NSF Convergence Accelerator Track L: An Integrated and Miniaturized Opioid Sensor System: Advancing Evidence-Based Strategies for Addressing the Opioid Crisis
NSF 融合加速器轨道 L:集成和小型化阿片类药物传感器系统:推进解决阿片类药物危机的循证策略
基本信息
- 批准号:2344344
- 负责人:
- 金额:$ 64.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-01-15 至 2024-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research addresses the pressing public health challenge of the opioid crisis through the development of innovative, cost-efficient, portable opioid biosensors. The interdisciplinary team, comprising experts from academia, industries, healthcare, and governments, aims to deliver real-world solutions to combat the opioid epidemic. The project's importance lies in its potential to provide immediate, accurate opioid detection and monitoring, which is crucial for effective law enforcement, precise medicine and treatment, and environmental monitoring. This technology aligns with NSF's mission by contributing to the advancement of science, promoting national health, and enhancing public welfare. The broader impacts of this initiative include raising public awareness about opioid risks, fostering educational opportunities in science and technology, and developing a skilled workforce. The project aims to create a paradigm shift in opioid crisis management, offering tangible solutions that can reduce opioid misuse, enhance public safety, and inform effective policy-making. Additionally, it addresses societal needs, including promoting public education on opioid risks and fostering technological and scientific workforce development. The project centers on the creation of a novel opioid biosensor technology, named iM-Dr (inter-Molecular Interaction-enabled Detective Recognition), offering advancements such as high sensitivity, selectivity and versatility. Various forms of biosensors, including handheld probes, test strips, and wearable patches, are being developed to cater to diverse applications. The project incorporates cutting-edge sensor materials, artificial intelligence integration, and comprehensive social impact studies. The project also aims for scalability to ensure widespread accessibility and integration into different sectors of society. The expected outcome is a significant reduction in opioid-related incidents and deaths, an increase in public awareness, and an enhanced framework for research and policy development addressing the opioid crisis.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.
这项研究通过开发创新的,具有成本效益的便携式阿片类生物传感器来解决阿片类药物危机的紧迫公共卫生挑战。该跨学科团队由来自学术界、行业、医疗保健和政府的专家组成,旨在提供现实世界的解决方案,以对抗阿片类药物的流行。该项目的重要性在于其提供即时,准确的阿片类药物检测和监测的潜力,这对于有效执法,精确的药物和治疗以及环境监测至关重要。这项技术符合NSF的使命,有助于科学的进步,促进国民健康,提高公共福利。这一举措的更广泛影响包括提高公众对阿片类药物风险的认识,促进科学和技术教育机会,以及培养熟练的劳动力。该项目旨在实现阿片类药物危机管理的范式转变,提供切实可行的解决方案,减少阿片类药物滥用,加强公共安全,并为有效的政策制定提供信息。此外,它还满足社会需求,包括促进关于阿片类药物风险的公共教育,并促进技术和科学劳动力的发展。该项目的核心是创建一种新型阿片类生物传感器技术,名为iM-Dr(分子间相互作用使能的检测识别),提供高灵敏度,选择性和多功能性等进步。正在开发各种形式的生物传感器,包括手持式探头、测试条和可穿戴贴片,以满足不同的应用。该项目结合了尖端的传感器材料、人工智能集成和全面的社会影响研究。该项目还旨在扩大规模,以确保广泛的无障碍环境和融入社会的不同部门。预期结果是大幅减少阿片类药物相关事件和死亡,提高公众意识,并加强解决阿片类药物危机的研究和政策制定框架。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(0)
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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Xinyu Zhang其他文献
Model averaging with covariates that are missing completely at random
对完全随机缺失的协变量进行模型平均
- DOI:
10.1016/j.econlet.2013.09.008 - 发表时间:
2013-12 - 期刊:
- 影响因子:2
- 作者:
Xinyu Zhang - 通讯作者:
Xinyu Zhang
Influence of Nb addition on microstructural evolution and compression mechanical properties of Ti-Zr alloys
