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WS/T 493-2017 English PDF

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WS/T 493-2017: Guide to the estimation of the measurement uncertainty of reference methods in enzymology reference laboratiories
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WS/T 493-2017969 Add to Cart 9 days Guide to the estimation of the measurement uncertainty of reference methods in enzymology reference laboratiories Valid

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Basic data

Standard ID: WS/T 493-2017 (WS/T493-2017)
Description (Translated English): Guide to the estimation of the measurement uncertainty of reference methods in enzymology reference laboratiories
Sector / Industry: Health Industry Standard (Recommended)
Classification of Chinese Standard: C50
Word Count Estimation: 42,475
Date of Issue: 2017-09-06
Date of Implementation: 2018-03-01
Regulation (derived from): State-Health-Communication (2017) 14
Issuing agency(ies): National Health and Family Planning Commission of the People's Republic of China

WS/T 493-2017: Guide to the estimation of the measurement uncertainty of reference methods in enzymology reference laboratiories


---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Guide to the estimation of the measurement uncertainty of reference methods in enzymology reference laboratiories ICS 11.100C50 People's Republic of China Health Industry Standard Enzymology reference laboratory reference method measurement uncertainty Assessment Guidelines Released on.2017-09-06 Implementation of.2018-03-01 Issued by the National Health and Family Planning Commission of the People's Republic of China

Table of contents

Preface Ⅲ 1 Scope 1 2 Normative references 1 3 Terms and definitions 1 4 Abbreviations 2 5 Measurement uncertainty 2 5.1 Error and uncertainty 2 5.2 Sources of uncertainty 3 5.3 Classification of uncertainty 5 6 Evaluation of measurement uncertainty 6 6.1 General steps for evaluating measurement uncertainty 6 6.2 Process of evaluating measurement uncertainty 6 7 Specific steps to assess measurement uncertainty 7 7.1 Provision to be measured 7 7.2 Measurement procedures and measurement models for the IFCC reference method to measure the concentration of enzyme catalytic activity 9 7.3 Identify all possible sources of measurement uncertainty 12 7.4 Drawing the cause and effect (fishbone) diagram of the measurement process and the uncertainty calculation formula of the whole measurement process 16 7.5 List the value of each input 17 7.6 Calculate the standard uncertainty of each input and draw the estimated table 18 7.7 Calculate the concentration of enzyme catalytic activity (μkat/L) 25 7.8 Evaluation of the uncertainty of the synthetic standard in the whole process of measurement 25 7.9 Calculate the expanded uncertainty (U) and determine the synthesis factor (K) and unit 27 7.10 Contribution graph of input quantity to measurement uncertainty and main input quantity 27 8.Uncertainty report 28 8.1 General 28 8.2 Required information 29 8.3 Reporting standard uncertainty 29 8.4 Report expanded uncertainty 29 8.5 Compliance with limits 29 Appendix A (informative appendix) Finding the source of measurement uncertainty and drawing of causal (fishbone) diagram 31 Appendix B (informative appendix) Common sources and values of uncertainty 36 Appendix C (informative appendix) Data distribution function 38

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. Drafting organizations of this standard. Beijing Hospital, Beijing Aerospace General Hospital, First Affiliated Hospital of Nantong Medical College of Jiangsu Province, Guangdong Provincial Hospital of Traditional Chinese Medicine, Shanghai Shanghai Municipal Clinical Laboratory Center, Peking Union Medical College Hospital of Chinese Academy of Medical Sciences, Beijing Shijitan Hospital. The main drafters of this standard. Yang Zhenhua, Chen Baorong, Wang Huimin, Huang Xianzhang, Wang Jing, Ju Yi, Qiu Ling, Zhang Man. Enzymology reference laboratory reference method measurement uncertainty Assessment Guidelines

1 scope

This standard specifies the source of measurement uncertainty, the steps for evaluating measurement uncertainty, and the procedures for the evaluation of the Report method. This standard applies to the measurement uncertainty of the enzymatic reference laboratory evaluation reference method for measuring the concentration of enzyme catalytic activity, and also applies to the The measurement uncertainty evaluation of other reference methods measured by the principle of spectrophotometry can also be used by accredited assessors in the assessment process use.

