Araujo Pedro
National Institute of Nutrition and Seafood Research, PO Box 2029, Nordnes, N-5817 Bergen, Norway.
J Chromatogr B Analyt Technol Biomed Life Sci. 2009 Aug 1;877(23):2224-34. doi: 10.1016/j.jchromb.2008.09.030. Epub 2008 Oct 2.
Method validation may be regarded as one of the most well-known areas in analytical chemistry as is reflected in the substantial number of articles submitted and published in peer review journals every year. However, some of the relevant parameters recommended by regulatory bodies are often used interchangeably and incorrectly or are miscalculated, due to few references to evaluate some of the terms as well as wrong application of the mathematical and statistical approaches used in their estimation. These mistakes have led to misinterpretation and ambiguity in the terminology and in some instances to wrong scientific conclusions. In this article, the definitions of various relevant performance indicators such as selectivity, specificity, accuracy, precision, linearity, range, limit of detection, limit of quantitation, ruggedness, and robustness are critically discussed with a view to prevent their erroneous usage and ensure scientific correctness and consistency among publications.
方法验证可被视为分析化学中最广为人知的领域之一,这一点从每年提交并发表在同行评审期刊上的大量文章中可见一斑。然而,监管机构推荐的一些相关参数常常被错误地互换使用,或者计算错误,这是因为评估某些术语的参考文献较少,以及在估计这些参数时对数学和统计方法的错误应用。这些错误导致了术语解释的误解和歧义,在某些情况下还导致了错误的科学结论。在本文中,对各种相关性能指标(如选择性、特异性、准确性、精密度、线性、范围、检测限、定量限、耐用性和稳健性)的定义进行了批判性讨论,以防止其错误使用,并确保出版物之间的科学正确性和一致性。