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作 者:吴培凤 翦祎 WU Peifeng;JIAN Yi(Yantai Muping District Inspection and Testing Center,Yantai 264100,China)
机构地区:[1]烟台市牟平区检验检测中心,山东烟台264100
出 处:《食品安全导刊》2024年第32期10-12,共3页China Food Safety Magazine
摘 要:本文分析农产食品检验检测过程中存在的问题,如样品代表性不足、检测方法灵敏度低及数据分析偏差显著等,并提出相应的解决方案,如优化样品采集策略、提升检测技术精度、规范数据分析流程等,旨在提高检验检测结果的准确性和可靠性。研究结果表明,科学合理的样品采集与处理、高灵敏度检测技术和严谨的数据分析流程是保障食用农产品质量安全的关键。This paper analyzes the problems existing in the process of agricultural food inspection and testing,such as insufficient sample representativeness,low sensitivity of detection methods and significant deviations in data analysis,and proposes corresponding solutions,such as optimizing sample collection strategies,improving the accuracy of detection technology,and standardizing the data analysis process,aiming to improve the accuracy and reliability of inspection and testing results.The results show that scientific and reasonable sample collection and processing,high-sensitivity detection technology and rigorous data analysis process are the key to ensure the quality and safety of edible agricultural products.
分 类 号:TS207.3[轻工技术与工程—食品科学]
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