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Decoding the signal response of steroids in electrospray ionization mode (ESI-MS)

机译:在电喷雾电离模式(ESI-MS)中解码类固醇的信号响应

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Electrospray ionization (ESI) is predominant among soft ionization techniques since it is considered as the method of choice for coupling liquid chromatography with mass spectrometry (LC-MS). Despite the progress which has been achieved in the ion formation theory, the research community keep their interest in the parameters affecting the increase in the responsiveness of the signal. This particular problem is becoming more complex when the analytes studied are compounds not having characteristic moieties, which are responsible for a molecule's ionization (carboxylic or amine groups). The present study attempts to decode the signal intensity by correlating it with a series of structural features and physicochemical properties corresponding to 30 steroids. These molecules share a common basic structure with only small differences in the substitution while they do not contain any basic or acidic group (pK(basic) < -2.65, pK(acidic) > 10.6). The correlation and evaluation of the significance of the parameters causing an increase or decrease in the signal response was achieved using multivariate analysis via the Partial Least Squares methodology (PLS). Moreover, the PLS models that were developed could be used as predictive tools of the signal intensity for unknown substances.
机译:电喷雾电离(ESI)在软电离技术中占主导地位,因为它被认为是液相色谱与质谱(LC-MS)耦合的选择方法。尽管在离子形成理论上已经取得了进展,但是研究界仍然对影响信号响应性增加的参数保持兴趣。当所研究的分析物是不具有负责分子电离(羧基或胺基)的特征部分的化合物时,此特定问题将变得更加复杂。本研究试图通过将信号强度与对应于30个类固醇的一系列结构特征和理化特性相关联来对信号强度进行解码。这些分子不包含任何碱性或酸性基团(pK(碱性)<-2.65,pK(酸性)> 10.6),具有相同的基本结构,但取代基差异很小。通过偏最小二乘方法(PLS)使用多变量分析,可以实现导致信号响应增加或减少的参数的重要性的相关性和评估。此外,所开发的PLS模型可以用作未知物质信号强度的预测工具。

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