Establishment of local searching methods for orbitrap-based high throughput metabolomics analysis

Publication date: 15 August 2016
Source:Talanta, Volumes 156–157
Author(s): Haiping Tang, Xueying Wang, Lina Xu, Xiaorong Ran, Xiangjun Li, Ligong Chen, Xinbin Zhao, Haiteng Deng, Xiaohui Liu
Our method aims to establish local endogenous metabolite databases economically without purchasing chemical standards, giving strong bases for following orbitrap based high throughput untargeted metabolomics analysis. A new approach here is introduced to construct metabolite databases on the base of biological sample analysis and mathematic extrapolation. Building local metabolite databases traditionally requires expensive chemical standards, which is barely affordable for most research labs. As a result, most labs working on metabolomics analysis have to refer public libraries, which is time consuming and limited for high throughput analysis. Using this strategy, a high throughput orbitrap based metabolomics platform can be established at almost no cost within a couple of months. It enables to facilitate the application of high throughput metabolomics analysis to identify disease-related biomarkers or investigate biological functions using orbitrap.

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