GC‐MS profiling of fatty acids in green coffee ( Coffea arabica L.) beans and chemometric modeling for tracing geographical origins from Ethiopia-Reference-Cited by-同舟云学术

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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

Published:2019-02-15 Issue:8 Volume:99 Page:3811-3823
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J. Sci. Food Agric.

Author:

Mehari Bewketu¹²,Redi‐Abshiro Mesfin³,Chandravanshi Bhagwan Singh³^ORCID,Combrinck Sandra¹,McCrindle Rob⁴,Atlabachew Minaleshewa⁵

Affiliation:

1. Department of Pharmaceutical SciencesTshwane University of Technology Pretoria South Africa

2. Department of Chemistry, College of Natural SciencesUniversity of Gondar Gondar Ethiopia

3. Department of Chemistry, College of Natural SciencesAddis Ababa University Addis Ababa Ethiopia

4. Department of Chemistry, Faculty of ScienceTshwane University of Technology Pretoria South Africa

5. Department of Chemistry, College of Natural SciencesBahir Dar University Bahir Dar Ethiopia

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.9603

Reference27 articles.

1. Geographical and genotypic classification of arabica coffee using Fourier transform infrared spectroscopy and radial-basis function networks

2. Geographical and genotypic segmentation of arabica coffee using self-organizing maps

3. Isotopes as Tracers of the Hawaiian Coffee-Producing Regions

4. Geographic determination of coffee beans using multi-element analysis and isotope ratios of boron and strontium

5. Stable isotope analysis for green coffee bean: A possible method for geographic origin discrimination

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