江苏大学学报（自然科学版）2013，Vol.34Issue(1)：44-48,5.DOI:10.3969/j.issn.1671-7775.2013.01.009
可见/近红外光谱结合变量选择方法检测牛肉挥发性盐基氮
Detection of beef TVB-N by visible and near-infrared spectroscopy combined with variable selection method
摘要
Abstract
To realize rapid and non-destructive detection of total volatile basic nitrogen(TVB-N) content of fresh beef with improved detection accuracy throughout the storage period at 4 ℃ , a laboratory visible and near-infrared spectroscopy system was established to collect beef samples reflectance spectra between 400 and 1 700 nm. The beef samples were stored at 4 ℃ for 1 to 17 days. Multiplication scatter correction ( MSC ) , first derivative ( FD) , Szvitzky-Golay ( SG) smoothing method were used as pretreatment method for raw sample spectra. Combined with the effective wavelength variables extracted by uninforma-tive variable elimination ( UVE ) and successive projections algorithm ( SPA ) , the least square-support vector machine (LS-SVM) was proposed to predict beef TVB-N content. The results show that the SG is the best pretreatment method with reduced input variables by 99. 5% for UVE and SPA, and the proposed LS-SVM has good performance with Rv of 0.925 and Sc of 4.615 mg · (100 g) -1 Respectively.关键词
牛肉/可见/近红外光谱/变量选择/挥发性盐基氮/最小二乘支持向量机Key words
beef/visible and near-infrared spectroscopy/variable selection/total volatile basic nitrogen/least square-support vector machine分类
农业科技引用本文复制引用
马世榜,彭彦昆,徐杨,汤修映,田潇瑜..可见/近红外光谱结合变量选择方法检测牛肉挥发性盐基氮[J].江苏大学学报（自然科学版）,2013,34(1):44-48,5.基金项目
公益性行业(农业)科研专项经费资助项目(201003008) （农业）
