On-Vine Monitoring of Grape Ripening Using Near-Infrared Spectroscopy
On-Vine Monitoring of Grape Ripening Using Near-Infrared Spectroscopy
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DOI：
10.1007/s12161-012-9389-3
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发表时间：
2012-12-01
影响因子：
2.9
通讯作者：
Perez-Marin, Dolores
中科院分区：
文献类型：
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作者：
Gonzalez-Caballero, Virginia;Sanchez, Maria-Teresa;Perez-Marin, Dolores
这项研究评估了近红外(NIR)光谱表征白葡萄和红葡萄在葡萄上成熟过程中的行为的能力，作为葡萄在串中的位置(高、中、低)和串方向(北、南、东、西)的函数，并区分不同的成熟阶段，以期根据葡萄品种和要酿造的葡萄酒的类型来优化采摘时间。共24串两个酿酒葡萄品种(cv.Pedro Xim，nez和cv.赤霞珠)直接在葡萄上贴上标签，并使用商用手持式微型机电系统分光光度计(1,600-2,400 nm)进行分析。通过主成分分析研究了不同构型(葡萄的位置和成束方向)、成熟阶段和光谱数据之间的关系。对白葡萄品种的结果表明，在成熟过程中，位于高位的葡萄与位于中部或低位的葡萄不同，朝东的葡萄的表现与其他葡萄不同。对两个品种的波束光谱特征进行分析，可以区分出三个成熟阶段：早、中、晚。随后，通过偏最小二乘判别分析评估了近红外技术对酿酒葡萄进行分类的能力，以期优化采收时间：88%的白葡萄和88%的红葡萄被正确分类，而超过79%的样本被正确地分配到代表类别。这些结果证实了1,600-2,400 nm光谱范围内的近红外技术是对葡萄成熟过程进行在线监测的合适技术，可以根据要酿造的葡萄酒类型进行选择性收获。
This study evaluated the ability of near-infrared (NIR) spectroscopy to characterise the behaviour of white and red grapes during on-vine ripening, as a function of grape position in the bunch (high, middle and low) and bunch orientation (north, south, east and west) and to distinguish between different ripening stages with a view to optimising harvesting times depending on the grape variety and the type of wine to be made. A total of 24 bunches of two wine-grape varieties (cv. Pedro Xim,nez and cv. Cabernet Sauvignon) were labelled and analysed directly on the vine using a commercially available handheld micro-electro-mechanical system spectrophotometer (1,600-2,400 nm). Principal component analysis was performed to study relationships between the various configurations (grape position and bunch orientation), ripening stages and spectral data. Results for the white-grape variety showed that grapes high on the bunch behaved differently during ripening from those in central or low positions and that east-facing bunches behaved differently from the rest. For both varieties, analysis of bunch spectral characteristics enabled three stages of ripening to be distinguished: early, middle and late. Subsequently, the ability of NIR technology to classify wine grapes as a function of reducing-sugar content, with a view to optimising harvest timing, was evaluated by partial least squares discriminant analysis: 88 % of white grapes and 88 % of red grapes were correctly classified while over 79 % of samples were correctly assigned to representative groups. These results confirmed that NIR technology in the spectral range 1,600-2,400 nm is an appropriate technique for on-vine monitoring of the ripening process, enabling selective harvesting depending on the type of wine to be made.