Advanced process analytical tools for identification of adulterants in edible oils - A review.

Adulteration of oils Chemometrics Oil quality Process analytical technology Spectroscopy

Journal

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

Informations de publication

Date de publication:
01 Feb 2022
Historique:
received: 28 04 2021
revised: 16 07 2021
accepted: 16 08 2021
pubmed: 30 8 2021
medline: 25 2 2023
entrez: 29 8 2021
Statut: ppublish

Résumé

This review summarizes the use of spectroscopic processes-based analytical tools coupled with chemometric techniques for the identification of adulterants in edible oil. Investigational approaches of process analytical tools such asspectroscopy techniques, nuclear magnetic resonance (NMR), hyperspectral imaging (HSI), e-tongue and e-nose combined with chemometrics were used to monitor quality of edible oils. Owing to the variety and intricacy of edible oil properties along with the alterations in attributes of the PAT tools, the reliability of the tool used and the operating factors are the crucial components which require attention to enhance the efficiency in identification of adulterants. The combination of process analytical tools with chemometrics offers a robust technique with immense chemotaxonomic potential. These involves identification of adulterants, quality control, geographical origin evaluation, process evaluation, and product categorization.

Identifiants

pubmed: 34455326
pii: S0308-8146(21)01904-X
doi: 10.1016/j.foodchem.2021.130898
pii:
doi:

Substances chimiques

Plant Oils 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

130898

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

E J Rifna (EJ)

Department of Food Process Engineering, National Institute of Technology, Rourkela 769008, Odisha, India.

R Pandiselvam (R)

Physiology, Biochemistry and Post-Harvest Technology Division, ICAR - Central Plantation Crops Research Institute, Kasaragod 671 124, Kerala, India. Electronic address: anbupandi1989@yahoo.co.in.

Anjineyulu Kothakota (A)

Agro-Processing & Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology (NIIST), Trivandrum 695 019, Kerala, India. Electronic address: anjineyuluk@niist.res.in.

K V Subba Rao (KV)

Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur, West Bengal 721302, India.

Madhuresh Dwivedi (M)

Department of Food Process Engineering, National Institute of Technology, Rourkela 769008, Odisha, India.

Manoj Kumar (M)

Chemical and Biochemical Processing Division, ICAR-Central Institute for Research on Cotton Technology, Matunga, Mumbai 400019, India.

Rohit Thirumdas (R)

Department of Food Process Technology, College of Food Science and Technology, PJTSAU, Telangana, India.

S V Ramesh (SV)

Physiology, Biochemistry and Post-Harvest Technology Division, ICAR - Central Plantation Crops Research Institute, Kasaragod 671 124, Kerala, India.

Articles similaires

Humans Middle Aged Female Male Surveys and Questionnaires
Adolescent Child Female Humans Male
Fucosyltransferases Drug Repositioning Molecular Docking Simulation Molecular Dynamics Simulation Humans

Classifications MeSH