An Engineered Robotic Plasma Array for Large Area Surface Decontamination

用于大面积表面净化的工程机器人等离子体阵列

• 批准号: 10194138
• 负责人: Jim Browning
• 金额: $ 53.07万
• 依托单位: BOISE STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10194138
• 关键词: 2019-nCoV; Active Learning; Adoption; Affect; Air; Animals; Antiviral Agents; Antiviral Response; Area; Argon; Atmospheric Pressure; Biological Assay; Biological Sciences; Cells; Charcoal; Chemicals; Clinical; Clostridium difficile; Communicable Diseases; Complex; Consumption; Containment; Coronavirus; Coronavirus Infections; Coupled; Crowding; Decontamination; Deposition; Devices; Disease; Disinfectants; Disinfection; Effectiveness; Engineering; Environment; Environmental Hazards; Equipment; Excision; Feline Calicivirus; Floor; Gases; Geometry; Goals; Government; Head; Health; Health Care Costs; Health Hazards; Healthcare; Hospitals; Hour; Human; Human Resources; Internships; Knowledge; Laboratories; Measures; Medical; Mentors; Modeling; Motion; Murine hepatitis virus; Nitrogen; Norovirus; Outcome; Oxygen; Ozone; Paint; Pathway interactions; Plasma; Power Sources; Property; Public Health; Pump; Recovery; Reproduction spores; Research; Resources; Risk; Robot; Robotics; Sampling; Scanning; Scientist; Shapes; Societies; Solid; Structure; Suction; Surface; System; Technology; Testing; Time; Training; Universities; Vaccines; Vacuum; Viral; Virus; air filtration; antimicrobial; arm; base; cost; cost effective; density; design; graduate student; health care settings; human coronavirus; improved; infection rate; meetings; methicillin resistant Staphylococcus aureus; mobile computing; new technology; novel; novel coronavirus; operation; pathogen; pathogenic bacteria; pathogenic microbe; pathogenic virus; programs; public health relevance; response; robotic system; success; summer research; topical antiseptic; transmission process; undergraduate student; visual control; wasting

Project Summary/Abstract Surface contamination by Coronaviruses like SARS-CoV-2, and other pathogenic viruses and bacteria pose significant risks for the spread of disease in medical facilities. This increases hospital labor costs for staff to constantly clean surfaces with disinfectants to slow the spread of disease. Infectious hosts can shed SARS-CoV-2 and other pathogens that deposit on solid surfaces and transmit disease to new hosts. This persistent transmission is exemplified by Coronaviruses, as they can persist on surfaces for hours or days and remain infectious through casual physical contact. Among bacterial pathogens, methicillin-resistant Staphylococcus aureus (MRSA) and Clostridium difficile (CDif, and many others) are known to spread through contact with surfaces contaminated by cells or spores shed from infected hosts. While physical or chemical surface treatments, such as topical antiseptics and air-filtration, can mitigate transmission, these treatments are not always practical or compatible with the physical or chemical makeup of the treated surface. These treatments also consume vast quantities of gloves, wipes, disinfectant chemicals, and time. An approach that reduces material consumption, while still compatible with use around people, is required for hospitals and other clinical settings. Cold atmospheric-pressure plasma (CAP) has been studied for its ability to inactivate bacterial pathogens on surfaces, but seldom examined for anti-viral effects. Further, a clear implementation path for the treatment of large surface areas found in medical facilities has yet to be established. This proposed research provides an engineering driven approach to transition CAP systems from laboratory settings to more realistic applications in medical environments. The approach is supported by Specific Aim 1: Construct CAP-Arrays that demonstrate rapid inactivation of Coronavirus and other microbial pathogen surface contaminants, and by Specific Aim 2: Fully integrate a CAP-Array into a robotic system and demonstrate rapid inactivation of Coronavirus and other pathogens over large areas and varieties of surfaces. This project will develop a large CAP-Array (10 cm x 10 cm) deployed on a semiautonomous robotic system to enable rapid, cost-effective plasma treatment of large surface areas, without the need for chemicals and with little risk to personnel. The CAP-Array will be tested on a variety of real-world relevant surfaces, such as linoleum tile, painted drywall, and formica tabletops, for its ability to inactivate viruses such as human and animal Coronaviruses (H229E, MHV) that provide good models for activity against SARS-CoV-2, and against representative bacterial pathogens such as MRSA. The objectives of this proposal are to (1) demonstrate that CAP- Array treatment can cause a 3-log reduction in pathogen viability in <5 s over a 100 cm2 area without scanning and then (2) demonstrate that the CAP-Array-Robot system can be deployed to treat a 2500 cm2 surface in <125 s and cause a 3-log reduction in pathogen viability. A workforce of engineering and biological science graduate and undergraduate students will develop and test the CAP-Arrays, prepare viral and bacterial pathogen samples, and measure pathogen viability after plasma treatment. The success of this project will lead to a new paradigm for robotic sanitizing equipment useful in decontaminating surfaces in healthcare and other settings.

