PAME: plasmonic assay modeling environment
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2015
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Abstract
Plasmonic assays are an important class of optical sensors that measure biomolecular interactions in real-time without the need for labeling agents, making them especially well-suited for clinical applications. Through the incorporation of nanoparticles and fiberoptics, these sensing systems have been successfully miniaturized and show great promise for in-situ probing and implantable devices, yet it remains challenging to derive meaningful, quantitative information from plasmonic responses. This is in part due to a lack of dedicated modeling tools, and therefore we introduce PAME, an open-source Python application for modeling plasmonic systems of bulk and nanoparticle-embedded metallic films. PAME combines aspects of thin-film solvers, nanomaterials and fiber-optics into an intuitive graphical interface. Some of PAME’s features include a simulation mode, a database of hundreds of materials, and an object-oriented framework for designing complex nanomaterials, such as a gold nanoparticles encased in a protein shell. An overview of PAME’s theory and design is presented, followed by example simulations of a fiberoptic refractometer, as well as protein binding to a multiplexed sensor composed of a mixed layer of gold and silver colloids. These results provide new insights into observed responses in reflectance biosensors.
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hughes2015pamepeerj
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| Authors | Hughes, Adam;Liu, Zhaowen;Reeves, Mark E.; |
| Journal | peerj computer science |
| Year | 2015 |
| DOI |
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| Keywords |
chemistry
microscopy
Materials of engineering and construction. Mechanics of materials
Chemical technology
Engineering (General). Civil engineering (General)
Industrial electrochemistry
Technology
Electrical engineering. Electronics. Nuclear engineering
Descriptive and experimental mechanics
Science
physics
electronic computers. computer science
analytical chemistry
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