2 Normative references

The following documents are indispensable for the application of this document. For dated reference documents, only the dated version applies to this article Pieces. For undated references, the latest version (including all amendments) applies to this document. JJF1001-2011 General measurement terms and definitions JJF1059.1-2012 Evaluation and expression of measurement uncertainty CNAS-GL06..2006 Guidelines for the Evaluation of Uncertainty in Chemical Analysis

3 Terms and definitions

The following terms and definitions defined in JJF1001-2011 apply to this document. 3.1 System formation provides reference. Example 1.A certain amount of serum derived from a larger amount of serum. Example 2.An unbiased or randomly selected subgroup of a set of measurement results. 3.2 Verification by checking and providing objective evidence to show that it can meet the specific requirements of the intended application. Example. The measurement program that is usually used to measure the nitrogen concentration in water is also confirmed to be able to measure the nitrogen concentration in human serum. Note. The expected application or user needs are outside the measurement system and have nothing to do with it; but the performance is part of the measurement system or measurement program, that is, it Within the measurement system (verification). 3.3 Through inspection and provide objective evidence to show that a specified item can meet specific requirements. Example. Demonstrate that the performance of the measurement system or regulatory requirements are met. Note 1.The prescribed items can be processes, measurement procedures, substances, compounds or measurement systems. Note 2.The specific requirements can be to meet the manufacturer's technical performance. Note 3.In chemistry, the verification of the nature or activity of the entity involved requires the description of the structure or characteristics of the entity or activity.

4 Abbreviations

The following abbreviations apply to this document.

