LAPSE:2023.28310
Published Article
LAPSE:2023.28310
Authentication of Coffee Blends by 16-O-Methylcafestol Quantification Using NMR Spectroscopy
Ya-Tze Lin, You-Lun We, Ya-Min Kao, Su-Hsiang Tseng, Der-Yuan Wang, Shin-Yu Chen
April 11, 2023
Abstract
In 2019, a coffee chain in Taiwan was found to be mixing relatively cheap Robusta beans into products marketed as 100% Arabica. Many studies show 16-OMC is a remarkable marker to distinguish Robusta from Arabica beans, and nuclear magnetic resonance (NMR) is a convenient and efficient technique for 16-OMC quantification. Here, a 500 MHz NMR was employed to determine the content of 16-OMC in coffee for adulterate evaluation. A total of 118 samples were analyzed including products from the coffee chain, raw materials (single coffee beans), and other commercial products. The contents of 16-OMC in single Robusta beans were between 1005.55 and 3208.32 mg/kg and were absent from single Arabica beans. The surveillance results indicate that 17 out of 47 blend products claiming to contain 100% Arabica had 16-OMC quantifications in the range of 155.74−784.60 mg/kg. Furthermore, all 17 products were produced by the same coffee chain. We confirmed that coffee chain adulterated Arabica with Robusta in parts of their products, which claimed to include 100% Arabica. Moreover, this work highlights the free form of 16-OMC was esterified by coffee instantly. The decomposition products of 16-OMC were observed obviously in green Robusta while the mechanisms remain unclear. Future research should focus more on these aspects to further increase our understanding of these mechanisms.
Keywords
adulteration, Arabica, coffee, NMR, Robusta
Subject
Suggested Citation
Lin YT, We YL, Kao YM, Tseng SH, Wang DY, Chen SY. Authentication of Coffee Blends by 16-O-Methylcafestol Quantification Using NMR Spectroscopy. (2023). LAPSE:2023.28310
Author Affiliations
Lin YT: Division of Research and Analysis, Taiwan Food and Drug Administration, Taipei 115209, Taiwan
We YL: Division of Research and Analysis, Taiwan Food and Drug Administration, Taipei 115209, Taiwan
Kao YM: Division of Research and Analysis, Taiwan Food and Drug Administration, Taipei 115209, Taiwan
Tseng SH: Division of Research and Analysis, Taiwan Food and Drug Administration, Taipei 115209, Taiwan
Wang DY: Division of Research and Analysis, Taiwan Food and Drug Administration, Taipei 115209, Taiwan [ORCID]
Chen SY: Department of Food Science, National Pingtung University of Science and Technology, Pingtung 912301, Taiwan [ORCID]
Journal Name
Processes
Volume
11
Issue
3
First Page
871
Year
2023
Publication Date
2023-03-14
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11030871, Publication Type: Journal Article
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LAPSE:2023.28310
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https://doi.org/10.3390/pr11030871
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