PFI-TT: Development of a visual sensor to non-invasively monitor biodegradable magnesium alloy implants for biomedical applications
PFI-TT:开发视觉传感器,以非侵入性方式监测生物医学应用中的可生物降解镁合金植入物
基本信息
- 批准号:2016475
- 负责人:
- 金额:$ 25万
- 依托单位:
- 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
- 起止时间:2020-08-15 至 2024-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to understand the biodegradation of magnesium (Mg) alloys used in medical implants and to provide a needed diagnostic sensor for post-surgery evaluation of patients. Mg alloys are increasingly used in biodegradable implants for repairing broken bones and other medical applications because they dissolve after the bone is healed, leaving only the natural bone components. Almost 30% of metal implants such as stainless steel must be removed later due to complications or the need to accommodate a still-growing child. The beneficial aspect of using Mg alloys is that a second surgery is not needed, significantly reducing costs of care, surgery risk, and patient stress. Partnering with a technology commercialization expert, this PFI-TT project will enable development, testing, and optimization of the proposed sensor prototype to monitor the biodegradation of Mg-containing implants in both a laboratory and animal setting, promote education in innovation and entrepreneurship, and engage undergraduate and high school students into educational and research programs. This sensor has commercial potential because it fulfills the unmet need in this growing market for a simple diagnostic test for biodegradation progress that is easily performed in a doctor’s office.The proposed project aims to develop a sensitive, selective and fast-response hydrogen (H2) sensor in the form of a “Band-Aid” type device for the non-invasive monitoring of biodegradable Mg-containing implants. Commonly available X-ray technology works poorly for Mg alloys, because the density of Mg is so close to that of bone that the Mg implants cannot be easily distinguished from bone by X-ray. Thus, there is a critical need for a method to monitor the biodegradation of Mg alloys. Measurement of the low level of H2 gas from the slowly dissolving Mg permeating through skin for the purpose of monitoring the biodegradation of Mg implants is completely unique. The objective of this application is to optimize the H2 sensor prototype. The central hypothesis is that the H2 sensor will non-invasively cause a color change when exposed to H2 and provide a visual map of H2 levels over an area above the Mg implant. This hypothesis is formulated based on the supporting preliminary data. The underlying rationale is that the researchers will obtain insight into the overall design of the sensor, which is an essential step toward commercialization of the sensor for non-invasive monitoring of biodegradation of Mg-containing implants in patients.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.
该创新-技术转化合作伙伴关系(PFI-TT)项目的更广泛影响/商业潜力是了解医疗植入物中使用的镁(Mg)合金的生物降解,并为患者术后评估提供所需的诊断传感器。镁合金越来越多地用于可生物降解的植入物,用于修复骨折和其他医疗应用,因为它们在骨愈合后溶解,只留下天然的骨成分。近30%的金属植入物(如不锈钢)由于并发症或需要容纳仍在生长的儿童而必须在以后取出。使用镁合金的好处是不需要二次手术,显著降低了护理成本、手术风险和患者压力。该PFI-TT项目与技术商业化专家合作,将开发、测试和优化拟议的传感器原型,以监测实验室和动物环境中含镁植入物的生物降解,促进创新和创业教育,并让本科生和高中生参与教育和研究计划。该传感器具有商业潜力,因为它满足了这个不断增长的市场对生物降解过程的简单诊断测试的未满足的需求,该测试可以在医生的办公室轻松进行。拟议的项目旨在开发一种灵敏,选择性和快速响应的氢(H2)传感器,以“创可贴”类型的设备的形式,用于非侵入性监测可生物降解的含镁植入物。通常可用的X射线技术对镁合金效果不佳,因为镁的密度与骨的密度非常接近,以至于镁植入物不能通过X射线容易地与骨区分开。因此,迫切需要一种监测镁合金生物降解的方法。为了监测镁植入物的生物降解而测量渗透皮肤的缓慢溶解的镁中的低水平H2气体是完全独特的。本申请的目的是优化H2传感器原型。中心假设是,当暴露于H2时,H2传感器将非侵入性地引起颜色变化,并提供Mg植入物上方区域的H2水平的视觉图。这一假设是根据支持性初步数据制定的。其基本原理是,研究人员将深入了解传感器的整体设计,这是传感器商业化的重要一步,用于无创监测患者体内含镁植入物的生物降解。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。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Peng Zhang其他文献
