Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12134
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÇavdaroğlu, Çağrıen_US
dc.contributor.authorÖzen, Banuen_US
dc.date.accessioned2022-07-05T13:30:57Z-
dc.date.available2022-07-05T13:30:57Z-
dc.date.issued2022-06-
dc.identifier.issn0308-8146-
dc.identifier.urihttps://doi.org/10.1016/j.foodchem.2022.132150-
dc.identifier.urihttps://hdl.handle.net/11147/12134-
dc.description.abstractVinegar is one of the commonly adulterated food products, and variations in product and adulterant spectrum make the detection of adulteration a challenging task. This study aims to determine adulteration of grape vinegars with spirit vinegar and synthetic acetic acid using different spectroscopic methods. For this purpose, grape vinegars were mixed separately with spirit vinegar and diluted synthetic acetic acid (4%) at 1–50% (v/v) ratios. Spectra of vinegars and mixtures were obtained with UV–visible and Fourier-transform infrared (FTIR) spectrometers. Data were evaluated with various chemometric methods and artificial neural networks (ANN). Correct classification rates of at least 94.3% and higher values were obtained by the evaluation of both spectroscopic data along with their combination with chemometric methods and ANN for discrimination of non-adulterated and adulterated vinegars. UV–vis and FTIR spectroscopy can be rapid and accurate ways of detecting adulteration in vinegars regardless of adulterant type.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofFood Chemistryen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectAdulterationen_US
dc.subjectArtificial neural networksen_US
dc.subjectChemometricsen_US
dc.titleDetection of vinegar adulteration with spirit vinegar and acetic acid using UV–visible and Fourier transform infrared spectroscopyen_US
dc.typeArticleen_US
dc.authorid0000-0001-6334-3586en_US
dc.authorid0000-0002-0428-320X-
dc.institutionauthorÇavdaroğlu, Çağrıen_US
dc.institutionauthorÖzen, Banuen_US
dc.departmentİzmir Institute of Technology. Food Engineeringen_US
dc.identifier.wosWOS:000790189200010en_US
dc.identifier.scopus2-s2.0-85123029750en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.foodchem.2022.132150-
dc.identifier.pmid35065489-
dc.contributor.affiliationIzmir Institute of Technologyen_US
dc.contributor.affiliationIzmir Institute of Technologyen_US
dc.relation.issn0308-8146en_US
dc.description.volume379en_US
dc.identifier.wosqualityQ1-
dc.identifier.scopusqualityQ1-
dc.identifier.wosqualityttpTop10%en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextembargo_20250701-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.languageiso639-1en-
crisitem.author.dept01. Izmir Institute of Technology-
crisitem.author.dept03.08. Department of Food Engineering-
Appears in Collections:Food Engineering / Gıda Mühendisliği
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File Description SizeFormat 
1-s2.0-S030881462200111X-main.pdf
  Until 2025-07-01
Article3.51 MBAdobe PDFView/Open    Request a copy
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

20
checked on Nov 22, 2024

WEB OF SCIENCETM
Citations

18
checked on Oct 26, 2024

Page view(s)

908
checked on Nov 18, 2024

Download(s)

2
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.