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

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.
该创新合作伙伴关系 - 技术转化 (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,并为患者的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,用于修复断骨和其他医疗应用,因为它们在骨骼愈合后会溶解,只剩下几乎 30% 的金属植入物(例如不锈钢)。由于并发症或需要容纳仍在生长的孩子而需要稍后移除,使用镁合金的好处是不需要进行第二次手术,从而显着降低护理成本、手术风险和患者压力。作为商业化专家,该 PFI-TT 项目将实现所提出的传感器原型的开发、测试和优化,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,并吸引本科生和高中生参与。学校学生进入教育和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进展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气。 (H2) 传感器采用“创可贴”型装置,用于对可生物降解的含镁植入物进行非侵入性监测。常用的 X 射线技术对于镁合金效果不佳,因为镁合金的密度较高。镁与骨骼的成分非常接近,以至于通过 X 射线无法轻易将镁植入物与骨骼区分开来,因此,迫切需要一种方法来监测镁合金的生物降解情况,并测量其中的低水平氢气。为了监测镁植入物的生物降解而缓慢溶解的镁是完全独特的,该应用的目的是优化氢气传感器原型,其中心假设是氢气传感器将是非侵入性的。当暴露于 H2 时会引起颜色变化,并提供 Mg 植入物上方区域的 H2 水平的可视化图。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 Mg 植入物的整体设计。该传感器,这是用于无创监测患者体内含镁植入物生物降解的传感器商业化的重要一步。该奖项反映了 NSF 的法定使命,并通过利用基金会的智力优势和更广泛的评估进行评估,认为值得支持影响审查标准。

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)
Indicator Dyes and Catalytic Nanoparticles for Irreversible Visual Hydrogen Sensing
用于不可逆视觉氢传感的指示剂染料和催化纳米颗粒
  • DOI:
    10.1021/acs.analchem.0c01769
  • 发表时间:
    2020-08
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    Smith, Michael E.;Stastny, Angela L.;Lynch, John A.;Yu, Zhao;Zhang, Peng;Heineman, William R.
  • 通讯作者:
    Heineman, William R.
A Visual Hydrogen Sensor Prototype for Monitoring Magnesium Implant Biodegradation
用于监测镁植入物生物降解的视觉氢传感器原型
  • DOI:
    10.1021/acs.analchem.1c01276
  • 发表时间:
    2021-08
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    Smith, Michael E.;Rose, Daniel P.;Cui, Xiaoyu;Stastny, Angela L.;Zhang, Peng;Heineman, William R.
  • 通讯作者:
    Heineman, William R.
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Peng Zhang其他文献

Microwave frequency combs source based on Brillouin scattering
基于布里渊散射的微波频率梳源
  • DOI:
    10.1201/b18592-106
  • 发表时间:
    2015-06-23
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Peng Zhang;Tianshu Wang;Wanzhuo Ma;Li;S. Tong;Huiling Jiang;M. Kong;Xin Liu
  • 通讯作者:
    Xin Liu
Effects of dissolved black carbon bound with goethite on physicochemical properties and adsorption capacity for imidacloprid: Adsorption versus coprecipitation
溶解的黑碳与针铁矿结合对吡虫啉的物理化学性质和吸附能力的影响:吸附与共沉淀
  • DOI:
    10.3389/fenvs.2022.1013282
  • 发表时间:
    2022-09-29
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Peng Zhang;Mingming Ma;Xingying Meng;Yifei Shao;Aiju Liu
  • 通讯作者:
    Aiju Liu
Synthetic Biology Speeds Up Drug Target Discovery
合成生物学加速药物靶点发现
  • DOI:
    10.3389/fphar.2020.00119
  • 发表时间:
    2020-02-26
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Yixuan Xie;Yanfang Yang;Yu He;Xixi Wang;Peng Zhang;Haocheng Li;S. Liang
  • 通讯作者:
    S. Liang
Rain Rate and Water Vapor Density Measurement based on Millimeter-wave Backhaul Links
基于毫米波回程链路的降雨率和水汽密度测量
An approach of power allocation scheme for relay communication networks based on seller-buyer game
基于买卖双方博弈的中继通信网络功率分配方案方法
  • DOI:
    10.1109/chicc.2015.7260661
  • 发表时间:
    2015-07-28
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Peng Zhang;Zhixin Liu;Ling Zhao;Hongjiu Yang;Xinbin Li
  • 通讯作者:
    Xinbin Li

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
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SC​​H: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
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SC​​H: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
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
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
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
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
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
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
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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