This proposed Phase I/Phase II FastTrack SBIR project will lead to the demonstration of a robust wastewater testing and analytics platform that government stakeholders can use to guide localized actions to respond to the opioid epidemic. The opioid epidemic is the biggest drug crisis in American history, resulting in over 130 deaths every day. Currently, stakeholders use overdose death data to guide their opioid response strategies. However, this data is infrequently updated, often aggregated at geographic levels which are too large to be actionable by public health officials, and rarely provides insight into specific drug types (e.g. prescription vs. illicit opioids, fentanyl, etc.). Novel data sources which provide localized, real-time, and drug-specific insights are needed to inform response efforts in this rapidly changing epidemic. Wastewater-based testing is a promising approach for measuring population-level drug exposure, but has significant technical limitations before it can be useful to stakeholders on the frontlines of the epidemic. Specifically, current wastewater testing approaches rely on sampling at wastewater treatment plants, which yields city-level data at best. This represents a heterogenous sample and is not useful to guide localized interventions. Biobot is the first commercial wastewater testing technology designed and built to provide actionable public health insights for municipal stakeholders tackling the opioid epidemic. Our robotic wastewater analysis system measures opioid exposure and treatment (distinguishing human use from discarding in the toilet), and operates at the neighborhood-level the geographic resolution relevant to municipal stakeholders. The premiere version of our platform includes (1) an algorithm to select sampling sites (manholes) that represent residential communities in a municipality; (2) a robotic sampling device that can be installed under sewer access portals (e.g. manhole covers) to collect 24-hour composite samples; (3) a HPLC-MS/MS method that detects a variety of urinary metabolites of prescription opioids, methadone, buprenorphine, and naloxone; and (4) visualization in printed reports. The goal of this Fast Track Phase I/Phase II application is to improve our platform to make it adoptable in cities across the nation. In collaboration with leading toxicologists at Brigham and Womens Hospital and Harvard Medical School, we will address technological gaps to improve data reliability and move from detection to consistent quantification of opioid exposure and treatment. In Phase I, we will improve and expand our HPLC-MS/MS method, develop simulation models to optimize sample collection, and address the variability challenge of 24-hour sampling. In Phase II, we will develop data correction methods to enable integration with all existing sewer infrastructures, validate our data against reported overdoses in a pilot study across six Massachusetts municipalities, and build a data analytics and visualization platform for our end users. Successful completion of the proposed project will lead to an optimized and validated wastewater testing technology that provides accurate, spatially granular, and more real-time data on opioid exposure and treatment. In parallel with the technological development, this grant will allow us to demonstrate the value of our product to two key customers: the City of Boston and the State of Massachusetts. These two government organizations are key champions to pave the way for long-term adoption by our target customers.
Public Health Relevance Statement: Project Narrative The opioid epidemic in the United States has driven the need for an innovative data solution for government officials and policy decision-makers. This Phase I/Phase II SBIR proposal seeks to implement and commercialize Biobot Analytics innovative smart sewers platform: upstream wastewater sampling technology, validated HPLC-MS/MS analytical techniques and data analytics to provide key governmental stakeholders with novel datasets to effectively track the abuse of opioids and other illicit drugs. Successful completion of this project will demonstrate a robust upstream wastewater sampling strategy that can be used in separated and combined wastewater infrastructures, and validated HPLC-MS/MS method in tandem with an interactive data visualization dashboard, providing key decision makers with the tools they need to respond to the opioid epidemic to decrease opioid overdoses and associated morbidity.
Project Terms: Address; Adopted; Adoption; Algorithms; American; analog; base; Benchmarking; Biological Markers; Boston; Buprenorphine; Cessation of life; Cities; Code; Collaborations; Collection; Communities; dashboard; Data; data analysis pipeline; Data Analytics; Data Set; Data Sources; data visualization; Death Rate; design; Detection; Development; Devices; Drops; Drug Exposure; Drug usage; Ensure; Epidemic; falls; Feedback; Fentanyl; Geography; Goals; Gold; Government; Government Officials; Grant; health data; Heroin; High Pressure Liquid Chromatography; Hospitals; Hour; Human; Illicit Drugs; illicit opioid; improved; Infrastructure; innovation; insight; instrument; interest; Intervention; Massachusetts; Measures; Medical emergency; medical schools; Methadone; Methods; Modeling; models and simulation; Modification; Morbidity - disease rate; Municipalities; Naloxone; Naltrexone; Neighborhoods; North Carolina; novel; Opioid; opioid abuse; opioid epidemic; opioid exposure; opioid overdose; opioid use; opioid use disorder; outreach; Overdose; overdose death; Parents; Pattern; Pharmaceutical Preparations; Phase; Pilot Projects; Plants; Policies; Population; prescription opioid; Public Health; Publishing; Rain; Recording of previous events; Reporting; Resolution; response; Robotics; sample collection; Sampling; Site; Small Business Innovation Research Grant; success; Sufentanil; System; Systems Analysis; Techniques; Technology; Testing; Time; tool; United States; Update; urinary; Urine; Visualization; Weather; Woman
