PDF
Full
Outline
Objective To establish a new non-targeted screening approach for multi-class veterinary drugs in fish based on metabolomics analysis. Methods High performance liquid chromatography-tandem mass spectrometer in full scan mode was adopted for the determination of fish to obtain the metabolomics data, which were uploaded onto Workflow4Metabolomics platform. The data underwent chromatographic peak treatment to obtain a data matrix containing 867 variables. The data matrix was further analyzed by principal component analysis, cluster analysis, orthogonal partial least squares discriminant analysis, pairwise t-test and fold change of concentration to screen eligible variables. These variables were confirmed as the characteristic ones of marker compounds to represent residual veterinary drugs via comparison within a compound database. Results The 88 in 102 kinds of veterinary drugs were screened by proposed metabolomics approach under the help of high performance liquid chromatography- tandem mass spectrometer (HPLC-MS/MS) positive mode, with the limits of detection ranging from 0.3 to 2.6 µg/kg, achieving a screening rate of 86%. Conclusion Metabolomics analytical strategy can effectively realize the non-targeted screening of veterinary drugs in fish, and provides a new idea for non-targeted screening of contaminants.
PDF
234
114
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
