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首页> 外文期刊>Chemometrics and Intelligent Laboratory Systems >Chemometrics-enhanced full scan mode of liquid chromatography-mass spectrometry for the simultaneous determination of six co-eluted sulfonylurea-type oral antidiabetic agents in complex samples
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Chemometrics-enhanced full scan mode of liquid chromatography-mass spectrometry for the simultaneous determination of six co-eluted sulfonylurea-type oral antidiabetic agents in complex samples

机译：化学计量学增强的液相色谱-质谱全扫描模式，用于同时测定复杂样品中的六种共洗脱的磺酰脲类口服降糖药

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In this work, a rapid chemometrics-enhanced liquid chromatography-single stage mass spectrometry (LC-MS) was developed for the simultaneous green determination of six co-eluted sulfonylurea-type oral antidiabetic agents (SOADs) in health teas and human plasma samples. Shortening the chromatographic separation time and reducing the cost per analysis were achieved via using full scan mode of LC-MS under simple isocratic elution condition followed by an environment-friendly "mathematical separation" strategy. The problem of the complete separation of target analytes from each other and/or from the uncalibrated interferences in complex matrices was resolved by alternating trilinear decomposition (ATLD) method as a posteriori. Satisfactory qualitative and quantitative results were obtained even in the existence of unknown interferences and the "second-order advantage" was fully exploited. The average spiked recoveries for all target analytes were between 81.6% and 110.1% with standard deviations less than 7.7%. It was demonstrated that the proposed strategy could be promisingly used for green resolution and determination of co-eluted multi-analytes of interest in complex samples while avoiding elaborate sample pretreatment steps and complicated experimental conditions as well as more sophisticated high-cost instrumentations. (C) 2016 Elsevier B.V. All rights reserved.
机译：在这项工作中，开发了一种快速化学计量学增强型液相色谱-单级质谱（LC-MS），用于同时绿色测定保健茶和人血浆样品中的六种共洗脱的磺酰脲类口服降糖药（SOAD）。通过在简单的等度洗脱条件下使用LC-MS的全扫描模式，然后采用环境友好的“数学分离”策略，可以缩短色谱分离时间并降低每次分析的成本。通过交替的三线性分解（ATLD）方法作为后验方法，可以将目标分析物彼此完全分离和/或与复杂基质中的未校准干扰物完全分离的问题。即使存在未知干扰，也可以获得令人满意的定性和定量结果，并且充分利用了“二阶优势”。所有目标分析物的平均加标回收率在81.6％和110.1％之间，标准偏差小于7.7％。结果表明，所提出的策略有望用于绿色拆分和复杂样品中共洗脱的感兴趣的多分析物的测定，同时避免了复杂的样品预处理步骤和复杂的实验条件以及更复杂的高成本仪器。 （C）2016 Elsevier B.V.保留所有权利。

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