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Assessment of the Quality of Doping Substances Identification in Urine by GC/MS/MS

机译:评估GC / MS / MS尿液中潜水物质鉴定的质量

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摘要

Direct control of doping in sports is based on the analysis of active substances and/or their metabolites in urine samples of the athletes by GC/MSn or LC/MSn. The World Anti-Doping Agency, WADA, defined criteria for the agreement between retention times, RT, or relative retention times, RRT, and abundance ratios, AR, of characteristic ions of the mass spectrum of the analyte in a calibrator (positive control) and the sample. Strict criteria for confirming analyte presence were defined to reduce false positive results rates, FP. However, these criteria can lead to high rates of false negative results, FN. This work presents a methodology to define statistically sound criteria for the agreement between RRT and AR that allow keeping the FN under control. This work also determined the FP of identifications. The statistical criteria were set from Monte Carlo simulations of correlated RT and ion abundances. The simulation of AR and signal noise was also used to estimate the FN and FP of identifications based on the criteria defined by WADA. The developed tools were successfully applied to the control of nine doping substances in urine samples by GC/MS/MS. The estimated FN were tested from independent experimental tests proving estimates are accurate. The criteria defined by WADA are associated with extremely low FP but, in some cases, associated with FN much larger than 50%. The statistically sound identification criteria allow a more convenient balance between FN and FP. The user-friendly spreadsheet used in this work is made available as Supporting Information.
机译:直接控制体育中的兴奋剂是基于通过GC / MSN或LC / MSN的运动员尿液样本中活性物质和/或其代谢物的分析。世界反兴奋剂机构,WADA,保留时间,RT或相对保留时间,RRT和丰度比,AR的特征在校准剂中的质谱(阳性对照)的特征离子之间定义标准和样本。确认分析物存在的严格标准被定义为减少假阳性结果FP。然而,这些标准可能导致假阴性结果的高率,Fn。这项工作提出了一种方法来定义统计上的声音标准,以便在RRT和AR之间允许保持FN的控制。这项工作也确定了标识的FP。从相关RT和离子丰富的蒙特卡罗模拟中设定了统计标准。 AR和信号噪声的模拟还用于基于WAAS定义的标准来估算识别的FN和FP。通过GC / MS / MS成功地将开发的工具应用于尿液样本中的九种掺杂物质。从独立的实验试验中测试了估计的FN,证明估计是准确的。 WAAS定义的标准与极低的FP相关,但在某些情况下,与FN相关的情况大于50%。统计声音识别标准允许FN和FP之间更方便的平衡。本工作中使用的用户友好的电子表格可用作支持信息。

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