Nonlinear calibration precision analysis method based on iterative optimal power

Abstract

The embodiment of the invention provides a nonlinear calibration precision analysis method based on iterative optimal power. The nonlinear calibration precision analysis method comprises the followingsteps of: acquiring a data set of a set number of groups of reagent light values and corresponding reagent concentrations; according to the data set, constructing a nonlinear function from the reagent light value to the reagent concentration through a nonlinear calibration mode based on iterative optimal power; and performing precision analysis on the nonlinear function. By adopting the method, the problems of poor calibration accuracy and imperfect calibration precision evaluation method in the prior art can be solved, so that the reagent concentration can be more accurately determined through the reagent light value when a chemiluminescence immunoassay reagent is applied.

Description

technical field [0001] The invention relates to the technical field of analytical reagent calibration, in particular to a non-linear calibration accuracy analysis method based on iterative optimal power. Background technique [0002] There is a one-to-one mapping relationship between the light value of chemiluminescent immunoassay reagents and the concentration of the reagent, which is represented by a nonlinear function, and calibration is to use a limited number of data sets to identify a nonlinear function from concentration to light value. This nonlinear function is strictly monotonically increasing and depends on four unknown parameters. When the function structure is given, the concentration can be calculated by the nonlinear inverse function if the light value is known. The reagent concentration range is 0 to 1000 (the common reagent concentration range is 0.1 to 3.5), and the corresponding reagent light value measurement range is 100 to 10000000. At present, there ...

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Problems solved by technology

In order to determine this nonlinear function, a method of mild nonlinear calibration based on the optimal power and relative weight is adopted, so that it can meet the relative residual requirements of low concentrations, make the determination result of the nonlinear function more accurate, and finally Make the result of determining the reagent concentration through the light value more accurate; at the same time, parameters such as residual sum of squares, relative residual sum of squares, parameter accuracy pipeline, and fitted value accuracy pipeline are given to solve the calibration accuracy evaluation in the prior art The problem with imperfect methods

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