典型文献
"Smoke Detector"of Human Diseases for Environmental Aerosol Exposure
文献摘要:
Air consists of various different pollutants(both biological and non-biological).COVID-19 pandemic further threatens the air safety.Aerosol exposure causes many diseases including asthma,respiratory infections and death.Using protein bi-omarker for early diagnosis often fails due to its lower level at the very beginning of a disease.On another front,different technologies were attempted for realtime monitoring of air toxicity.Nonetheless,many aerosol exposures occur silently without any knowledge due to limitation of available analytical methods.Exhaled breath has emerged as a promising non-invasive sample for disease diagnosis,in-cluding cancer and diabetes.Most recently,it was shown that rats emitted distinc-tive profile of volatile organic compounds(VOCs)within minutes when exposed to different air pollutants including ozone and endotoxin.During the pandemic times,breath-borne VOC was also used to rapidly screen COVID-19.Pollutant exposure could result in changes in metabolism,thus releasing different pat-terns of VOCs via breath within very short time.Close monitoring of exhaled biomarker profile could spot the early signs of a disease,thus offering an earlier warning.Sensor array and machine learning together can lend a great hand toward such an objective.This mini review is undertaken to share such endeavors and inspire further innovations.
文献关键词:
中图分类号:
作者姓名:
Maosheng Yao
作者机构:
State Key Joint Laboratory of Environmental Simulation and Pollution Control,College of Environmental Sciences and Engineering,Peking University,Beijing 100871,China
文献出处:
引用格式:
[1]Maosheng Yao-."Smoke Detector"of Human Diseases for Environmental Aerosol Exposure)[J].中国化学(英文版),2022(12):1471-1477
A类:
omarker,silently,distinc
B类:
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AB值:
0.693803
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