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基于可见/近红外光谱分析技术的猪肉肉糜品质检测研究
作者姓名:Fan YX  Liao YT  Cheng F
作者单位:浙江大学生物系统工程与食品科学学院,浙江杭州,310029
基金项目:国家(863计划)高技术研究发展计划项目(2007AA10Z215); 浙江省自然科学基金项目(Y307441)资助
摘    要:以225个猪肉肉糜样本为研究对象,利用可见/近红外光谱分析技术对猪肉肉糜主要品质指标的的快速检测进行了研究.光谱经小波去噪后,采用偏最小二乘法和支持向量机定量分析方法分别建立了肉糜中肌内脂肪、蛋白质和水分含量的可见/近红外光谱预测模型.其中,肌内脂肪的支持向量机定量预测模型最优,校正相关系数rcal和预测相关系数rva...

关 键 词:猪肉肉糜  可见/近红外光谱  小波变换  偏最小二乘回归  支持向量机

Prediction of minced pork quality attributes using visible and near infrared reflectance spectroscopy
Fan YX,Liao YT,Cheng F.Prediction of minced pork quality attributes using visible and near infrared reflectance spectroscopy[J].Spectroscopy and Spectral Analysis,2011,31(10):2734-2737.
Authors:Fan Yu-Xia  Liao Yi-Tao  Cheng Fang
Institution:FAN Yu-xia,LIAO Yi-tao,CHENG Fang*College of Biosystem Engineering and Food Science,Zhejiang University,Hangzhou 310029,China
Abstract:The objective of the present study was to estimate minced pork meat quality using visible and near infrared(Vis-NIR) spectroscopy.Two hundred twenty five carcasses samples from longissimus dorsi muscle were scanned over the Vis-NIR spectral range from 350 to 1 015 nm and analysed for intramuscular fat(IMF),protein and moisture according to the official methods.Wavelet transform was employed to eliminate the spectra noise.Partial least square regression(PLSR) and support vector machine(SVM) were used to deve...
Keywords:Minced pork  Visible/near infrared spectroscopy(Vis-NIR)  Wavelet transform  Partial least squares regression(PLSR)  Support vector machine(SVM)  
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