食品检测中近红外光谱分析技术的应用研究

Research on the Application of Near Infrared Spectroscopy Analysis Technology in Food Testing

为了实现对食品成分、品质等方面的准确检测,为食品安全监管和质量控制提供有效的技术支持,引入近红外光谱分析技术,开展了该项技术在食品检测中的应用研究。通过样品制备、选择光谱采集设备、设置采集参数,采集食品近红外光谱,引入标准正态变量变换算法和自适应滤波算法,预处理采集的光谱数据,基于预处理后的数据,结合主成分分析法,构建食品成分特征与近红外光谱数据之间的数学模型,实现近红外光谱分析技术在食品检测的应用设计。实验结果表明,提出的研究应用后,食品成分检测结果与真实值更加接近,检测均方根误差较小,食品检测的准确性得到了显著提升。

In order to achieve accurate detection of food ingredients,quality and other aspects,and provide effective technical support for food safety supervision and quality control,near-infrared spectroscopy analysis technology was introduced and applied in food testing research.By prepar-ing samples,selecting spectral collection equipment,setting collection parameters,and collecting near-infrared spectra of food,introducing standard normal variable transformation algorithms and adaptive filtering algorithms,the collected spectral data is preprocessed.Based on the preprocessed data,combined with principal component analysis,a mathematical model is constructed between food ingredient characteristics and near-infrared spectral data to achieve the application design of near-infrared spectral analysis technology in food detection.The experimental results show that af-ter the proposed research application,the detection results of food ingredients are closer to the true values,the root mean square error of detection is smaller,and the accuracy of food detection has been significantly improved.