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NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends
Coffee is both a vastly consumed beverage and a chemically complex matrix. For a long time, an arduous chemical analysis was necessary to resolve coffee authentication issues. Despite their demonstrated efficacy, such techniques tend to rely on reference methods or resort to elaborate extraction ste...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780874/ https://www.ncbi.nlm.nih.gov/pubmed/35056707 http://dx.doi.org/10.3390/molecules27020388 |
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author | Aouadi, Balkis Vitalis, Flora Bodor, Zsanett Zinia Zaukuu, John-Lewis Kertesz, Istvan Kovacs, Zoltan |
author_facet | Aouadi, Balkis Vitalis, Flora Bodor, Zsanett Zinia Zaukuu, John-Lewis Kertesz, Istvan Kovacs, Zoltan |
author_sort | Aouadi, Balkis |
collection | PubMed |
description | Coffee is both a vastly consumed beverage and a chemically complex matrix. For a long time, an arduous chemical analysis was necessary to resolve coffee authentication issues. Despite their demonstrated efficacy, such techniques tend to rely on reference methods or resort to elaborate extraction steps. Near infrared spectroscopy (NIRS) and the aquaphotomics approach, on the other hand, reportedly offer a rapid, reliable, and holistic compositional overview of varying analytes but with little focus on low concentration mixtures of Robusta-to-Arabica coffee. Our study aimed for a comparative assessment of ground coffee adulteration using NIRS and liquid coffee adulteration using the aquaphotomics approach. The aim was to demonstrate the potential of monitoring ground and liquid coffee quality as they are commercially the most available coffee forms. Chemometrics spectra analysis proved capable of distinguishing between the studied samples and efficiently estimating the added Robusta concentrations. An accuracy of 100% was obtained for the varietal discrimination of pure Arabica and Robusta, both in ground and liquid form. Robusta-to-Arabica ratio was predicted with R(2)CV values of 0.99 and 0.9 in ground and liquid form respectively. Aquagrams results accentuated the peculiarities of the two coffee varieties and their respective blends by designating different water conformations depending on the coffee variety and assigning a particular water absorption spectral pattern (WASP) depending on the blending ratio. Marked spectral features attributed to high hydrogen bonded water characterized Arabica-rich coffee, while those with the higher Robusta content showed an abundance of free water structures. Collectively, the obtained results ascertain the adequacy of NIRS and aquaphotomics as promising alternative tools for the authentication of liquid coffee that can correlate the water-related fingerprint to the Robusta-to-Arabica ratio. |
format | Online Article Text |
id | pubmed-8780874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87808742022-01-22 NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends Aouadi, Balkis Vitalis, Flora Bodor, Zsanett Zinia Zaukuu, John-Lewis Kertesz, Istvan Kovacs, Zoltan Molecules Article Coffee is both a vastly consumed beverage and a chemically complex matrix. For a long time, an arduous chemical analysis was necessary to resolve coffee authentication issues. Despite their demonstrated efficacy, such techniques tend to rely on reference methods or resort to elaborate extraction steps. Near infrared spectroscopy (NIRS) and the aquaphotomics approach, on the other hand, reportedly offer a rapid, reliable, and holistic compositional overview of varying analytes but with little focus on low concentration mixtures of Robusta-to-Arabica coffee. Our study aimed for a comparative assessment of ground coffee adulteration using NIRS and liquid coffee adulteration using the aquaphotomics approach. The aim was to demonstrate the potential of monitoring ground and liquid coffee quality as they are commercially the most available coffee forms. Chemometrics spectra analysis proved capable of distinguishing between the studied samples and efficiently estimating the added Robusta concentrations. An accuracy of 100% was obtained for the varietal discrimination of pure Arabica and Robusta, both in ground and liquid form. Robusta-to-Arabica ratio was predicted with R(2)CV values of 0.99 and 0.9 in ground and liquid form respectively. Aquagrams results accentuated the peculiarities of the two coffee varieties and their respective blends by designating different water conformations depending on the coffee variety and assigning a particular water absorption spectral pattern (WASP) depending on the blending ratio. Marked spectral features attributed to high hydrogen bonded water characterized Arabica-rich coffee, while those with the higher Robusta content showed an abundance of free water structures. Collectively, the obtained results ascertain the adequacy of NIRS and aquaphotomics as promising alternative tools for the authentication of liquid coffee that can correlate the water-related fingerprint to the Robusta-to-Arabica ratio. MDPI 2022-01-08 /pmc/articles/PMC8780874/ /pubmed/35056707 http://dx.doi.org/10.3390/molecules27020388 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Aouadi, Balkis Vitalis, Flora Bodor, Zsanett Zinia Zaukuu, John-Lewis Kertesz, Istvan Kovacs, Zoltan NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends |
title | NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends |
title_full | NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends |
title_fullStr | NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends |
title_full_unstemmed | NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends |
title_short | NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends |
title_sort | nirs and aquaphotomics trace robusta-to-arabica ratio in liquid coffee blends |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780874/ https://www.ncbi.nlm.nih.gov/pubmed/35056707 http://dx.doi.org/10.3390/molecules27020388 |
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