高光谱技术在腊肉亚硝酸盐含量检测的应用

Inspect Nitrite of China Bacon with Hyperspectral Technology

目的:亚硝酸盐作为一种常见的食品添加剂,被广泛应用于腊肉等肉类食品,由于生产者不能清楚地认识到亚硝酸盐对人体的危害性,仅仅为追求其发色效果而过多使用亚硝酸盐,导致亚硝酸盐含量超标,严重危害消费者的人身健康。针对这一问题,以腊肉为对象,探讨了高光谱技术在亚硝酸含量快速检测的可行性。方法:首先采集腊肉的高光谱数据,然后利用偏最小二乘法(PLS)将获取的高光谱数据与国标法获取的亚硝酸盐实际含量值关联起来,建立腊肉亚硝酸盐含量预测模型。结果:采用不同光谱预处理方法,比较其所建模型,其中一阶导数+矢量归一化所建模型效果最佳,模型交互验证均方差RMSECV为0.251,决定系数R2为0.972。结论:研究结果表明,高光谱技术可以用于腊肉亚硝酸盐含量快速检测。

Objetive：Nitrite is widely used in Chinese bacon and other meat products as a ordinary food additive, because producerscan not clearly recognize the dangers of nitrite and use a lot nitrite just to pursue its color effect,that lead to the nitrite in a high level..it will seriously endanger the physical health of consumers.Method ：In the paper, we are investigated the feasibility of hyperspectral technology for rapid detection of nitrite in Chinese bacon and established Chinese bacon nitrite prediction model by PLS.Result：By comparing different spectra pretreatment methods of the model.We found first derivative and vector normalization of the model is the best, RMSECV is 0.251 and R^2 is 0.972.Conclusion：The results show that we can achieve rapid detection of nitrite in Chinese bacon by hyperspectral technology.