彭名军,黄铁城,钟玉心,林子豪,戚 平,曾 羲.乳粉中亚硝酸盐检测质量控制图的应用[J].食品安全质量检测学报,2021,12(10):4150-4154
乳粉中亚硝酸盐检测质量控制图的应用
Application of quality control chart of nitrite detection in milk powder
投稿时间:2021-01-22  修订日期:2021-03-04
DOI:
中文关键词:  乳粉  亚硝酸盐  质量控制图
英文关键词:milk powder  nitrite  quality control chart
基金项目:广州市科技计划项目(201707010372)
作者单位
彭名军 广州市食品检验所 
黄铁城 广州市食品检验所 
钟玉心 广州市食品检验所 
林子豪 广州市食品检验所 
戚 平 广州市食品检验所 
曾 羲 广州市食品检验所 
AuthorInstitution
PENG Ming-Jun Guangzhou Inspection of Food Control 
HUANG Tie-Cheng Guangzhou Inspection of Food Control 
ZHONG Yu-Xin Guangzhou Inspection of Food Control 
LIN Zi-Hao Guangzhou Inspection of Food Control 
QI Ping Guangzhou Inspection of Food Control 
ZENG Xi Guangzhou Inspection of Food Control 
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中文摘要:
      目的 建立乳粉中亚硝酸盐检测的质量控制图, 判断检测过程与结果是否处于控制状态。方法 以有证标准样品作为控制样品, 依据GB 5009.33—2016《食品安全国家标准 食品中亚硝酸盐与硝酸盐的测定》检测控制样品中亚硝酸盐的含量。将子组数设为25, 每个子组平行测定2次, 利用Microsoft Office Excel软件, 绘制极差控制图与均值控制图, 分析受控状态。结果 乳粉中亚硝酸盐含量的平均值为5.15 mg/kg, 标准偏差为0.357 mg/kg, 极差的平均值为0.157 mg/kg, 极差的标准偏差为0.139 mg/kg。结论 乳粉中亚硝酸盐的检测过程中, 平行样的检测处于统计控制状态, 重复性稳定良好。平行样的均值都处于统计控制状态, 检测过程、方法与结果受控。
英文摘要:
      Objective To establish the quality control chart of nitrite detection in milk powder, and determine whether the testing process and results are under control. Methods The certified standard sample was used as the control sample, and according to GB 5009.33—2016 National food safety standard-Determination of nitrite and nitrate in foods, the content of nitrite in the control sample was detected. The number of subgroups was set as 25, each subgroup was measured twice in parallel, and the range control chart and mean control chart were drawn to analyze the controlled state using Microsoft Office Excel software. Results The average content of nitrite in milk powder was 5.15 mg/kg, the standard deviation was 0.357 mg/kg, the average of the range was 0.157 mg/kg, and the standard deviation of the range was 0.139 mg/kg. Conclusion In the detection process of nitrite in milk powder, the detection of parallel samples is in the state of statistical control, reproducibility is stable and well, the average of parallel samples are all under statistical control, and the testing process, methods and results are controlled.
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