I-Corps: Non-invasive, touch-based, natural sweat glucose sensor
I-Corps:非侵入式、触摸式、自然汗液葡萄糖传感器
基本信息
- 批准号:2233076
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-15 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project is the development of a glucose sensor for diabetes patients. Diabetes mellitus impacts over 37.3 million people within the United States and 422 million people worldwide. All type 1 and most type 2 diabetes patients need frequent glucose testing to prevent life-threatening hyper/hypoglycemia, ketoacidosis, and long-term complications due to mismanaged glucose levels. Existing glucose sensors include capillary-blood fingersticks and subdermal continuous glucose monitors (CGM). Currently, over 95% of diabetes patients still use finger-pricking glucometers as their main glucose monitoring method, which is painful, messy, inconvenient, and creates social barriers. This technology provides a pain-free, convenient, and accessible sensing technology with discreet usage that helps diabetes patients understand their health status without the physical, social and financial burdens of CGM and fingersticks. With improved user compliance, this technology can collect data for personalized lifestyle training and personalized guiding services for better diet and diabetes management, and potentially improve the life quality of diabetes patients while reducing their healthcare costs.This I-Corps project is based on the development of a completely non-invasive, touch-based glucose sensor for spot glucose checking for diabetes patients. Unlike previous non-invasive glucose sensors that rely on unreliable near-infrared light or radio-frequency dielectric spectroscopy, this technology is based on FDA-approved electrochemical enzymatic glucose sensing which is highly selective and accurate. Instead of using fingertip capillary blood as the sensing biofluid, this sensor design allows the direct measurement of glucose within the constantly available passive perspiration from the fingertips. The technology allows users to obtain a sweat glucose reading by placing their fingers directly onto the sensor surface, where the natural fingertip sweat reacts readily with the sensor to produce an amperometric signal. With a first-time personalized calibration, the user is able to convert their sweat glucose signal to their blood glucose level with high accuracy. Thus, touch-based, non-invasive and reliable glucose sensing can be achieved.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.
该I-Corps项目的更广泛的影响/商业潜力是为糖尿病患者开发葡萄糖传感器。糖尿病会影响美国境内3730万人,全球4.22亿人口。所有类型1和大多数2型糖尿病患者都需要频繁的葡萄糖测试,以防止威胁生命的高血糖症,酮症酸中毒和长期并发症,这是由于葡萄糖水平不善而引起的。现有的葡萄糖传感器包括毛细血管血清指尖和下葡萄糖监测器(CGM)。目前,超过95%的糖尿病患者仍使用指尖的葡萄糖作为其主要葡萄糖监测方法,这是痛苦,凌乱,不便,并造成了社交障碍。这项技术提供了一种谨慎使用的无痛,方便且可访问的传感技术,可帮助糖尿病患者了解其健康状况,而无需CGM和Fingersticks的身体,社会和经济负担。借助改进的用户合规性,该技术可以收集用于个性化生活方式培训的数据和个性化指导服务,以更好地饮食和糖尿病管理,并有可能提高糖尿病患者的生活质量,同时降低其医疗保健成本。这是基于对糖尿病患者进行糖尿病患者的完全无创的基于触摸的葡萄糖传感器的开发。与以前依赖于不可靠的近红外光或射频介电光谱的非侵入性葡萄糖传感器不同,该技术基于FDA批准的电化学酶促葡萄糖感测,具有高度选择性和准确性。该传感器设计不用用指尖毛细血管作为传感生物流体,而是可以直接测量从指尖持续可用的被动汗水中的葡萄糖。该技术使用户可以通过将手指直接放在传感器表面来获得汗水读数,在该表面上,自然指尖汗液可以轻松地与传感器反应以产生安培信号。通过首次个性化校准,用户可以将其汗水信号转换为血糖水平,以高精度。因此,可以实现基于触摸的,非侵入性和可靠的葡萄糖感知。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响评估标准,被认为值得通过评估来获得支持。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Joseph Wang其他文献
Modeling Lunar Surface Charging Under Space Weather Conditions Derived From the ARTEMIS and OMNI Data
根据 ARTEMIS 和 OMNI 数据对太空天气条件下的月球表面充电进行建模
- DOI:
10.1109/tps.2023.3302896 - 发表时间:
2023 - 期刊:
- 影响因子:1.5
- 作者:
Ziyu Huang;Joseph Wang - 通讯作者:
Joseph Wang
Electron Kinetic Characteristics in Plasma Plumes: Fully Kinetic Simulations
等离子体羽流中的电子动力学特征:全动力学模拟
- DOI:
10.2514/6.2015-1395 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Yuan Hu;Joseph Wang - 通讯作者:
Joseph Wang
Characteristics of a rotated porous flow-through electrode
旋转多孔流通电极的特性
- DOI:
10.1021/ac50061a037 - 发表时间:
1980 - 期刊:
- 影响因子:7.4
- 作者:
W. Blaedel;Joseph Wang - 通讯作者:
Joseph Wang
Nanomachines: Fundamentals and Applications
- DOI:
- 发表时间:
2013-06 - 期刊:
- 影响因子:0
- 作者:
Joseph Wang - 通讯作者:
Joseph Wang
Large Bradbury–Nielsen Gate Optimized for Electrospray Time of Flight Spectroscopy
针对电喷雾飞行时间光谱优化的大型布拉德伯里-尼尔森门
- DOI:
10.2514/1.b38502 - 发表时间:
2022 - 期刊:
- 影响因子:1.9
- 作者:
Robert Antypas;Kevin Sampson;D. Torre;Joseph Wang - 通讯作者:
Joseph Wang
Joseph Wang的其他文献
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{{ truncateString('Joseph Wang', 18)}}的其他基金
3D Kinetic Simulations of Whistler Turbulence on a Parallel Supercomputer
并行超级计算机上惠斯勒湍流的 3D 动力学模拟
- 批准号:
1202603 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Collaborative Research: Multi-Input Biosensors with Built-in Logic
合作研究:具有内置逻辑的多输入生物传感器
- 批准号:
1066531 - 财政年份:2011
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Proposal: Tailoring nano- and micro-porous catalytic surfaces for microfluidic biofuel cells
合作提案:为微流体生物燃料电池定制纳米和微孔催化表面
- 批准号:
1057562 - 财政年份:2011
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: Rationale Design of Enhanced Catalytic Nanomotors
合作研究:增强催化纳米电机的基本原理设计
- 批准号:
0853375 - 财政年份:2009
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Characterization of Nanoparticle-Linked Biomolecule Assemblies for Advanced Bioelectronic Detection
用于先进生物电子检测的纳米颗粒连接生物分子组件的表征
- 批准号:
0840684 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
IRES: Participation in an International Student Satellite Project at KIT in Japan
IRES:参与日本 KIT 的国际学生卫星项目
- 批准号:
0826431 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
IRES: Participation in an International Student Satellite Project at KIT in Japan
IRES:参与日本 KIT 的国际学生卫星项目
- 批准号:
0909364 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Characterization of Nanoparticle-Linked Biomolecule Assemblies for Advanced Bioelectronic Detection
用于先进生物电子检测的纳米颗粒连接生物分子组件的表征
- 批准号:
0506529 - 财政年份:2005
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Characterization of DNA-Linked Nanoparticle Networks for Advanced Genetic Testing
用于高级基因测试的 DNA 连接纳米颗粒网络的表征
- 批准号:
0503891 - 财政年份:2004
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Collaborative Research: Developing Gene-Based Remote Detection
合作研究:开发基于基因的远程检测
- 批准号:
0332918 - 财政年份:2003
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
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