Nanosized quantum dots-wrapped metallic particles ensembles integrated into filter disc-based analytical device for garlic evaluation. Application to monitor fake pickled garlic in balsamic vinegar.

Filter disc Garlic Metallic nanoparticles Pickled garlic Quantum dots RGB

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
30 Mar 2024
Historique:
received: 12 06 2023
revised: 29 09 2023
accepted: 17 10 2023
medline: 27 11 2023
pubmed: 23 10 2023
entrez: 22 10 2023
Statut: ppublish

Résumé

Herein, an affordable and simple analytical device is presented to portable identify of garlic in 30 min; the evaluation needs no pre-treatment of sample. The analytical device fabrication was did employing a headspace-based nanosensor array using of inexpensive materials as commercial filter discs, quantum dots (QDs), and metallic nanoparticles (MNPs). The nanoarray is fabricated by the accumulation QDs on MNPs surface, that results in the production of ensembles of QDs/MNPs. The ensembles generate diverse colorimetric profiles as "fingerprints" regarding to each garlic sample. The volatile organosulfur compounds (OSCs) of garlic can prefer binding to the MNPs comparing with QDs. The color profiles can be displayed with a smartphone camera, which can be quantitatively distinguished by chemometrics approaches. The analytical device was used to assessment of fake pickled samples in balsamic vinegar. This device proves well potential for qualitative control of garlic.

Identifiants

pubmed: 37866344
pii: S0308-8146(23)02427-5
doi: 10.1016/j.foodchem.2023.137809
pii:
doi:

Substances chimiques

Acetic Acid Q40Q9N063P

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

137809

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ailin Shykholeslami (A)

Chemometrics Laboratory, Department of Chemistry, Faculty of Science, University of Kurdistan, P. O. Box 416, Sanandaj 66177-15175, Iran.

Raouf Ghavami (R)

Chemometrics Laboratory, Department of Chemistry, Faculty of Science, University of Kurdistan, P. O. Box 416, Sanandaj 66177-15175, Iran. Electronic address: r.ghavami@uok.ac.ir.

Zolaikha Rasouli (Z)

Chemometrics Laboratory, Department of Chemistry, Faculty of Science, University of Kurdistan, P. O. Box 416, Sanandaj 66177-15175, Iran. Electronic address: z.rasouli@uok.ac.ir.

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Classifications MeSH