课题基金 / 基金详情

I-Corps: Deep Ultra Violet (DUV) - Light Emitting Diodes (LED) Disinfection: Commercialization of novel deep-UV light emitting diode module for disinfection applications

I-Corps: Deep Ultra Violet (DUV) - Light Emitting Diodes (LED) Disinfection: Commercialization of novel deep-UV light emitting diode module for disinfection applications
I-Corps:深紫外 (DUV) - 发光二极管 (LED) 消毒:用于消毒应用的新型深紫外发光二极管模块的商业化
批准号:
1844808
负责人:
Vladimir Protasenko
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2019-09-30

项目摘要

项目成果

Vladimir Protasenko的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The broader impact/commercial potential of this I-Corps project will be to investigate the severity of the healthcare-acquired-infection (HAI) and related problems in US hospitals and to lay a foundation to solve the issues by employing panels of deep ultra-violet (DUV) light emitting diodes (LEDs) integrated with robotic platforms. Human beings are continuously attacked by viruses, bacteria, and microbes populating the air, water, and soil. It makes people sick and, in some cases, the illness becomes lethal. Special care needs to be taken for immunity deficient people in hospitals who are recovering from sickness or surgery. The 2011 report from Centers for Disease Control and Prevention states that approximately 722,000 patients in hospitals acquired additional infection and had to stay extra ~18 days for treatment. It resulted in additional $30 billion cost to US taxpayers. While it is relatively easy to disinfect floors, ceilings, desks, and other flat and even surfaces in hospital rooms by DUV light, there are hard-to-reach and shadowed areas that require special attention. Our team believes that advent of DUV LED integrated with remotely controlled robotic platforms can provide efficient disinfection of shadowed areas and thus reduce the number of HAI cases. We are in the midst of discussion of testing our robotic prototypes with the administration of the Health Division of Sault Tribe of Chippewa Indians tribe. It is a great opportunity for publicizing modern health care technologies among Native Americans. HAI is a global problem. In the past the United States was a leader in developing cutting edge technologies in medicine, telecommunication, defense, and aero-space industries. It is therefore vitally important for the US industry to keep producing new high-tech products. If an US team can show the path of controlling HAI it will definitely have a global impact. This I-Corps project is based on the discoveries from an ongoing NSF-DMREF project. Our findings have shed light on how to overcome the major factors that limit the performance of DUV LEDs. In the research space a few unique properties of the PIs invented LEDs have been demonstrated: a) improved efficiency of light generation in ultra-thin GaN quantum wells, b) better light extraction efficiency, c) enhanced efficiency of carrier injection into quantum wells, and d) capability of LEDs to operate at cryogenic temperatures. Two provisional patent applications have been filed so far to protect the research outcome. Moving forward, our team has built a prototype by integrating commercial DUV LEDs with an autonomous robot to ensure human free disinfection of hospital rooms. It should be able to reach hard-to-access areas like space under beds and tables. We foresee that unique properties of our LEDs will reduce energy consumption by 5 times and enhance lifetime of LEDs. It will also lower the operating cost, improve disinfection of shadowed areas, and guarantee the absence of mercury, commonly found in mercury lamps, to ensure the absence of disposal problems.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
PFI-TT: Station consisting of ultra-violet, range C, light emitting diodes and mercury lamps for complete disinfection of mobile medical equipment
  • 批准号:
    1919203
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2019
  • 负责人:
    Vladimir Protasenko
  • 依托单位:
国内基金
海外基金
Deep Seek引导下预防肝硬化腹水患者发生腹腔感染的约翰霍普金斯循证实践模型下中医护理策略的构建研究
  • 批准号:
    2026JJ81909
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    胡曦
  • 依托单位:
基于Deep Unrolling的高分辨近红外二区荧光分子断层成像方法研究
  • 批准号:
    12271434
  • 项目类别:
    面上项目
  • 资助金额:
    46万元
  • 批准年份:
    2022
  • 负责人:
    贺小伟
  • 依托单位:
基于深度森林(Deep Forest)模型的表面增强拉曼光谱分析方法研究
  • 批准号:
    2020A151501709
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2020
  • 负责人:
    谢怡
  • 依托单位:
面向Deep Web的数据整合关键技术研究
  • 批准号:
    61872168
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2018
  • 负责人:
    董永权
  • 依托单位: