Comparing the potential of IR-spectroscopic techniques to gas chromatography coupled to ion mobility spectrometry for classifying virgin olive oil categories.

Autor:	Ortiz-Romero C; Department of Analytical Chemistry, Campus of International Excellence in Agrifood (ceiA3), Marie Curie Annex Building, University of Córdoba, Campus de Rabanales, E-14071 Córdoba, Spain., Ríos-Reina R; Dpto. de Nutrición y Bromatología, Toxicología y Medicina Legal, Facultad de Farmacia, Universidad de Sevilla, C/P. García González n°2, E-41012 Sevilla, Spain., García-González DL; Instituto de la Grasa (CSIC), Building 46, Ctra. de Utrera, km. 1, E-41013 Sevilla, Spain., Cardador MJ; Department of Analytical Chemistry, Campus of International Excellence in Agrifood (ceiA3), Marie Curie Annex Building, University of Córdoba, Campus de Rabanales, E-14071 Córdoba, Spain., Callejón RM; Dpto. de Nutrición y Bromatología, Toxicología y Medicina Legal, Facultad de Farmacia, Universidad de Sevilla, C/P. García González n°2, E-41012 Sevilla, Spain., Arce L; Department of Analytical Chemistry, Campus of International Excellence in Agrifood (ceiA3), Marie Curie Annex Building, University of Córdoba, Campus de Rabanales, E-14071 Córdoba, Spain.
Jazyk:	angličtina
Zdroj:	Food chemistry: X [Food Chem X] 2023 Jun 12; Vol. 19, pp. 100738. Date of Electronic Publication: 2023 Jun 12 (Print Publication: 2023).
DOI:	10.1016/j.fochx.2023.100738
Abstrakt:	Virgin olive oil (OO) can be classified into three different categories: extra virgin, virgin and lampante. The official method for this classification, based on physicochemical analysis and sensory tasting, is considered useful and effective, although it is a costly and time-consuming process. The aim of this study was to assess the potential of some analytical techniques for classifying and predicting different OO categories to support official methods and to provide olive oil companies with a rapid tool to assess product quality. Thus, mid and near infrared spectroscopies (MIR and NIR) have been compared by using different instruments and with head-space gas chromatography coupled to an ion mobility spectrometer (HS-GC-IMS). High classification success rates in validation models were obtained using IR spectrometers (>70% and > 80% in average for ternary and binary classifications, respectively), although HS-GC-IMS showed greater classification potential (>85% and > 90%). Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2023 The Authors. Published by Elsevier Ltd.)
Databáze:	MEDLINE
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