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Data de publicació

2022

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cc-by (c) Vilà Romeu, Mònica et al., 2022
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/189617

High-throughput Flow Injection Analysis-Mass Spectrometry (FIA-MS) Fingerprinting for the Authentication of Tea. Application to the Detection of Teas Adulterated with Chicory.

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Recurs relacionat

https://doi.org/10.3390/foods11142153

Resum

Tea is a broadly consumed beverage worldwide that is susceptible to fraudulent practices, in-cluding its adulteration with other plants such as chicory extracts. In the present work, a non-targeted high-throughput flow injection analysis-mass spectrometry (FIA-MS) fingerprint-ing methodology was employed to characterize and classify different varieties of tea (black, green, red, oolong, and white) and chicory extracts by principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). Detection and quantitation of frauds in black and green tea extracts adulterated with chicory were also evaluated as proofs of concept using partial least squares (PLS) regression. Overall, PLS-DA showed that FIA-MS fingerprints in both negative and positive ionization modes were excellent sample chemical descriptors to dis-criminate tea samples from chicory independently of the tea product variety, as well as to clas-sify and discriminate among some of the analyzed tea groups. The classification rate was 100% in all the paired cases ¿i.e., each tea product variety versus chicory¿ by PLS-DA calibration and prediction models showing their capability to assess tea authentication. The results obtained for chicory adulteration detection and quantitation using PLS were satisfactory in the two adultera-tion cases evaluated (green and black teas adulterated with chicory), with calibration, cross-validation, and prediction errors bellow 5.8%, 8.5%, and 16.4%, respectively. Thus, the non-targeted FIA-MS fingerprinting methodology demonstrated to be a high-throughput, cost-effective, simple, and reliable approach to assess tea authentication issues.

Matèries

Te, Quimiometria, Espectrometria de masses

Matèries (anglès)

Tea, Chemometrics, Mass spectrometry

Citació

Col·leccions

Articles publicats en revistes (Enginyeria Química i Química Analítica)
Articles publicats en revistes (Institut de Recerca en Nutrició i Seguretat Alimentària (INSA·UB))

Citació

VILÀ ROMEU, Mònica, et al. High-throughput Flow Injection Analysis-Mass Spectrometry (FIA-MS) Fingerprinting for the Authentication of Tea. Application to the Detection of Teas Adulterated with Chicory. Foods. 2022. Vol. 11, num. 2153. ISSN 2304-8158. [consulted: 13 of August of 2026]. Available at: https://hdl.handle.net/2445/189617

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