Prediction of maize flour adulteration in chickpea flour (

Adulteration Besan Chickpea flour Maize flour Modified partial least square regression Near infrared spectroscopy

Journal

Journal of food science and technology
ISSN: 0022-1155
Titre abrégé: J Food Sci Technol
Pays: India
ID NLM: 0056471

Informations de publication

Date de publication:
Aug 2022
Historique:
revised: 08 02 2022
accepted: 25 03 2022
pubmed: 5 5 2022
medline: 5 5 2022
entrez: 4 5 2022
Statut: ppublish

Résumé

The present study was performed to develop Near-infrared spectroscopy based prediction method for the quantification of the maize flour adulteration in chickpea flour. Adulterated samples of Chickpea flour ( The online version contains supplementary material available at 10.1007/s13197-022-05456-7.

Identifiants

pubmed: 35505664
doi: 10.1007/s13197-022-05456-7
pii: 5456
pmc: PMC9051818
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3130-3138

Informations de copyright

© Association of Food Scientists & Technologists (India) 2022.

Déclaration de conflit d'intérêts

Conflict of interestThe author declares that they have no conflict of interest.

Auteurs

Manju Bala (M)

ICAR-Central Institute of Post-Harvest Engineering and Technology, Ludhiana, Punjab India.

Swati Sethi (S)

ICAR-Central Institute of Post-Harvest Engineering and Technology, Ludhiana, Punjab India.

Sanjula Sharma (S)

Punjab Agricultural University, Ludhiana, Punjab India.

D Mridula (D)

ICAR-Central Institute of Post-Harvest Engineering and Technology, Ludhiana, Punjab India.

Gurpreet Kaur (G)

Punjab Agricultural University, Ludhiana, Punjab India.

Classifications MeSH