Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12738
Title: Authentication of pomegranate juice in binary and ternary mixtures with spectroscopic methods
Authors: Aykaç, Başak
Çavdaroğlu, Çağrı
Özen, Banu
Keywords: Adulteration
Chemometrics
Fruit juices
Pomegranate juice
Publisher: Elsevier
Abstract: Fruit juices are among the most commonly adulterated food products and especially pomegranate juice as a high value product is mixed with different adulterants for unfair economic profit. It was aimed to investigate the performances of UV–visible and Fourier-transform infrared (FTIR) spectroscopies combined with chemometric methods to determine adulteration of pomegranate juice with dark colored sour cherry and black carrot juices. Binary and ternary mixtures of pomegranate juice with 2 adulterants were prepared at 5–25% levels. After various data transformations, both spectroscopic data of authentic and adulterated samples were evaluated with different chemometric classification tools. Classification models with 97% correct classification rate for validation set were obtained both for UV–visible and FTIR spectral data. Accurate predictions of adulterant concentration were also achieved with chemometric models using both spectroscopic data. These spectroscopic techniques provide rapid and accurate prediction of pomegranate juice adulteration in binary and ternary mixtures with dark colored juices.
URI: https://doi.org/10.1016/j.jfca.2022.105100
https://hdl.handle.net/11147/12738
Appears in Collections:Food Engineering / Gıda Mühendisliği
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-S0889157522007189-main.pdf
  Until 2025-04-01
Article File2.65 MBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Apr 5, 2024

WEB OF SCIENCETM
Citations

2
checked on Mar 30, 2024

Page view(s)

116
checked on Apr 8, 2024

Google ScholarTM

Check




Altmetric


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