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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Environmental Microbial & Food Safety Laboratory » Research » Research Projects Subjects of Investigation at this Location

Research Projects Subjects of Investigation at this Location

Each ARS research project has related subjects of investigation.  Listed below are the subjects of investigation currently conducted at this location.

Clicking on a subject of investigation will list the research projects within that  subject of investigation.

Subjects of Investigation
Air
Bacteria
Dairy cattle, general/other
Dairy cattle, live animal
Fertilizers
General technology
Goats, meat and mohair
Greens and leafy vegetables (includes endive, lettuce, spinach)
Meat, beef cattle
Meat, dairy cattle
Milk
Other animals, general
Poultry meat
Protozoa
Seeds and other plant propagules
Soil
Vegetables, general/other
Water resources
Watersheds
Research Projects within Bacteria
item Assessing Romaine Lettuce “Forward Processing” for Potential Impacts on EHEC Growth, Antimicrobial Susceptibility, and Infectivity
item Assessing Romaine Lettuce Forward Processing for Potential Impacts on EHEC Growth, Antimicrobial Susceptibility, and Infectivity
item Evaluation of Genetic and Management Factors to Reduce Foodborne Pathogens and Antimicrobial Resistance in Dairy Cattle
item Factors Affect the Transfer of Bacterial Pathogens to Leafy Greens from Soils
item Improving Pre-harvest Produce Safety through Reduction of Pathogen Levels in Agricultural Environments and Development and Validation of Farm-Scale Microbial Quality Model for Irrigation Water Sources
item Intervention Strategies to Mitigate the Food Safety Risks Associated with the Fresh Produce Supply Chain
item Machine Intelligence Driven Design of Anti-microbial Coatings for Fresh Produce
item Machine Learning-Enabled Novel Pathogen Detection Platform for Nondestructive Supply Chain Surveillance
item Monitoring and Managing Microbial Water Quality for Food Safety
item Monitoring and Modeling Microbial Quality of Irrigation Water
item Multiplex Detection of Viable Pathogen - Empowering Conventional QA/QC Toolkits with Nano-Dyes and Machine Learning
item Prevention of Pathogen Contamination in the Lettuce Production Continuum-Beltsville
item Using Modeling to Develop Monitoring Strategy and Scheduling for Microbial Quality of Irrigation Water Sources