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...

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Main Authors: Balkis Aouadi, Flora Vitalis, Zsanett Bodor, John-Lewis Zinia Zaukuu, Istvan Kertesz, Zoltan Kovacs
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/27/2/388
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author Balkis Aouadi
Flora Vitalis
Zsanett Bodor
John-Lewis Zinia Zaukuu
Istvan Kertesz
Zoltan Kovacs
author_facet Balkis Aouadi
Flora Vitalis
Zsanett Bodor
John-Lewis Zinia Zaukuu
Istvan Kertesz
Zoltan Kovacs
author_sort Balkis Aouadi
collection DOAJ
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<sup>2</sup>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.
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spelling doaj.art-7ad47a0fc24640c2bf0360930474b8b02023-11-23T14:51:16ZengMDPI AGMolecules1420-30492022-01-0127238810.3390/molecules27020388NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee BlendsBalkis Aouadi0Flora Vitalis1Zsanett Bodor2John-Lewis Zinia Zaukuu3Istvan Kertesz4Zoltan Kovacs5Department of Measurements and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 14-16. Somlói Street, H-1118 Budapest, HungaryDepartment of Measurements and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 14-16. Somlói Street, H-1118 Budapest, HungaryDepartment of Measurements and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 14-16. Somlói Street, H-1118 Budapest, HungaryDepartment of Food Science and Technology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi 00233, GhanaDepartment of Measurements and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 14-16. Somlói Street, H-1118 Budapest, HungaryDepartment of Measurements and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 14-16. Somlói Street, H-1118 Budapest, HungaryCoffee 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<sup>2</sup>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.https://www.mdpi.com/1420-3049/27/2/388coffeeNIRSaquagramschemometricsauthenticationPCA
spellingShingle Balkis Aouadi
Flora Vitalis
Zsanett Bodor
John-Lewis Zinia Zaukuu
Istvan Kertesz
Zoltan Kovacs
NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends
Molecules
coffee
NIRS
aquagrams
chemometrics
authentication
PCA
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 coffee
NIRS
aquagrams
chemometrics
authentication
PCA
url https://www.mdpi.com/1420-3049/27/2/388
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