1. Trace analysis in complex mixtures using a high-component filtering strategy with liquid chromatography–mass spectrometry
- Author
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Zhang, Hui, Wang, Shao-Qing, Liu, Ying, Luo, Li-Ping, Liu, Peng, Qi, Lian-Wen, and Li, Ping
- Subjects
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LIQUID chromatography-mass spectrometry , *CHINESE medicine , *TIME-of-flight mass spectrometry , *MIXTURES , *TRACE analysis , *QUANTITATIVE research - Abstract
Abstract: Trace constituents are widely present in complex mixtures, and trace analysis is challenging because of the unpredictable matrix. In this work, a high-component filtering strategy was developed for improved analysis of trace constituents in complex sample by liquid chromatography–mass spectrometry (LC–MS). Using a specifically designed chromatographic apparatus, the high-abundant fractions were filtered prior to LC–MS analysis. The samples complexity was reduced and the sample-loading amount for the rest low-level fractions can be considerably increased. The application of this approach was illustrated with an analytically challenging sample, a traditional Chinese herbal medicine named Compound Danshen Sample. We observed that the loss rate for 12 analytes during the filtering procedure ranged from 6.54 to 26.11%, but showed a stable repeatability with RSD<3.79%. The proposed filtering method with quadrupole time-of-flight mass spectrometritry (Q-TOF/MS) enhanced the detection capacity, offering a comprehensive characterization of 133 compounds in Compound Danshen Samples. The quantification sensitivity was also improved in trace analysis, allowing six low compounds that cannot be quantified by the traditional methods to be tested by the filtering method. It can be predicted that the qualitative and quantitative trace analysis will be greatly improved when the loading samples is increased resulting from the filtration of high-level targets. The proposed strategy is promising to monitor trace constituents in diverse complex mixtures in the analytical field of pharmaceutics, metabonomics and environments. [Copyright &y& Elsevier]
- Published
- 2012
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