Innovative technology integration: E tongue, near infrared grain tester & machine vision approaches for amylose content & quality characterization

Autor: Ufaq Fayaz, Syed Zameer Hussain, Bazila Naseer, Gopinath Bej, Abhra Pal, Subrata Sarkar, Nazrana Rafique Wani, Khalid Mushtaq, Salwee Yasmin, B.S. Dhekale, Rishi Richa, Sobiya Manzoor
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Food Chemistry: X, Vol 24, Iss , Pp 101805- (2024)
Druh dokumentu: article
ISSN: 2590-1575
DOI: 10.1016/j.fochx.2024.101805
Popis: E-tongue, machine vision and NIR systems were used to standardize the quality measurements in twenty rice genotypes grown in Highland Himalayan regions of Kashmir, in order to overcome the constraints of manual measurements. IRCTN-312 showed highest amylose content of 20.74 % and 20.70 % using iodometric method and NIR tester, which was validated by the highest norm value of 34.158 by E-tongue. From these results, genotypes such as GSR-43, GS-103, GSR-23B, GSR-60, SR-4, GSR-46, Koshihikari, GSR-64, GSR-32, GSR-49, GSR-4, GSR-42, GS-459, SKUA-494 and SKUA-540 were classified as low amylose and C-3, K-332, M4–22 and IRCTN-312 were classified as intermediate amylose in the present study. Lowest percentage of damaged grains and chalk ratio was found in GSR-23B. SKUA-494 recorded highest L/W ratio using both the systems. Highest head rice yield and elongation ratio was found in GSR-23B and SKUA-494 genotypes respectively. Highest lightness (L*) value was recorded for Koshihikari genotype.
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