5 Measurement uncertainty

5.1 Error and uncertainty 5.1.1 The error is a single value. In principle, the value of the known error can be used to correct the result. The uncertainty is in the form of an interval It shows that when evaluating an analysis process and the specified sample type, it can be applied to all the measurement values described. For most medical experiments In terms of testing items in the laboratory, the measurement uncertainty is related to the measurement value. Generally, the uncertainty value cannot be used to correct the measurement result. this In addition, the difference between error and uncertainty is also reflected in. the revised analysis result may be very close to the measured value, so the error can be ignore. The uncertainty can be large because the analyst is not sure how close the measurement results are. The uncertainty of the measurement result is not It can be interpreted as representing the error itself or the residual error after correction. Note. Error is an ideal concept, it is impossible to know exactly. 5.1.2 It is generally believed that the error contains two components, called random component and systematic component, including the following. --- Random errors usually result from unpredictable changes in the amount of influence. These random effects make the measured repeated observations Make a change. Random errors in analysis results cannot be eliminated, but they can usually be reduced by increasing the number of observations; Note. The arithmetic mean value or the experimental standard deviation of the mean value of a series of observations is a measure of the uncertainty of the mean value produced by some random effects. Random error that is not the mean. The exact value of the random error of the average value produced by these random effects is unknown. ---Systematic error is defined as the error that remains constant or changes in a predictable way during a large number of analyses of the same measured Differential component. It is independent of the number of measurements, so it cannot be used by increasing the number of analyses under the same measurement conditions. It reduces. include. ● Constant system error. For example, reagent blanks are not considered in quantitative analysis, or inaccuracy in calibration of multi-point equipment, It may be constant at a given measurement value level, but it may also change with the level of different measurement values; ● Unstable systematic error. In a series of analyses, the influencing factors have undergone systematic changes in quantity, such as Insufficient control of conditions will produce unconstrained systematic errors. Example 1.During chemical analysis, the temperature of a group of samples is gradually increasing, which may cause gradual changes in the results. Example 2.During the entire test, the sensors and probes may have aging effects, which may introduce inconstant system errors. 5.1.3 Another form of error is false error or excessive error. This type of error makes the measurement invalid, and it is usually caused by human error or instrumentation. The generator fails. Digital carry when recording data, bubbles in the flow cell of the spectrometer, or accidental cross-contamination between samples, etc. Common causes of errors. Include the following. ---False errors are not always obvious. When the number of repeated measurements is large enough, outlier testing should usually be used to check this Whether there is suspicious data in the group data. All positive results in outlier tests should be treated with care and should be reported to The experimenter verified. Normally, a certain value cannot be eliminated based on statistical results alone. ---The measurement uncertainty of the error difference is unacceptable, and this type of error cannot be calculated into the measurement uncertainty. However, the factor Errors caused by word carry can be corrected, especially when this error occurs in the first digit. 5.1.4 All identified significant system effects of the measurement results should be corrected. Measuring instruments and systems usually require measurement standards or The reference material is adjusted or calibrated to correct the system influence. The uncertainty and correction process related to these measurement standards or reference materials The uncertainty that exists in it should be considered. 5.1.5 The uncertainty obtained with this document does not consider the possibility of false errors or excessive errors. 5.2 Sources of uncertainty 5.2.1 Common sources In actual work, the uncertainty of the results may come from many sources, such as incomplete definitions, sampling, matrix effects and interference, environmental regulations Uncertainty of parts, quality and capacity instruments, reference values, estimations and assumptions in measurement methods and procedures, random changes, etc. 5.2.2 The main source of uncertainty in the enzymatic reference laboratory 5.2.2.1 Pre-measurement stage 5.2.2.2.1.1 Sampling and sample preparation The main task of the enzymology reference laboratory is to assign values to the commissioned samples, and generally there is no sampling problem. But if you still accept the assessment of sample variability During work such as variation, sample stability, etc., internal or external sampling is part of the prescribed procedure, such as random changes between different samples. Influencing factors such as potential deviations in the sampling procedure constitute the uncertainty component that affects the final result. This document will not be discuss. Liquid samples often need to be stored at a deep low temperature (such as -70°C) and must be thawed before measurement. The thawing conditions should be strictly controlled and placed in 18℃~20℃ water bath. In addition, it should be mixed after melting, and the mixing method, time and intensity should be strictly controlled to control the uncertainty source. The lyophilized powder sample needs to be reconstituted with distilled water before measurement. The quality of the distilled water added should be strictly controlled, and it should be laboratory-grade water. maybe When possible, the weighing method should be used to control the amount of water added and specify the method of mixing after reconstitution. These measures are used to reduce measurement uncertainty during sample preparation. Fixed degree. 5.2.2.2.1.2 Storage conditions If the test sample is to be stored for a period of time before analysis, the storage conditions may affect the results. Therefore, storage time and storage conditions are also It is considered a source of uncertainty. Enzymology reference laboratories should note that certain enzymes are denatured by cold rather than heat. Such as cryopreservation of samples, will accelerate the denaturation of lactate dehydrogenase, from And produce uncertainty. 