| 基于高光谱成像技术和连续投影算法检测葡萄果皮花色苷含量 |
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| 引用本文： | 吴迪,宁纪锋,刘旭,梁曼,杨蜀秦,张振文.基于高光谱成像技术和连续投影算法检测葡萄果皮花色苷含量[J].食品科学,2014,35(8):57-61. |
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| 作者姓名： | 吴迪 宁纪锋 刘旭 梁曼 杨蜀秦 张振文 |
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| 作者单位： | 1.西北农林科技大学信息工程学院，陕西 杨凌 712100；2.西北农林科技大学葡萄酒学院，陕西 杨凌 712100；;
3.陕西省葡萄与葡萄酒工程中心，陕西 杨凌 712100；4.西北农林科技大学机械与电子工程学院，陕西 杨凌 712100 |
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| 基金项目： | 国家自然科学基金面上项目(61003151);国家现代农业(葡萄)产业技术体系建设专项(CARS-30-02A);中央高校基本科研业务费专项资金项目(QN2011099;QN2013062;QN2013055) |
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| 摘 要： | 应用高光谱成像技术结合连续投影算法(SPA)实现葡萄果皮中花色苷含量的快速无损检测。采集60组样本高光谱图像,获取样本光谱曲线,并采用多元散射校正预处理方法提高信噪比。然后采用SPA选择光谱变量,将其作为多元线性回归(MLR)、偏最小二乘(PLS)模型和BP神经网络(BPNN)的输入变量,分别建立SPAMLR、SPA-PLS和SPA-BPNN模型并与全光谱变量PLS模型相比较。结果表明,SPA-MLR、SPA-BPNN和SPA-PLS模型的预测精度均优于全光谱变量PLS模型,其中SPA-PLS模型获得了最佳预测结果,其预测相关系数Rp和预测均方根误差(RMSEP)分别为0.900 0和0.550 6。结果表明,利用近红外高光谱成像技术能够有效检测酿酒葡萄果皮中花色苷含量。
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| 关 键 词： | 酿酒葡萄 花色苷 高光谱图像 连续投影法 偏最小二乘法 |
Determination of Anthocyanin Content in Grape Skins Using Hyperspectral Imaging Technique and Successive Projections Algorithm |
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| WU Di,NING Ji-feng,LIU Xu,LIANG Man,YANG Shu-qin,ZHANG Zhen-wen.Determination of Anthocyanin Content in Grape Skins Using Hyperspectral Imaging Technique and Successive Projections Algorithm[J].Food Science,2014,35(8):57-61. |
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| Authors: | WU Di NING Ji-feng LIU Xu LIANG Man YANG Shu-qin ZHANG Zhen-wen |
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| Affiliation: | 1. College of Information Engineering, Northwest A & F University, Yangling 712100, China;
2. College of Enology, Northwest A & F University, Yangling 712100, China;
3. Shaanxi Engineering Research Center for Viti-Viniculture, Yangling 712100, China;
4. College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling 712100, China |
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| Abstract: | This work aimed to determine the anthocyanin content in grape skins based on hyperspectral imaging
technology in combination with successive projections algorithm (SPA). Cabernet Sauvignon (Vitis vinifera L.) grape berries
from Shaanxi province were used as experimental materials. Hyperspectral images of 60 groups of grape samples were
collected by near infrared hyperspectral camera and the anthocyanin contents in these samples were detected. Multiplicative
scatter correction was used to improve the signal-to-noise ratio (SNR). Moreover, SPA was applied for the extraction of
effective wavelengths (EWs), which showed least collinearity and redundancies in the spectral data. The selected effective
wavelengths were used as the inputs of multiple linear regression (MLR), partial least squares (PLS) and BP neural network
(BPNN). Then SPA-MLR, SPA-PLS and SPA-BPNN models were developed and compared with full-spectrum-PLS
model. It was shown that SPA-MLR, SPA-PLS and SPA-BPNN models were better than full-spectrum-PLS model. The
best performance was achieved by SPA-PLS model with Rp of 0.900 0 and RMSEP of 0.550 6. These results indicate that
anthocyanin contents in grape skins could be measured effectively by using near infrared hyperspectral imaging. |
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| Keywords: | winegrape anthocyanin hyperspectral image successive projections algorithm (SPA) partial least squares (PLS) |
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