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A preliminary study on the potential of front face fluorescence spectroscopy for the discrimination of Moroccan virgin olive oils and the prediction of their quality
Analytical Methods ( IF 2.7 ) Pub Date : 2020-12-8 , DOI: 10.1039/d0ay01746a
Hicham Zaroual 1, 2, 3, 4, 5 , El Mestafa El Hadrami 6, 7, 8, 9 , Romdhane Karoui 1, 2, 3, 4, 5
Affiliation  

This study examines the feasibility of using front face fluorescence spectroscopy (FFFS) to authenticate 41 virgin olive oil (VOO) specimens collected from 5 regions in Morocco (Fez/Meknes, Eastern, Northern, Beni-Mellal/Khenifra, and Marrakech/Safi) during 2 consecutive crop seasons (2015–2016 and 2016–2017). By jointly applying factorial discriminant analysis (FDA) to the emission spectra acquired after excitation at 270, 290, and 430 nm, clear discrimination between VOOs according to their geographic origin (96.72% correct classification) and variety (95.12% correct classification) was observed. This trend was confirmed following the application of partial least squares regression (PLSR) to the fluorescence spectra, where excellent prediction of free acidity (R2 = 0.98) and peroxide (R2 = 0.96) values and good prediction of k232 (R2 = 0.88), k270 (R2 = 0.88), and chlorophyll content (R2 = 0.89) values were observed.

中文翻译:

前脸荧光光谱技术对摩洛哥初榨橄榄油的鉴别及其质量预测的潜力的初步研究

这项研究检验了使用正面荧光光谱(FFFS)鉴定从摩洛哥5个地区(非斯/梅克内斯,东部,北部,贝尼-梅拉尔/科尼夫拉和马拉喀什/萨菲)收集的41个初榨橄榄油(VOO)标本的可行性。连续两个作物季节(2015–2016和2016–2017)。通过对在270、290和430 nm激发后获得的发射光谱联合应用阶乘判别分析(FDA),可以观察到VOOs根据其地理起源(正确分类的96.72%)和品种(正确分类的95.12%)清楚地区分。 。在将偏最小二乘回归(PLSR)应用于荧光光谱后,证实了这一趋势,其中对游离酸度(R 2 = 0.98)和过氧化物(R 2 = 0.96)值,并且可以很好地预测k 232R 2 = 0.88),k 270R 2 = 0.88)和叶绿素含量(R 2 = 0.89)。
更新日期:2021-01-04
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