Label-Free Analysis of H5N1 Virus Based on Three-Segment Branched DNA-Templated Fluorescent Silver Nanoclusters
Autor: | Ying Zhang, Ya-Ting Pan, Lianhui Wang, Xizhong Shen, Changfeng Zhu, Qi Li, Zhimin Luo, Hongfang Du, Panpan He, Fei Mu, Yefan Duan |
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Rok vydání: | 2020 |
Předmět: |
Silver
Materials science Surface Properties 0211 other engineering and technologies Metal Nanoparticles Biosensing Techniques 02 engineering and technology medicine.disease_cause 01 natural sciences Fluorescence Nanoclusters chemistry.chemical_compound Sense (molecular biology) medicine Animals General Materials Science Particle Size H5N1 virus Pathogen 021110 strategic defence & security studies Influenza A Virus H5N1 Subtype 010401 analytical chemistry virus diseases Serum Albumin Bovine DNA Virology Influenza A virus subtype H5N1 0104 chemical sciences chemistry Cattle Biosensor |
Zdroj: | ACS Applied Materials & Interfaces. 12:48357-48362 |
ISSN: | 1944-8252 1944-8244 |
DOI: | 10.1021/acsami.0c14509 |
Popis: | Since H5N1 virus is a highly infectious pathogen that causes outbreaks of avian influenza, developing a sensitive and rapid diagnostic platform to sense it becomes significant. Here, a novel label-free fluorescence sensing platform based on DNA-templated silver nanoclusters (DNA-Ag NCs) is developed to detect the H5N1 gene sequence representing H5N1 virus. The three-segment-branched DNA structure with closed cytosine-rich loop is designed as an effective template to produce fluorescent Ag NCs, which is different with the previous design of cytosine-rich loop formed by hairpin-like single-stranded DNA or double-stranded DNA. The proposed fluorescence detection approach gives a wide linear range (500 pM-2 μM) and a low detection limit (500 pM) to sense H5N1 gene sequence. Furthermore, selective analysis of target DNA shows that our constructed analytical strategy has a high selectivity to H5N1 gene sequence. It is regarded as a promising method for highly sensitive and selective sensing of H5N1 virus. |
Databáze: | OpenAIRE |
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