** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** FOODBORNE PATHOGENS ARE THE MAIN SOURCE OF FOODBORNE ILLNESSES AND CAUSE SIGNIFICANTTHREAT TO PUBLIC HEALTH AND GLOBAL ECONOMY.WITHOUT TIMELY INTERVENTION, THESE PATHOGENS CAN COMPLETELY DISRUPT THE SUPPLY CHAIN FOR CRITICAL FOODSTUFFS AND CONSEQUENTLY ELEVATE ECONOMIC STRESS AND PUBLIC ANXIETY. AMONG ALL THE LEADING FOODBORNE PATHOGENS,SALMONELLAHAS PROVEN TO BE THE COSTLIEST ($3.7 BILLION/YEAR)TO THE US ECONOMY.IN THIS PROPOSAL, OUR GOAL IS TO DEVELOP A DETECTION KIT AGAINSTTHE MOST PREVALENT SEROTYPES AND ACCOUNT FOR HALF OF ALL HUMAN INFECTIONS IN THE US.THE PROPOSED APPROACH OFFERS THE DETECTION OFSALMONELLAUNDER 6-HR; SURPASSINGTHE CURRENT METHODS WHICH CAN TAKEUP TO 5 DAYS. THIS IS IMPORTANT FOR RAPID AND ROUTINE SAMPLING TO AVOID?THE SPREAD OFSALMONELLA. WE ALSO PROPOSE TO DEVELOP MACHINE LEARNING ALGORITHMS FOR DATA ANALYSIS AND MOBILE APP FOR DATA TRANSMISSION. THE MOBILE APP FACILITATED DATA TRANSMISSION IS IMPORTANT FOR TAKING IMMEDIATE ACTIONS AND THE CONTAINMENT OF DISEASE TRANSMISSION, THUS PREVENTING FURTHER HEALTH RISKS AND ECONOMIC LOSS. THE PROPOSED DETECTION KIT AND TECHNOLOGIES OFFER A UNIVERSAL DIAGNOSTIC ASSAY WHICH CAN BE EMPLOYED BEYONDSALMONELLADETECTION. THEREFORE, THERE IS POTENTIAL FOR BROADER APPLICATIONS.