期刊
NANOMATERIALS
卷 11, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/nano11040991
关键词
SARS-Cov-2; wastewater; nanoscience; remediation; epidemic
类别
资金
- National Key R&D Program of China [2017YFD0801103, 2017YFD0801300]
- NSFC-Guangdong Joint Fund [U1401234]
- Key National Natural Science Foundation of China [41130526]
- Chilean National Fund for Scientific and Technological Development (FONDECYT) [1201973]
Controlling the spread of SARS-CoV-2 in global regions with common untreated effluent is urgent. While vaccine development is underway, timely detection and remediation of the virus in wastewater, especially in developing countries, is crucial. A proposed technique combining nanotechnology, wastewater-based epidemiology, and artificial intelligence could be effective for detecting and remedying SARS-CoV-2 in community-level wastewater.
Given the known presence of SARS-Cov-2 in wastewater, stemming disease spread in global regions where untreated effluent in the environment is common will experience additional pressure. Though development and preliminary trials of a vaccine against SARS-CoV-2 have been launched in several countries, rapid and effective alternative tools for the timely detection and remediation of SARS-CoV-2 in wastewater, especially in the developing countries, is of paramount importance. Here, we propose a promising, non-invasive technique for early prediction and targeted detection of SARS-CoV-2 to prevent current and future outbreaks. Thus, a combination of nanotechnology with wastewater-based epidemiology and artificial intelligence could be deployed for community-level wastewater virus detection and remediation.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据