Integrating silicon nanowire field effect transistor, microfluidics and air sampling techniques for real-time monitoring biological aerosols.
Identifieur interne : 002092 ( Main/Exploration ); précédent : 002091; suivant : 002093Integrating 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 ; Zhenxing Wang ; Maosheng Yao ; Zhenqiang Xu ; Yan Wu ; Jindong Wang ; Xuefeng Guo ; Tong ZhuSource :
- Environmental science & technology [ 1520-5851 ] ; 2011.
Descripteurs français
- KwdFr :
- Aérosols (analyse), Humains, Microfluidique (), Microfluidique (instrumentation), Nanofils (), Silicium (), Sous-type H1N1 du virus de la grippe A (), Sous-type H3N2 du virus de la grippe A (), Surveillance de l'environnement (), Surveillance de l'environnement (instrumentation), Techniques de biocapteur.
- MESH :
English descriptors
- KwdEn :
- Aerosols (analysis), Biosensing Techniques, Environmental Monitoring (instrumentation), Environmental Monitoring (methods), Humans, Influenza A Virus, H1N1 Subtype (chemistry), Influenza A Virus, H3N2 Subtype (chemistry), Microfluidics (instrumentation), Microfluidics (methods), Nanowires (chemistry), Silicon (chemistry).
- MESH :
- chemical , analysis : Aerosols.
- chemistry : Influenza A Virus, H1N1 Subtype, Influenza A Virus, H3N2 Subtype, Nanowires, Silicon.
- instrumentation : Environmental Monitoring, Microfluidics.
- methods : Environmental Monitoring, Microfluidics.
- Biosensing Techniques, Humans.
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.
DOI: 10.1021/es1043547
PubMed: 21780777
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 001490
- to stream PubMed, to step Curation: 001490
- to stream PubMed, to step Checkpoint: 001475
- to stream Ncbi, to step Merge: 002365
- to stream Ncbi, to step Curation: 002365
- to stream Ncbi, to step Checkpoint: 002365
- to stream Main, to step Merge: 002117
- to stream Main, to step Curation: 002092
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Integrating silicon nanowire field effect transistor, microfluidics and air sampling techniques for real-time monitoring biological aerosols.</title><author><name sortKey="Shen, Fangxia" sort="Shen, Fangxia" uniqKey="Shen F" first="Fangxia" last="Shen">Fangxia Shen</name><affiliation wicri:level="4"><nlm:affiliation>State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871</wicri:regionArea><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="Tan, Miaomiao" sort="Tan, Miaomiao" uniqKey="Tan M" first="Miaomiao" last="Tan">Miaomiao Tan</name></author><author><name sortKey="Wang, Zhenxing" sort="Wang, Zhenxing" uniqKey="Wang Z" first="Zhenxing" last="Wang">Zhenxing Wang</name></author><author><name sortKey="Yao, Maosheng" sort="Yao, Maosheng" uniqKey="Yao M" first="Maosheng" last="Yao">Maosheng Yao</name></author><author><name sortKey="Xu, Zhenqiang" sort="Xu, Zhenqiang" uniqKey="Xu Z" first="Zhenqiang" last="Xu">Zhenqiang Xu</name></author><author><name sortKey="Wu, Yan" sort="Wu, Yan" uniqKey="Wu Y" first="Yan" last="Wu">Yan Wu</name></author><author><name sortKey="Wang, Jindong" sort="Wang, Jindong" uniqKey="Wang J" first="Jindong" last="Wang">Jindong Wang</name></author><author><name sortKey="Guo, Xuefeng" sort="Guo, Xuefeng" uniqKey="Guo X" first="Xuefeng" last="Guo">Xuefeng Guo</name></author><author><name sortKey="Zhu, Tong" sort="Zhu, Tong" uniqKey="Zhu T" first="Tong" last="Zhu">Tong Zhu</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="RBID">pubmed:21780777</idno><idno type="pmid">21780777</idno><idno type="doi">10.1021/es1043547</idno><idno type="wicri:Area/PubMed/Corpus">001490</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001490</idno><idno type="wicri:Area/PubMed/Curation">001490</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">001490</idno><idno type="wicri:Area/PubMed/Checkpoint">001475</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">001475</idno><idno type="wicri:Area/Ncbi/Merge">002365</idno><idno type="wicri:Area/Ncbi/Curation">002365</idno><idno type="wicri:Area/Ncbi/Checkpoint">002365</idno><idno type="wicri:Area/Main/Merge">002117</idno><idno type="wicri:Area/Main/Curation">002092</idno><idno type="wicri:Area/Main/Exploration">002092</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Integrating silicon nanowire field effect transistor, microfluidics and air sampling techniques for real-time monitoring biological aerosols.