首页> 外文期刊>BioMed research international >Estimation of Ion Competition via Correlated Responsivity Offset in Linear Ion Trap Mass Spectrometry Analysis: Theory and Practical Use in the Analysis of Cyanobacterial Hepatotoxin Microcystin-LR in Extracts of Food Additives
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Estimation of Ion Competition via Correlated Responsivity Offset in Linear Ion Trap Mass Spectrometry Analysis: Theory and Practical Use in the Analysis of Cyanobacterial Hepatotoxin Microcystin-LR in Extracts of Food Additives

机译:通过线性离子阱质谱分析中的相关响应偏移估计离子竞争的估计:理论与实际应用在食品添加剂中萃取物中的肝毒素毒素微囊藻 - LR分析

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摘要

Responsivity is a conversion qualification of a measurement device given by the functional dependence between the input and output quantities. A concentration-response-dependent calibration curve represents the most simple experiment for the measurement of responsivity in mass spectrometry. The cyanobacterial hepatotoxin microcystin-LR content in complex biological matrices of food additives was chosen as a model example of a typical problem. The calibration curves for pure microcystin and its mixtures with extracts of green alga and fish meat were reconstructed from the series of measurement. A novel approach for the quantitative estimation of ion competition in ESI is proposed in this paper. We define the correlated responsivity offset in the intensity values using the approximation of minimal correlation given by the matrix to the target mass values of the analyte. The estimation of the matrix influence enables the approximation of the position of a priori unknown responsivity and was easily evaluated using a simple algorithm. The method itself is directly derived from the basic attributes of the theory of measurements. There is sufficient agreement between the theoretical and experimental values. However, some theoretical issues are discussed to avoid misinterpretations and excessive expectations.
机译:响应性是由输入和输出量之间的功能依赖性给出的测量设备的转换验证。浓度响应依赖性校准曲线表示质谱法测量响应性最简单的实验。选择络合物添加剂的棕榈细菌肝毒素微囊糖素-LR含量作为典型问题的模型实例。从一系列测量重建纯微囊藻蛋白的校准曲线及其与绿藻和鱼肉提取物的混合物。本文提出了一种用于定量估计ESI中离子竞争的新方法。我们使用矩阵给出的矩阵给出的最小相关性对分析物的目标质量值来定义强度值中的相关响应度偏移。矩阵影响的估计能够使用简单的算法容易地评估先验未知响应性的位置的近似值。该方法本身直接来自测量理论的基本属性。理论和实验值之间存在足够的一致性。然而,讨论了一些理论问题以避免误解和过度期望。

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