The Grape Health Index: Validation of a Chemometric Model for Quantifying the Wine Grape Infection Status

Accurately evaluating and quantifying microbial spoilage on wine grapes is a major challenge, especially in machine-harvested fruit that is no longer intact as a cluster when it arrives at the winery and cannot be visually inspected. The goal of the study was, using an infrared spectroscopy-based analytical system, to establish a unitless quantitative number that would reflect complex microbial spoilage and could be applied for all types of grapes with only one calibration model. Grapes (cultivars Riesling, Chenin Blanc, Chardonnay, Zinfandel and Petite Sirah) were hand-harvested in two consecutive vintages and separated in the vineyard into visually healthy clusters and infected grapes. Grapes were blended with increasing infection levels between 0 and 20% and models were created using known spoilage indicators. The resulting formula can be used to calculate a weighted index that reflects the microbial infection status of the grape material. Using a common spectroscopy instrument that is already present in larger wineries, the Grape Health Index allows for a quantitative quality assessment within two minutes at the test stand before the grape material is accepted. When visual inspection is not an option, this can help to make data-based quality and blending decisions at a very early stage.

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Publication Details

Journal
Beverages
Published
2025-11-03
DOI
https://doi.org/10.3390/beverages11060156
Primary Topic
Listeria monocytogenes in Food Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

The Grape Health Index: Validation of a Chemometric Model for Quantifying the Wine Grape Infection Status

Sonet Van Zyl, Stephan Sommer, Steven Craig Ebersole
Beverages
Listeria monocytogenes in Food Safety
article

The Grape Health Index: Validation of a Chemometric Model for Quantifying the Wine Grape Infection Status

Sonet Van Zyl, Stephan Sommer, Steven Craig Ebersole
article en

Abstract

Accurately evaluating and quantifying microbial spoilage on wine grapes is a major challenge, especially in machine-harvested fruit that is no longer intact as a cluster when it arrives at the winery and cannot be visually inspected. The goal of the study was, using an infrared spectroscopy-based analytical system, to establish a unitless quantitative number that would reflect complex microbial spoilage and could be applied for all types of grapes with only one calibration model. Grapes (cultivars Riesling, Chenin Blanc, Chardonnay, Zinfandel and Petite Sirah) were hand-harvested in two consecutive vintages and separated in the vineyard into visually healthy clusters and infected grapes. Grapes were blended with increasing infection levels between 0 and 20% and models were created using known spoilage indicators. The resulting formula can be used to calculate a weighted index that reflects the microbial infection status of the grape material. Using a common spectroscopy instrument that is already present in larger wineries, the Grape Health Index allows for a quantitative quality assessment within two minutes at the test stand before the grape material is accepted. When visual inspection is not an option, this can help to make data-based quality and blending decisions at a very early stage.

BeveragesVol. 11(6)
California State University, Fresno (US), University of Missouri (US), Columbia College - Missouri (US)
California State University, Fresno
Openalex Percentile: Top 66%
Listeria monocytogenes in Food Safety
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