农业工程学报2012，Vol.28Issue(18)：263-268,6.DOI:10.3969/j.issn.1002-6819.2012.18.037
可见/近红外光谱结合遗传算法无损检测牛肉 pH 值
Nondestructive determination of pH value in beef using visible/near-infrared spectroscopy and genetic algorithm
摘要
Abstract
In order to realize nondestructive and rapid determination of beef pH stored at 4℃ during its whole shelf-life, a laboratory visible/near-infrared spectroscopy system using visible/near-infrared spectroscopy and genetic algorithm was built to collect 120 beef samples' reflectance spectra in the 400-1700nm. These samples were stored at 4℃ for l-18days. The reflectance spectra of samples were performed with different pretreatments, such as multiplicative scatter correction (MSC), Savitzky-Golay(SG) smoothing method. The prediction model of multiple linear regression (MLR), partial least squares regression(PLSR) and least square-support vector machine(LS-SVM) were constructed for prediction of pH value in beef with full-spectrum and effective wavelengths selected by genetic algorithm(GA), respectively. The results showed that the MSC combined with SG smoothing was the best pretreatment, and the performance of models established with effective wavelengths selected by GA were better than the full-spectrum models, and the best performance was achieved by LS-SVM model, its correlation coefficient and standard deviation were 0.935 and 0.111, respectively. The prediction accuracy was improved. This study demonstrated that the LS-SVM model built by using visible/near- infrared spectroscopy with GA could nondestructively and rapidly determine pH value in beef during its whole shelf-life. This research provides a basis of further developing device for nondestructive and rapid determine pH value in beef.关键词
无损检测/遗传算法/pH/近红外光谱/可见光谱/牛肉Key words
nondestructive examination/ genetic algorithms/ pH/ near infrared spectroscopy/ visible spectrum/ beef分类
农业科技引用本文复制引用
马世榜,汤修映,徐杨,彭彦昆,田潇瑜,付姓..可见/近红外光谱结合遗传算法无损检测牛肉 pH 值[J].农业工程学报,2012,28(18):263-268,6.基金项目
公益性行业(农业)科研经费资助项目(201003008) （农业）
