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Evaluation of Measurement Uncertainty in the Determination of Benzo[a]pyrene in Fertilizer by Adaptive Monte Carlo Method |
WANG Gao-jun, WU Hao, ZHANG Ming-hong |
Shanghai Research Institute of Chemical Industry Testing Co., LTD, Shanghai 200062, China |
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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.
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Received: 04 March 2020
Published: 06 January 2022
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