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Article
2021
The potential of spectroscopic techniques in coffee analysis - a review
The potential of spectroscopic techniques in coffee analysis - a review
Abstract (English)
This review provides an overview of recent studies on the potential of spectroscopy techniques (mid-infrared, near infrared, Raman, and fluorescence spectroscopy) used in coffee analysis. It specifically covers their applications in coffee roasting supervision, adulterants and defective beans detection, prediction of specialty coffee quality and coffees’ sensory attributes, discrimination of coffee based on variety, species, and geographical origin, and prediction of coffees chemical composition. These are important aspects that significantly affect the overall quality of coffee and consequently its market price and finally quality of the brew. From the reviewed literature, spectroscopic methods could be used to evaluate coffee for different parameters along the production process as evidenced by reported robust prediction models. Nevertheless, some techniques have received little attention including Raman and fluorescence spectroscopy, which should be further studied considering their great potential in providing important information. There is more focus on the use of near infrared spectroscopy; however, few multivariate analysis techniques have been explored. With the growing demand for fast, robust, and accurate analytical methods for coffee quality assessment and its authentication, there are other areas to be studied and the field of coffee spectroscopy provides a vast opportunity for scientific investigation.
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Processes, 10 (2021), 1, 71.
https://doi.org/10.3390/pr10010071.
ISSN: 2227-9717
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English
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630 Agriculture
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Sustainable Development Goals
BibTeX
@article{Munyendo2021,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16865},
doi = {10.3390/pr10010071},
author = {Munyendo, Leah and Njoroge, Daniel and Hitzmann, Bernd et al.},
title = {The Potential of Spectroscopic Techniques in Coffee Analysis—A Review},
journal = {Processes},
year = {2021},
}