Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Detection Technology Ability of Benzene in Adhesives by Iteration Robust Statistic Technique

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342724,
        author={Hao  Wang and Fengping  Ni and Wen  Chen},
        title={Detection Technology Ability of Benzene in Adhesives by Iteration Robust Statistic Technique},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={adhesives benzene detection ability},
        doi={10.4108/eai.17-11-2023.2342724}
    }
    
  • Hao Wang
    Fengping Ni
    Wen Chen
    Year: 2024
    Detection Technology Ability of Benzene in Adhesives by Iteration Robust Statistic Technique
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342724
Hao Wang1,*, Fengping Ni2, Wen Chen3
  • 1: Chemical Testing Laboratory, Ningbo Customs District Technology Center, Ningbo, China
  • 2: Chemical Testing Laboratory, Ningbo Joysun Product Testing Service Co., Ltd, Ningbo, China
  • 3: Comprehensive Technology and Service Center, Shengsi Customs, Zhoushan, China
*Contact email: 3157311566@qq.com

Abstract

In order to analyze and compare the technical level of laboratory detection of benzene in adhesives, the ability test provider PT0031 (CNAS) organized a capability test project for benzene content, in which 146 laboratories participated, uniformity and stability tests, iterative robust statistical techniques and analysis of statistical results, influence of standard solutions, gas chromatography, capillary columns and operating conditions. There were 130 laboratories with qualified test results, accounting for 89.0% of the total feedback.