Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sandra K. Harrison"'
Autor:
Mark C. Gryka, Tomasz P. Wrobel, Rajveer Singh, Prabuddha Mukherjee, Matthew R. Kole, Sandra K. Harrison, Rohit Bhargava
Publikováno v:
Applied Spectroscopy. 73:687-697
Rapid measurements of protein and oil content are important for a variety of uses, from sorting of soybeans at the point of harvest to feedback during soybean meal production. In this study, our goal is to develop a simple protocol to permit rapid an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c851e970d766348eb8b996b7fd209ee8
https://doi.org/10.1177/0003702818815642
https://doi.org/10.1177/0003702818815642
Autor:
Sandra K. Harrison, Linda S. Kull, Dennis Thompson, John McKinney, Bridget Owen, Matthew V. Schulmerich, Rohit Bhargava, Matthew K. Gelber, Hossain M. Azam
Publikováno v:
Analytical Chemistry. 85:11376-11381
Soybeans are a commodity crop of significant economic and nutritional interest. As an important source of protein, buyers of soybeans are interested in not only the total protein content but also in the specific amino acids that comprise the total pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8d96789255320d3e9358a9737b3dc30
https://doi.org/10.1021/ac402284b
https://doi.org/10.1021/ac402284b
Autor:
Matthew R. Kole, Sandra K. Harrison, Michael J. Walsh, John McKinney, Dennis Thompson, Matthew V. Schulmerich, Rohit Bhargava, Rong Kong, Matthew K. Gelber, Linda S. Kull
Publikováno v:
Journal of Agricultural and Food Chemistry. 60:8097-8102
The soybean industry requires rapid, accurate, and precise technologies for the analyses of seed/grain constituents. While the current gold standard for nondestructive quantification of economically and nutritionally important soybean components is n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72b5969be3a51f018fa958bab699a052
https://doi.org/10.1021/jf301247w
https://doi.org/10.1021/jf301247w
Publikováno v:
2001 Sacramento, CA July 29-August 1,2001.
A population of 1042 samples were scanned using a NIRSystems 6500 and 5000 spectrophotometers to develop a calibration for amylose content in corn. The NIRSystems 6500 calibration using the 3,5,5,1 math treatment with unground samples predicted its v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20891f6eeab23f1b2a43420c89d33953
https://doi.org/10.13031/2013.7303
https://doi.org/10.13031/2013.7303