Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kuanrong Zhu"'
Publikováno v:
Foods, Vol 11, Iss 15, p 2211 (2022)
This study aims to generate predictive models based on mid-infrared and Raman spectral fingerprints to characterize unique compositional traits of traditional and bourbon barrel (BBL)-aged maple syrups, allowing for fast product authentication and de
Externí odkaz:
https://doaj.org/article/d32d5c96cabd4db7883c8dfb428bfcad
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:
Kuanrong Zhu, Didem Peren Aykas, Nickolas Anderson, Christopher Ball, Marcal Plans, Luis Rodriguez-Saona
Publikováno v:
Journal of Cereal Science. 107:103520
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97d8e4f6b0e554cfd9ecb7c8b51fd077
https://doi.org/10.1016/j.jcs.2022.103520
https://doi.org/10.1016/j.jcs.2022.103520