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细菌、原生动物、病毒及其他微生物对紫外线辐射的敏感性

Sensitivity of Bacteria, Protozoa, Viruses, and Other Microorganisms to Ultraviolet Radiation.

作者信息

Masjoudi Mahsa, Mohseni Madjid, Bolton James R

机构信息

Department of Chemical & Biological Engineering University of British Columbia Vancouver, BC, V6T 1Z3 Canada.

Department of Civil and Environmental Engineering University of Alberta Edmonton, AB, T6G 2R3 Canada.

出版信息

J Res Natl Inst Stand Technol. 2021 Aug 20;126:126021. doi: 10.6028/jres.126.021. eCollection 2021.

DOI:10.6028/jres.126.021
PMID:39081635
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11259122/
Abstract

Data concerning the sensitivity of various organisms to ultraviolet (UV) radiation exposure are very important in the design of UV disinfection equipment. This review analyzes fluence data from almost 250 studies and organizes the data into a set of recommended fluence values for specific log reductions and an appendix containing all the collected data. This article was sponsored by Dianne L. Poster, Material Measurement Laboratory, and C. Cameron Miller, Physical Measurement Laboratory, National Institute of Standards and Technology (NIST). It is published in collaboration with the International Ultraviolet Association as a complement to the NIST Workshop on Ultraviolet Disinfection Technologies, 14-15 January 2020, Gaithersburg, MD. The views expressed represent those of the authors and not necessarily those of NIST.

摘要

关于各种生物体对紫外线(UV)辐射暴露的敏感性的数据,在紫外线消毒设备的设计中非常重要。本综述分析了近250项研究的通量数据,并将这些数据整理成一组针对特定对数减少量的推荐通量值,以及一个包含所有收集数据的附录。本文由美国国家标准与技术研究院(NIST)材料测量实验室的黛安·L·波斯特和物理测量实验室的C·卡梅隆·米勒赞助。它与国际紫外线协会合作发表,作为2020年1月14 - 15日在马里兰州盖瑟斯堡举行的NIST紫外线消毒技术研讨会的补充。文中表达的观点仅代表作者,不一定代表NIST的观点。

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Predictive Modeling of Virus Inactivation by UV.紫外线对病毒灭活的预测模型。
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Rapid and complete inactivation of SARS-CoV-2 by ultraviolet-C irradiation.紫外线C照射可使严重急性呼吸综合征冠状病毒2快速且完全失活。
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