A dose interpolation routine for multiple dilutions in radioimmunoassay

Area of Science:

• Biochemistry
• Analytical Chemistry
• Immunology

Background:

• Radioimmunoassay (RIA) is a widely used technique for quantifying substances.
• Accurate dose estimation from serial dilutions is crucial for reliable RIA results.
• Existing methods may struggle with data outliers or assay curve limitations.

Purpose of the Study:

• To develop and validate a computer-based method for estimating doses from multiple dilutions in RIA.
• To improve the accuracy and robustness of dose estimation, especially at assay limits.
• To provide insights into standard curve parameters through data point analysis.

Main Methods:

• A novel computer program was developed to minimize root mean square error against a standard curve.
• Confidence limits were evaluated using the sum of squares error as a function of dose.
• An integrated subroutine identified and excluded data points with significant errors of fit.

Main Results:

• The computer program demonstrated good agreement with traditional point-by-point evaluations for typical data.
• The method showed robust performance, effectively handling errors at the extremes of the assay curve.
• Analysis of rejected data points provided information on the relationship between standard and unknown sample curve parameters.

Conclusions:

• The developed computer program offers a reliable and robust method for dose estimation in RIA.
• This approach enhances the precision of RIA results by effectively managing data quality.
• The method is applicable to various laboratory materials and biological fluid assays, including alphafetoprotein measurement.