McGinn Conor, Scott Robert, Donnelly Niamh, Roberts Kim L, Bogue Marina, Kiernan Christine, Beckett Michael
School of Engineering, Trinity College Dublin, Dublin, Ireland.
Akara Robotics, Dublin, Ireland.
Front Robot AI. 2021 Jan 6;7:590306. doi: 10.3389/frobt.2020.590306. eCollection 2020.
The importance of infection control procedures in hospital radiology departments has become increasingly apparent in recent months as the impact of COVID-19 has spread across the world. Existing disinfectant procedures that rely on the manual application of chemical-based disinfectants are time consuming, resource intensive and prone to high degrees of human error. Alternative non-touch disinfection methods, such as Ultraviolet Germicidal Irradiation (UVGI), have the potential to overcome many of the limitations of existing approaches while significantly improving workflow and equipment utilization. The aim of this research was to investigate the germicidal effectiveness and the practical feasibility of using a robotic UVGI device for disinfecting surfaces in a radiology setting. We present the design of a robotic UVGI platform that can be deployed alongside human workers and can operate autonomously within cramped rooms, thereby addressing two important requirements necessary for integrating the technology within radiology settings. In one hospital, we conducted experiments in a CT and X-ray room. In a second hospital, we investigated the germicidal performance of the robot when deployed to disinfect a CT room in <15 minutes, a period which is estimated to be 2-4 times faster than current practice for disinfecting rooms after infectious (or potentially infectious) patients. Findings from both test sites show that UVGI successfully inactivated all of measurable microbial load on 22 out of 24 surfaces. On the remaining two surfaces, UVGI reduced the microbial load by 84 and 95%, respectively. The study also exposes some of the challenges of manually disinfecting radiology suites, revealing high concentrations of microbial load in hard-to-reach places. Our findings provide compelling evidence that UVGI can effectively inactivate microbes on commonly touched surfaces in radiology suites, even if they were only exposed to relatively short bursts of irradiation. Despite the short irradiation period, we demonstrated the ability to inactivate microbes with more complex cell structures and requiring higher UV inactivation energies than SARS-CoV-2, thus indicating high likelihood of effectiveness against coronavirus.
随着新冠疫情的影响在全球蔓延,医院放射科感染控制程序的重要性在最近几个月愈发明显。现有的依赖人工涂抹化学消毒剂的消毒程序耗时、资源密集且极易出现高度人为误差。诸如紫外线杀菌辐照(UVGI)等替代性非接触式消毒方法,有潜力克服现有方法的诸多局限,同时显著改善工作流程和设备利用率。本研究的目的是调查在放射科环境中使用机器人紫外线杀菌辐照设备对表面进行消毒的杀菌效果和实际可行性。我们展示了一种机器人紫外线杀菌辐照平台的设计,该平台可与工作人员协同部署,并能在狭窄空间内自主运行,从而满足将该技术集成到放射科环境所需的两个重要要求。在一家医院,我们在CT室和X光室进行了实验。在另一家医院,我们研究了该机器人在不到15分钟内对CT室进行消毒时的杀菌性能,这一时间段估计比目前在感染(或潜在感染)患者后对房间进行消毒的做法快2至4倍。两个测试地点的结果表明,紫外线杀菌辐照成功灭活了24个表面中22个表面上所有可测量的微生物负荷。在其余两个表面上,紫外线杀菌辐照分别将微生物负荷降低了84%和95%。该研究还揭示了对放射科套房进行人工消毒的一些挑战,发现在难以触及的地方存在高浓度的微生物负荷。我们的研究结果提供了令人信服的证据,表明紫外线杀菌辐照能够有效灭活放射科套房中常见接触表面上的微生物,即使它们仅暴露于相对较短的辐照时间。尽管辐照时间较短,但我们证明了能够灭活具有更复杂细胞结构且比新冠病毒需要更高紫外线灭活能量的微生物,因此表明对冠状病毒有效的可能性很高。