China Dairy ›› 2025, Vol. 0 ›› Issue (12): 71-76.doi: 10.12377/1671-4393.25.12.11

• QUALITY CONTROL • Previous Articles     Next Articles

Analysis of Proficiency Testing Results and Quality Control Research on Lactic Acid Bacteria Detection in Milk Powder

CHEN Chen, ZHANG Huiping*, ZHANG Jingze, JIN Wei, LI Zhenxia, LI Ruixue, JIN Xiao   

  1. Inner Mongolia Mengniu Dairy(Group)Co.,Ltd.,Hohhot Inner Mongolia 011517
  • Online:2025-12-25 Published:2026-01-14

Abstract: [Objective] To enhance the laboratory testing capability and level,optimize the experimental data processing procedure,strengthen the laboratory quality control system,and improve the credibility of experimental results,this study systematically verified the detection capability of lactic acid bacteria count.[Method] According to the“ACAS-PT1911(2024)Proficiency Testing Guide for Lactic Acid Bacteria in Milk Powder”and“GB 4789.35-2023 National Food Safety Standard - Microbiological testing of food - Lactic Acid Bacteria Testing”,the proficiency testing samples with numbers 24-S614 and 24-F143 were tested, and the uncertainty was evaluated.[Result] The detection result of sample 24-S614 was 7.0×106,with a Z value of -1.0. The detection result of sample 24-F143 was 1.1×107,with a Z value of 1.2. The │Z│of both test proficiency testing samples was≤2.0,which was a satisfactory result..Critical control point analysis and uncertainty assessment indicated that dilution error,weighing error,temperature fluctuation,and repeated detection were the main contributing sources. The expanded uncertainty of the lactic acid bacteria count results was 2.2×10-4(P=95%,k=2).[Conclusion] The results of the proficiency testing indicate that the laboratory's ability to detect lactic acid bacteria has been effectively enhanced,increasing the reliability of the laboratory's detection results. This confirmed that such matrix proficiency testing samples had good stability and reliability,providing a reference for the standardization of lactic acid bacteria detection methods in milk powder.

Key words: lactic acid bacteria, detection proficiency verification, quality control

