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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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 |
work_keys_str_mv |
AT natasapkalogiouri hplcfingerprintsforthecharacterizationofwalnutsandthedetectionoffraudulentincidents AT victoriafsamanidou hplcfingerprintsforthecharacterizationofwalnutsandthedetectionoffraudulentincidents |
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