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Perfluorooctanoic acid 1

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tea shoots 1

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Untargeted metabolomic analysis of pregnant women exposure to perfluorooctanoic acid at different degrees

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 3, doi: 10.1007/s11783-023-1628-x

Abstract:

● Metabolome can distinguish pregnant women exposure to PFOA at different degrees.

Keywords： Perfluorooctanoic acid Exposure Pregnant women Metabolomic GSH Microbiota metabolism

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METABOLIC AND TRANSCRIPTOME ANALYSIS REVEALS METABOLITE VARIATION AND FLAVONOID REGULATORY NETWORKS IN FRESH SHOOTS OF TEA (

Chen-Kai JIANG, De-Jiang NI, Ming-Zhe YAO, Jian-Qiang MA, Liang CHEN

Frontiers of Agricultural Science and Engineering Pages 215-230 doi: 10.15302/J-FASE-2021382

Abstract: Metabolites, especially secondary metabolites, are very important in the adaption of tea plants and the quality of tea products. Here, we focus on the seasonal variation in metabolites of fresh tea shoots and their regulatory mechanism at the transcriptional level. The metabolic profiles of fresh tea shoots of 10 tea accessions collected in spring, summer, and autumn were analyzed using ultra-performance liquid chromatography coupled with quadrupole-obitrap mass spectrometry. We focused on the metabolites and key genes in the phenylpropanoid/flavonoid pathway integrated with transcriptome analysis. Multivariate statistical analysis indicates that metabolites were distinctly different with seasonal alternation. Flavonoids, amino acids, organic acids and alkaloids were the predominant metabolites. Levels of most key genes and downstream compounds in the flavonoid pathway were lowest in spring but the catechin quality index was highest in spring. The regulatory pathway was explored by constructing a metabolite correlation network and a weighted gene co-expression network.

Keywords： harvest season metabolites tea shoots transcriptomics untargeted metabolomics

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Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards Review

Jin-Jun Hou,Jian-Qing Zhang,Chang-Liang Yao,Rudolf Bauer,Ikhlas A. Khan,Wan-Ying Wu,De-an Guo

Engineering 2019, Volume 5, Issue 1, Pages 83-97 doi: 10.1016/j.eng.2018.12.005

Abstract:

Traditional Chinese medicines (TCMs), a complex system of natural resources with many diverse components, are widely used as approved medicinal agents in China. Quality control of TCMs is a huge challenge for the government and for testing institutes and is associated with numerous scientific issues. Among these considerations include the following questions: How many components are in TCMs? How can the multiple components in TCMs be comprehensively delineated and subsequently characterized? What is the level and range of these (active) metabolites within these multiple-component TCMs, in order to recommend standards? and What are the qualities required for a marker constituent to be selected, and from a practical perspective, how can these components be assessed with low cost and in a short time? All of these factors require significant and deep thinking in order to understand the individualistic chemistry of TCM in order to develop enhanced TCM quality standards for improved and consistent patient care. In this review, the latest exploratory research in TCM chemistry analytical techniques and methods is summarized in order to begin to develop responses to these scientific issues. Advances in these methods have included multidimensional separation for liquid chromatography–high-resolution mass spectrometry (LC–HRMS), smart triggering data-dependent acquisition of LC–HRMS, target analysis with liquid chromatography–mass spectrometry (LC–MS), supercritical fluid chromatography, and data mining of large mass spectrometry (MS) datasets. In addition, two quality strategies have been introduced in order to save reference standards and the analysis time for a TCM quality standard, including the application of the single standard to determine multi-components (SSDMC) and monomethodheterotrait matrix methods. Finally, a series of future improvements for analytical methods for TCMs are proposed.

Keywords： Traditional Chinese medicine Liquid chromatography Mass spectrometry Data-dependent acquisition Chemometrics Untargeted