 potential biomarkers that were closely related to the combined exposure of benzene, toluene, and xylene were screened and identified. These potential biomarkers were enriched in 16 metabolic pathways, of which 3 pathways were significantly enriched (P<0.05) , respectively, lysine metabolism, amino sugar metabolism, and nucleotide sugar metabolism. Conclusion: The metabonomics method can well reflect the changes in the metabolome of urine samples in the occupational population after the combined exposure of benzene, toluene, and xylene, which will help us better evaluate the risk of combined exposure of benzene, toluene, and xylene and prevent and control their health risks.