Magdiel Pablo-Cano, Landy Hernández-Rodríguez, Anastacio Espejel-García, Alma L. Saucedo
{"title":"Chemometric Fingerprinting of Raicilla, a Traditional Mexican Distilled Beverage, Using Near-Infrared Spectroscopy and Gas Chromatography","authors":"Magdiel Pablo-Cano, Landy Hernández-Rodríguez, Anastacio Espejel-García, Alma L. Saucedo","doi":"10.1021/acsfoodscitech.6c00208","DOIUrl":null,"url":null,"abstract":"<p>Raicilla is a traditional Mexican distilled alcoholic\r\nbeverage\r\nsimilar to Tequila and Mezcal, produced from different Agavaceae species.\r\nIt exhibits a complex chemical profile defined by volatile compounds\r\nand physicochemical properties that determine its sensory characteristics.\r\nThe chemometric fingerprint of Raicilla samples was related to agave\r\nspecies, geographical origin, and manufacturing process by physicochemical\r\nparameters, Fourier Transform Near-Infrared Spectroscopy (FT-NIR),\r\nand Solid-Phase Microextraction Gas Chromatography–Mass Spectrometry\r\n(HS-SPME-GC–MS), through uni- and multivariate statistical\r\nmethods. The PLS-DA model from FT-NIR spectra allowed discrimination\r\nof Raicilla samples according to the elaboration process, demonstrating\r\nthe potential of this approach to detect chemical differences associated\r\nwith manufacturing. In addition, the HS-SPME-GC–MS analysis\r\nenabled the identification of 35 volatile compounds that collectively\r\ncontribute to the unique sensory attributes of Raicilla. The later\r\nmultivariable analysis allowed differentiation among the agave used\r\nas raw material, highlighting compositional patterns associated with\r\nbotanical origin.</p>","PeriodicalId":72048,"journal":{"name":"ACS food science & technology","volume":"6 9","pages":"2787–2800"},"PeriodicalIF":3.0000,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS food science & technology","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsfoodscitech.6c00208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/27 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Raicilla is a traditional Mexican distilled alcoholic
beverage
similar to Tequila and Mezcal, produced from different Agavaceae species.
It exhibits a complex chemical profile defined by volatile compounds
and physicochemical properties that determine its sensory characteristics.
The chemometric fingerprint of Raicilla samples was related to agave
species, geographical origin, and manufacturing process by physicochemical
parameters, Fourier Transform Near-Infrared Spectroscopy (FT-NIR),
and Solid-Phase Microextraction Gas Chromatography–Mass Spectrometry
(HS-SPME-GC–MS), through uni- and multivariate statistical
methods. The PLS-DA model from FT-NIR spectra allowed discrimination
of Raicilla samples according to the elaboration process, demonstrating
the potential of this approach to detect chemical differences associated
with manufacturing. In addition, the HS-SPME-GC–MS analysis
enabled the identification of 35 volatile compounds that collectively
contribute to the unique sensory attributes of Raicilla. The later
multivariable analysis allowed differentiation among the agave used
as raw material, highlighting compositional patterns associated with
botanical origin.