Agricultural and Life Sciences (IFAS)
Boce Zhang Lab
Led by Boce Zhang · Food Science and Human Nutrition
What we study
The Zhang Lab studies food safety and food microbiology using tools like transcriptomics, machine learning, and nanotechnology. They develop new ways to detect and prevent harmful bacteria in food.
What working here is like
- Wet lab
- Computational
- Bacteria & microbes
- Coding helps
- Projects
- 3
- Papers
- 5
Current projects
Nondestructive pathogen surveillance using artificial intelligence (AI)-enabled sensor array
Using AI to detect foodborne pathogens without damaging the food.
Nanopore transcriptome sequencing as pathogen surveillance and microbial transcriptomics
Using nanopore technology to study and detect harmful bacteria in food.
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Biointerface science and mechanism-based intervention of pathogen biofouling and biofilm
Studying how pathogens attach to surfaces and developing ways to prevent this.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Assessment of Florida Blueberry Wine Packaged in Glass Bottles, Cans, and Plastic Bottles Throughout Accelerated Shelf-Life Testing
2026 · Beverages
Checks how glass, cans, and plastic bottles affect the quality of blueberry wine over time.
- Surface–microbe interactions regulating Listeria monocytogenes persistence in multispecies biofilms on plastic food contact substances
2026 · npj Science of Food
Looks at how different plastics and microbes work together to keep Listeria on food surfaces.
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- Thermal inactivation of Salmonella in ready-to-use therapeutic food and prediction using neural network and conventional models
2026 · Food Research International
Studies how heat kills Salmonella in a food product and builds models to predict it.
- Detection and differentiation of Salmonella Typhimurium and Salmonella Enteritidis in poultry meat using a machine learning-enabled paper chromogenic array sensor approach
2026 · Food Control
Uses a paper sensor with machine learning to quickly detect Salmonella in chicken meat.
- Colorimetric sensor arrays and machine learning for supply chain food safety monitoring: a state-of-the-art review of advances, limitations, and translational challenges
2026 · Current Opinion in Food Science
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Boce Zhang hasn't set up this page yet. Their UF Scholars profile lists their publications.