GB/T 33260.5-2018
Capability of detection.Part 5:Methodology in the linear and nonlinear calibration cases (English Version)

Standard No.

GB/T 33260.5-2018

Language

Chinese, Available in English version

Release Date

2018

Published By

General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China

Latest

GB/T 33260.5-2018

Scope

This part of GB/T 33260 is mainly applicable to the case where the calibration function is nonlinear, and it can also be used for linear cases. The basic methods given in this section are used to: — construct the precision profile function of the response variable, that is, a function of the net state variable, expressed in terms of the standard deviation (SD) or coefficient of variation (CV) of the response variable; — by means of calibration function to transform the precision profile function of the response variable into the precision profile function of the net state variable; ——Use the precision profile function of the net state variable to estimate the critical value and the minimum detectable value of the net state variable. When the methods given in GB/T 33260.2-2018 cannot effectively evaluate the detection capabilities of various types of measurement methods (measuring equipment), the methods given in this part are very useful. This includes the determination of persistent organic pollutants (POPs, such as dioxin, pesticides and hormone chemicals) and bacterial toxins that can cause high fever in the environment by competitive ELISA (enzyme-linked immunosorbent assay). GB/T 33260.1-2016 and GB/T 33260.2-2018 describe the definition and applicability of the critical value and the minimum detectable value of the net state variable. This section extends the concepts in GB/T 33260.2 to nonlinear calibration situations. Both the critical value x_c and the minimum detectable value x_d are given in units of the net state variable. If x_c and x_d are defined based on the distribution of the response variable, then this definition should include a calibration function that transforms the response variable into a net state variable. The x_c and x_d defined in this section are based on the distribution of the net state variable, independent of the form of the calibration function. Therefore, this definition applies regardless of whether the functional form is linear or nonlinear. The calibration function should be continuous, differentiable, and monotonically increasing or decreasing. This part further gives the method when SD or CV is only known in the neighborhood of the minimum detectable value. Some examples are given in Chapter 6.

GB/T 33260.5-2018 Referenced Document

• GB/T 33260.1-2016 Capability of detection—Part 1: Terms and definitions
• GB/T 33260.2-2018 Capability of detection—Part 2: Methodology in the linear calibration case
• GB/T 3358.1-2009 Statistics-Vocabulary and symbols-Part 1:General statistical terms and terms used in probability
• GB/T 3358.2-2009 Statistics.Vocabulary and symbols.Part 2:Applied statistics
• GB/T 3358.3-2009 Statistics-Vocabulary and symbols-Part 3：Design of experiments
• GB/T 6379.1-2004 Accuracy(trueness and precision)of measurement methods and results Part 1:General principles and definitions

GB/T 33260.5-2018 history

• 2018 GB/T 33260.5-2018 Capability of detection.Part 5:Methodology in the linear and nonlinear calibration cases

GB/T 33260.5-2018 -All Parts