自适应蒙特卡洛法评定肥料中苯并［a］芘含量的测量不确定度

doi:10.3969/j.issn.1000-1158.2022.01.20

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摘要通过Python编写计算程序,完成自适应蒙特卡洛法评定测量不确定度的代码实现,进而评定气相色谱质谱法测定肥料中苯并［a］芘含量的测量不确定度。结果表明,气相色谱质谱仪测定肥料中苯并［a］芘含量的标准不确定度为0.0179mg/kg。探索了自适应MC法在肥料成分含量测定的测量不确定度评定中的应用,结果表明,这种方法具有适用性广、计算过程直观、计算结果可靠的优点。

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	王高俊
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	章明洪

关键词 ：计量学, 苯并［a］芘, 肥料, 自适应蒙特卡洛法, 测量不确定度

Abstract：The code for evaluating the measurement uncertainty by adaptive Monte Carlo method was completed by compiling the calculation program in Python, and then the measurement uncertainty of benzo［a］pyrene content in fertilizer by gas chromatography-mass spectrometry was evaluated.The result showed that the standard uncertainty for the determination of benzo［a］pyrene in fertilizers by gas chromatography mass spectrometer is 0.0179mg/kg. The application of the adaptive MC method in the measurement uncertainty evaluation of the determination of fertilizer composition content is explored. The results show that this method has the advantages of wide applicability, intuitive calculation process and reliable calculation results.

Key words： metrology benzo ［a］ pyrene fertilizer adaptive Monte Carlo method uncertainty

收稿日期: 2020-03-04 发布日期: 2022-01-06

PACS:

TB99

通讯作者: 章明洪(1968-),男,浙江桐乡人,上海化工院检测有限公司正高级工程师,从事肥料质量监测、化学品理化参数研究。Email:zmh@ghs.cn E-mail: wgj@ghs.cn

作者简介: 王高俊(1991-),男,广西南宁人,上海化工院检测有限公司工程师,研究方向为化学品物理危险性及理化参数研究。Email:wgj@ghs.cn

引用本文:

王高俊, 吴昊, 章明洪. 自适应蒙特卡洛法评定肥料中苯并［a］芘含量的测量不确定度[J]. 计量学报, 2022, 43(1): 127-132.
WANG Gao-jun, WU Hao, ZHANG Ming-hong. Evaluation of Measurement Uncertainty in the Determination of Benzo［a］pyrene in Fertilizer by Adaptive Monte Carlo Method. Acta Metrologica Sinica, 2022, 43(1): 127-132.

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