Development of Acid Hydrolysis-Based UPLC-MS/MS Method for Determination of Alternaria Toxins and Its Application in the Occurrence Assessment in Solanaceous Vegetables and Their Products
文献类型: 外文期刊
第一作者: Tang, Hongxia
作者: Tang, Hongxia;Han, Wei;Fei, Shaoxiang;Li, Yubo;Huang, Jiaqing;Dong, Maofeng;Wang, Weimin;Dong, Maofeng;Wang, Lei;Zhang, Ying
作者机构:
关键词: Alternaria toxins; modified analytical method; solanaceous vegetables; solanaceous vegetable products; UPLC-MS; MS
期刊名称:TOXINS ( 影响因子:4.2; 五年影响因子:4.7 )
ISSN:
年卷期: 2023 年 15 卷 3 期
页码:
收录情况: SCI
摘要: In this work, we proposed an acid hydrolysis-based analytical method for the detection of Alternaria toxins (ATs) in solanaceous vegetables and their products with solid-phase extraction (SPE) and ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). This study was the first to reveal that some compounds in the eggplant matrix bind to altenusin (ALS). Validation under optimal sample preparation conditions showed that the method met the EU criteria, exhibiting good linearity (R-2 > 0.99), matrix effects (-66.6--20.5%), satisfying recovery (72.0-107.4%), acceptable precision (1.5-15.5%), and satisfactory sensitivity (0.05-2 mu g/kg for limit of detection, 2-5 mu g/kg for limit of quantification). Out of 393 marketed samples, only 47 samples were detected, ranging from 0.54-806 mu g/kg. Though the occurrence ratio (2.72%) in solanaceous vegetables could be negligible, the pollution status in solanaceous vegetable products was much more serious, and the incidences were 41.1%. In the 47 contaminated samples, the incidences were 4.26% for alternariol monomethyl ether (AME), 6.38% for alternariol (AOH) and altenuene (ALT), 42.6% for tentoxin (TEN), and 55.3% for tenuazonic acid (TeA).
分类号:
- 相关文献
作者其他论文 更多>>
-
Decoding the fish genome opens a new era in important trait research and molecular breeding in China
作者:Zhou, Qian;Wang, Jialin;Chen, Zhangfan;Wang, Na;Li, Ming;Wang, Lei;Si, Yufeng;Lu, Sheng;Cui, Zhongkai;Liu, Xuhui;Chen, Songlin;Zhou, Qian;Wang, Jialin;Chen, Zhangfan;Wang, Na;Li, Ming;Wang, Lei;Si, Yufeng;Lu, Sheng;Cui, Zhongkai;Liu, Xuhui;Chen, Songlin;Li, Jiongtang
关键词:fish genomics; economic traits; genomic selection; genome editing; genomic breeding
-
Insights into the effects of anilofos on direct-seeded rice production system through untargeted metabolomics
作者:Wang, Weitao;Wang, Weitao;Long, Jiahuan;Huang, Wenyuan;Zhang, Ying;Duan, Tingting;Wang, Huaixu
关键词:Direct-seeded rice; Anilofos; Untargeted metabolomics; KEGG pathway analysis
-
PTEN regulated by gga-miR-20a-5p is involved in chicken macrophages inflammatory response to APEC infection via autophagy
作者:Sun, Hong-yan;Ma, Yu-yi;Cao, Xin-qi;Li, Huan;Han, Wei;Qu, Lu-Jiang;Lamont, Susan J.
关键词:Avian pathogenic E. coli; PTEN; inflammatory response; autophagy; gga-miR-20a-5p
-
Annual environmental changes in large yellow croaker aquaculture in Dachen Island, China
作者:Qiao, Guangde;Wang, Yabing;Liu, Yongli;Min, Minghua;Wang, Lei;Wang, Yongjin;Wang, Lumin;Peng, Shiming;Chen, Heng
关键词:Deep-sea mariculture; Large yellow croaker; Large-scale enclosure aquaculture; Water quality evaluation; Sediment quality evaluation
-
OsPPG encodes a pseudouridine-5 0-phosphate glycosidase and regulates rice spikelet development
作者:Chen, Rui;Yang, Qinqin;Li, Yupei;Zhang, Shubiao;Chen, Rui;Tian, Dagang;Lin, Yarong;Li, Yupei;Liu, Huaqing;Yang, Shaohua;Chen, Jingyang;Zhou, Shufen;Wang, Feng;Huang, Jiaqing
关键词:OsPPG; Reproductive regulation; Spikelet development; Rice
-
Integrated Transcriptomic and Metabolomic Analysis Revealed Abscisic Acid-Induced Regulation of Monoterpene Biosynthesis in Grape Berries
作者:Li, Xiangyi;Yan, Yixuan;Wang, Lei;Li, Guanhan;Xu, Lurong;Wang, Shiping;Wu, Yusen;Zhang, Ying
关键词:abscisic acid (ABA); monoterpenes; transcriptome; HS-SPME/GC-MS; Ruiduhongyu; grape berries
-
Research on species identification of wild grape leaves based on deep learning
作者:Pan, Bowen;Liu, Chonghuai;Fan, Xiucai;Zhang, Ying;Sun, Lei;Jiang, Jianfu;Pan, Bowen;Ju, Yanlun;Fang, Yulin;Su, Baofeng;Jiang, Jianfu
关键词:Wild grapes; Deep learning; Species identification; Grad-CAM