High-throughput screening of toxic substances by extractive electrospray ionization mass spectrometry and their identification via databank construction
| Autor: | Faliang Li, Shuanglong Wang, YongZi Liu, Huanwen Chen, Huian Zhao |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Spectrometry
Mass Electrospray Ionization Veterinary Drugs Databases Factual High-throughput screening Organic phosphorus Single sample 02 engineering and technology Mass spectrometry 01 natural sciences Biochemistry Hazardous Substances Analytical Chemistry Forensic Toxicology Limit of Detection Nist database Humans Chromatography Chemistry 010401 analytical chemistry Extractive electrospray ionization Reproducibility of Results Pesticide 021001 nanoscience & nanotechnology Gastrointestinal Contents High-Throughput Screening Assays 0104 chemical sciences Liver 0210 nano-technology |
| Zdroj: | Analytical and Bioanalytical Chemistry. 411:4049-4054 |
| ISSN: | 1618-2650 1618-2642 |
| Popis: | More than 200 toxic substances (including narcotic drugs, psychotropic drugs, organic phosphorus compounds, carbamates, pyrethroids and other pesticides, veterinary drugs, rodenticides, natural toxins, and other drugs) were identified and quantified using an ion-trap mass spectrometer. The advantages of this technique-its selectivity, accuracy, precision, utilization of only small amounts of the sample, and short analysis time for a single sample (less than 30s)-render it a rapid and accurate methodology for toxin screening. Subsequently, an extractive electrospray ionization (EESI) mass spectrometry database was established by combining the Xcalibur data processing system with NIST database software. This allowed unknown toxicants in urine and blood samples, stomach contents, and liver samples, as provided by the Jiangxi Provincial Public Security Department, to be analyzed and identified. This EESI methodology and databank has the potential for widespread application to the large-scale analysis of practical samples. Graphical abstract ᅟ. |
| Databáze: | OpenAIRE |
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