| Title: | Geographical provenancing of purple grape juices from different farming systems by proton transfer reaction mass spectrometry using supervised statistical techniques |
| Author(s): | Granato D; Koot A; van Ruth SM; |
| Address: | "RIKILT - Institute of Food Safety, Wageningen University and Research Centre, 6700 AE, Wageningen, The Netherlands. Food Quality and Design Group, Wageningen University and Research Centre, 6700 AA, Wageningen, The Netherlands. Departament of Food Engineering, State University of Ponta Grossa, 84030-900, Ponta Grossa, Brazil" |
| ISSN/ISBN: | 1097-0010 (Electronic) 0022-5142 (Linking) |
| Abstract: | "BACKGROUND: Organic, biodynamic and conventional purple grape juices (PGJ; n = 79) produced in Brazil and Europe were characterized by volatile organic compounds (m/z 20-160) measured by proton transfer reaction mass spectrometry (PTR-MS), and classification models were built using supervised statistical techniques. RESULTS: k-Nearest neighbours and soft independent modelling of class analogy (SIMCA) models discriminated adequately the Brazilian from European PGJ (overall efficiency of 81% and 87%, respectively). Partial least squares discriminant analysis (PLSDA) classified 100% European and 96% Brazilian PGJ. Similarly, when samples were grouped as either conventional or organic/biodynamic, the PLSDA model classified 81% conventional and 83% organic/biodynamic juices. Intraregional PLSDA models (juices produced in the same region - either Europe or Brazil) were developed and were deemed accurate in discriminating Brazilian organic from conventional PGJ (81% efficiency), as well as European conventional from organic/biodynamic PGJ (94% efficiency). CONCLUSIONS: PGJ from Brazil and Europe, as well as conventional and organic/biodynamic PGJ, were distinguished with high efficiency, but no statistical model was able to differentiate organic and biodynamic grape juices. These data support the hypothesis that no clear distinction between organic and biodynamic grape juices can be made with respect to volatile organic compounds" |
| Keywords: | "Agriculture/*methods Brazil Discriminant Analysis Europe *Food, Organic *Fruit/chemistry Fruit and Vegetable Juices/analysis/*classification Geography Humans Least-Squares Analysis Mass Spectrometry/methods Protons *Vitis/chemistry Volatile Organic Compou;" |
| Notes: | "MedlineGranato, Daniel Koot, Alex van Ruth, Saskia M eng Comparative Study Research Support, Non-U.S. Gov't England 2014/11/18 J Sci Food Agric. 2015 Oct; 95(13):2668-77. doi: 10.1002/jsfa.7001. Epub 2014 Dec 8" |
