{"title":"摩洛哥特级初榨摩洛哥坚果油的紫外-可见光和正面荧光光谱鉴定,结合不同的描述性和预测性化学计量工具","authors":"Youssra El Haddad, Abdelkarim Filali-Maltouf, Bouchra Belkadi, Romdhane Karoui, Hicham Zaroual","doi":"10.1007/s00217-023-04364-0","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the feasibility of using front face fluorescence (FFFS) and ultraviolet–visible (UV–visible) spectroscopies to authenticate 100 extra virgin argan oil (EVAO) samples from five Moroccan regions (Chtouka, Essaouira, Sidi Ifni, Taroudant, and Tiznit). Additionally, the study aims to identify and predict the percentage of adulteration in pure EVAO samples from these regions using less expensive vegetable oils (such as peanut, walnut, hazelnut, sunflower, grape, rapeseed, sesame, olive, and a mixture of these oils) at varying levels (1, 5, 10, 20, 30, 40 and 50%). By applying principal component analysis and factorial discriminant analysis on emission spectra acquired after excitation wavelengths set at 430 nm, 290 nm, and 270 nm, a perfect discrimination of EVAO samples based on their geographic origin was observed, achieving 100% correct classification; while UV–visible spectra data achieved 98.67% correct classification. Regarding the prediction of purity level of EVAO, partial least square regression applied to FFFS and UV–visible spectra data yielded an excellent prediction of adulteration level, with R<sup>2</sup> values of 0.99 for both spectral technics.</p></div>","PeriodicalId":549,"journal":{"name":"European Food Research and Technology","volume":"249 12","pages":"3247 - 3259"},"PeriodicalIF":3.0000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00217-023-04364-0.pdf","citationCount":"0","resultStr":"{\"title\":\"Moroccan extra virgin argan oil authentication by using ultraviolet–visible and front face fluorescence spectroscopies combined with different descriptive and predictive chemometric tools\",\"authors\":\"Youssra El Haddad, Abdelkarim Filali-Maltouf, Bouchra Belkadi, Romdhane Karoui, Hicham Zaroual\",\"doi\":\"10.1007/s00217-023-04364-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study investigates the feasibility of using front face fluorescence (FFFS) and ultraviolet–visible (UV–visible) spectroscopies to authenticate 100 extra virgin argan oil (EVAO) samples from five Moroccan regions (Chtouka, Essaouira, Sidi Ifni, Taroudant, and Tiznit). Additionally, the study aims to identify and predict the percentage of adulteration in pure EVAO samples from these regions using less expensive vegetable oils (such as peanut, walnut, hazelnut, sunflower, grape, rapeseed, sesame, olive, and a mixture of these oils) at varying levels (1, 5, 10, 20, 30, 40 and 50%). By applying principal component analysis and factorial discriminant analysis on emission spectra acquired after excitation wavelengths set at 430 nm, 290 nm, and 270 nm, a perfect discrimination of EVAO samples based on their geographic origin was observed, achieving 100% correct classification; while UV–visible spectra data achieved 98.67% correct classification. Regarding the prediction of purity level of EVAO, partial least square regression applied to FFFS and UV–visible spectra data yielded an excellent prediction of adulteration level, with R<sup>2</sup> values of 0.99 for both spectral technics.</p></div>\",\"PeriodicalId\":549,\"journal\":{\"name\":\"European Food Research and Technology\",\"volume\":\"249 12\",\"pages\":\"3247 - 3259\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2023-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s00217-023-04364-0.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Food Research and Technology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00217-023-04364-0\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Food Research and Technology","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s00217-023-04364-0","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Moroccan extra virgin argan oil authentication by using ultraviolet–visible and front face fluorescence spectroscopies combined with different descriptive and predictive chemometric tools
This study investigates the feasibility of using front face fluorescence (FFFS) and ultraviolet–visible (UV–visible) spectroscopies to authenticate 100 extra virgin argan oil (EVAO) samples from five Moroccan regions (Chtouka, Essaouira, Sidi Ifni, Taroudant, and Tiznit). Additionally, the study aims to identify and predict the percentage of adulteration in pure EVAO samples from these regions using less expensive vegetable oils (such as peanut, walnut, hazelnut, sunflower, grape, rapeseed, sesame, olive, and a mixture of these oils) at varying levels (1, 5, 10, 20, 30, 40 and 50%). By applying principal component analysis and factorial discriminant analysis on emission spectra acquired after excitation wavelengths set at 430 nm, 290 nm, and 270 nm, a perfect discrimination of EVAO samples based on their geographic origin was observed, achieving 100% correct classification; while UV–visible spectra data achieved 98.67% correct classification. Regarding the prediction of purity level of EVAO, partial least square regression applied to FFFS and UV–visible spectra data yielded an excellent prediction of adulteration level, with R2 values of 0.99 for both spectral technics.
期刊介绍:
The journal European Food Research and Technology publishes state-of-the-art research papers and review articles on fundamental and applied food research. The journal''s mission is the fast publication of high quality papers on front-line research, newest techniques and on developing trends in the following sections:
-chemistry and biochemistry-
technology and molecular biotechnology-
nutritional chemistry and toxicology-
analytical and sensory methodologies-
food physics.
Out of the scope of the journal are:
- contributions which are not of international interest or do not have a substantial impact on food sciences,
- submissions which comprise merely data collections, based on the use of routine analytical or bacteriological methods,
- contributions reporting biological or functional effects without profound chemical and/or physical structure characterization of the compound(s) under research.