Enhancing pathogen identification in cheese with high background microflora using an artificial neural network-enabled paper chromogenic array sensor approach
Zhen Jia(Auburn University), Boce Zhang(University of Florida), Hengyong Yu(University of Massachusetts Lowell), Dayang Wang(Jilin University), Katherine A. Thompson‐Witrick(Florida Sea Grant), Zhuangsheng Lin(University of Massachusetts Lowell), Yaguang Luo(United States Department of Agriculture), Zachary A. Cardoso(University of Massachusetts Lowell), Genevieve Flock(Combat Capabilities Development Command Soldier Center)
Cited by 16
Related Papers
Intracellular signaling pathways of inflammation modulated by dietary flavonoids: The most recent evidence
|Critical Reviews in Food Science and Nutrition|2017|199
Machine learning-enabled non-destructive paper chromogenic array detection of multiplexed viable pathogens on food
|Nature Food|2021|149
Nondestructive multiplex detection of foodborne pathogens with background microflora and symbiosis using a paper chromogenic array and advanced neural network
|Biosensors and Bioelectronics|2021|44
Surveillance of pathogenic bacteria on a food matrix using machine-learning-enabled paper chromogenic arrays
|Biosensors and Bioelectronics|2024|30