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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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

Received: 04 March 2020 Published: 06 January 2022

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TB99

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	Articles by authors
	WANG Gao-jun
	WU Hao
	ZHANG Ming-hong

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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[J]. Acta Metrologica Sinica, 2022, 43(1): 127-132.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2022.01.20 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2022/V43/I1/127

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