NIR spectroscopy coupled with multivariate computational tools for qualitative characterization of the aging of beer
GramSchmidt supervised orthogonalization (SELECT) and Genetic Algorithms (GA) were employed. Application of NIR spectroscopy is feasible to aged beer discrimination. Chemometric techniques showed good results. On line NIR system could play a key role in the production automation of beer in brewery.
spectroscopy genetic algorithms chemometrics food quality near infrared artificial intelligence