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Improving signal to Noise Ratio and decoupling surface and bulk effects in Nicoya's Open surface Plasmin Resonance (SPR) systems

Improving signal to Noise Ratio and decoupling surface and bulk effects in Nicoya's Open surface Plasmin Resonance (SPR) systems
提高 Nicoya 开放表面纤溶酶共振 (SPR) 系统中的信噪比并消除表面和体效应
批准号:
522337-2018
负责人:
Mojahedi, Mohammad
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
The current application brings together Nicoya Life Sciences, an original manufacturer of Surface Plasmon Resonance (SPR)**sensing systems located at Waterloo/Kitchener area, and Prof. Mo Mojahedis team at the University of Toronto (UofT). Professor**Mojahedi leads an internationally renowned group with expertise in design and characterization of optical/plasmonic sensing**modalities.**The goals of the current project are: (a) to improve the signal to noise ratio (S/N) of the existing and next generation Nicoyas**SPR systems. (b) To introduce a technology developed by Mojahedis group known as multimode spectroscopy in the design**of Nicoyas next generation SPR systems. The increased S/N will allow Nicoya to improve its systems resolution (the smallest**amount of change in the input that can be detected at the sensors output) by multiple factors, while the multimode spectroscopy**will provide Nicoya with unprecedented ability to decouple and remove the interfering surface and bulk effects. The**aforementioned interfering surface and bulk effects are present during operation of any affinity sensor and their presence is**detrimental to accurate determination of analyte concentrations.**Successful implementation of the objectives and Specific Aims described in this proposal will provide Nicoya with more advanced**systems; hence enabling Nicoya to compete more effectively in the current market, enhance its revenues and export opportunities,**create many additional jobs in Ontario, and provide a training opportunity for new hires via collaborating with the UofT team.**
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