Titelangaben
Bindereif, Stefan G. ; Brauer, Felix ; Schubert, Jan-Marcel ; Schwarzinger, Stephan ; Gebauer, Gerhard:
Complementary use of ¹H NMR and multi-element IRMS in association with chemometrics enables effective origin analysis of cocoa beans (Theobroma cacao L.).
In: Food Chemistry.
Bd. 299
(2019)
.
- 125105.
ISSN 0308-8146
DOI: https://doi.org/10.1016/j.foodchem.2019.125105
Abstract
Within the cocoa market (Theobroma cacao L.), quality and prices are often determined by geographical origin, making traceability indispensable. Therefore, to investigate possibilities of tracing by analytical methods, 48 carefully selected cocoa samples from 20 countries have been profiled using a combination of stable isotope-ratio mass spectrometry (IRMS) and proton nuclear magnetic resonance (1H NMR). Chemometric analysis of combined data sets from both, stable isotope data (δ13C, δ15N, δ18O, δ2H, %C, %N, %O, %H) and 1H NMR fingerprints, achieved good separation with increased classification rates compared to classification with data of the isolated methods. IRMS contributed primarily to discrimination between countries, while 1H NMR significantly contributed to separation of varieties, but also the regions within individual countries. This study thus demonstrates that combination of two analytical methods is an effective tool to enhance both, accuracy and precision, in authenticity testing of cocoa.
Weitere Angaben
Publikationsform: | Artikel in einer Zeitschrift |
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Begutachteter Beitrag: | Ja |
Institutionen der Universität: | Forschungseinrichtungen Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayreuther Zentrum für Ökologie und Umweltforschung - BayCEER Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Nordbayerisches Zentrum für NMR-Spektroskopie - NMR-Zentrum |
Titel an der UBT entstanden: | Ja |
Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik 500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften |
Eingestellt am: | 06 Aug 2019 06:34 |
Letzte Änderung: | 06 Jun 2023 06:17 |
URI: | https://eref.uni-bayreuth.de/id/eprint/51774 |