Using the liquid-chromatographic-fingerprint of sterols fraction to discriminate virgin olive from other edible oils

Second‐order capillary electrophoresis diode array detector data modeled with the Tucker3 algorithm: A novel strategy for Argentinean white wine discrimination respect to grape variety

“…Food fingerprint approaches, also known as non‐target analysis, have become a powerful tool for quality control of many products, for example, edible oil , fruit juice , alcoholic beverage , milk powder among others . These methodologies have been developed for different purposes, like to vouch authenticity brand or geographical origin to detect presence of adulterants compounds .…”

Detection of Extra Virgin Olive Oil Adulteration With Edible Oils Using Front‐Face Fluorescence and Visible Spectroscopies

“…The classification of edible oils according to geographical or botanical origins (Bagur‐González, Pérez‐Castaño, Sánchez‐Viñas, & Gázquez‐Evangelista, ; Casale, Armanino, Casolino, & Forina, ; Casale, Casolino, Oliveri, & Forina, ; Concha‐Herrera, Lerma‐García, Herrero‐Martínez, & Simó‐Alfonso, ; Dadarlat et al, ; Dankowska, Małecka, & Kowalewski, ; Downey, McIntyre, & Davies, ; Fang, Goh, Tay, Lau, & Li, ; Gázquez‐Evangelista, Pérez‐Castaño, Sánchez‐Viñas, & Bagur‐González, ; Lin, Chen, & He, ; Mu et al, ; Parker et al, ; Pizarro, Rodríguez‐Tecedor, Pérez‐del‐Notario, Esteban‐Díez, & González‐Sáiz, ; Popescu et al, ; Sikorska, Górecki, Khmelinskii, Sikorski, & Kozioł, ; Streza et al, ; Wu, Pan, Zhao, Liu, & Zheng, ; Zhang et al, ) and the determination of olive oil adulteration with lower‐value refined olive oil and vegetable oils (Azizian et al, ; Blanch, Villen, & Herraiz, ; Dankowska & Małecka, ; Dourtoglou et al, ; Downey, McIntyre, & Davies, ; Fang et al, ; Hodaifa, Nieto, Lozano, & Sanchez, ; Jabeur et al, ; Jabeur, Zribi, & Bouaziz, ; Jiang, Zheng, & Lu, ; Kunz, Ottaway, Kalivas, Georgiou, & Mousdis, ; Oussama, Elabadi, Platikanov, Kzaiber, & Tauler, ; Poulli, Mousdis, & Georgiou, , ; Reiter & Lorbeer, ; Srigley, Oles, Kia, & Mossoba, ; Torrecilla, Rojo, Domínguez, & Rodríguez, ; Wójcicki et al, ; Zhang et al, ) have been continuously reported. Most of the reported methods rely on various spectroscopies including UV–visible (Casale et al, , ; Downey et al, , ; Jiang et al, ; Lin et al, ; Pizarro et al, ; Torrecilla et al, ), fluorescence (Dankowska et al, ; Dankowska & Małecka, ; Kunz et al, ; Mu et al, ; Poulli et al, …”

“…Most of the reported methods rely on various spectroscopies including UV–visible (Casale et al, , ; Downey et al, , ; Jiang et al, ; Lin et al, ; Pizarro et al, ; Torrecilla et al, ), fluorescence (Dankowska et al, ; Dankowska & Małecka, ; Kunz et al, ; Mu et al, ; Poulli et al, , ; Sikorska, Górecki, et al, ; Wójcicki et al, ; Wu et al, ), nuclear magnetic resonance (NMR) (Fang et al, ; Parker et al, ; Popescu et al, ), near‐infrared (NIR) (Azizian et al, ; Casale et al, ; Downey et al, , ; Lin et al, ), middle‐infrared (MIR) (Wójcicki et al, ), and infrared (IR) (Oussama et al, ). The others are based on electronic noses (Casale et al, , ) or the chromatographic profiles of characteristic compounds such as amino acids (Concha‐Herrera et al, ), fatty acids (Fang et al, ; Jabeur et al, ; Zhang et al, ), sterols (Bagur‐González et al, ; Gázquez‐Evangelista et al, ; Jabeur et al, ), triacylglycerols (Dourtoglou et al, ), stigmasta‐3,5‐diene (Jabeur et al, ), waxes (Hodaifa et al, ; Reiter & Lorbeer, ), and aliphatic alcohols (Blanch et al, ; Srigley et al, ). The addition of commonly used seed oils such as corn oil (CO), soybean oil (SBO), and sunflower oil (SFO) in olive oils is one typical type of adulteration, and the determination of CO, SBO, and SFO as adulterants in olive oils has been intensively studied (Azizian et al, ; Downey et al, ; Jabeur et al, ; Oussama et al, ; Poulli et al, , ).…”

Genomic studies of biochemical compounds determining arabica coffee (Coffea arabica L.) quality

“…This approach helps highlight certain regions of the chromatogram which is important when interpreted simultaneously with the entire peak profile. TIC has been applied successfully for predicting the composition of biodiesel blends (Pierce et al, 2011), classifying edible oil type (Bagur-González et al, 2015), discriminating counterfeit medicines (Custers et al, 2014) or classifying and differentiating agarwoods (Hung et al, 2014). These studies confirmed this method as a high-throughput fingerprint analysis technique (Pierce et al, 2011), as valuable tools to discriminate between genuine and counterfeit medicines (Bagur-González et al, 2015) or as a simple, convenient and robust method to extract volatile compounds successfully for evaluating agarwoods and sandalwoods (Hung et al, 2014).…”

“…This approach has been used by others for secondary metabolites in citrus fruits peels (Parastara et al, 2012), medicines (Custers et al, 2014) and edible oils (Bagur-González et al, 2015). The advantages of applying this approach in the current study were:…”