Volatile-Based Prediction of Sauvignon Blanc Quality Gradings with Static Headspace–Gas Chromatography–Ion Mobility Spectrometry (SHS–GC–IMS) and Interpretable Machine Learning Techniques-Reference-Cited by-同舟云学术

Volatile-Based Prediction of Sauvignon Blanc Quality Gradings with Static Headspace–Gas Chromatography–Ion Mobility Spectrometry (SHS–GC–IMS) and Interpretable Machine Learning Techniques

Published:2021-03-04 Issue:10 Volume:69 Page:3255-3265
ISSN:0021-8561
Container-title:Journal of Agricultural and Food Chemistry
language:en
Short-container-title:J. Agric. Food Chem.

Author:

Zhu Wenyao¹²^ORCID,Benkwitz Frank²,Kilmartin Paul A.¹^ORCID

Affiliation:

1. Wine Science Programme, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand

2. Drylands Winery, Constellation Brands NZ, 237 Hammerichs Road, Blenheim 7273, New Zealand

Funder

Callaghan Innovation

Publisher

American Chemical Society (ACS)

Subject

General Agricultural and Biological Sciences,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.0c07899

Reference50 articles.

1. The distinctive flavour of New Zealand Sauvignon blanc: Sensory characterisation by wine professionals

2. A comprehensive review on Sauvignon blanc aroma with a focus on certain positive volatile thiols

3. Indications of the prominent role of elemental sulfur in the formation of the varietal thiol 3-mercaptohexanol in Sauvignon blanc wine

4. Subregional survey of aroma compounds in Marlborough Sauvignon Blanc wines

5. Hydrolysis and formation of volatile esters in New Zealand Sauvignon blanc wine

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