Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat.

Saved in:
Bibliographic Details
Title: Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat.
Authors: Tian Y; Department of Biological and Agriculture Engineering, University of Arkansas, Fayetteville, AR, United States., Liu Z; Department of Animal Science, University of Arkansas, Fayetteville, AR, United States., Pallerla C; Department of Food Science, University of Arkansas, Fayetteville, AR, United States., Mahmoudi S; Department of Biological and Agriculture Engineering, University of Arkansas, Fayetteville, AR, United States., Bist RB; Department of Biological and Agriculture Engineering, University of Arkansas, Fayetteville, AR, United States.; Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC, United States., Xiao Y; Department of Biological and Agriculture Engineering, University of Arkansas, Fayetteville, AR, United States., Howell T; Department of Biological and Agriculture Engineering, University of Arkansas, Fayetteville, AR, United States., Subbiah J; Department of Food Science, University of Arkansas, Fayetteville, AR, United States., Wang D; Department of Biological and Agriculture Engineering, University of Arkansas, Fayetteville, AR, United States.; Department of Food Science, University of Arkansas, Fayetteville, AR, United States.
Source: Frontiers in artificial intelligence [Front Artif Intell] 2026 Mar 26; Vol. 9, pp. 1741144. Date of Electronic Publication: 2026 Mar 26 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2624-8212
DOI:10.3389/frai.2026.1741144