作者: Ramón Aparicio , Diego L. García-González
DOI: 10.1007/978-1-4614-7777-8_12
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摘要: Olive oil is characterized by its high quality, health benefits, and price compared to other edible oils, which results in a permanent problem of adulteration. In that context, the purpose olive authentication oriented not solely detection possible adulteration but genuineness certification product with regard different authenticity issues, such as geographical origin, extraction system, cultivar variety. The most recent issues only require advanced analytical solutions, they are also need multivariate mathematical procedure for extracting information from complex set chemical data. Thus, this chapter starts providing complete description main procedures used characterization. contents include several types statistical analyses (cluster analysis, factor multidimensional scaling, discriminant analysis), expert systems, artificial neural network. second half devoted critical review starting agronomic pedoclimatic characteristics influence composition. Other ripeness, botanical All these determine distinctive properties produced zones. another issue analyzed identification oils be implemented traceability system. Different zones (Italy, Spain, Greece, countries Mediterranean basin) considered their oils. Finally, last two sections centered on categories