Determination of total iron-reactive phenolics, anthocyanins and tannins in wine grapes of skins and seeds based on near-infrared hyperspectral imaging
Determination of total iron-reactive phenolics, anthocyanins and tannins in wine grapes of skins and seeds based on near-infrared hyperspectral imaging
复制标题
基于近红外高光谱成像的酿酒葡萄皮和籽中总铁反应酚、花青素和单宁的测定
DOI：
10.1016/j.foodchem.2017.06.007
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发表时间：
2017-12-15
期刊：
影响因子：
8.8
通讯作者：
Yanne, Paul
中科院分区：
文献类型：
--
作者：
Zhang, Ni;Liu, Xu;Yanne, Paul
酿酒葡萄中的酚类物质含量是评价葡萄成熟度的关键指标。探索了成熟过程中的近红外高光谱图像，以实现预测酚类物质含量的有效方法。分别建立了主成分回归模型、偏最小二乘回归模型和支持向量回归模型。结果表明，除了在预测种子单宁含量方面，SVR在整体上优于PLSR和PCR法。最佳预测结果为：果皮中单宁的相关系数和均方根误差分别为0.8960和0.1069 g/L(+)-儿茶素当量(CE)，果皮中总铁活性酚类化合物的相关系数分别为0.9065和0.1776(g/L CE)，果皮中的花青素含量分别为0.8789和0.1442(g/L，M3G)，种子中单宁的相关系数和均方根误差分别为0.9243和0.2401(g/L CE)，种子中的TIRP分别为0.8790和0.5190(g/L CE)。结果表明，近红外高光谱成像技术在酿酒葡萄酚类物质的评价中具有良好的应用前景。(C)2017爱思唯尔有限公司。保留所有权利。
Phenolics contents in wine grapes are key indicators for assessing ripeness. Near-infrared hyperspectral images during ripening have been explored to achieve an effective method for predicting phenolics contents. Principal component regression (PCR), partial least squares regression (PLSR) and support vector regression (SVR) models were built, respectively. The results show that SVR behaves globally better than PLSR and PCR, except in predicting tannins content of seeds. For the best prediction results, the squared correlation coefficient and root mean square error reached 0.8960 and 0.1069 g/L (+)-catechin equivalents (CE), respectively, for tannins in skins, 0.9065 and 0.1776 (g/L CE) for total iron-reactive phenolics (TIRP) in skins, 0.8789 and 0.1442 (g/L M3G) for anthocyanins in skins, 0.9243 and 0.2401 (g/L CE) for tannins in seeds, and 0.8790 and 0.5190 (g/L CE) for TIRP in seeds. Our results indicated that NIR hyperspectral imaging has good prospects for evaluation of phenolics in wine grapes. (C) 2017 Elsevier Ltd. All rights reserved.