Terry Howell
Professor, Department Chair
Also affiliated: University of Nebraska–Lincoln (2020–2021)
Biological and Agricultural Engineering
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Terry Howell's research focuses on microbial food safety and the development of biosensing technologies for pathogen detection. His work includes investigating methods for inactivating foodborne pathogens like Salmonella and Enterococcus faecium on dried herbs, such as basil, using thermal treatments and gaseous chlorine dioxide. He has also explored the efficacy of these methods against specific strains. Concurrently, Howell has contributed to the field of biosensing, with recent publications detailing portable, wireless, and dual-camera systems for the rapid detection of E. coli O157:H7 in poultry meat. These systems utilize electrochemical impedance and coherent-light diffraction, incorporating machine learning for enhanced detection and strain-level recognition. Earlier work by Howell involved studies on bacterial antigens and their variation in oral streptococci populations, as well as research on cariogenic bacteria in rats.
Metrics
- h-index: 3
- Publications: 9
- Citations: 67
Positions
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Professor, Department Chair 2023–presentUniversity of Arkansas UAF | BAEG | Department of Biological and Agricultural Engineering ORCID
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Department Head 2023–presentUniversity of Arkansas at Fayetteville Biological and Agricultural Engineering ORCID
Selected Publications
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Dual-camera coherent-light diffraction biosensor for multipathogen screening and strain-level recognition of bacterial colonies (2026)
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Autonomous robotic-biosensing platform for real-time microbial surveillance in poultry processing facilities (2026)
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Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat (2026)
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Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection (2026)
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Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition (2025)
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Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection (2025)
Collaboration Network
Top Collaborators
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
- Autonomous robotic-biosensing platform for real-time microbial surveillance in poultry processing facilities
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
- Dual-camera coherent-light diffraction biosensor for multipathogen screening and strain-level recognition of bacterial colonies
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Autonomous robotic-biosensing platform for real-time microbial surveillance in poultry processing facilities
- Dual-camera coherent-light diffraction biosensor for multipathogen screening and strain-level recognition of bacterial colonies
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
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