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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Main Authors: Natasa P. Kalogiouri, Victoria F. Samanidou
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/10/9/2145
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spelling doaj-ffc5a8229268439a8f97578496d86beb2021-09-26T00:09:39ZengMDPI AGFoods2304-81582021-09-01102145214510.3390/foods10092145HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent IncidentsNatasa P. Kalogiouri0Victoria F. Samanidou1Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceLaboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceA 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.https://www.mdpi.com/2304-8158/10/9/2145walnutsHPLC-DADauthenticityfood fraudchemometrics
collection DOAJ
language English
format Article
sources DOAJ
author Natasa P. Kalogiouri
Victoria F. Samanidou
spellingShingle Natasa P. Kalogiouri
Victoria F. Samanidou
HPLC Fingerprints for the Characterization of Walnuts and the Detection of Fraudulent Incidents
Foods
walnuts
HPLC-DAD
authenticity
food fraud
chemometrics
author_facet Natasa P. Kalogiouri
Victoria F. Samanidou
author_sort Natasa P. Kalogiouri
title 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_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_sort hplc fingerprints for the characterization of walnuts and the detection of fraudulent incidents
publisher MDPI AG
series Foods
issn 2304-8158
publishDate 2021-09-01
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.
topic walnuts
HPLC-DAD
authenticity
food fraud
chemometrics
url https://www.mdpi.com/2304-8158/10/9/2145
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