食品科学2016，Vol.37Issue(20)：134-140,7.DOI:10.7506/spkx1002-6630-201620022
基于中波近红外光谱构建生鲜鸡肉胆固醇定量分析模型
Establishment of Quantitative Analysis Model of Chicken Cholesterol Based on Medium-Wavelength Near-Infrared Spectroscopy
摘要
Abstract
In this research spectral information for commercially available chicken breast samples was extracted in the medium wavelength region of near-infrared (NIR) and used for establishing a quantitative analysis model of cholesterol concentration using partial least squares (PLS) regression, and the prediction accuracy of the model was analyzed. The modeling was investigated with respect to outlier elimination and optimized combined use of various spectral preprocessing methods. The optimum quantitative analysis model was achieved with two cycles of outlier elimination and the combined use of SG first derivative, SG smoothing and De-trending for spectral preprocessing. The model parameters standard error of calibration (SEC), correlation coefifcient of calibration set (Rc), standard error of prediction (SEP), correlation coefifcient of validation set(Rp), ratio of performance to standard deviate (RPD), relative standard error of prediction (RSEP), the number of principal factors (PF) and SEP/SEC were 4.534 8, 0.919 7, 7.437 5, 0.812 0, 2.844 7, 9.44%, 5, and 1.640 1, respectively. The experimental results showed that the model had better prediction accuracy in test set (P> 0.05), especially in the range of 60–100 mg/100 g, and could be applied to analyze the cholesterol concentration of commercially available fresh chicken and chicken products.关键词
近红外光谱/中波区/生鲜鸡肉/胆固醇/定量分析Key words
near-infrared spectroscopy/medium wavelength region/fresh chicken/cholesterol concentration/quantitative analysis分类
化学化工引用本文复制引用
王辉,田寒友,张顺亮,邹昊,刘飞,李文采,李家鹏,陈文华,乔晓玲..基于中波近红外光谱构建生鲜鸡肉胆固醇定量分析模型[J].食品科学,2016,37(20):134-140,7.基金项目
“十二五”国家科技支撑计划项目 （）
