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Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near-Infrared Spectroscopy.
Foods. 2020 Jun 16; 9(6)F

Abstract

Species adulteration is a common problem in the coffee trade. Several attempts have been made to differentiate among species. However, finding an applicable methodology that would consider the various aspects of adulteration remains a challenge. This study investigated an ultraviolet-visible (UV-Vis) spectroscopy-based determination of caffeine and chlorogenic acid contents, as well as the applicability of non-targeted near-infrared (NIR) spectroscopy, to discriminate between green coffee beans of the Coffea arabica (Arabica) and Coffea canephora (Robusta) species from Java Island, Indonesia. The discrimination was conducted by measuring the caffeine and chlorogenic acid content in the beans using UV-Vis spectroscopy. The data related to both compounds was processed using linear discriminant analysis (LDA). Information about the diffuse reflectance (log 1/R) spectra of intact beans was determined by NIR spectroscopy and analyzed using multivariate analysis. UV-Vis spectroscopy attained an accuracy of 97% in comparison to NIR spectroscopy's accuracy by selected wavelengths of LDA (95%). The study suggests that both methods are applicable to discriminate reliably among species.

Authors+Show Affiliations

Division Quality of Plant Products, Department of Crop Sciences, University of Goettingen, Carl-Sprengel-Weg 1, 37075 Goettingen, Germany.Division Quality of Plant Products, Department of Crop Sciences, University of Goettingen, Carl-Sprengel-Weg 1, 37075 Goettingen, Germany.Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, D-37075 Goettingen, Germany.Division Quality of Plant Products, Department of Crop Sciences, University of Goettingen, Carl-Sprengel-Weg 1, 37075 Goettingen, Germany.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32560064

Citation

Adnan, Adnan, et al. "Reliable Discrimination of Green Coffee Beans Species: a Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid With Non-Targeted Near-Infrared Spectroscopy." Foods (Basel, Switzerland), vol. 9, no. 6, 2020.
Adnan A, Naumann M, Mörlein D, et al. Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near-Infrared Spectroscopy. Foods. 2020;9(6).
Adnan, A., Naumann, M., Mörlein, D., & Pawelzik, E. (2020). Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near-Infrared Spectroscopy. Foods (Basel, Switzerland), 9(6). https://doi.org/10.3390/foods9060788
Adnan A, et al. Reliable Discrimination of Green Coffee Beans Species: a Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid With Non-Targeted Near-Infrared Spectroscopy. Foods. 2020 Jun 16;9(6) PubMed PMID: 32560064.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Reliable Discrimination of Green Coffee Beans Species: A Comparison of UV-Vis-Based Determination of Caffeine and Chlorogenic Acid with Non-Targeted Near-Infrared Spectroscopy. AU - Adnan,Adnan, AU - Naumann,Marcel, AU - Mörlein,Daniel, AU - Pawelzik,Elke, Y1 - 2020/06/16/ PY - 2020/05/15/received PY - 2020/06/12/revised PY - 2020/06/12/accepted PY - 2020/6/21/entrez PY - 2020/6/21/pubmed PY - 2020/6/21/medline KW - Arabica KW - Robusta KW - caffeine KW - chlorogenic acid KW - food fraud KW - linear discriminant analysis JF - Foods (Basel, Switzerland) JO - Foods VL - 9 IS - 6 N2 - Species adulteration is a common problem in the coffee trade. Several attempts have been made to differentiate among species. However, finding an applicable methodology that would consider the various aspects of adulteration remains a challenge. This study investigated an ultraviolet-visible (UV-Vis) spectroscopy-based determination of caffeine and chlorogenic acid contents, as well as the applicability of non-targeted near-infrared (NIR) spectroscopy, to discriminate between green coffee beans of the Coffea arabica (Arabica) and Coffea canephora (Robusta) species from Java Island, Indonesia. The discrimination was conducted by measuring the caffeine and chlorogenic acid content in the beans using UV-Vis spectroscopy. The data related to both compounds was processed using linear discriminant analysis (LDA). Information about the diffuse reflectance (log 1/R) spectra of intact beans was determined by NIR spectroscopy and analyzed using multivariate analysis. UV-Vis spectroscopy attained an accuracy of 97% in comparison to NIR spectroscopy's accuracy by selected wavelengths of LDA (95%). The study suggests that both methods are applicable to discriminate reliably among species. SN - 2304-8158 UR - https://www.unboundmedicine.com/medline/citation/32560064/Reliable_Discrimination_of_Green_Coffee_Beans_Species:_A_Comparison_of_UV_Vis_Based_Determination_of_Caffeine_and_Chlorogenic_Acid_with_Non_Targeted_Near_Infrared_Spectroscopy_ DB - PRIME DP - Unbound Medicine ER -
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