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Original Articles

Automated optical grape-sorting of rotten grapes: effects of rot infections on gluconic acid concentrations and glycerol/gluconic acid ratios in must and wine

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Pages 18-28 | Received 20 Feb 2014, Accepted 27 Nov 2014, Published online: 06 Jan 2015
 

Abstract

An increasing influence of climate change on grape and wine quality, identified by higher rot infections, could be observed in the last years in some northern wine-growing regions of Europe. Therefore, an innovative possibility of grape-sorting by an automated optical system was tested for quality control and quality improvement of wine. Different grape varieties from the Mosel wine region were sorted concerning rot, especially Botrytis cinerea, in the years 2010 and 2011. The resulting fractions were analysed for gluconic acid because higher contents are considered as an indicator for Botrytis infection. Highest concentrations were determined in the negative fractions with rotten berries and lowest concentrations in the positive fractions with healthy berries. Furthermore, glycerol was determined to assess the stage of the Botrytis infection via the glycerol/gluconic acid ratio. A lower ratio represents an advanced development of the rot and is considered as an indicator of a high degree of ‘unwanted’ grey mould. Despite the higher rot contamination in 2010, the results of the glycerol/gluconic acid ratios show that the Botrytis fungus developed towards noble rot in 2010 compared to 2011. In this study, automated optical grape-sorting was successful concerning rot as sorting factor and provides an innovative possibility for a more effective quality control and quality improvement during winemaking.

Disclosure statement

No potential conflict of interest was reported by the authors.

Funding

The project was supported by funds from the Federal Ministry of Food, Agriculture and Consumer Protection (BMELV) based on a decision of the Parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the innovation support programme [PG I-06.01-28-1-44.010-08].

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