Prediction of Barley Malt Qualities Using ATR-FTIR and Automated Multivariate Regression Models
Abstract
The combination of automated regression models and ATR-FTIR barley malt analysis offers a fast and cost-effective method for predicting barley quality properties, which is crucial for producing high-grade beverages.
Keywords:
Chemistry, Chemometrics, Infrared Spectroscopy
Status
Graduate
Department
Chemistry & Biochemistry
College
College of Arts and Sciences
Campus
Athens
Faculty Mentor
Harrington, Peter
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Prediction of Barley Malt Qualities Using ATR-FTIR and Automated Multivariate Regression Models
The combination of automated regression models and ATR-FTIR barley malt analysis offers a fast and cost-effective method for predicting barley quality properties, which is crucial for producing high-grade beverages.