The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Application of infrared spectral techniques on quality and compositional attributes of coffee: An overview
Open accessAbstract
During the last two decades, near and mid-infrared spectral analyses have emerged as a reliable and promising analytical tool for objective assessment of coffee quality attributes. The literature presented in this review clearly reveals that near and mid-infrared approaches have a huge potential for gaining rapid information about the chemical composition and related properties of coffee. In addition to its ability for effectively quantifying and characterising quality attributes of some important features of coffee such as moisture, lipids and caffeine content, classification into quality grades and determination of sensory attributes, it is able to measure multiple chemical constituents simultaneously avoiding extensive sample preparation. Developing a quality evaluation system based on infrared spectral information to assess the coffee quality parameters and to ensure its authentication would bring economical benefits to the coffee industry by increasing consumer confidence in the quality of products. This paper provides an overview of the recently developed approaches and latest research carried out in near and mid-infrared spectral technology for evaluating the quality and composition of coffee and the possibility of its widespread deployment.
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Cites
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Cited by
An Assessment of the Bioactivity of Coffee Silverskin Melanoidins
Tores de la Cruz, S., Iriondo-DeHond, A., Herrera, T., Lopez-Tofiño, Y., Galvez-Robleño, C., Prodanov, M., Velazquez-Escobar, F., Abalo, R., & del Castillo, M. D. (2019) · Foods · doi:10.3390/foods8020068 · Cited by 57
Bilge, G. (2020) · Journal of Food Science and Technology · doi:10.1007/s13197-020-04367-9 · Cited by 33
Metadata
- Authors
- Barbin, D. F., Felicio, A. L. D. S. M., Sun, D.-W., Nixdorf, S. L., & Hirooka, E. Y.
- Venue
- Food Research International
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 61
- Pages
- 23-32
- ISSN
- 0963-9969 (ISSN-L)
- OpenAlex
- W2009152055
- Cited by
- 272
- References
- 45
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Barbin, D. F., Felicio, A. L. D. S. M., Sun, D.-W., Nixdorf, S. L., & Hirooka, E. Y. (2014). Application of infrared spectral techniques on quality and compositional attributes of coffee: An overview. Food Research International. https://doi.org/10.1016/j.foodres.2014.01.005
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.