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https://doi.org/10.21256/zhaw-20785
Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
Art der Begutachtung: | Peer review (Publikation) |
Titel: | HPTLC fingerprint profile analysis of coffee polyphenols during different roast trials |
Autor/-in: | Pedan, Vasilisa Stamm, Elisa Do, Tiên Holinger, Mirjam Reich, Eike |
et. al: | No |
DOI: | 10.1016/j.jfca.2020.103610 10.21256/zhaw-20785 |
Erschienen in: | Journal of Food Composition and Analysis |
Band(Heft): | 94 |
Heft: | 103610 |
Erscheinungsdatum: | 2020 |
Verlag / Hrsg. Institution: | Elsevier |
ISSN: | 0889-1575 1096-0481 |
Sprache: | Englisch |
Schlagwörter: | Coffee bean; Coffee roasting; HPTLC fingerprinting; Phenolic compound; Principal component analysis; Chlorogenic acid |
Fachgebiet (DDC): | 663: Getränketechnologie |
Zusammenfassung: | Coffee beans are a rich source of bioactive phytochemicals such as chlorogenic acids (CGA). During the roasting process, the CGA content changes dramatically. An effective HPTLC method was developed which allows a fast characterization of the eight main CGA present in green and roasted coffee beans and their distribution during roasting trials. The method was optimized with regard to three caffeoylquinic acids (CQA), two feruloylquinic acids (FQA) and three dicaffeoylquinic acids (di-CQA). The best separation for a fingerprint consisting of eight phenolic compounds as markers was achieved on silica gel 60 F254 HPTLC plates with a solvent mixture of diethyl ether, formic acid, acetic acid, water, acetophenone and heptane (30:3:9:50:30:10) (v/v/v/v/v/v). Staining with natural product reagent A enabled visualization and quantitative evaluation. Principal component analysis can help to visualize the evolution of the chlorogenic acids throughout the process also with the aim of controlling the roasting degree. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/20785 |
Volltext Version: | Publizierte Version |
Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
Departement: | Life Sciences und Facility Management |
Organisationseinheit: | Institut für Lebensmittel- und Getränkeinnovation (ILGI) |
Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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2020_Pedan-etal_HPTLC-fingerprint-profile-analysis-coffee-roast.pdf | 3.11 MB | Adobe PDF | ![]() Öffnen/Anzeigen |
Zur Langanzeige
Pedan, V., Stamm, E., Do, T., Holinger, M., & Reich, E. (2020). HPTLC fingerprint profile analysis of coffee polyphenols during different roast trials. Journal of Food Composition and Analysis, 94(103610). https://doi.org/10.1016/j.jfca.2020.103610
Pedan, V. et al. (2020) ‘HPTLC fingerprint profile analysis of coffee polyphenols during different roast trials’, Journal of Food Composition and Analysis, 94(103610). Available at: https://doi.org/10.1016/j.jfca.2020.103610.
V. Pedan, E. Stamm, T. Do, M. Holinger, and E. Reich, “HPTLC fingerprint profile analysis of coffee polyphenols during different roast trials,” Journal of Food Composition and Analysis, vol. 94, no. 103610, 2020, doi: 10.1016/j.jfca.2020.103610.
PEDAN, Vasilisa, Elisa STAMM, Tiên DO, Mirjam HOLINGER und Eike REICH, 2020. HPTLC fingerprint profile analysis of coffee polyphenols during different roast trials. Journal of Food Composition and Analysis. 2020. Bd. 94, Nr. 103610. DOI 10.1016/j.jfca.2020.103610
Pedan, Vasilisa, Elisa Stamm, Tiên Do, Mirjam Holinger, and Eike Reich. 2020. “HPTLC Fingerprint Profile Analysis of Coffee Polyphenols during Different Roast Trials.” Journal of Food Composition and Analysis 94 (103610). https://doi.org/10.1016/j.jfca.2020.103610.
Pedan, Vasilisa, et al. “HPTLC Fingerprint Profile Analysis of Coffee Polyphenols during Different Roast Trials.” Journal of Food Composition and Analysis, vol. 94, no. 103610, 2020, https://doi.org/10.1016/j.jfca.2020.103610.
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