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中文摘要：
应用可见／近红外漫反射光谱对南丰蜜桔维生素C含量进行了无损检测研究。在谱区350-1800nm，应用主成分分析和偏最小二乘法对经过预处理光谱进行数学建模，主成分数和光谱区间选择分别由完全交互验证和回归系数法确定。定标模型对10个未知样品的预测结果是：预测相关系数为0．813，预测均方差为2．112mg（100g）^-1，预测偏差为-0．810mg（100g）^-1。文章表明利用可见／近红外漫反射光谱技术无损检测南丰蜜桔维生素C具有可行性。
英文摘要：
The present paper reports the study on visible/near-infrared （Vis/NIR） diffuse reflectance spectroscopy for nondestructive measurement of vitamin C in tangerine （Nanfeng, Jiangxi）. In the wavelength range of 350-1 800 nm, principal component analysis （PCA） and partial least squares （PLS） were used to build mathematic models with respect to pre-proeessing spectra. The principal components （PCs） and wavelength selection for calibration model were determined based on full cross validation and regression coefficients. The results, based on prediction for 10 unknown samples, are 0. 813, 2. 112 mg（100 g）^-1 and -0. 810 mg（100 g）^-1 for prediction correlation coefficient, root mean square error of prediction, and prediction deviation, respectively. The analysis methods and conclusions of this experiment will provide some reference values for non-destructive measurement of vitamin C and other quality indices in Nanfeng tangerine using Vis/NIR diffuse reflectance spectrometric technique.
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