Integrating Silicon Nanowire Field Effect Transistor, Microfluidics and Air Sampling Techniques For Real-Time Monitoring Biological Aerosols
Identifieur interne : 002369 ( Main/Exploration ); précédent : 002368; suivant : 002370Integrating Silicon Nanowire Field Effect Transistor, Microfluidics and Air Sampling Techniques For Real-Time Monitoring Biological Aerosols
Auteurs : FANGXIA SHEN [République populaire de Chine] ; MIAOMIAO TAN [République populaire de Chine] ; ZHENXING WANG [République populaire de Chine] ; MAOSHENG YAO [République populaire de Chine] ; ZHENQIANG XU [République populaire de Chine] ; YAN WU [République populaire de Chine] ; JINDONG WANG [République populaire de Chine] ; XUEFENG GUO [République populaire de Chine] ; TONG ZHU [République populaire de Chine]Source :
- Environmental science & technology [ 0013-936X ] ; 2011.
Descripteurs français
- Pascal (Inist)
English descriptors
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Abstract
Numerous threats from biological aerosol exposures, such as those from H1N1 influenza, SARS, bird flu, and bioterrorism activities necessitate the development of a real-time bioaerosol sensing system, which however is a long-standing challenge in the field. Here, we developed a real-time monitoring system for airborne influenza H3N2 viruses by integrating electronically addressable silicon nanowire (SiNW) sensor devices, microfluidics and bioaerosol-to-hydrosol air sampling techniques. When airborne influenza H3N2 virus samples were collected and delivered to antibody-modified SiNW devices, discrete nanowire conductance changes were observed within seconds. In contrast, the conductance levels remained relatively unchanged when indoor air or clean air samples were delivered. A 10-fold increase in virus concentration was found to give rise to about 20-30% increase in the sensor response. The selectivity of the sensing device was successfully demonstrated using H1N1 viruses and house dust allergens. From the simulated aerosol release to the detection, we observed a time scale of 1-2 min. Quantitative polymerase chain reaction (qPCR) tests revealed that higher virus concentrations in the air samples generally corresponded to higher conductance levels in the SiNW devices. In addition, the display of detection data on remote platforms such as cell phone and computer was also successfully demonstrated with a wireless module. The work here is expected to lead to innovative methods for biological aerosol monitoring, and further improvements in each of the integrated elements could extend the system to real world applications.
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Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University</s1><s2>Beijing 100871</s2><s3>CHN</s3><sZ>3 aut.</sZ><sZ>7 aut.</sZ><sZ>8 aut.</sZ></inist:fA14><country>République populaire de Chine</country><placeName><settlement type="city">Pékin</settlement></placeName><orgName type="university">Université de Pékin</orgName><placeName><settlement type="city">Pékin</settlement><region type="capitale">Pékin</region></placeName></affiliation></author><author><name sortKey="Xuefeng Guo" sort="Xuefeng Guo" uniqKey="Xuefeng Guo" last="Xuefeng Guo">XUEFENG GUO</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University</s1><s2>Beijing 100871</s2><s3>CHN</s3><sZ>3 aut.</sZ><sZ>7 aut.</sZ><sZ>8 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i1="01"><s1>State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University</s1><s2>Beijing 100871</s2><s3>CHN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>9 aut.</sZ></inist:fA14><country>République populaire de Chine</country><placeName><settlement type="city">Pékin</settlement></placeName><orgName type="university">Université de Pékin</orgName><placeName><settlement type="city">Pékin</settlement><region type="capitale">Pékin</region></placeName></affiliation></author><author><name sortKey="Jindong Wang" sort="Jindong Wang" uniqKey="Jindong Wang" last="Jindong Wang">JINDONG WANG</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University</s1><s2>Beijing 100871</s2><s3>CHN</s3><sZ>3 aut.</sZ><sZ>7 aut.</sZ><sZ>8 aut.</sZ></inist:fA14><country>République populaire de Chine</country><placeName><settlement type="city">Pékin</settlement></placeName><orgName type="university">Université de Pékin</orgName><placeName><settlement type="city">Pékin</settlement><region type="capitale">Pékin</region></placeName></affiliation></author><author><name sortKey="Xuefeng Guo" sort="Xuefeng Guo" uniqKey="Xuefeng Guo" last="Xuefeng Guo">XUEFENG GUO</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University</s1><s2>Beijing 100871</s2><s3>CHN</s3><sZ>3 aut.</sZ><sZ>7 aut.</sZ><sZ>8 aut.