Rapid Assessment of Illicit Drugs in Wastewater

废水中非法药物的快速评估

• 批准号: 10397306
• 负责人: Avni A Argun
• 金额: $ 84.91万
• 依托单位: GINER, INC.
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10397306
• 关键词: Accident and Emergency department; Address; Algorithms; Area; Award; Back; Benchmarking; Biological Assay; Boston; Cessation of life; Cities; Collaborations; Collection; Communities; Consumption; Crime; Data; Data Correlations; Detection; Devices; Drug abuse; Drug usage; Drug user; Electronics; Engineering; Environmental Medicine; Epidemic; Epidemiologist; Fentanyl; Goals; Gold; Grant; Healthcare; Heroin; High Pressure Liquid Chromatography; Illicit Drugs; Individual; Intervention; Label; Laboratories; Law Enforcement; Massachusetts; Measurement; Measures; Methadone; Methodology; Methods; Microfluidic Microchips; Microfluidics; Monitor; Morphine; National Institute of Drug Abuse; New York; Nucleic Acids; Opioid; Overdose; Oxycodone; Pattern; Pharmaceutical Preparations; Phase; Plants; Prevalence; Productivity; Public Health; Safety; Sampling; Scientist; Secure; Site; Specificity; Stigmatization; Stream; System; Technology; Test Result; Testing; Time; Transistors; Transportation; United States; Universities; Validation; Work; Workplace; aptamer; base; cohort; college; commercialization; cost; cost effective; design; detection limit; diagnostic strategy; drug misuse; epidemiology study; field study; graphene; heroin use; insight; instrument; instrumentation; interest; mobile sensor; opioid abuse; opioid epidemic; opioid misuse; opioid overdose; opioid use; overdose death; population survey; portability; programs; prototype; research and development; sample collection; sensor; sensor technology; septic; statistics; success; surveillance data; synthetic opioid; technology development; tool; wastewater epidemiology; wastewater monitoring; wastewater samples; wastewater sampling; wastewater testing; water quality

PROJECT SUMMARY/ABSTRACT Opioid crisis (abuse and misuse) is an epidemic of global concern to public health and safety, causing over 70,000 deaths annually in the United States. Obtaining real-time data on the use of opioids is a major challenge as this information is limited to population surveys and drug surveillance data. There is an urgent public health need for monitoring tools to achieve crucial insight into the prevalence of opioid misuse/abuse without stigmatizing communities. Wastewater monitoring is a proven strategy to identify areas needing intervention instead of relying on emergency-room statistics and overdose deaths. However, current wastewater drug analysis requires costly laboratory-based tests that involves labor intensive sample collection, transportation, and analysis, resulting in long (days) turnaround times. Giner proposes to develop a compact, portable, label-free Graphene Field Effect Transistor (G-FET) sensor utilizing high-specificity aptamers for rapid, accurate, cost-effective, and multiplexing monitoring of opioid drug metabolites in wastewater samples. Since it generates rapid results compared to incumbent methods which rely on batch sampling of wastewater streams followed by expensive, time consuming analysis, this technology will provide actionable real time data at a fraction of the cost of incumbent methods, encouraging broad use. The goal of Phase II program is to demonstrate a field-ready prototype and a test methodology for simultaneous detection of multiple opioid metabolites in wastewater at pg/mL levels. During the Phase I work, Giner successfully detected three opioid metabolites in wastewater samples that are also associated with street heroin use: Norfentanyl (a metabolite of fentanyl, a synthetic opioid), EDDP (a metabolite of methadone, fully synthetic opioid), and Noroxycodone (a semisynthetic opioid, metabolite of oxycodone). We will also add Morphine (main heroine metabolite, a natural opioid) to our Phase II program. Multiple samples from wastewater treatment plants will be analyzed with Giner’s sensor and results will be cross-validated using the gold standard HPLC-MS/MS method. Giner will achieve this by using its prior expertise in bio/sensors and wastewater testing and in close collaboration with an interdisciplinary team of scientists, engineers, and environmental wastewater epidemiologists. Once developed, the technology will also be suitable for detection of any target illicit drug for which an aptamer can be prepared.

项目概要/摘要 阿片类药物危机（滥用和误用）是全球关注公共卫生和安全的流行病，导致超过 美国每年有 70,000 人死亡，获取阿片类药物使用的实时数据是一项重大任务。 由于这些信息仅限于人口调查和药物监测数据，因此存在着紧迫的挑战。 公共卫生需要监测工具，以深入了解阿片类药物误用/滥用的发生率 废水监测是一种行之有效的战略，可以确定需要的地区。 干预措施而不是依赖急诊室统计数据和过量死亡。 废水药物分析需要昂贵的实验室测试，涉及劳动密集型样品收集， 运输和分析，导致周转时间较长（数天），Giner 建议开发一种紧凑的、 便携式、无标记石墨烯场效应晶体管 (G-FET) 传感器，利用高特异性适体 对废水样品中的阿片类药物代谢物进行快速、准确、经济高效的多重监测。 与依赖废水批量采样的现有方法相比，它可以快速产生结果 流，然后进行昂贵且耗时的分析，该技术将提供可操作的实时数据 成本仅为现有方法的一小部分，鼓励广泛使用。 第二阶段计划的目标是展示可现场使用的原型和测试方法 在第一阶段工作中同时检测废水中 pg/mL 水平的多种阿片类代谢物。 Giner 成功地在废水样本中检测到了三种阿片类代谢物，这些代谢物也与 街头海洛因使用：去甲芬太尼（芬太尼的代谢物，一种合成阿片类药物）、EDDP（美沙酮的代谢物， 全合成阿片类药物）和去甲羟考酮（一种半合成阿片类药物，羟考酮的代谢物）。 吗啡（主要的海洛因代谢物，一种天然阿片类药物）来自我们的第二阶段计划的多个样品。 废水处理厂将使用 Giner 的传感器进行分析，结果将使用 金标准 HPLC-MS/MS 方法将利用其在生物/传感器和领域的先前专业知识来实现​​这一目标。 废水测试并与由科学家、工程师和专家组成的跨学科团队密切合作 一旦开发出来，该技术也将适用于环境废水流行病学家的检测。 可以制备适体的任何目标非法药物。