Method and device for analyzing uncertainty

Abstract

The invention provides a method for analyzing uncertainty, which comprises: obtaining analyte content and content standard uncertainty in a standard sample; obtaining response of the standard sample and response standard uncertainty of the standard sample; fitting based on the analyte content in the standard sample and response of the standard sample to generate a relationship between response and content taking the content standard uncertainty and the response standard uncertainty of the standard sample as weight; setting a response in the relationship between response and content to generate a transition content; obtaining a transition content standard uncertainty based on the set response and the transition content; generating analyte content and content standard uncertainty in the standard sample based on the transition content and the transition content standard uncertainty. Through introducing uncertain factors of each point of a fitting curve, evaluation data processing of uncertainty in a measurement process is realized.

Description

Technical field [0001] The invention relates to chemical measurement technology, in particular to a method and device for analyzing uncertainty. Background technique [0002] In recent years, with the development of society and the acceleration of economic globalization, the unification of uncertainty evaluation and expression methods has become a very important indicator in international scientific and technological exchanges and trade. In 2000, the International Organization for Standardization in its revised "General Requirements for the Competence of Calibration and Testing Laboratories" (ISO17025) clearly stated that each laboratory certificate or report must contain instructions on the uncertainty evaluation of calibration and test results . Uncertainty is a quantitative characterization of the quality of measurement results, and the availability of measurement results largely depends on its uncertainty. Therefore, the measurement result must be accompanied by a description...

AI Technical Summary

Problems solved by technology

[0012] The problems in the above process are: firstly, most of the factors affecting the uncertainty are generated before the actual test samples, such as the uncertainty of the standard substance itself in the calibration process, the process of preparing the calibration curve, the calibration process of the calibration curve, The fitting process of the calibration curve, etc., these uncertainties should be calculated before the actual test samples; secondly, the methods currently used by various laboratories to fit the calibration curve are simple regression, which ignores the inconsistency of each point in the calibration curve. Influence Factors of Certainty Degree on Fitting Curve

[0013] 2) There are differences on how to directly measure and calculate the detection limit of the method, and there is no unified regulation

[0014] 3) The allowable limit of relative deviation of the repeated analysis results and the Z-score are two important indicators for testing the testing ability of the laboratory. The existing technology can only rely on a statistical and empirical formula to set the allowable limit of the relative deviation of the repeated analysis results. However, an accurate standard cannot be given; the existing technology uses inaccurate median values ​​to calculate Z ratio scores, and there is a large error

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