</sZ></inist:fA14><country>République populaire de Chine</country><placeName><settlement type="city">Pékin</settlement></placeName><orgName type="university">Université de Pékin</orgName><placeName><settlement type="city">Pékin</settlement><region type="capitale">Pékin</region></placeName></affiliation></author><author><name sortKey="Tong Zhu" sort="Tong Zhu" uniqKey="Tong Zhu" last="Tong Zhu">TONG ZHU</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University</s1><s2>Beijing 100871</s2><s3>CHN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ><sZ>5 aut.</sZ><sZ>6 aut.</sZ><sZ>9 aut.</sZ></inist:fA14><country>République populaire de Chine</country><placeName><settlement type="city">Pékin</settlement></placeName><orgName type="university">Université de Pékin</orgName><placeName><settlement type="city">Pékin</settlement><region type="capitale">Pékin</region></placeName></affiliation></author></analytic><series><title level="j" type="main">Environmental science & technology</title><title level="j" type="abbreviated">Environ. sci. technol.</title><idno type="ISSN">0013-936X</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Environmental science & technology</title><title level="j" type="abbreviated">Environ. sci. technol.</title><idno type="ISSN">0013-936X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ambient air measurement</term><term>Bioaerosol</term><term>Biological monitoring</term><term>Field effect transistor</term><term>Microfluidics</term><term>Nanostructured materials</term><term>Real time system</term><term>Sampling</term><term>Samplings</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Transistor effet champ</term><term>Microfluidique</term><term>Echantillonnage</term><term>Prélèvement</term><term>Système temps réel</term><term>Surveillance biologique</term><term>Mesure air ambiant</term><term>Bioaérosol</term><term>Influenzavirus A(H1N1)</term><term>Nanomatériau</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Numerous threats from biological aerosol exposures, such as those from H1N1 influenza, SARS, bird flu, and bioterrorism activities necessitate the development of a real-time bioaerosol sensing system, which however is a long-standing challenge in the field. Here, we developed a real-time monitoring system for airborne influenza H3N2 viruses by integrating electronically addressable silicon nanowire (SiNW) sensor devices, microfluidics and bioaerosol-to-hydrosol air sampling techniques. When airborne influenza H3N2 virus samples were collected and delivered to antibody-modified SiNW devices, discrete nanowire conductance changes were observed within seconds. In contrast, the conductance levels remained relatively unchanged when indoor air or clean air samples were delivered. A 10-fold increase in virus concentration was found to give rise to about 20-30% increase in the sensor response. The selectivity of the sensing device was successfully demonstrated using H1N1 viruses and house dust allergens. From the simulated aerosol release to the detection, we observed a time scale of 1-2 min. Quantitative polymerase chain reaction (qPCR) tests revealed that higher virus concentrations in the air samples generally corresponded to higher conductance levels in the SiNW devices. In addition, the display of detection data on remote platforms such as cell phone and computer was also successfully demonstrated with a wireless module. The work here is expected to lead to innovative methods for biological aerosol monitoring, and further improvements in each of the integrated elements could extend the system to real world applications.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Pékin</li></region><settlement><li>Pékin</li></settlement><orgName><li>Université de Pékin</li></orgName></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Fangxia Shen" sort="Fangxia Shen" uniqKey="Fangxia Shen" last="Fangxia Shen">FANGXIA SHEN</name></noRegion><name sortKey="Jindong Wang" sort="Jindong Wang" uniqKey="Jindong Wang" last="Jindong Wang">JINDONG WANG</name><name sortKey="Maosheng Yao" sort="Maosheng Yao" uniqKey="Maosheng Yao" last="Maosheng Yao">MAOSHENG YAO</name><name sortKey="Miaomiao Tan" sort="Miaomiao Tan" uniqKey="Miaomiao Tan" last="Miaomiao Tan">MIAOMIAO TAN</name><name sortKey="Tong Zhu" sort="Tong Zhu" uniqKey="Tong Zhu" last="Tong Zhu">TONG ZHU</name><name sortKey="Xuefeng Guo" sort="Xuefeng Guo" uniqKey="Xuefeng Guo" last="Xuefeng Guo">XUEFENG GUO</name><name sortKey="Yan Wu" sort="Yan Wu" uniqKey="Yan Wu" last="Yan Wu">YAN WU</name><name sortKey="Zhenqiang Xu" sort="Zhenqiang Xu" uniqKey="Zhenqiang Xu" last="Zhenqiang Xu">ZHENQIANG XU</name><name sortKey="Zhenxing Wang" sort="Zhenxing Wang" uniqKey="Zhenxing Wang" last="Zhenxing Wang">ZHENXING WANG</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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