In-Plant Assessment of Peruvian Pisco Distillates Using Infrared Sensing Technologies
= 0.93-1.00) and low errors of prediction (RMSEP) in quantifying 6 key quality components (ethanol, methanol, acetaldehyde, acetic acid, furfural, and titratable acidity). This approach offers a scalable alternative to conventional empirical methods, enabling distilleries to make precise distillation cuts, reduce production costs, and ensure consistent product quality. This is the first report of a portable FT-IR system capable of in-line monitoring of key quality parameters in the spirit distilleries.
Authors
- B. A. Hatta-Sakoda
- Victor Hugo Toledo-Herrera
- Luis Rodriguez-Saona
- Jorge Mellado Carretero
Institutions
- Institute of Food Science & Technology (GB)
- Rede de Química e Tecnologia (PT)
- Universitat Rovira i Virgili (ES)
- Universidad Nacional Agraria La Molina (PE)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1021/acs.jafc.5c14436
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ohio State University
- Universitat Rovira i Virgili
- Universidad Nacional Agraria La Molina