WS/T 493-2017 in English
VALIDGuide to the estimation of the measurement uncertainty of reference methods in enzymology reference laboratiories
- Issued on:2017-09-06
- Implemented on:2018-03-01
- File Format:PDF
- Delivery:Via email within 5 business days
$592.00
本标准规定了酶学参考实验室在运行参考方法时测量不确定度的来源、评定测量不确定度步骤及报告方式。
本标准适用于酶学参考实验室评定参考方法测量酶催化活性浓度的测量不确定度,也适用于采用分光光度原理测量的其他参考方法测量量值的测量不确定度评定,同时可供认可评审员在评审过程中使用。
Introduction
Analysis of the core content of the standard
| Key elements | Technical requirements | Uncertainty impact |
|---|---|---|
| Spectrophotometer Calibration | Wavelength accuracy±1nm (k=2) | GGT measurement can reach 3.25%/nm |
| Reaction temperature control | 37.0±0.1℃(k=2) | LDH sensitivity coefficient6.8%/℃ |
| Pipette accuracy | Hamilton dispensing instrument 2000μL tolerance 40μL | Triangular distribution standard uncertainty 16.33μL |
Classification of sources of measurement uncertainty
1. Pre-measurement stage
Sample processing:Weighing error of lyophilized powder reconstitution (0.28%), LDH cold denaturation effect
Reagent factors:Weighing variation of pyridoxal phosphate, inter-batch difference of diglycine (2.5%)
2. Measurement process
Instrument performance:
- Absorbance calibration error (rectangular distribution 0.3%/√3)
- Optical path of cuvette (10.00±0.01mm, k=2)
3. Post-Measurement Phase
Outlier Removal Rules (≤10% of Data Volume), Value Rounding Strategy
Technological Evolution and Implementation Recommendations
Standard Development Background: Based on the IFCC reference method system, this standard addresses key metrological issues in the traceability of enzymatic measurement values. The 2017 edition systematically standardizes the assessment methods for 12 core parameters, including temperature and pH, for the first time.
Operational optimization suggestions:
- Use the weighing method to reconstitute freeze-dried quality control products (balance MPE±0.05mg)
- Prepare new unstable reagents (such as NADH) for each batch
- Perform multi-day precision experiments (≥4 working days)
Note: When the combined uncertainty components exceed 10, it is recommended to use the Monte Carlo method (MCM) for verification

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