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A SMART methodology for assessment of hexanal in potato crisps using electronic nose technology: sensor screening by scalar machine learning classifier method

Crossref DOI link: https://doi.org/10.1007/s13197-023-05831-y

Published Online: 2023-11-24

Published Print: 2024-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bose, Anupama

Bhattacharyya, Nabarun

Bhattacharjee, Paramita https://orcid.org/0000-0002-5620-1675
Funding

Funding for this research was provided by:

Technical Education Quality Improvement Program (TEQIP Phase-II) of Jadavpur University, Kolkata, India, supported by the Ministry of Human Resource Development, Govt. of India (P-1/RS/204/15)
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Text and Data Mining valid from 2023-11-24

Version of Record valid from 2023-11-24
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Article History

Revised: 18 July 2023

Accepted: 26 August 2023

First Online: 24 November 2023

Declarations

:

: The authors declare no conflict of interest.

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