Nb添加对Ti-Zr合金显微组织演变和压缩力学性能的影响
- DOI:
10.1016/j.jmst.2020.03.092 - 发表时间:
2021-04 - 期刊:
- 影响因子:10.9
- 作者:
Pengfei Ji;Bohan Chen;Bo Li;Yihao Tang;Guofeng Zhang;Xinyu Zhang;Mingzhen Ma;Riping Liu - 通讯作者:
Riping Liu
Genotype variant screening and phenotypic analysis of FBN1 in Chinese patients with isolated ectopia lentis
中国孤立性晶状体异位患者FBN1基因型变异筛查及表型分析
- DOI:
10.3892/mmr.2021.11914 - 发表时间:
2021-02 - 期刊:
- 影响因子:3.4
- 作者:
Yijing Zhou;Dongwei Guo;Qianzhong Cao;Xinyu Zhang;Guangming Jin;Danying Zheng - 通讯作者:
Danying Zheng
Main controls on the denitrification rates during cropland revegetation in the southwest China Karst Critical Zone Observatory
西南喀斯特关键带观测站农田植被恢复反硝化率的主要控制
- DOI:
10.1016/j.agee.2020.107228 - 发表时间:
2021-03 - 期刊:
- 影响因子:0
- 作者:
D;an Li;Xinyu Zhang;Jennifer A.J. Dungait;Sophie M. Green;Xuefa Wen;Timothy A. Quine;Qiubing Wang - 通讯作者:
Qiubing Wang
Tailoring anionic solar evaporator with an enhanced Donnan effect for a highly effective salt resistance desalination and water purification
定制具有增强唐南效应的阴离子太阳能蒸发器,以实现高效的抗盐海水淡化和水净化
- DOI:
- 发表时间:
- 期刊:
- 影响因子:8.6
- 作者:
Xu Zhang;Xinyu Zhang;Liang Ma;Bing Xu;Haibing Cong - 通讯作者:
Haibing Cong
Xinyu Zhang的其他文献
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{{ truncateString('Xinyu Zhang', 18)}}的其他基金
Effective Strategies to Recruit Underserved Students to Baccalaureate Engineering Success and Transition Programs (Recruit-BEST)
招募服务不足的学生参加学士学位工程成功和过渡计划的有效策略(Recruit-BEST)
- 批准号:
2320120 - 财政年份:2023
- 资助金额:
$ 64.96万 - 项目类别:
Standard Grant
Collaborative Research: NeTS: Medium: Scalable Metasurface Array for mmWave Communication and Sensing
合作研究:NeTS:Medium:用于毫米波通信和传感的可扩展超表面阵列
- 批准号:
2312715 - 财政年份:2023
- 资助金额:
$ 64.96万 - 项目类别:
Continuing Grant
Collaborative Research:SWIFT: Exploiting Application Semantics in Intelligent Cross-Layer Design to Enhance End-to-End Spectrum Efficiency
合作研究:SWIFT:利用智能跨层设计中的应用语义来提高端到端频谱效率
- 批准号:
2128588 - 财政年份:2021
- 资助金额:
$ 64.96万 - 项目类别:
Standard Grant
CNS Core: Medium: Networked Smart Paper: Towards Invisible Wearables for Humans and Things
CNS 核心:媒介:网络智能纸:迈向人类和事物的隐形可穿戴设备
- 批准号:
1901048 - 财政年份:2019
- 资助金额:
$ 64.96万 - 项目类别:
Continuing Grant
CCRI: ENS: Enhancing a Millimeter-Wave Massive MIMO Platform to Support the 5G V2X Networking and Automotive Sensing Research Community
CCRI:ENS:增强毫米波大规模 MIMO 平台以支持 5G V2X 网络和汽车传感研究社区
- 批准号:
1925767 - 财政年份:2019
- 资助金额:
$ 64.96万 - 项目类别:
Standard Grant
CAREER: Scalable Distributed MIMO: Towards Density-Proportional Capacity Scaling for Infrastructure Wireless Networks
职业:可扩展分布式 MIMO:实现基础设施无线网络的密度比例容量扩展
- 批准号:
1854472 - 财政年份:2018
- 资助金额:
$ 64.96万 - 项目类别:
Continuing Grant
NeTS: Large: Collaborative Research: GigaNets: A Path to Experimental Research in Millimeter Wave Networking
NeTS:大型:协作研究:GigaNets:毫米波网络实验研究之路
- 批准号:
1952942 - 财政年份:2018
- 资助金额:
$ 64.96万 - 项目类别:
Continuing Grant
NeTS: Small: Collaborative Research: Fine-Grained Spectrum Access for Carrier-Aggregation Based Wireless Networks
NeTS:小型:协作研究:基于载波聚合的无线网络的细粒度频谱接入
- 批准号:
1954608 - 财政年份:2018
- 资助金额:
$ 64.96万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Fine-Grained Spectrum Access for Carrier-Aggregation Based Wireless Networks
NeTS:小型:协作研究:基于载波聚合的无线网络的细粒度频谱接入
- 批准号:
1617321 - 财政年份:2016
- 资助金额:
$ 64.96万 - 项目类别:
Standard Grant
NeTS: Large: Collaborative Research: GigaNets: A Path to Experimental Research in Millimeter Wave Networking
NeTS:大型:协作研究:GigaNets:毫米波网络实验研究之路
- 批准号:
1518728 - 财政年份:2015
- 资助金额:
$ 64.96万 - 项目类别:
Continuing Grant
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