Research Paper

Digital smoke taint detection in Pinot Grigio wines using an e-nose and machine learning algorithms following treatment with activated carbon and a cleaving enzyme

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Title
Digital smoke taint detection in Pinot Grigio wines using an e-nose and machine learning algorithms following treatment with activated carbon and a cleaving enzyme
Content partner
Lincoln University
Collection
Lincoln University Research Archive
Description

The incidence and intensity of bushfires is increasing due to climate change, resulting in a greater risk of smoke taint development in wine. In this study, smoke-tainted and non-smoke-tainted wines were subjected to treatments using activated carbon with/without the addition of a cleaving enzyme treatment to hydrolyze glycoconjugates. Chemical measurements and volatile aroma compounds were assessed for each treatment, with the two smoke taint amelioration treatments exhibiting lower mean val...

Format
Research Paper
Research format
Journal article
Date created
2021-09
Creator
Summerson, Vasiliki / Gonzalez Viejo, Claudia / Torrico, Damir / Pang, Alexis / Fuentes, Sigfredo
URL
https://hdl.handle.net/10182/14125
Related subjects
artificial neural networks / bushfires / climate change / glycoconjugates / volatile phenols / Beverage chemistry and beverage sensory science / Oenology and viticulture / Climate change science not elsewhere classified / Modelling and simulation / Industrial biotechnology

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