Detection of severe acute respiratory syndrome (SARS) coronavirus nucleocapsid protein in human serum using a localized surface plasmon coupled fluorescence fiber-optic biosensor
Identifieur interne : 002F38 ( Main/Exploration ); précédent : 002F37; suivant : 002F39Detection of severe acute respiratory syndrome (SARS) coronavirus nucleocapsid protein in human serum using a localized surface plasmon coupled fluorescence fiber-optic biosensor
Auteurs : Jason C. Huang [Taïwan] ; Ying-Feng Chang [Taïwan] ; Kuan-Hsuan Chen [Taïwan] ; Li-Chen Su [Taïwan] ; Chun-Wei Lee [Taïwan] ; Chii-Chang Chen [Taïwan] ; Yi-Ming Arthur Chen [Taïwan] ; Chien Chou [Taïwan]Source :
- Biosensors & bioelectronics [ 0956-5663 ] ; 2009.
Descripteurs français
- KwdFr :
- Analyse chimique du sang (instrumentation), Analyse de panne d'appareillage, Conception d'appareillage, Humains, Protéines nucléocapside (sang), Résonance plasmonique de surface (instrumentation), Spectrométrie de fluorescence (instrumentation), Techniques de biocapteur (instrumentation), Technologie des fibres optiques (instrumentation), Virus du SRAS (métabolisme).
- MESH :
- Pascal (Inist)
- Wicri :
English descriptors
- KwdEn :
- Biosensing Techniques (instrumentation), Biosensor, Blood Chemical Analysis (instrumentation), Coronavirus, Detection, Equipment Design, Equipment Failure Analysis, Fiber Optic Technology (instrumentation), Fluorescence, Gold, Human, Humans, Nanoparticle, Nucleocapsid, Nucleocapsid Proteins (blood), Optical fiber, Protein, SARS Virus (metabolism), Serum, Severe acute respiratory syndrome, Spectrometry, Fluorescence (instrumentation), Surface Plasmon Resonance (instrumentation), Surface plasmon.
- MESH :
- chemical , blood : Nucleocapsid Proteins.
- instrumentation : Biosensing Techniques, Blood Chemical Analysis, Fiber Optic Technology, Spectrometry, Fluorescence, Surface Plasmon Resonance.
- metabolism : SARS Virus.
- Equipment Design, Equipment Failure Analysis, Humans.
Abstract
In order to enhance the sensitivity of conventional immunoassay technology for the detection of SARS coronavirus (SARS-CoV) nucleocapsid protein (N protein), we developed a localized surface plasmon coupled fluorescence (LSPCF) fiber-optic biosensor that combines sandwich immunoassay with the LSP technique. Experimentally, a linear relationship between the fluorescence signal and the concentration of recombinant SARS-CoV N (GST-N) protein in buffer solution could be observed from 0.1 pg/mL to 1 ng/mL In addition, the concentration of GST-N protein in diluted serum across a similar range could also be measured. The correlation coefficients (linear scale) for these two measurements were 0.9469 and 0.9624, respectively. In comparison with conventional enzyme linked immunosorbent assay (ELISA), the detection limit of the LSPCF fiber-optic biosensor for the GST-N protein was improved at least 104-fold using the same monoclonal antibodies. Therefore, the LSPCF fiber-optic biosensor shows an ability to detect very low concentration (∼1 pg/mL) of SARS-CoV N protein in serum. The biosensor should help with the early diagnosis of SARS infection.