5.2.2.2.1.3 Influence of the instrument The following instruments will affect the measurement results of enzyme catalytic activity concentration, including. ---Spectrophotometer. The main sources of uncertainty are wavelength accuracy, half-wave width, accuracy of reading, noise and drift, etc.; --- Pipette. Maximum allowable error (MPE) and repeatability; ---Balance. Maximum allowable error, etc. The enzymology reference laboratory should use the most advanced analytical instruments, and check the performance of the instrument before use to ensure that the performance is within the specified parameters. The uncertainty can be evaluated according to the parameters claimed by the manufacturer. 5.2.2.2.1.4 Reagents There are many sources of uncertainty in the preparation of enzyme reaction reagents, even if the raw materials of the preparation reagents have been tested, because the detection process exists Certain uncertainties, such as the inability to know the concentration of the titration solution in some cases. Many organic indicators are not 100% pure and may contain Isomers and inorganic salts. For the purity of such substances, manufacturers usually only indicate that it is not lower than the specified value. Assumptions about purity levels will Introduce an uncertainty component. Changes in the concentration of various components in the reaction mixture may be the source of measurement uncertainty. the speed of the enzymatic reaction is affected by the concentration of various substances. Effects include substrates, activators, inhibitors, buffers, etc. When the enzyme coupling reaction is used to measure the concentration of enzyme activity, various tool enzymes (referring to Show enzyme, auxiliary enzyme) and corresponding substrate. The reference method has done research and regulation of the optimum concentration of various substances in the reagent. In the preparation of reagents At the same time, as long as the advanced balance is used for weighing, the concentration changes are small and often negligible, and their standard uncertainty is not calculated. But note It is intended to weigh very small hours, such as pyridoxal phosphate in ALT and AST measurement reagents, and 5'AMP in CK measurement reagents. It is best to pass the experiment Verify that these substances can cause greater measurement uncertainty due to weighing errors. The aging of the reagents and the preparation of different batch numbers will also cause measurement uncertainty. If the reagents are prepared before each batch measurement, the measurement results The results include the uncertainty caused by the preparation of reagents and remove the effects of reagent aging. A small amount of impurities may inhibit or activate the catalytic activity of the enzyme, which may be a very important source of measurement uncertainty. Have It is necessary to formulate stricter requirements for the raw materials used to prepare enzyme measurement reagents, such as the content of D-alanine in L-alanine and the content of glycine in diglycine. Quantity and so on. 5.2.2.2.1.5 Principle of measurement-Hypothetical quantitative relationship of chemical reactions When it is assumed that the analysis process is carried out in accordance with the quantitative relationship of a specific chemical reaction, it may be necessary to consider deviations from the expected chemical reaction definition. Quantity relationship, or incomplete reaction or side reaction. 5.2.2.2 Measurement phase 5.2.2.2.1 Environmental conditions during measurement Volumetric glass instruments are generally used at an ambient temperature different from the calibration temperature. The total temperature effect should be corrected, but the liquid and The uncertainty of the glass temperature should be considered. Similarly, when the material is sensitive to possible changes in humidity, humidity is also important, at this time humidity The impact should also be corrected. 5.2.2.2.2 Effects of samples The recovery rate of the analyte in a complex matrix or the response of the instrument may be affected by the matrix composition. The species of the analyte will make this effect The sound becomes more complicated. The stability of the sample (analyte) may be affected during the analysis process due to changed thermal conditions or photodecomposition. Health changes. When using "feed samples" to estimate the recovery rate, the recovery rate of the analyte in the sample may be different from the recovery rate of the feed sample. This introduces uncertainty that needs to be considered. 5.2.2.2.2.3 Blank correction The value and suitability of blank correction will have uncertainty, which is especially important in trace analysis. 5.2.2.2.2.4 Other important sources of uncertainty The speed of enzyme-catalyzed reactions is affected by changes in pH. Generally speaking, each enzyme has its optimal reaction pH, and the reaction speed increases with the change in pH. Rise or fall. This component should be considered when evaluating measurement uncertainty. Different enzymes react inconsistently to pH. When evaluating measurement uncertainty Always calculate the sensitivity factor. Multiple chemical substances can often be used to prepare the same pH buffer, and appropriate raw materials should be selected. At this time, not only the pKa of the raw material must be considered In order to ensure sufficient buffer capacity, it is also necessary to consider whether the raw material itself can inhibit or activate the catalytic activity of the enzyme. 5.2.2.2.4.2 Temperature during enzyme-catalyzed reaction Temperature has a significant effect on the concentration of enzyme catalytic activity. Generally speaking, an increase in temperature will accelerate the reaction, but after a certain temperature, due to enzyme The protein denatures and the reaction speed slows down. When evaluating the measurement uncertainty, the sensitivity coefficient of temperature influence is often calculated. 5.2.2.3 Post-measurement stage The molar extinction coefficient should be used when calculating the enzyme activity concentration, and the uncertainty of this coefficient should be considered. Some instruments use linear regression, press The calculation result of the slope sometimes leads to a poor fit, so a larger uncertainty is introduced. Rounding can lead to inaccuracies in the final result, but these are rarely predictable, so it is recommended not to be in the calculation process, but in the calculation process. Finally, the contract is revised, so it may not be necessary to consider the uncertainty caused by the revision. 5.2.2.4 Other 5.2.2.2.4.1 Influence of laboratory conditions 5.2.2.4.1.1 Temperature and humidity. The temperature and humidity in the laboratory during measurement usually have a certain impact on the measurement, especially for enzymatic measurem......
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