Karpinski K F, Hayward S, Tryphonas H
Food Directorate, Health Protection Branch, Health and Welfare Canada, Ottawa, Ontario.
J Immunol Methods. 1987 Nov 5;103(2):189-94. doi: 10.1016/0022-1759(87)90289-4.
Several methods for analyzing ELISA data have been evaluated using optical density values derived by reacting serial two-fold dilutions of a rhesus monkey (Macaca mulatta) reference serum with dilutions of peroxidase-conjugated monospecific antisera to human IgG and IgM in the micro-ELISA 'sandwich' technique using microplates coated with appropriately diluted antisera to human IgG and IgM. Representation of optical density as a linear function of log serum dilution was shown to be inappropriate and potentially misleading. Weighted non-linear least squares analysis of a 4-parameter logit was demonstrated to be inappropriate because it required the specification of a somewhat arbitrary variance function and weight estimates varied substantially depending on the function used. Representation of optical density as a 4-parameter logistic function with estimation carried out on the log scale was shown to be the most appropriate procedure for determining the concentration of antigens or antibodies by the ELISA method.
使用恒河猴(猕猴)参考血清的系列两倍稀释液与过氧化物酶偶联的抗人IgG和IgM单特异性抗血清的稀释液在使用包被有适当稀释的抗人IgG和IgM抗血清的微孔板的微ELISA“夹心”技术中反应所获得的光密度值,对几种分析ELISA数据的方法进行了评估。将光密度表示为对数血清稀释度的线性函数被证明是不合适的,并且可能会产生误导。对四参数logit进行加权非线性最小二乘分析被证明是不合适的,因为它需要指定一个有点随意的方差函数,并且权重估计根据所使用的函数有很大差异。将光密度表示为对数尺度上进行估计的四参数逻辑函数被证明是通过ELISA方法测定抗原或抗体浓度的最合适程序。