Direct Observation of Axial Dynamics of Particle Manipulation With Weber Self-Accelerating Beams
用韦伯自加速梁直接观察粒子操纵的轴向动力学
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:7.5
- 作者:
Sha An;Tong Peng;Shaohui Yan;Baoli Yao;Peng Zhang - 通讯作者:
Peng Zhang
Deterioration of hematopoietic autophagy is linked to osteoporosis
造血自噬的恶化与骨质疏松症有关
- DOI:
10.1111/acel.13114 - 发表时间:
2020-03 - 期刊:
- 影响因子:7.8
- 作者:
Ye Yuan;Yixuan Fang;Lingjiang Zhu;Yue Gu;Lei Li;Jiawei Qian;Ruijin Zhao;Peng Zhang;Jian Li;Hui Zhang;Na Yuan;Suping Zhang;Qianhong Ma;Jianrong Wang;Youjia Xu - 通讯作者:
Youjia Xu
Compiling Cross-Language Network Programs Into Hybrid Data Plane
将跨语言网络程序编译到混合数据平面中
- DOI:
10.1109/tnet.2021.3132303 - 发表时间:
2022-06 - 期刊:
- 影响因子:0
- 作者:
Hao Li;Peng Zhang;Guangda Sun;Changhao Wu;Chengchen Hu;Danfeng Shan;Tian Pan;Qiang Fu - 通讯作者:
Qiang Fu
A Novel Multi-feature Joint Learning Framework for Multi-label Facial Expression Recognition
一种新颖的多标签面部表情识别多特征联合学习框架
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:3.9
- 作者:
Wanzhao Li;Mingyuan Luo;Peng Zhang;Wei Huang - 通讯作者:
Wei Huang
A residual graph convolutional network for setting initial flow field in computational fluid dynamics simulations
用于在计算流体动力学模拟中设置初始流场的残差图卷积网络
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Xiaoyuan Zhang;Guopeng Sun;Peng Zhang;Yueqing Wang;Jian Zhang;Liang Deng;Jie Lin;Jianqiang Chen - 通讯作者:
Jianqiang Chen
Peng Zhang的其他文献
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{{ truncateString('Peng Zhang', 18)}}的其他基金
CAREER: Fine-Grained Complexity and Algorithms for Structured Linear Equations and Linear Programs
职业:结构化线性方程和线性程序的细粒度复杂性和算法
- 批准号:
2238682 - 财政年份:2023
- 资助金额:
$ 25万 - 项目类别:
Continuing Grant
NSF Convergence Accelerator–Track D: AI-Grid: AI-Enabled, Provably Resilient, Programmable Networked Microgrids
NSF 融合加速器 - 轨道 D:人工智能网格:人工智能支持、可证明弹性、可编程网络微电网
- 批准号:
2134840 - 财政年份:2021
- 资助金额:
$ 25万 - 项目类别:
Cooperative Agreement
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SCH:RUI:用于加速罕见疾病社区内医疗通信的数字身份系统
- 批准号:
2153232 - 财政年份:2021
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SCH:RUI:用于加速罕见疾病社区内医疗通信的数字身份系统
- 批准号:
2105145 - 财政年份:2021
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
NSF Convergence Accelerator-Track D: AI-Enabled Provably Resilient Networked Microgrids
NSF 融合加速器 - 轨道 D:人工智能支持的可证明弹性的网络微电网
- 批准号:
2040599 - 财政年份:2020
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SBIR Phase I: A Cloud-based, AI-enabled ECG Analysis Platform for More Efficient Arrhythmia Detection
SBIR 第一阶段:基于云、支持人工智能的心电图分析平台,可更有效地检测心律失常
- 批准号:
2025951 - 财政年份:2020
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Enabling Reliable Networked Microgrids for Distribution Grid Resiliency
实现可靠的联网微电网,提高配电网的弹性
- 批准号:
2002897 - 财政年份:2019
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
US Ignite: Focus Area 1: SD2N: Software-Defined Urban Distribution Network for Smart Cities
US Ignite:重点领域 1:SD2N:智慧城市的软件定义城市配电网络
- 批准号:
2006828 - 财政年份:2019
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SCC: Empowering Smart and Connecticut Communities through Programmable Community Microgrids
SCC:通过可编程社区微电网增强智能和康涅狄格社区的能力
- 批准号:
2018492 - 财政年份:2019
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
SCC: Empowering Smart and Connecticut Communities through Programmable Community Microgrids
SCC:通过可编程社区微电网增强智能和康涅狄格社区的能力
- 批准号:
1831811 - 财政年份:2018
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
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