Volatile/semi-volatile metabolites profiling in living vegetables via a novel covalent triazine framework based solid-phase microextraction fiber coupled with GC-QTOF-MS.

Volatile/semi-volatile metabolites profiling in living vegetables via a novel covalent triazine framework based solid-phase microextraction fiber coupled with GC-QTOF-MS.
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DOI:
10.1016/j.foodchem.2023.137064
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发表时间:
2023-07
期刊:
影响因子:
8.8
通讯作者:
Shuqin Liu;Yiquan Huang;Yingming Duan;Zhangmin Xiang;Jian Liu;Xiaoping Zhou;Zhiyong Chen
Shuqin Liu;Yiquan Huang;Yingming Duan;Zhangmin Xiang;Jian Liu;Xiaoping Zhou;Zhiyong Chen
中科院分区:
农林科学1区
文献类型:
--
作者:
Shuqin Liu;Yiquan Huang;Yingming Duan;Zhangmin Xiang;Jian Liu;Xiaoping Zhou;Zhiyong Chen

文献摘要

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以多孔共价三嗪骨架(CTF)材料为基础,研制了具有高覆盖捕获植物内源物质能力的Anin体内固相微萃取纤维(SPME)。采用CTF纤维联用气相色谱四极杆飞行时间质谱(GC-QTOF-MS)分析技术,对大白菜(Brassica campestrisL)非靶向内源代谢产物进行监测。ssp。中国的牧野(共产党和李明博))。共鉴定出100种内源物质,主要包括醛类、酮类、酸类、醇类、酚类、烷烃类、烯烃类、酯类、异硫氰酸酯类、腈类以及吲哚及其衍生物。利用他们的体内代谢产物分析方法,白菜植株在不同生育阶段的代谢表现出显著的统计学差异。此外,还观察到了氟虫腈农药污染下大白菜植株代谢失调的情况。综上所述,该方法为捕获活蔬菜代谢信息和农业生产中农药使用风险评估提供了一种可行的方法。
Anin vivosolid-phase microextraction (SPME) fiber with high-coverage capture capacity of plant endogenous substances based on the porous covalent triazine framework (CTF) material was developed. The CTF fiber coupled with gas chromatographic quadrupole time-of-flight mass spectrometer (GC-QTOF-MS) analysis was used for monitoring untargeted endogenous metabolites in living Chinese cabbage plants (Brassica campestrisL. ssp.chinensisMakino (var.communisTsen et Lee)). A total of 100 endogenous substances were identified, mainly including aldehydes, ketones, acids, alcohols, phenols, alkanes, alkenes, esters, isorhodanates, nitriles, as well as indole and its derivatives. Using thein vivometabolites analysis method, Chinese cabbage plants at different growing stages demonstrated significantly statistical differences in plant metabolism. In addition, metabolic dysregulation of Chinese cabbage plants under fipronil pesticide contamination was observed. To summarize, the proposed approach provides a feasible method to capture metabolic information in living vegetables and for risk assessment of pesticide use during agricultural production.