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Schueuermann C, Steel CC, Blackman JW, et al. A GC-MS untargeted metabolomics approach for the classification of chemical differences in grape juices based on fungal pathogen. Food Chem. 2018;270:375-384doi: 10.1016/j.foodchem.2018.07.057.
Schueuermann, C., Steel, C. C., Blackman, J. W., Clark, A. C., Schwarz, L. J., Moraga, J., Collado, I. G., & Schmidtke, L. M. (2019). A GC-MS untargeted metabolomics approach for the classification of chemical differences in grape juices based on fungal pathogen. Food chemistry, 270375-384. https://doi.org/10.1016/j.foodchem.2018.07.057
Schueuermann, Claudia, et al. "A GC-MS untargeted metabolomics approach for the classification of chemical differences in grape juices based on fungal pathogen." Food chemistry vol. 270 (2019): 375-384. doi: https://doi.org/10.1016/j.foodchem.2018.07.057
Schueuermann C, Steel CC, Blackman JW, Clark AC, Schwarz LJ, Moraga J, Collado IG, Schmidtke LM. A GC-MS untargeted metabolomics approach for the classification of chemical differences in grape juices based on fungal pathogen. Food Chem. 2019 Jan 01;270:375-384. doi: 10.1016/j.foodchem.2018.07.057. Epub 2018 Jul 10. PMID: 30174061.
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Food Chem. 2019 Jan 01;270:375-384. doi: 10.1016/j.foodchem.2018.07.057. Epub 2018 Jul 10.

A GC-MS untargeted metabolomics approach for the classification of chemical differences in grape juices based on fungal pathogen.

Food chemistry

Claudia Schueuermann, Christopher C Steel, John W Blackman, Andrew C Clark, Lachlan J Schwarz, Javier Moraga, Isidro G Collado, Leigh M Schmidtke

Affiliations

  1. National Wine and Grape Industry Centre, School of Agricultural and Wine Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales 2678, Australia. Electronic address: [email protected].
  2. National Wine and Grape Industry Centre, School of Agricultural and Wine Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales 2678, Australia. Electronic address: [email protected].
  3. National Wine and Grape Industry Centre, School of Agricultural and Wine Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales 2678, Australia. Electronic address: [email protected].
  4. National Wine and Grape Industry Centre, School of Agricultural and Wine Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales 2678, Australia. Electronic address: [email protected].
  5. National Wine and Grape Industry Centre, School of Agricultural and Wine Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales 2678, Australia. Electronic address: [email protected].
  6. Departamento de Química Orgánica, Facultad de Ciencias, Universidad de Cádiz, 11510 Puerto Real, Cádiz, Spain. Electronic address: [email protected].
  7. Departamento de Química Orgánica, Facultad de Ciencias, Universidad de Cádiz, 11510 Puerto Real, Cádiz, Spain. Electronic address: [email protected].
  8. National Wine and Grape Industry Centre, School of Agricultural and Wine Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales 2678, Australia. Electronic address: [email protected].

PMID: 30174061 DOI: 10.1016/j.foodchem.2018.07.057

Abstract

Fungal bunch rot of grapes leads to production of detrimental flavour compounds, some of which are well characterised but others remain unidentified. The current study uses an untargeted metabolomics approach to classify volatile profiles of grape juices based on the presence of different fungal pathogens. Individual grape berries were inoculated with Botrytis cinerea, Penicillium expansum, Aspergillus niger or A. carbonarius. Grape bunches were inoculated and blended with healthy fruit, to provide 10% (w/w) infected juice. Juices from the above sample batches were analysed by GC/MS. PLS-DA of the normalised summed mass ions indicated sample classification according to pathogen. Compounds identified from those mass ion matrices that had high discriminative value for classification included 1,5-dimethylnaphthalene and several unidentified sesquiterpenes that were relatively higher in B. cinerea infected samples. A. niger and A. carbonarius samples were relatively higher in 2-(4-hexyl-2,5-dioxo-2,5-dihydrofuran-3-yl)acetic acid, while P. expansum samples were higher in γ-nonalactone and m-cresol.

Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords: 2-pentylfuran; Volatile; benzaldehyde; bunch rot; dimethyltetralin; eremophilen; metabolite; quality

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