肉类现场快速智能化识别分类探究

Fast Intelligent Identification and Exploration of Meat On Site

“挂羊头卖狗肉”在实际生活中时有发生。如何现场快速智能化辨别出肉的种类,面临着挑战。本研究论文,选用便携式拉曼光谱仪,采用大小均一的金纳米颗粒自组装膜作为信号放大剂,利用表面增强拉曼光谱(surface-enhanced Raman spectroscopy,SERS)技术高灵敏,快速,指纹识别等特性和优势,结合智能算法中的主成分分析(principal component analysis,PCA)和支持向量机(support vector machine,SVM),从而快速准确识别出鸡、牛、羊及猪等肉的种类。该方法为食品安全的快速现场检测提供了一条思路和方法。

“hanging a sheep's head and selling a dog's meat”often happens in real life.How to identify meat quickly and intelligently on site is a challenge.This research chooses a portable Raman spectrometer and a self-assembled film consisting of uniform gold nanoparticles as the signal amplification substrate.Using surface-enhanced Raman spectroscopy(SERS)technology,based on its high sensitivity,rapid,fingerprint identification and other features and advantages,combining with the intelligent algorithm of principal component analysis(PCA)and support vector machine(SVM).Achieving quickly and accurately identify of chicken,cattle,sheep and pig meat.This method provides an idea and a method for fast field testing of food safety.