Url:
Affiliations:
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Le document en format XML
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<term>Biosensor</term>
<term>Blood Chemical Analysis (instrumentation)</term>
<term>Coronavirus</term>
<term>Detection</term>
<term>Equipment Design</term>
<term>Equipment Failure Analysis</term>
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<term>Severe acute respiratory syndrome</term>
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</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Equipment Design</term>
<term>Equipment Failure Analysis</term>
<term>Humans</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Analyse de panne d'appareillage</term>
<term>Conception d'appareillage</term>
<term>Détection</term>
<term>Humains</term>
<term>Syndrome respiratoire aigu sévère</term>
<term>Nucléocapside</term>
<term>Protéine</term>
<term>Homme</term>
<term>Coronavirus</term>
<term>Sérum</term>
<term>Plasmon surface</term>
<term>Fluorescence</term>
<term>Fibre optique</term>
<term>Biodétecteur</term>
<term>Or</term>
<term>Nanoparticule</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Homme</term>
<term>Or</term>
</keywords>
</textClass>
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<front><div type="abstract" xml:lang="en">In order to enhance the sensitivity of conventional immunoassay technology for the detection of SARS coronavirus (SARS-CoV) nucleocapsid protein (N protein), we developed a localized surface plasmon coupled fluorescence (LSPCF) fiber-optic biosensor that combines sandwich immunoassay with the LSP technique. Experimentally, a linear relationship between the fluorescence signal and the concentration of recombinant SARS-CoV N (GST-N) protein in buffer solution could be observed from 0.1 pg/mL to 1 ng/mL In addition, the concentration of GST-N protein in diluted serum across a similar range could also be measured. The correlation coefficients (linear scale) for these two measurements were 0.9469 and 0.9624, respectively. In comparison with conventional enzyme linked immunosorbent assay (ELISA), the detection limit of the LSPCF fiber-optic biosensor for the GST-N protein was improved at least 10<sup>4</sup>
-fold using the same monoclonal antibodies. Therefore, the LSPCF fiber-optic biosensor shows an ability to detect very low concentration (∼1 pg/mL) of SARS-CoV N protein in serum. The biosensor should help with the early diagnosis of SARS infection.</div>
</front>
</TEI>
<affiliations><list><country><li>Taïwan</li>
</country>
</list>
<tree><country name="Taïwan"><noRegion><name sortKey="Huang, Jason C" sort="Huang, Jason C" uniqKey="Huang J" first="Jason C." last="Huang">Jason C. Huang</name>
</noRegion>
<name sortKey="Chang, Ying Feng" sort="Chang, Ying Feng" uniqKey="Chang Y" first="Ying-Feng" last="Chang">Ying-Feng Chang</name>
<name sortKey="Chen, Chii Chang" sort="Chen, Chii Chang" uniqKey="Chen C" first="Chii-Chang" last="Chen">Chii-Chang Chen</name>
<name sortKey="Chen, Kuan Hsuan" sort="Chen, Kuan Hsuan" uniqKey="Chen K" first="Kuan-Hsuan" last="Chen">Kuan-Hsuan Chen</name>
<name sortKey="Chen, Yi Ming Arthur" sort="Chen, Yi Ming Arthur" uniqKey="Chen Y" first="Yi-Ming Arthur" last="Chen">Yi-Ming Arthur Chen</name>
<name sortKey="Chen, Yi Ming Arthur" sort="Chen, Yi Ming Arthur" uniqKey="Chen Y" first="Yi-Ming Arthur" last="Chen">Yi-Ming Arthur Chen</name>
<name sortKey="Chou, Chien" sort="Chou, Chien" uniqKey="Chou C" first="Chien" last="Chou">Chien Chou</name>
<name sortKey="Chou, Chien" sort="Chou, Chien" uniqKey="Chou C" first="Chien" last="Chou">Chien Chou</name>
<name sortKey="Chou, Chien" sort="Chou, Chien" uniqKey="Chou C" first="Chien" last="Chou">Chien Chou</name>
<name sortKey="Huang, Jason C" sort="Huang, Jason C" uniqKey="Huang J" first="Jason C." last="Huang">Jason C. Huang</name>
<name sortKey="Huang, Jason C" sort="Huang, Jason C" uniqKey="Huang J" first="Jason C." last="Huang">Jason C. Huang</name>
<name sortKey="Lee, Chun Wei" sort="Lee, Chun Wei" uniqKey="Lee C" first="Chun-Wei" last="Lee">Chun-Wei Lee</name>
<name sortKey="Lee, Chun Wei" sort="Lee, Chun Wei" uniqKey="Lee C" first="Chun-Wei" last="Lee">Chun-Wei Lee</name>
<name sortKey="Su, Li Chen" sort="Su, Li Chen" uniqKey="Su L" first="Li-Chen" last="Su">Li-Chen Su</name>
</country>
</tree>
</affiliations>
</record>
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