中文摘要：

研究了应用可见-近红外漫反射光谱技术快速检测赣南脐橙可溶性固形物的方法。以40个赣南脐橙为标准样本，利用漫反射光谱测定法获取完整赣南脐橙的可见一近红外光光谱（350～2500nm），采用多种光谱校正算法，选取不同的光谱波段范围对水果样本的漫反射二阶光谱进行有效信息的提取和分析，并结合偏最小二乘法和主成分回归等定量校正方法，建立了赣南脐橙可溶性固形物的定量数学模型。实验结果为：在361～2488nm波段范围内，偏最小二乘法校正模型的预测精度最好，校正模型的相关系数为0．929，校正标准偏差和预测标准偏差分别为0．517，0．592，其预测集样本的预测值与真实值的相关系数为0．791。实验结果表明：应用近红外漫反射技术对赣南脐橙可溶性固形物的快速无损检测具有可行性。

英文摘要：

The potential of using visible and near infrared diffuse reflectance spectroscopy to assess soluble solids content （SSC） of intact navel orange was examined. A total 40 samples were used to develop the calibration and prediction models. NIR spectral data were collected in the spectral region between 350 and 2 500 nm and their second derivative spectra were used for the present study. Different scattering correction algorithms （no preprocessing and multiplicative scattering correction （MSC） were compared. Camibration models based on different spectral ranges, different derivatives and different kinds of statistical models including partial least square （PLS） and principal component regression （PCR） were also compared. The best results of PLS models with the second derivative spectra are r=0. 929, RMSEC=0. 517 and RMSEP=0. 592 in the wavelength range of 361-2 488 nm. The results show that this method is feasible for non destructive assessing of SSC of the navel orange.