尹晋, 林潇, 邱天, 李亚伟, 宋皓璨, 丁昌明. 网络实验室血清中烟草代谢物检测准确度的影响因素分析[J]. 环境卫生学杂志, 2024, 14(6): 528-533. DOI: 10.13421/j.cnki.hjwsxzz.2024.06.011
    引用本文: 尹晋, 林潇, 邱天, 李亚伟, 宋皓璨, 丁昌明. 网络实验室血清中烟草代谢物检测准确度的影响因素分析[J]. 环境卫生学杂志, 2024, 14(6): 528-533. DOI: 10.13421/j.cnki.hjwsxzz.2024.06.011
    YIN Jin, LIN Xiao, QIU Tian, LI Ya-wei, SONG Hao-can, DING Chang-ming. Influencing factors for the detection accuracy of serum tobacco metabolites in network laboratory[J]. Journal of Environmental Hygiene, 2024, 14(6): 528-533. DOI: 10.13421/j.cnki.hjwsxzz.2024.06.011
    Citation: YIN Jin, LIN Xiao, QIU Tian, LI Ya-wei, SONG Hao-can, DING Chang-ming. Influencing factors for the detection accuracy of serum tobacco metabolites in network laboratory[J]. Journal of Environmental Hygiene, 2024, 14(6): 528-533. DOI: 10.13421/j.cnki.hjwsxzz.2024.06.011

    网络实验室血清中烟草代谢物检测准确度的影响因素分析

    Influencing factors for the detection accuracy of serum tobacco metabolites in network laboratory

    • 摘要:
      目的 探讨影响某全国性调查网络实验室血清中烟草代谢物检测准确度的因素。
      方法 从测定过程中的试剂、耗材、设备、方法和人员各环节进行分析。对样本检测的主要环节和主要操作,按照每次仅改变一个条件的原则,逐次改进操作条件,并对改变条件前后测定的同一样品结果进行单因素方差分析,从而确定所改变的条件是否会对网络实验室的检测结果造成显著性差异。
      结果 造成实验室间误差较大的因素为人员是否经过前处理操作标准化培训和不同品牌的内标。通过对网络实验室技术人员培训、统一前处理操作流程和试剂原料,网络实验检测准确性获得显著提高,血清中烟草代谢物同一浓度样品检测的结果,在网络实验室间的变异系数保持在10%以下,能够满足网络实验室血清中烟草代谢物检测准确度的要求。
      结论 通过实验室人员培训,统一各实验室操作流程以及使用同一品牌试剂和材料等方法,提高各实验室检测血清中烟草代谢物的准确度,保证某全国性调查项目多实验室大样本量检测结果的质量和数据的可靠性。

       

      Abstract:
      Objective To explore the factors affecting the detection accuracy of serum tobacco metabolites in biological monitoring network laboratory.
      Methods An analysis was performed for reagents, consumables, equipment, methods and personnel in the process of determination. According to the principle of changing only one condition each time, the operating conditions were improved one by one for the main links and main operations of sample detection, and the results of the same sample measured before and after changing the conditions were analyzed by one-way ANOVA to determine whether the changed conditions would cause significant differences in the test result of the network laboratory.
      Results The analysis showed that whether personnel had received standardized training on pretreatment operation and the internal standard of different brands were factors causing a relatively large inter-laboratory error. Network laboratory personnel training and unified pre-treatment operation process and reagent raw materials can improve the detection accuracy of network experiment. The coefficient of variation remains below 10% while the result of the same concentration of tobacco metabolites in serum samples between network laboratories, which can meet the requirements for accuracy in the detection of serum tobacco metabolites.
      Conclusion Through the training of laboratory personnel, unifying the operation process of each laboratory and using the same brand of reagents and materials to improve the accuracy of detection of tobacco metabolites in serum by laboratories, and ensure the quality of result and reliability of data in multi-laboratories with large sample size of the national survey.

       

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