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HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents

A high-pressure liquid chromatographic method coupled to diode array detector (HPLC-DAD) was developed for the determination of phenolic compounds that could be used as markers in authentication studies of walnuts belonging to the Chandler variety, originating from Bulgaria, Greece, and France. An u...

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Detalles Bibliográficos
Autores principales: Kalogiouri, Natasa P., Samanidou, Victoria F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468111/
https://www.ncbi.nlm.nih.gov/pubmed/34574256
http://dx.doi.org/10.3390/foods10092145
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author Kalogiouri, Natasa P.
Samanidou, Victoria F.
author_facet Kalogiouri, Natasa P.
Samanidou, Victoria F.
author_sort Kalogiouri, Natasa P.
collection PubMed
description A high-pressure liquid chromatographic method coupled to diode array detector (HPLC-DAD) was developed for the determination of phenolic compounds that could be used as markers in authentication studies of walnuts belonging to the Chandler variety, originating from Bulgaria, Greece, and France. An ultrasound-assisted extraction (UAE) protocol applied in the extraction of phenolic compounds was optimized. The method was validated and the relative standard deviations (RSD%) of the within-day, and between-day assays was lower than 6.3 and 11.1, respectively, showing adequate precision, and good accuracy ranging from 86.4 (sinapic acid) to 98.4% (caffeic acid) for within-day assay, and from 90.1 (gallocatechin gallate) to 100.6% (gallic acid) for between-day assay. Eighteen phenolic compounds were determined belonging to the classes of phenolic acids and flavonoids. The quantification results were further processed with chemometrics, and a robust partial least square–discriminant analysis (PLS-DA) model was developed for the classification of the samples according to their geographical origin, proposing markers that could be used for the control of walnuts authenticity and the detection of fraudulent incidents.
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spelling pubmed-84681112021-09-27 HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents Kalogiouri, Natasa P. Samanidou, Victoria F. Foods Article A high-pressure liquid chromatographic method coupled to diode array detector (HPLC-DAD) was developed for the determination of phenolic compounds that could be used as markers in authentication studies of walnuts belonging to the Chandler variety, originating from Bulgaria, Greece, and France. An ultrasound-assisted extraction (UAE) protocol applied in the extraction of phenolic compounds was optimized. The method was validated and the relative standard deviations (RSD%) of the within-day, and between-day assays was lower than 6.3 and 11.1, respectively, showing adequate precision, and good accuracy ranging from 86.4 (sinapic acid) to 98.4% (caffeic acid) for within-day assay, and from 90.1 (gallocatechin gallate) to 100.6% (gallic acid) for between-day assay. Eighteen phenolic compounds were determined belonging to the classes of phenolic acids and flavonoids. The quantification results were further processed with chemometrics, and a robust partial least square–discriminant analysis (PLS-DA) model was developed for the classification of the samples according to their geographical origin, proposing markers that could be used for the control of walnuts authenticity and the detection of fraudulent incidents. MDPI 2021-09-10 /pmc/articles/PMC8468111/ /pubmed/34574256 http://dx.doi.org/10.3390/foods10092145 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kalogiouri, Natasa P.
Samanidou, Victoria F.
HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents
title HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents
title_full HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents
title_fullStr HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents
title_full_unstemmed HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents
title_short HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents
title_sort hplc fingerprints for the characterization of walnuts and the detection of fraudulent incidents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468111/
https://www.ncbi.nlm.nih.gov/pubmed/34574256
http://dx.doi.org/10.3390/foods10092145
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