项目总结/摘要 冠状病毒（如SARS-CoV-2）以及其他致病病毒和细菌的表面污染构成了重大风险 疾病在医疗设施中的传播。这增加了工作人员不断清洁表面的医院劳动力成本， 消毒剂来减缓疾病的传播。感染性宿主可以释放SARS-CoV-2和其他病原体，这些病原体存款在 并将疾病传播给新的宿主。这种持续传播的例子是冠状病毒，因为它们可以 在表面上持续数小时或数天，并通过偶然的身体接触保持传染性。在细菌病原体中， 已知耐甲氧西林金黄色葡萄球菌（MRSA）和艰难梭菌（CDif，以及许多其他）传播 通过接触被受感染宿主脱落的细胞或孢子污染的表面。虽然物理或化学表面 治疗，如局部防腐剂和空气过滤，可以减轻传播，这些治疗并不总是实用的 或者与处理表面的物理或化学组成相容。这些治疗也消耗了大量的 手套湿巾消毒剂和时间一种减少材料消耗的方法，同时仍然兼容 在人周围使用，是医院和其他临床环境所需要的。冷大气压等离子体（CAP） 人们研究了它在表面上消灭细菌病原体的能力，但很少研究它的抗病毒作用。此外，本发明还 尚未确定处理医疗设施内大面积地表的明确实施途径。这 拟议的研究提供了一种工程驱动的方法，将CAP系统从实验室环境过渡到更多 在医疗环境中的实际应用。该方法得到了具体目标1的支持：构建CAP阵列， 证明冠状病毒和其他微生物病原体表面污染物的快速灭活，并通过特定的 目标2：将CAP阵列完全集成到机器人系统中，并证明冠状病毒的快速灭活， 其他病原体在大面积和各种表面。该项目将开发一个大型CAP阵列（10 cm x 10 cm） 部署在半自动机器人系统上，以实现大表面区域的快速、成本有效的等离子体处理， 不需要化学品并且对人员的风险很小。CAP阵列将在各种真实世界中进行测试 相关的表面，如瓷砖，油漆干墙，和福米卡桌面，其能力，以消除病毒，如 人和动物冠状病毒（H229 E，MHV），为抗SARS-CoV-2和抗 代表性的细菌病原体如MRSA。本提案的目标是：（1）证明联合呼吁程序- 阵列处理可以在不扫描的情况下在100 cm 2区域上在<5 s内导致病原体活力的3-log减少， 然后（2）证明CAP-阵列-机器人系统可以在<125 s内部署以处理2500 cm 2的表面， 导致病原体存活率降低3个对数。工程和生物科学专业的毕业生， 本科生将开发和测试CAP阵列，制备病毒和细菌病原体样本，并测量 等离子体处理后的病原体活力。该项目的成功将为机器人消毒带来新的范例 在卫生保健和其他环境中用于净化表面的设备。