Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Muhammad Mudassir Arif Chaudhry"'
Autor:
Sunday J. Olakanmi, Digvir S. Jayas, Jitendra Paliwal, Muhammad Mudassir Arif Chaudhry, Catherine Rui Jin Findlay
Publikováno v:
Foods, Vol 13, Iss 2, p 231 (2024)
As the demand for alternative protein sources and nutritional improvement in baked goods grows, integrating legume-based ingredients, such as fava beans, into wheat flour presents an innovative alternative. This study investigates the potential of hy
Externí odkaz:
https://doaj.org/article/f2d043f021904bea880c2d0dfe080ace
Autor:
Mohammad Nadimi, L. G. Divyanth, Muhammad Mudassir Arif Chaudhry, Taranveer Singh, Georgia Loewen, Jitendra Paliwal
Publikováno v:
Foods, Vol 13, Iss 1, p 120 (2023)
The high demand for flax as a nutritious edible oil source combined with increasingly restrictive import regulations for oilseeds mandates the exploration of novel quantity and quality assessment methods. One pervasive issue that compromises the viab
Externí odkaz:
https://doaj.org/article/051c72e628254e4ba4153a0e6657640f
Autor:
Danial Fatchurrahman, Mojtaba Nosrati, Maria Luisa Amodio, Muhammad Mudassir Arif Chaudhry, Maria Lucia Valeria de Chiara, Leonarda Mastrandrea, Giancarlo Colelli
Publikováno v:
Foods, Vol 10, Iss 7, p 1676 (2021)
The potential of hyperspectral imaging for the prediction of the internal composition of goji berries was investigated. The prediction performances of models obtained in the Visible-Near Infrared (VIS-NIR) (400–1000 nm) and in the Near Infrared (NI
Externí odkaz:
https://doaj.org/article/450fb5a25d0d45be86ef019d456e513c
Publikováno v:
Journal of Food Measurement and Characterization. 16:3640-3650
Bison muscle discrimination and color stability prediction using near-infrared hyperspectral imaging
Autor:
Chyngyz Erkinbaev, Jitendra Paliwal, Argenis Rodas-González, Surendranath P. Suman, Mahmudul Hasan, Muhammad Mudassir Arif Chaudhry
Publikováno v:
Biosystems Engineering. 209:1-13
A novel photonics-based multivariate pattern recognition technique is presented to segregate bison meat samples based on muscle type, ageing, and retail display period. The technique uses color attributes obtained from visible to near-infrared hypers
Autor:
Farahmand Babellahi, Giancarlo Colelli, Leonarda Mastrandrea, Maria Lucia Valeria de Chiara, Federico Marini, Muhammad Mudassir Arif Chaudhry, Maria Luisa Amodio
Publikováno v:
Biosystems Engineering. 198:137-146
The early non-destructive detection of chilling injury (CI) in aubergine fruit was investigated using spectroscopy. CI is a physiological disorder that occurs when the fruit is subjected to temperatures lower than 12 °C. Reference measurements of CI
Autor:
Sheena Malhotra, Muhammad Mudassir Arif Chaudhry, Rani Puthukulangara Ramachandran, Jitendra Paliwal
Publikováno v:
Journal of Stored Products Research. 100:102067
Autor:
Md Mahmudul Hasan, Muhammad Mudassir Arif Chaudhry, Chyngyz Erkinbaev, Jitendra Paliwal, Surendranath P. Suman, Argenis Rodas-Gonzalez
Publikováno v:
Meat science. 188
The study objective was to investigate the potential for using visible near-infrared (Vis-NIR) and short wave infrared (SWIR) spectroscopy to segregate bison portions based on muscle types and storage periods. In the Vis-NIR range, the principal comp
Autor:
Chitra Sivakumar, Muhammad Mudassir Arif Chaudhry, Mohammad Nadimi, Jitendra Paliwal, Janelle Courcelles
Publikováno v:
Powder Technology. 409:117803
Publikováno v:
Journal of Stored Products Research. 97:101965