[1] FAO and WHO.Probiotics in food:Health and nutritional properties and guidelines for evaluation[M].Rome:Food and Agriculture Organization of the United Nations:World Health Organization,2006.
[2] 吴九玲.GB4789.35《食品安全国家标准食品微生物学检验乳酸菌检验》新旧标准比较及操作疑难解析[J].食品安全导刊,2024(15):101-104.
[3] 俞漪,胡雪莲.酸乳中乳酸菌计数方法的改进[J].农产品加工,2014(2):44-45.
[4] 刘秋婷,陈佩虹.乳酸菌计数能力验证的结果与分析[J].食品安全导刊,2024(7):100-102,106.
[5] 高可丽,林垲,方春,等.动物源乳酸菌的分离鉴定以及生物学特性研究[J].黑龙江畜牧兽医,2020(7):105-107,111,161.
[6] 聂紫玉,吴艳阳,王增光,等.植物源益生乳酸菌的筛选及其特性[J].食品科学,2022,43(18):143-151.
[7] 耿爽,肖红利,王斯佳.食用益生菌体外功能筛选研究进展[J].食品科技,2020,45(5):19-23.
[8] 康平,刘仁清,黄汉权.能力验证活动结果在CNAS认可实验室中的应用浅析[J].现代工业经济和信息化,2016,6(21):59-60.
[9] 吕睿,孙瑞玲,牛毓,等.关于有效实施省级环境监测实验室能力验证的思考[J].甘肃科技,2017,33(19):16-20.
[10] 王玮. 土壤肥料检测实验室质量控制方法浅析[J].中国农技推广,2013,29(5):35-37.
[11] 国家卫生健康委员会,市场监管总局.GB4789.35—2023 食品安全国家标准食品微生物学检验乳酸菌检验[S].
[12] 曾嘉雯,吴梓伟,何汧瑜.食品中乳酸菌定量常用的检测方法比较研究[J].广东化工,2022,49(14):150-152,170.
[13] 耿冬青,韩莎莎.霉菌和酵母计数能力验证结果分析及不确定度评定[J].质量安全与检验检测,2024,34(5):46-53.
[14] 黄宝莹,佘之蕴,黄玲玲,等.发酵乳乳酸菌数近红外快速检测方法的研究[J].中国乳品工业,2023,51(8):44-50,64.
[15] 师倍倍,徐佳荫,王连凤,等.实验室常见培养基成分对乳酸菌检测的影响[J].中国乳业,2025(1):80-85,91.
[16] 宫春宇,徐硕,徐先梅,等.超滤分离制备玉米须粗多糖及其促益生菌增殖活性研究[J].食品与发酵工业,2021,47(17):166-171.
[17] 杨亚宗,于波.微生物菌落总数的测量不确定度评定[J].质量安全与检验检测,2024,34(5):74-78.
[18] 中华人民共和国国家质量监督检验检疫总局.SN/T1800—2006 食品和动物饲料微生物学30 ℃菌落计数方法[S].
[19] 富莉静,薛志清,韩立杰,等.冰淇淋菌落总数Soleris曲线的研究[J].食品安全质量检测学报,2018,9(20):5452-5456.
[20] 袁维道,冯晨韵,陈彩霞,等.食品中菌落总数能力验证结果分析[J].食品安全导刊,2024(4):62-64.
[21] 周晓红,孙明华,徐佩华,等.现榨果汁中菌落总数检测结果的不确定度评定[J].中国卫生检验杂志,2010(9):2324-2326.
[22] 李静芳,场水平,唐小兰,等.奶粉检测中不确定度的评定[J].中国微生物检验杂志,2009(7):1477-1478.
[23] 杨燕,李琼琼,宋光艳,等.能力验证乳粉中乳酸菌计数不确定度的评定[J].食品安全质量检测学报,2016,7(7):2747-2750.
[24] 邴喆,黄启红,蔡大川,等.鸡肉菌落总数检验中不确定度的评定[J].广东化工,2016,43(15):226-227.
[25] 国家质量监督检验检疫总局.JJG 196—2006 常用玻璃量器[S].
[26] 林征. 不同贮存时间与温度对鲜湿米粉中菌落总数的影响[J].农业与技术,2013,33(9):8-9.
[27] 傅德江. 饮料中霉菌和酵母计数检验结果不确定度的评定[J].食品安全导刊,2020(18):120-121.
[28] 中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T 27025—2008检测和校准实验室能力的通用要求[S].
[29] 中国实验室国家认可委员会.ISO/IECI17025:2005中国实验室闻家认可委员会检测和校准实验室能力认可准则[S].
[30] Dias F R S,Lourenço F R.Measurement uncertainty evaluation and risk of false conformity assessment for microbial enumeration tests[J].Journal of Microbiological Methods,2021,189:106312.
[31] Dias F Ra S,Lourenço F R.Top-down evaluation of the matrix effects in microbial enumeration test uncertainty[J].Journal of Microbiological Methods,2020,171:105864.
[32] 李莎,谭震.酸乳乳酸菌数检验中不确定度的评定[J].中国卫生检验杂志,2012,22(8):1864-1865.
[33] 中华人民共和国国家卫生健康委员会,国家市场监督管理总局.GB4789.28—2024 食品安全国家标准食品微生物学检验培养基和试剂的质量要求[S].
[34] 中国合格评定国家认可委员会.CNAS-RL02能力验证规则[S].
[35] 余秋地,秦爱,张明娟,等.奶粉中蜡样芽胞杆菌检测能力验证结果和关键控制点分析[J].质量安全与检验检测,2024,34(6):60-66.
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