新鲜苹果汁可溶性固形物含量的傅里叶变换近红外光谱检测

Estimation of Soluble Solids Content of Apple Fresh Juice by FTNIR Spectroscopy

用傅里叶变换近红外(FTNIR)光谱透射方式对新鲜苹果汁溶性固形物含量(SSC)进行了快速定量分析。实验共测定了60个果汁样品的SSC,并采集了样品的近红外光谱数据。42个样品用来建模,剩下的18个用来验证模型的性能。对实验室测得的SSC与FTNIR光谱数据进行相关性分析,以TQ 6.2.1定量分析软件中集成的主成分回归法(PCR)和偏最小二乘回归法(PLS)建立了检测模型。该研究对比了不同光谱范围内建立的检测模型的性能。根据预测平方根误差(RMSEP)和相关系数(r2)进行不同模型的预测性能,最好的新鲜苹果汁SSC预测模型的RMSEP=0.6030Brix,r2=0.997。结果表明FT-NIR可以作为一种可靠、准确、快速的无损检测方法来评价新鲜果汁的可溶性固形物含量。

The feasibility of Fourier transform near infrared （FTNIR） spectroscopic technology for rapid quantifying the soluble solids content （SSC） of apple fresh juice was investigated by means of spectral transmittance technique. A total of 60 juice sampies were used to develop the calibration models. The relationship between laboratory SSC and FTNIR spectra of apple fresh juices was analyzed via principal component regression （PCR） and partial least squares （PLS） regression method using TQ 6. 2. 1 quantitative software. Models based on different spectral ranges were compared. Performance of different models was assessed in terms of root mean square errors of prediction （RMSEP） and correlation coefficients （r^2） of validation set of samples. The best prediction models had a RMSEP of 0. 603 ^0Brix and correlation coefficient （r^2） of 0. 997 for SSC. The results show that FTNIR transmittance technique is a feasible, accurate and fast method for non-invasive estimation of fruit fresh juice soluble solids content.