Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mei-Ling Shotts"'
Autor:
Didem Peren Aykas, Christopher Ball, Amanda Sia, Kuanrong Zhu, Mei-Ling Shotts, Anna Schmenk, Luis Rodriguez-Saona
Publikováno v:
Sensors, Vol 20, Iss 21, p 6283 (2020)
This study evaluates a novel handheld sensor technology coupled with pattern recognition to provide real-time screening of several soybean traits for breeders and farmers, namely protein and fat quality. We developed predictive regression models that
Externí odkaz:
https://doaj.org/article/4a80ed8018764e75a534307088f40959
Autor:
Luis E. Rodriguez-Saona, Kevin Anthony Wong, Didem Peren Aykas, Mei-Ling Shotts, Alex Michael Milligan, Marçal Plans
Publikováno v:
Journal of AOAC INTERNATIONAL. 104:29-38
In 2015, the US Food and Drug Administration passed a ban on the “generally recognized as safe” status of partially hydrogenated oils (PHOs), and in June 2018, PHOs were prohibited from being used. Our objective was to develop a predictive model
Publikováno v:
Food Control. 117:107346
Our aim was to develop a rapid non-targeted approach to authenticate commercial honey combining Raman spectroscopy and pattern recognition analysis. Honey samples (n = 97) were collected from local and global grocery stores and online vendors. Spectr
Autor:
Marçal Plans Pujolras, Richard A. Pittman, Mei-Ling Shotts, Luis E. Rodriguez-Saona, Sarah M. Herringshaw, Huseyin Ayvaz
Publikováno v:
Journal of the American Oil Chemists' Society. 92:175-184
The performance of a portable infrared system combined with pattern recognition to discriminate between organically and conventionally produced bovine butter samples as well as to predict the levels of conjugated linoleic acid (CLA) were evaluated. S
Despite the high economic and safety impact of food adulteration, food surveillance is limited by high costs and limited resources available to regulatory agencies. Infrared (IR) spectroscopy can provide rapid and cost-effective tools for effective f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7191a640babb026a3a0ce5b65b97f27e
https://doi.org/10.1016/b978-0-08-100220-9.00004-7
https://doi.org/10.1016/b978-0-08-100220-9.00004-7