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Development of Paper Biosensor for the Detection of Phenol from Industrial Effluents Using Bioconjugate of Tyr-AuNps Mediated by Novel Isolate Streptomyces tuirus DBZ39
Paper biosensor was developed using Tyr-AuNps bioconjugate produced by Streptomyces for the detection of phenol from the effluent of wine, paper, and plastic industries. Among three filter papers assessed, Whatman number 2 filter paper was proved to be the best paper base for the development of bios...
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Published in: | Journal of nanomaterials 2017-01, Vol.2017 (2017), p.1-8 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Paper biosensor was developed using Tyr-AuNps bioconjugate produced by Streptomyces for the detection of phenol from the effluent of wine, paper, and plastic industries. Among three filter papers assessed, Whatman number 2 filter paper was proved to be the best paper base for the development of biosensor. Tyrosinase and gold nanoparticles being produced by a single novel isolate Streptomyces tuirus DBZ39 proved to be efficient bioconjugate for the detection of phenol constituents, due to its biocompatibility. The substrate specific catalytic activity of the tyrosinase and unique Surface Plasmon Resonance attribute of gold nanoparticles are the cause for efficient detection of phenol constituents from the effluent of wine, paper, and plastic industries in 3 min. The different types and quantity of phenolic constituents in various industrial effluents, such as phenol in wine, dopamine in paper, and catechol in plastic effluents, were accurately detected by the bioconjugate. The efficacy of tyrosinase in the detection of phenol constituents was expected to be enhanced by the gold nanoparticles because of their electron, optical, and magnetic properties. This novel paper strip biosensor could be cost-effective and efficient means of future devices for the detection of phenolic pollutants from any environmental samples. |
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ISSN: | 1687-4110 1687-4129 |
DOI: | 10.1155/2017/1352134 |