2014
DOI: 10.1155/2014/245831
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Detection of Adulteration in Argan Oil by Using an Electronic Nose and a Voltammetric Electronic Tongue

Abstract: Adulteration detection of argan oil is one of the main aspects of its quality control. Following recent fraud scandals, it is mandatory to ensure product quality and customer protection. The aim of this study is to detect the percentages of adulteration of argan oil with sunflower oil by using the combination of a voltammetric e-tongue and an e-nose based on metal oxide semiconductor sensors and pattern recognition techniques. Data analysis is performed by three pattern recognition methods: principal component… Show more

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Cited by 70 publications
(37 citation statements)
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References 26 publications
(26 reference statements)
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“…The possibility of application of an e-nose based on MOS sensors (five tin dioxide gas (TGS) sensors) and pattern recognition techniques such as PCA, DFA, and SVM to detect adulteration of argan oil with sunflower oil (from 10 to 70%) was reported by Bougrini et al (2014). Results of PCA and DFA performed on the e-nose data showed differentiation between pure and adulterated argan oils.…”
Section: Plant Oilsmentioning
confidence: 99%
See 1 more Smart Citation
“…The possibility of application of an e-nose based on MOS sensors (five tin dioxide gas (TGS) sensors) and pattern recognition techniques such as PCA, DFA, and SVM to detect adulteration of argan oil with sunflower oil (from 10 to 70%) was reported by Bougrini et al (2014). Results of PCA and DFA performed on the e-nose data showed differentiation between pure and adulterated argan oils.…”
Section: Plant Oilsmentioning
confidence: 99%
“…Actually, most of the applications listed in Table 1 were studied using e-noses based on MOS. E-noses based on conductometric sensors have been used for geographical origin confirmation or adulteration detection of dairy products (Cevoli et al 2011;Pillonel et al 2003;Yu et al 2007), plant oils (Bougrini et al 2014;Cerrato Oliveros et al 2002;Cosio et al 2006;Guadarrama et al 2001;Haddi et al 2011;Hai and Wang 2006;Jeleń 2008, Mildner-Szkudlarz andWei et al 2015), meat and meat products (Laureati et al 2014;Tian et al 2013), honey Pei et al 2015;Subari et al 2012;Subari et al 2014;Zakaria et al 2011), beverages (Aleixandre et al 2008;Berna et al 2009;Hong et al 2014;Lozano et al 2007;Penza and Cassano 2004;Steine et al 2001), coffee (Buratti et al 2015), tea (Kovács et al 2010), and some spices (Banach et al 2012;Heidarbeigi et al 2015).…”
Section: Sensor-and Ms-based E-noses Used For Food Authenticity Confimentioning
confidence: 99%
“…These principal components are linear combinations of the original response vectors. The principal components are chosen to contain the maximum data variance and to be orthogonal (Bougrini et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…This method ascertains argan oil purity up to 98% (Hilali et al, 2007). Adulteration of argan oil with sunflower oil can also be detected using the combination of a voltammetric e-tongue and an e-nose based on metal oxide semiconductor sensors and pattern recognition techniques (Bougrini et al, 2014). Trace element analysis has also been reported as a method to detect argan oil adulteration (Gonzalvez et al, 2010;Mohammed et al, 2013).…”
Section: Argan Oilmentioning
confidence: 99%