近红外光谱技术快速检测狭鳕水分、脂肪和蛋白质的含量

采集63个具有代表性的狭鳕鱼样品,通过拟合狭鳕鱼鱼肉的近红外漫反射光谱与水分、脂肪和蛋白质的含量,建立近红外定量分析模型。采用偏最小二乘法(PLA)进行拟合,应用内部交叉检验的方法进行检验与验证,同时用不同光谱预处理方法和主因子数对光谱进行比较分析,得出最佳预处理方法和主因子数。水分、脂肪和蛋白质的模型相关系数分别达到0.9342、0.8125、0.9113,相对分析误差(RPD)达到3.4、2.3、3.1。结果表明水分、脂肪和蛋白质的近红外模型具有较好的准确性和稳定性,能够达到快速无损测定狭鳕水分、脂肪和蛋白质的目的。 

Near-Infrared spectroscopy for rapid determination of moisture,fat and protein content of Pollock

The Sixty-three representative Pollock fish samples were collected, in order to establish a near-infrared quantitative analysis model by fitting the pollock fish near infrared diffuse reflectance spectra of water, fat and protein content. The fitting was conducted by Partial Least Squares (PLA) , verified by the internal cross-validation method, compared and analyzed with different pretreatment methods and main factor of the spectrum. The optimum pretreatment method and the main factor were obtained. The correlation coefficients of models of water, fat and protein were 0. 9342, 0. 8125 and 0. 9113, with RPD of 3. 4, 2. 3 and 3. 1 respectively. Results showed that the near-infrared models of water, fat and protein were of high accuracy and stability, which could determine the content of water, fat and protein rapidly without destruction.