析因实验
实验设计
阶乘
协议(科学)
分式析因设计
统计学家
色谱法
免疫分析
检出限
灵敏度(控制系统)
计算机科学
数学
化学
统计
工程类
医学
免疫学
抗体
数学分析
病理
替代医学
电子工程
作者
Carlos Augusto Hernández,Maylín Pérez-Bernal,Daymí Abreu,Onel Valdivia,Magali Delgado,Dayamí Dorta,Andy G. Domínguez,Enrique R. Pérez,José M. Sánchez-Ríos
标识
DOI:10.1016/j.ab.2023.115195
摘要
In this work, a quantitative sandwich ELISA was optimized, through a full factorial design of experiments (DOE) in successive steps of a preliminary protocol obtained by the method of one factor at a time (OFAT). The specificity of the optimized ELISA, the lower limit of quantification, the quantification range and the analytical sensitivity of the antigen quantification curve were evaluated, in comparison with the curve obtained from the preliminary protocol. The full factorial DOE was linked to a simple statistical processing, which facilitates the interpretation of the results in those laboratories where there is no trained statistician. The step-by-step optimization of the ELISA and the successive incorporation into the protocol of the best combination of factors and levels, allowed obtaining a specific immunoassay, with an analytical sensitivity 20 times greater and with a lower limit of antigen quantification that decreased from 156.25 at 9.766 ng/mL. As far as we know, there are no reports of optimization of an ELISA following the step-by-step scheme used in this work. The optimized ELISA will be used for the quantification of the TT-P0 protein, the active principle of a vaccine candidate against sea lice.
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