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Advanced Process Analytical Tools for Identification of Adulterants in Edible oils–A review

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dc.contributor.author Rifna, E J
dc.contributor.author Pandiselvam, R
dc.contributor.author Kothakota, A
dc.contributor.author Rao, K S
dc.contributor.author Dwivedi, M
dc.contributor.author Kumar, M
dc.contributor.author Thirumdas, R
dc.contributor.author Ramesh, S V
dc.date.accessioned 2022-05-14T09:47:02Z
dc.date.available 2022-05-14T09:47:02Z
dc.date.issued 2022-02-01
dc.identifier.citation Food Chemistry; 369:130898 en_US
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S030881462101904X
dc.identifier.uri http://hdl.handle.net/123456789/4022
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject process analytical technology en_US
dc.subject spectroscopy en_US
dc.subject oil quality en_US
dc.subject adulteration of oils en_US
dc.subject chemometrics en_US
dc.title Advanced Process Analytical Tools for Identification of Adulterants in Edible oils–A review en_US
dc.type Article en_US


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  • 2022
    Research articles authored by NIIST researchers published in 2022

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