苹果糖分含量的近红外漫反射检测研究

应用近红外漫反射技术探讨水果糖分含量检测方法并建立其光谱漫反射测量系统,重点对0,2,4 mm和6 mm 4种不同测量距离对苹果糖分含量无损检测的影响分析.试验结果为:当光纤贴紧苹果表面(0 mm测量距离)时建立的校正方程对未知样品的预测效果最好.利用主成分回归多元校正技术,建立在0 mm时红富士苹果样品糖分含量的预测数学模型,其样品预测值和实测值之间的相关系数为0.844,标准校正误差(SEC)为0.729,标准预测误差(SEP)为0.864,偏差(Bias)为0.318.通过本次试验研究表明,应用近红外光谱漫反射技术进行苹果糖分含量无损检测具有可行性,并得到了较为满意的预测效果.

Sugar content prediction of apples with near infrared diffuse reflectance technique

The nondestructive method and system for predicting fruit sugar content with near infrared diffuse reflectance technique were explored. The influence of different testing distances on measuring accuracy of sugar content (SC) of Fuji apples was discussed. Diffuse reflectance spectra were measured in the spectral range from 12500 to 4000 cm^-1 at four different testing distances of 0 mm, 2 mm, 4 mm and 6 mm. Principal component regression (PCR) analysis was used to develop the calibration models between the original spectral data and measured SC. The results showed that the best distance for measuring sugar content was about at 0 mm, and the calibration model was set up at this distance. The calibration model gave the correlation coefficient of 0.844, with a standard error of calibration of 0.729, a standard error of prediction of 0.864, and a bias of 0.318. The study shows that the near infrared diffuse reflectance technique was feasible to nondestructively measure the sugar content of apple.