基质(化学分析)
内生
标准曲线
检出限
灵敏度(控制系统)
选择(遗传算法)
生物标志物
化学
色谱法
数学
计算机科学
生物化学
工程类
电子工程
人工智能
作者
Allena Ji,Guangxin Xu,Lin Tao,Hongqin Jenny Jiao,Rachel Palmer
出处
期刊:Bioanalysis
[Future Science Ltd]
日期:2022-06-01
卷期号:14 (11): 807-816
被引量:4
标识
DOI:10.4155/bio-2022-0066
摘要
Selection of the appropriate matrix for standard curve is critical for an accurate and sensitive biomarker method. Slope of a standard curve is the key factor for parallelism assessment between tested matrix and authentic matrix for LC-MS/MS assays. Here the authors have established slope criteria using a generic equation and endogenous level criteria for achieving assay sensitivity. The slope difference criterion is from -13.0 to +17.6% for LC-MS assays with ± 15% bias criteria. When the ratio of endogenous concentration in the tested matrix to the lower limit of quantitation is <4.0, the lower limit of quantitation is achievable. If these criteria are met, the tested matrix can be used for assays. The utility of the two criteria has been illustrated with case studies.
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