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Food Chem


Title:Detection and prediction of Botrytis cinerea infection levels in wine grapes using volatile analysis
Author(s):Jiang L; Qiu Y; Dumlao MC; Donald WA; Steel CC; Schmidtke LM;
Address:"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. Gulbali Institute, Charles Sturt University, Wagga Wagga, New South Wales 2678, Australia. 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. School of Chemistry, Faculty of Science, University of New South Wales (Sydney), New South Wales 2052, Australia. 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: lschmidtke@csu.edu.au"
Journal Title:Food Chem
Year:2023
Volume:20230411
Issue:
Page Number:136120 -
DOI: 10.1016/j.foodchem.2023.136120
ISSN/ISBN:1873-7072 (Electronic) 0308-8146 (Linking)
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 (Q(2)Y 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:*Vitis/microbiology *Wine/analysis Botrytis *Volatile Organic Compounds/analysis Fruit/chemistry Crop quality Fungal detection Grape disease Spme-gc-ms Viticulture Wine quality;
Notes:"MedlineJiang, Liang Qiu, Yu Dumlao, Morphy C Donald, William A Steel, Christopher C Schmidtke, Leigh M eng England 2023/04/26 Food Chem. 2023 Sep 30; 421:136120. doi: 10.1016/j.foodchem.2023.136120. Epub 2023 Apr 11"

 
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