Targeted and non-targeted unexpected food contaminants analysis by LC/HRMS: Feasibility study on rice

代谢组学 污染 化学 基质(化学分析) 色谱法 质谱法 食品科学 工作流程 生物技术 计算生物学 计算机科学 生物 生态学 数据库
作者
Tingting Wang,Lene Duedahl‐Olesen,Henrik Lauritz Frandsen
出处
期刊:Food Chemistry [Elsevier BV]
卷期号:338: 127957-127957 被引量:17
标识
DOI:10.1016/j.foodchem.2020.127957
摘要

A widely applicable analytical LC/HRMS method based on ion source optimization, data treatment optimization on rice matrix was developed. The effects of key parameters of ion source, and their interactions on ESI response were studied on HPLC-QTOF. Compared with center points, 40% and 20% increase of response factors in the positive and negative mode can be achieved by ion source optimization, respectively. Data processing strategies inspired from metabolomics and multi-targeted analysis were compared and developed using case and control rice samples. Highly automated workflow using XCMS achieved highest mass accuracy, highest detection rate of 96% for 5 μg/kg in a non-targeted way. A clear distinction between the control and contaminated samples by PCA and PLS-DA was also achieved by this workflow using XCMS, even for the concentration of 5 μg/kg.
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