The detoxification of hazardous waste sites is a serious, widespread, and ongoing problem. Recent developments in genetically engineered bacteria have allowed new approaches to detecting, monitoring, and eliminating dangerous materials from our air and aquifers. Remediation efforts require the use of an instrument that can autonomously identify, observe, and analyze specific subspecies of bacteria. The device should have detection limits as low as tens of organisms per liter and should have detection times as short as several minutes. This project will develop instrumentation based on piezoelectric detectors that provide the requisite stability, sensitivity, and ruggedness for field-based bacterial detection and speciation. Phase I demonstrated suitable surface transverse wave sensor geometries, verified attachment chemistries for DNA probes, and demonstrated of a viable piezoelectric sensor for E. coli DNA. Phase II will address three essential steps: development of the piezoelectric sensing structure, development of the optimum attachment chemistry, and demonstration of sensor performance in real situations. The Phase II effort will ultimately integrate polymerase chain reaction amplification of deoxyribonucleic acid with the piezoelectric sensor. Temperature drift, aging, and other difficulties will be overcome by intelligent instrumentation. This approach will also minimize the time needed to obtain a measurement and will provide semiquantitative analysis. Phase II will result in a prototype of a complete system with detection limits of tens of organisms per liter. Commercial Applications and other Benefits as described by the awardee. A low cost, simple, sensitive, and selective field-portable sensor should find application in environmental monitoring, food processing, clinical diagnostics, and medical research. The resultant device will be able to verify compliance with federal, state, and municipal mandates, as well as industrial (e.g., agriculture, food processing, and fisheries) requirements for bacterial detection and speciation.