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.

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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

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article

In-Plant Assessment of Peruvian Pisco Distillates Using Infrared Sensing Technologies

B. A. Hatta-Sakoda, Victor Hugo Toledo-Herrera, Luis Rodriguez-Saona, Jorge Mellado Carretero
Journal of Agricultural and Food Chemistry
Spectroscopy and Chemometric Analyses
article

In-Plant Assessment of Peruvian Pisco Distillates Using Infrared Sensing Technologies

B. A. Hatta-Sakoda, Victor Hugo Toledo-Herrera, Luis Rodriguez-Saona, Jorge Mellado Carretero
article en

Abstract

= 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.

Journal of Agricultural and Food ChemistryVol. 74(14)
Institute of Food Science & Technology (GB), Rede de Química e Tecnologia (PT), Universitat Rovira i Virgili (ES), Universidad Nacional Agraria La Molina (PE)
Ohio State University, Universitat Rovira i Virgili, Universidad Nacional Agraria La Molina
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Spectroscopy and Chemometric Analyses
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