Quantification of Wine Mixtures with an Electronic Nose and a Human Panel-Reference-Cited by-同舟云学术

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Quantification of Wine Mixtures with an Electronic Nose and a Human Panel

Published:2018-02-12 Issue: Volume:6 Page:
ISSN:2296-4185
Container-title:Frontiers in Bioengineering and Biotechnology
language:
Short-container-title:Front. Bioeng. Biotechnol.

Author:

Aleixandre Manuel,Cabellos Juan M.,Arroyo Teresa,Horrillo M. C.

Funder

Consejo Superior de Investigaciones Científicas

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

Reference19 articles.

1. Portable e-nose to classify different kinds of wine;Aleixandre;Sens. Actuators B Chem.,2008

2. A wireless and portable electronic nose to differentiate musts of different ripeness degree and grape varieties;Aleixandre;Sensors (Basel),2015

3. Evaluation of wine aromatic compounds by a sensory human panel and an electronic nose;Arroyo;J. Agric. Food Chem.,2009

4. Perceptual interactions in odour mixtures: odour quality in binary mixtures of woody and fruity wine odorants;Atanasova;Chem. Senses,2005

5. Application of metalloporphyrins-based gas and liquid sensor arrays to the analysis of red wine;Di Natale;Anal. Chim. Acta,2004

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1. Recent Advances and Future Perspectives in the E-Nose Technologies Addressed to the Wine Industry;Sensors;2024-04-04

2. Wine quality assessment through lightweight deep learning: integrating 1D-CNN and LSTM for analyzing electronic nose VOCs signals;Applied Computing and Informatics;2024-03-01

3. Can the machine smell? The problem of the universal olfactory dictionary;Philosophical Problems of IT & Cyberspace (PhilIT&C);2023-06-26

4. A Novel Custom Deep Learning Network Combining 1D-Convolution and LSTM for Rapid Wine Quality Detection in Small and Average-Scale Applications;Intelligence of Things: Technologies and Applications;2023

5. Classifying Red Wines based on Neural Networks with Two Kinds of Data Patterns of MOX Gas Sensor Before and After their Injection;The Journal of Korean Institute of Information Technology;2022-04-30

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