食品营养成分检测中的数据准确性提升策略研究  

Research on Data Accuracy Improvement Strategy in Food Nutrient Composition Detection

作　　者：周红艳 张华 苏晓东 ZHOU Hongyan;ZHANG Hua;SU Xiaodong(Xi’an Guolian Quality Inspection Technology Co.,Ltd.,Xi’an 710000,China)

机构地区：[1]西安国联质量检测技术股份有限公司,陕西西安710000

出　　处：《食品安全导刊》2025年第12期132-134,共3页China Food Safety Magazine

摘　　要：本文聚焦食品营养成分检测中的数据准确性问题,系统探讨其对食品安全监管、食品产业发展及消费者健康决策的重要意义。研究深入分析了影响数据准确性的关键因素,包括仪器设备性能不稳定、检测方法选择不当、样品前处理误差及数据处理与传输错误等,并针对这些问题,提出优化仪器设备管理、科学选择检测方法、规范样品前处理流程及强化数据处理与传输管控等策略,旨在为提升食品营养成分检测数据的准确性提供科学参考和实践指导。This article focuses on the issue of data accuracy in the detection of food nutritional components,and systematically explores its important significance for food safety supervision,food industry development,and consumer health decision-making.The study thoroughly analyzed the key factors that affect data accuracy,including unstable instrument and equipment performance,improper selection of detection methods,sample pre-processing errors,and data processing and transmission errors.In response to these issues,strategies were proposed to optimize instrument and equipment management,scientifically select detection methods,standardize sample pre-processing processes,and strengthen data processing and transmission control.The aim is to provide scientific reference and practical guidance for improving the accuracy of food nutrition detection data.

关 键 词：食品营养成分检测 数据准确性 仪器设备 检测方法 样品前处理 数据处理 

分 类 号：TS207.3[轻工技术与工程—食品科学]