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GC-MS profiling of fatty acids in green coffee (Coffea arabica L.) beans and chemometric modeling for tracing geographical origins from Ethiopia.

Bewketu MehariMesfin Redi-AbshiroBhagwan Singh ChandravanshiSandra CombrinckRob McCrindleMinaleshewa Atlabachew
Published in: Journal of the science of food and agriculture (2019)
Fatty acids contain adequate information for use as descriptors of the cultivation region of coffee beans. Chemometric methods based on fatty acid composition can be used to detect fraudulently labeled coffees, with regard to the production region. These can benefit the coffee production market by providing consumers with products of the expected quality. © 2019 Society of Chemical Industry.
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