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Software Assisted Data Mining Strategies to Identify Metabolites of New Psychoactive Substances with LC-QTOF MS
发布时间：
2017-10-24 10:56
来源：
布鲁克（北京）科技有限公司-质谱仪器
| 领域： | 多组学/蛋白质组/代谢组/脂质组,其他 | ||
| 样品： | -- | 项目： | -- |
| 参考： | -- | ||
| 方案文件名 | 下载 |
|---|---|
Software Assisted Data Mining Strategies to Identify Metabolites of New Psychoactive Substances with LC-QTOF MS |
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• Mass-MetaSite™ software and the described workflow proved to be a suitable, less laborious and time consuming procedure compared to manual data evaluation.
• The described approach can be helpful for updating screening methods with metabolite information.
• Having metabolites included in screening methods is necessary when dealing with analytes that are extensively metabolized such as synthetic cannabinoids.
• Identification of metabolites along with parent compounds can serve as a plausibility check and may help in estimating the time of the last drug uptake.
