期刊
ANALYTICA CHIMICA ACTA
卷 907, 期 -, 页码 60-68出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2015.11.045
关键词
Stepped MSAll; Stepped MSAll Relied Transition (SMART); Multiple reaction monitoring (MRM); Q-TOF; Quantitative analysis; Complex mixture
资金
- National Natural Science Foundation of China [81530098, 81325025, 81430091, 81403005]
- Natural Science Foundation of Jiangsu province, China [BK2012026, BK20140667]
- National Science and Technology Major Project Key New Drug Creation and Manufacturing Program [2013ZX09402203]
Multiple reaction monitoring (MRM) is a universal approach for quantitative analysis because of its high specificity and sensitivity. Nevertheless, optimization of MRM parameters remains as a time and labor-intensive task particularly in multiplexed quantitative analysis of small molecules in complex mixtures. In this study, we have developed an approach named Stepped MSAll Relied Transition (SMART) to predict the optimal MRM parameters of small molecules. SMART requires firstly a rapid and high-throughput analysis of samples using a Stepped MSAll technique (sMS(All)) on a Q-TOF, which consists of serial MSAll events acquired from low CE to gradually stepped-up CE values in a cycle. The optimal CE values can then be determined by comparing the extracted ion chromatograms for the ion pairs of interest among serial scans. The SMART-predicted parameters were found to agree well with the parameters optimized on a triple quadrupole from the same vendor using a mixture of standards. The parameters optimized on a triple quadrupole from a different vendor was also employed for comparison, and found to be linearly correlated with the SMART-predicted parameters, suggesting the potential applications of the SMART approach among different instrumental platforms. This approach was further validated by applying to simultaneous quantification of 31 herbal components in the plasma of rats treated with a herbal prescription. Because the sMS(All) acquisition can be accomplished in a single run for multiple components independent of standards, the SMART approach are expected to find its wide application in the multiplexed quantitative analysis of complex mixtures. (C) 2015 Elsevier B.V. All rights reserved.
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