2. Academic Validation
  3. Detection and prediction of Botrytis cinerea infection levels in wine grapes using volatile analysis

Detection and prediction of Botrytis cinerea infection levels in wine grapes using volatile analysis

  • Food Chem. 2023 Sep 30:421:136120. doi: 10.1016/j.foodchem.2023.136120.
Liang Jiang 1,  Yu Qiu 2,  Morphy C Dumlao 3,  William A Donald 4,  Christopher C Steel 1,  Leigh M Schmidtke 5
Affiliations

Affiliations

  • 1 Gulbali Institute, Charles Sturt University, Wagga Wagga, New South Wales 2678, Australia; School of Agricultural, Environmental and Veterinary Science, Faculty of Science, Charles Sturt University, Wagga Wagga, New South Wales 2678, Australia.
  • 2 Gulbali Institute, Charles Sturt University, Wagga Wagga, New South Wales 2678, Australia.
  • 3 Gulbali Institute, Charles Sturt University, Wagga Wagga, New South Wales 2678, Australia; The Australian Research Council Training Centre for Innovative Wine Production, University of Adelaide (Waite Campus), South Australia 5064, Australia; School of Chemistry, Faculty of Science, University of New South Wales (Sydney), New South Wales 2052, Australia.
  • 4 School of Chemistry, Faculty of Science, University of New South Wales (Sydney), New South Wales 2052, Australia.
  • 5 Gulbali Institute, Charles Sturt University, Wagga Wagga, New South Wales 2678, Australia; School of Agricultural, Environmental and Veterinary Science, Faculty of Science, Charles Sturt University, Wagga Wagga, New South Wales 2678, Australia. Electronic address: [email protected].
PMID: 37098308 DOI: 10.1016/j.foodchem.2023.136120
Abstract

Infection of grape berries (Vitis vinifera) by the fungus Botrytis cinerea (grey mould) frequently occurs in vineyards, resulting in off-flavours and Other odours in wine and potential yield losses. In this study, volatile profiles of four naturally infected grape cultivars, and laboratory-infected grapes were analysed to identify potential markers for B. cinerea Infection. Selected volatile organic compounds (VOCs) were highly correlated with two independent measures of B. cinerea Infection levels, demonstrating that ergosterol measurements provide accurate quantification of lab-inoculated samples, while B. cinerea antigen detection is more suitable for naturally infected grapes. Excellent predictive models of Infection level were confirmed (Q2Y of 0.784-0.959) using selected VOCs. A time course experiment confirmed that selected VOCs 1,5-dimethyltetralin, 1,5-dimethylnaphthalene, phenylethyl alcohol and 3-octanol are good markers for B. cinerea quantification and 2-octen-1-ol could be considered as an early marker of the Infection.

Keywords

Crop quality; Fungal detection; Grape disease; SPME-GC–MS; Viticulture; Wine quality.

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