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I-Corps: A Noninvasive Plasmonic Sensing System for Detecting Diabetes from Breath Acetone

I-Corps: A Noninvasive Plasmonic Sensing System for Detecting Diabetes from Breath Acetone
I-Corps:一种无创等离子传感系统,用于通过呼吸丙酮检测糖尿病
批准号:
2026729
负责人:
Yangyang Zhao
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-06-01 至 2020-11-30

项目摘要

项目成果

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中文摘要
翻译
这个I-Corps项目的更广泛的影响/商业潜力是为糖尿病患者提供无痛和方便的解决方案,帮助他们自我管理疾病。它还将帮助糖尿病前期患者在早期阶段确定血糖水平。该项目将探索一种新型传感器的平移机制,这种传感器可以用智能手机摄像头等商业电子产品进行测量。该系统还使用人工智能来帮助解释结果。 这个I-Corps项目提供了一个基于人工智能的等离子体传感系统,用于气体传感和生物传感目的。该项目使用专门设计和制造的纳米结构,其等离子传感器在可见波长处产生光信号。由此产生的信号可以通过CMOS相机测量。基于神经网络的数据分析系统用于研究图像,从而对目标分析物进行分类和量化。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The broader impact/commercial potential of this I-Corps project is to provide a painless and convenient solution to diabetes patients to help them self-manage the disease. It will also help pre-diabetic people determine blood glucose levels at an earlier stage. This project will explore translation mechanisms for a novel sensor that can be measured with commercial electronic products, such as a smartphone camera. The system also uses artificial intelligence to help interpret the results. This I-Corps project provides an artificial intelligence-based plasmonic sensing system for gas sensing and biosensing purposes. The project uses specially designed and fabricated nanostructures with a plasmonic sensor generating an optical signal at visible wavelengths. The resulting signal can be measured by a CMOS camera. A neural network-based data analyzing system is used to study the images and thus classify and quantify the target analytes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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