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| 偏最小二乘近红外光谱法测定瘦肉脂肪酸组成的研究 | |
| 引用本文： | 罗香,刘波平,张小林,李桂生,秦华俊.偏最小二乘近红外光谱法测定瘦肉脂肪酸组成的研究[J].分析试验室,2007,26(10):25-29. |
| 作者姓名： | 罗香 刘波平 张小林 李桂生 秦华俊 |
| 作者单位： | 1. 南昌大学化学系,南昌,330047;江西省分析测试中心,南昌,330029 2. 江西省分析测试中心,南昌,330029;南京理工大学化工学院,南京,210094 3. 南昌大学化学系,南昌,330047 4. 江西省分析测试中心,南昌,330029 5. 南昌大学食品科学教育部重点实验室,南昌,330047 |
| 摘 要： | 利用偏最小二乘将瘦肉的近红外光谱数据分别与其棕榈酸、棕榈油酸、硬脂酸、油酸、亚油酸含量建立校正模型,并用交互校验和外部检验来考查模型的可靠性.各脂肪酸模型的校正相关系数分别为0.9998、0.9844、0.9963、0.9754、0.9969,均方估计残差(RMSEC)分别为0.0231、0.0485、0.111、0.373、0.311,交互校验均方残差(RMSECV)分别为0.509、0.115、0.225、0.848、0.649.应用所建立的各脂肪酸近红外模型对瘦肉脂肪酸组成进行预测,并对各脂肪酸的预测值与气相色谱法测定值进行配对t-检验,结果表明两者差异均不显著(p>0.05). |
| 关 键 词： | 近红外光谱 瘦肉 脂肪酸 偏最小二乘 |
| 文章编号： | 1000-0720（2007）10-025-05 |
| 修稿时间： | 2006-08-10 |
Study on the determination of fatty acids in pork by near infrared spectroscopy based on partial least squares model |
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| LUO Xiang,LIU Bo-ping,ZHANG Xiao-lin,LI Gui-sheng,QIN Hua-jun.Study on the determination of fatty acids in pork by near infrared spectroscopy based on partial least squares model[J].Chinese Journal of Analysis Laboratory,2007,26(10):25-29. | |
| Authors: | LUO Xiang LIU Bo-ping ZHANG Xiao-lin LI Gui-sheng QIN Hua-jun |
| Institution: | 1. Department of Chemistry, Nanehang University, Nanehang 330047; 2. Analytical and Testing Center of Jiangxi Province, Nanehang 330029; 3. College of Chemical Engineering, Nanjing University of Seienee and Technology, Nanjing 210094; 4. Key Laboratory of Food Science of MOE, Nanehang University, Nanehang 330047 |
| Abstract: | Partial least squares(PLS) prediction model for palmitic acid,palmitoleic acid,stearic acid,oleic acid,linoleic acid in pork had been established with good veracity.Reliability of the model were verified by cross-validation and external-validation.Predictive correlation coefficients of five fatty acids by each model are 0.9998,0.9844,0.9963,0.9754,and 0.9969.Root mean square error of calibration(RMSEC) is 0.0231,0.0485,0.111,0.373 and 0.311,respectively while root mean square error of cross validation(RMSECV) is 0.509,0.115,0.225,0.848 and 0.649.By paired samples test,the results of prediction were no significant difference compared with those of GC.The results show that PLS model using NIRS is a rapid,effective means for measuring fatty acids in pork. |
| Keywords: | Near infrared spectroscopy(NIRS) Pork fatty acid Partial least squares(PLS) |
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