Rapid Method for Faults Detection in Beer Using a Low-Cost Electronic Nose and Machine Learning Modelling
Beer is susceptible to developing different faults (off-flavours/off-aromas) due to its main ingredients and variability in the conditions within the production stages and storage; this is especially challenging for craft breweries. Therefore, it is important to develop novel, rapid, and non-destruc...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
|
| Series: | Biology and Life Sciences Forum |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9976/6/1/46 |