</title><author><name sortKey="Shen, Fangxia" sort="Shen, Fangxia" uniqKey="Shen F" first="Fangxia" last="Shen">Fangxia Shen</name><affiliation wicri:level="4"><nlm:affiliation>State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871</wicri:regionArea><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="Tan, Miaomiao" sort="Tan, Miaomiao" uniqKey="Tan M" first="Miaomiao" last="Tan">Miaomiao Tan</name></author><author><name sortKey="Wang, Zhenxing" sort="Wang, Zhenxing" uniqKey="Wang Z" first="Zhenxing" last="Wang">Zhenxing Wang</name></author><author><name sortKey="Yao, Maosheng" sort="Yao, Maosheng" uniqKey="Yao M" first="Maosheng" last="Yao">Maosheng Yao</name></author><author><name sortKey="Xu, Zhenqiang" sort="Xu, Zhenqiang" uniqKey="Xu Z" first="Zhenqiang" last="Xu">Zhenqiang Xu</name></author><author><name sortKey="Wu, Yan" sort="Wu, Yan" uniqKey="Wu Y" first="Yan" last="Wu">Yan Wu</name></author><author><name sortKey="Wang, Jindong" sort="Wang, Jindong" uniqKey="Wang J" first="Jindong" last="Wang">Jindong Wang</name></author><author><name sortKey="Guo, Xuefeng" sort="Guo, Xuefeng" uniqKey="Guo X" first="Xuefeng" last="Guo">Xuefeng Guo</name></author><author><name sortKey="Zhu, Tong" sort="Zhu, Tong" uniqKey="Zhu T" first="Tong" last="Zhu">Tong Zhu</name></author></analytic><series><title level="j">Environmental science & technology</title><idno type="eISSN">1520-5851</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aerosols (analysis)</term><term>Biosensing Techniques</term><term>Environmental Monitoring (instrumentation)</term><term>Environmental Monitoring (methods)</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype (chemistry)</term><term>Influenza A Virus, H3N2 Subtype (chemistry)</term><term>Microfluidics (instrumentation)</term><term>Microfluidics (methods)</term><term>Nanowires (chemistry)</term><term>Silicon (chemistry)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Aérosols (analyse)</term><term>Humains</term><term>Microfluidique ()</term><term>Microfluidique (instrumentation)</term><term>Nanofils ()</term><term>Silicium ()</term><term>Sous-type H1N1 du virus de la grippe A ()</term><term>Sous-type H3N2 du virus de la grippe A ()</term><term>Surveillance de l'environnement ()</term><term>Surveillance de l'environnement (instrumentation)</term><term>Techniques de biocapteur</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Aerosols</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Aérosols</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term><term>Influenza A Virus, H3N2 Subtype</term><term>Nanowires</term><term>Silicon</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Environmental Monitoring</term><term>Microfluidics</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Environmental Monitoring</term><term>Microfluidics</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biosensing Techniques</term><term>Humans</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Microfluidique</term><term>Nanofils</term><term>Silicium</term><term>Sous-type H1N1 du virus de la grippe A</term><term>Sous-type H3N2 du virus de la grippe A</term><term>Surveillance de l'environnement</term><term>Techniques de biocapteur</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><noCountry><name sortKey="Guo, Xuefeng" sort="Guo, Xuefeng" uniqKey="Guo X" first="Xuefeng" last="Guo">Xuefeng Guo</name><name sortKey="Tan, Miaomiao" sort="Tan, Miaomiao" uniqKey="Tan M" first="Miaomiao" last="Tan">Miaomiao Tan</name><name sortKey="Wang, Jindong" sort="Wang, Jindong" uniqKey="Wang J" first="Jindong" last="Wang">Jindong Wang</name><name sortKey="Wang, Zhenxing" sort="Wang, Zhenxing" uniqKey="Wang Z" first="Zhenxing" last="Wang">Zhenxing Wang</name><name sortKey="Wu, Yan" sort="Wu, Yan" uniqKey="Wu Y" first="Yan" last="Wu">Yan Wu</name><name sortKey="Xu, Zhenqiang" sort="Xu, Zhenqiang" uniqKey="Xu Z" first="Zhenqiang" last="Xu">Zhenqiang Xu</name><name sortKey="Yao, Maosheng" sort="Yao, Maosheng" uniqKey="Yao M" first="Maosheng" last="Yao">Maosheng Yao</name><name sortKey="Zhu, Tong" sort="Zhu, Tong" uniqKey="Zhu T" first="Tong" last="Zhu">Tong Zhu</name></noCountry><country name="République populaire de Chine"><noRegion><name sortKey="Shen, Fangxia" sort="Shen, Fangxia" uniqKey="Shen F" first="Fangxia" last="Shen">Fangxia Shen</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002092 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 002092 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= SrasV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:21780777
|texte= Integrating silicon nanowire field effect transistor, microfluidics and air sampling techniques for real-time monitoring biological aerosols.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:21780777" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a SrasV1
| This area was generated with Dilib version V0.6.33. |  |