Determination of geographical origin of commercial tomato through analysis of stable isotopes, elemental composition and chemical markers. (July 2018)

• Record Type: Journal Article
• Authors: Mahne Opatić, Anja; Nečemer, Marijan; Lojen, Sonja; Masten, Jasmina; Zlatić, Emil; Šircelj, Helena; Stopar, David; Vidrih, Rajko
• Is Part Of: Food control. Volume 89(2018)
• Page Start: 133
• Page End: 141
• Publication Date: 2018-07
• Subjects: Food analyses -- Food composition -- Food traceability -- Geographical origin -- Tomato -- Stable isotopes -- Elemental content -- Chemical markers; Food -- Quality -- Periodicals; Food -- Analysis -- Periodicals; Food handling -- Periodicals; Food industry and trade -- Quality control -- Periodicals; Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques; Aliments -- Qualité -- Périodiques; Aliments -- Analyse -- Périodiques; Hygiène alimentaire -- Périodiques; Food -- Analysis; Food handling; Food -- Quality; Periodicals; Electronic journals; 664.07
• DOI: 10.1016/j.foodcont.2017.11.013
• Languages: English
• ISSNs: 0956-7135

Abstract

Abstract: In recent years, the geographical authentication of different agro-products, including vegetables, has gained an increasing amount of attention. This study investigated different approaches, both independently and in combination, to assign the country of origin to commercial tomato samples from Slovenia, Italy, Spain and Morocco. To create a model for their traceability, three sets of parameters were used: stable isotopes of the major bioelements ( δ 13 C, δ 15 N, δ 18 O, δ 34 S), macro and micro elements (P, K, Ca, S, Cl, Zn, Br, Rb, Sr), and chemical markers (total antioxidant potential, total phenolic compounds, ascorbic acid, lutein, nitrates and nitrites, ammonium). The data obtained were analysed using the supervised pattern-recognition technique of multivariate discriminant analysis. The statistical analysis based on leave-one-out cross-validation revealed that the best overall success rate was achieved when using either the combination of all three sets of parameters, or only the elemental content data. In both cases, correct classification was obtained for 80% of the samples. Moreover, the present study highlights the first characterisation and classification of commercial tomato samples using the combination of the methodologies proposed. Highlights: Different approaches to assign the country of origin to commercial tomato samples. Three sets of parameters were used: stable isotopes, elements, and chemical markers. The first use of the combination of proposed parameters. The elemental data provides the same predictive power as the combined data from all three approaches. In both cases, correct classification was obtained for 80% of samples.