Ilaria Grigoletto, E. Casadei, F. Panni, E. Valli, Chiara Cevoli, A. Bendini, D. L. García-González, Francesca Focante, Angela Felicita Savino, Stefania Carpino, T. Gallina Toschi
{"title":"筛查工具与多元数据分析相结合,预测或确认初榨橄榄油的 Panel 检验分类","authors":"Ilaria Grigoletto, E. Casadei, F. Panni, E. Valli, Chiara Cevoli, A. Bendini, D. L. García-González, Francesca Focante, Angela Felicita Savino, Stefania Carpino, T. Gallina Toschi","doi":"10.1002/ejlt.202300211","DOIUrl":null,"url":null,"abstract":"A particular aspect of quality control of virgin olive oil (VOO) is the mandatory application, together with chemical and instrumental determinations, of a standardized and official method for sensory assessment. The latter, known as Panel test, is carried out by trained assessors and contributes to the classification of VOOs into three commercial categories (extra virgin, virgin, and lampante). One drawback of this method is related to the large number of samples to be analyzed, compared to the work capacity of a sensory panel, especially during the selection for purchase by companies that blend and market virgin oils and the quality control conducted by the authorities to verify the declared commercial category. For this reason, it is helpful to develop and validate robust and rapid screening methods, based on volatile fingerprints, to preclassify each sample into one of the three commercial categories. Considering the strict relation between volatile compounds and the main sensory attributes (fruity and defects), a gas‐chromatographic volatile fingerprint can be the right choice. In this paper, the comparison of two emerging techniques, namely, headspace‐gas chromatography‐ion mobility spectrometry (HS‐GC‐IMS) and flash‐gas chromatography (FGC), applied on a sample set of 49 VOOs, using calibrations previously built with a larger number of samples, is presented. The number of correctly classified samples, with respect to the commercial category determined by the Panel test, was satisfactory and comparable (92% for HS‐GC‐IMS, and 94% for FGC), confirming the effectiveness of both methods and the robustness of the predictive models.Practical Applications: The demand for rapid screening tools to reduce the number of samples to be assessed by the Panel test has increased in recent years. The validation of robust models and their joint adoption by companies that market VOOs as well as official control bodies could reduce nonconformities and increase the batches of VOO being controlled, thus better protecting the consumer. Therefore, it is desirable to have different tools available to analyze volatile compounds, together with the associated calibration models, along with detailed instructions for their application, to have different alternatives that suit the equipment of individual laboratories.","PeriodicalId":11988,"journal":{"name":"European Journal of Lipid Science and Technology","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Screening tools combined with multivariate data analysis to predict or confirm virgin olive oil classification by the Panel test\",\"authors\":\"Ilaria Grigoletto, E. Casadei, F. Panni, E. Valli, Chiara Cevoli, A. Bendini, D. L. García-González, Francesca Focante, Angela Felicita Savino, Stefania Carpino, T. Gallina Toschi\",\"doi\":\"10.1002/ejlt.202300211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A particular aspect of quality control of virgin olive oil (VOO) is the mandatory application, together with chemical and instrumental determinations, of a standardized and official method for sensory assessment. The latter, known as Panel test, is carried out by trained assessors and contributes to the classification of VOOs into three commercial categories (extra virgin, virgin, and lampante). One drawback of this method is related to the large number of samples to be analyzed, compared to the work capacity of a sensory panel, especially during the selection for purchase by companies that blend and market virgin oils and the quality control conducted by the authorities to verify the declared commercial category. For this reason, it is helpful to develop and validate robust and rapid screening methods, based on volatile fingerprints, to preclassify each sample into one of the three commercial categories. Considering the strict relation between volatile compounds and the main sensory attributes (fruity and defects), a gas‐chromatographic volatile fingerprint can be the right choice. In this paper, the comparison of two emerging techniques, namely, headspace‐gas chromatography‐ion mobility spectrometry (HS‐GC‐IMS) and flash‐gas chromatography (FGC), applied on a sample set of 49 VOOs, using calibrations previously built with a larger number of samples, is presented. The number of correctly classified samples, with respect to the commercial category determined by the Panel test, was satisfactory and comparable (92% for HS‐GC‐IMS, and 94% for FGC), confirming the effectiveness of both methods and the robustness of the predictive models.Practical Applications: The demand for rapid screening tools to reduce the number of samples to be assessed by the Panel test has increased in recent years. The validation of robust models and their joint adoption by companies that market VOOs as well as official control bodies could reduce nonconformities and increase the batches of VOO being controlled, thus better protecting the consumer. 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Screening tools combined with multivariate data analysis to predict or confirm virgin olive oil classification by the Panel test
A particular aspect of quality control of virgin olive oil (VOO) is the mandatory application, together with chemical and instrumental determinations, of a standardized and official method for sensory assessment. The latter, known as Panel test, is carried out by trained assessors and contributes to the classification of VOOs into three commercial categories (extra virgin, virgin, and lampante). One drawback of this method is related to the large number of samples to be analyzed, compared to the work capacity of a sensory panel, especially during the selection for purchase by companies that blend and market virgin oils and the quality control conducted by the authorities to verify the declared commercial category. For this reason, it is helpful to develop and validate robust and rapid screening methods, based on volatile fingerprints, to preclassify each sample into one of the three commercial categories. Considering the strict relation between volatile compounds and the main sensory attributes (fruity and defects), a gas‐chromatographic volatile fingerprint can be the right choice. In this paper, the comparison of two emerging techniques, namely, headspace‐gas chromatography‐ion mobility spectrometry (HS‐GC‐IMS) and flash‐gas chromatography (FGC), applied on a sample set of 49 VOOs, using calibrations previously built with a larger number of samples, is presented. The number of correctly classified samples, with respect to the commercial category determined by the Panel test, was satisfactory and comparable (92% for HS‐GC‐IMS, and 94% for FGC), confirming the effectiveness of both methods and the robustness of the predictive models.Practical Applications: The demand for rapid screening tools to reduce the number of samples to be assessed by the Panel test has increased in recent years. The validation of robust models and their joint adoption by companies that market VOOs as well as official control bodies could reduce nonconformities and increase the batches of VOO being controlled, thus better protecting the consumer. Therefore, it is desirable to have different tools available to analyze volatile compounds, together with the associated calibration models, along with detailed instructions for their application, to have different alternatives that suit the equipment of individual laboratories.
期刊介绍:
The European Journal of Lipid Science and Technology is a peer-reviewed journal publishing original research articles, reviews, and other contributions on lipid related topics in food science and technology, biomedical science including clinical and pre-clinical research, nutrition, animal science, plant and microbial lipids, (bio)chemistry, oleochemistry, biotechnology, processing, physical chemistry, and analytics including lipidomics. A major focus of the journal is the synthesis of health related topics with applied aspects.
Following is a selection of subject areas which are of special interest to EJLST:
Animal and plant products for healthier foods including strategic feeding and transgenic crops
Authentication and analysis of foods for ensuring food quality and safety
Bioavailability of PUFA and other nutrients
Dietary lipids and minor compounds, their specific roles in food products and in nutrition
Food technology and processing for safer and healthier products
Functional foods and nutraceuticals
Lipidomics
Lipid structuring and formulations
Oleochemistry, lipid-derived polymers and biomaterials
Processes using lipid-modifying enzymes
The scope is not restricted to these areas. Submissions on topics at the interface of basic research and applications are strongly encouraged. The journal is the official organ the European Federation for the Science and Technology of Lipids (Euro Fed Lipid).