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基于可见/近红外漫反射光谱法对南丰蜜橘中维生素C的无损检测

[Nondestructive measurement of vitamin C in Nanfeng tangerine by visible/near-infrared diffuse reflectance spectroscopy].

作者信息

Liu Yan-de, Chen Xing-miao, Sun Xu-dong

机构信息

College of Engineering, Jiangxi Agricultural University, Nanchang 330045, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2008 Oct;28(10):2318-20.

PMID:19123397
Abstract

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 350-1800 nm, principal component analysis (PCA) and partial least squares (PLS) were used to build mathematic models with respect to pre-processing 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.

摘要

本文报道了利用可见/近红外(Vis/NIR)漫反射光谱技术对江西南丰蜜橘中维生素C进行无损检测的研究。在350 - 1800 nm波长范围内,采用主成分分析(PCA)和偏最小二乘法(PLS)对预处理后的光谱建立数学模型。基于全交叉验证和回归系数确定校准模型的主成分(PCs)和波长选择。对10个未知样品进行预测的结果显示,预测相关系数、预测均方根误差和预测偏差分别为0.813、2.112 mg(100 g)(-1)和 -0.810 mg(100 g)(-1)。本实验的分析方法和结论将为利用Vis/NIR漫反射光谱技术对南丰蜜橘中维生素C及其他品质指标进行无损检测提供一些参考价值。

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