ERI: Robust and Scalable Manufacturing of Ultra-Sensitive and Selective Molecule Sensor Arrays
ERI:稳健且可扩展的超灵敏和选择性分子传感器阵列制造
基本信息
- 批准号:2301668
- 负责人:
- 金额:$ 19.97万
- 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:2024-02-01 至 2026-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
To date, molecule sensors not only have a profound impact on various areas in clinical diagnostics, but also find applications in medicine, pharma, food and process control, environmental monitoring, defense and security. However, a low-cost and scalable manufacturing capability for ultra-sensitive and selective electronic molecule sensors has yet to be achieved. This Engineering Research Initiation (ERI) project will develop a novel and broadly applicable platform for detecting molecules at the single molecule scale in real-time, using nanoparticle organized single-molecule sensors patterned on a highly scalable sensor array chip. The manufacturing method is highly reproducible, scalable and of extremely low cost, due to its inherent “bottom-up” manufacturing strategy. Such electronic molecule sensor arrays are both practically manufacturable in the near term, and have a durable long-term scaling roadmap, thus providing an ideal way to bring the power of advanced manufacturing to the broad area of molecule sensing. The outcome of this project will greatly impact a variety of fields with beneficial economic and workforce implications, transition fundamental scientific discoveries into useful technologies that benefit society, promote scientific progress, increase national prosperity, and maintain US leadership in advanced manufacturing. In addition, this project will establish a program of integrated research and education, promoting education and interdisciplinary approaches in the areas of science, technology, engineering, and mathematics.The goal of this project is to develop a novel, robust and scalable manufacturing process for ultra-sensitive and selective electronic molecule sensor arrays to enable real time and label-free detection of targe molecule in an all-electronic format compatible with field deployment on integrated circuit chips by leveraging recent advances in singe-molecule charge transport and colloidal cracking. This project offers solutions to two key challenges in the field. The first is creating electronic molecule sensors capable of switching ON (i.e., from insulating to conductive state) in response to target molecule binding at single molecule scale that can be seamlessly integrated on chips. The second is scalable and low-cost manufacturing method at device scale for electrode pattern with extremely small gap between electrodes so that it can yield effective sensing current, and therefore, ultra-high sensitivity. Moreover, this project advances knowledge of charge transport in molecule sensor over three distinct length scales: single molecule, single nanoparticle, and assembled molecule-nanoparticle network. This work has potentially transformative impact in realizing a long-term endeavor towards advanced manufacturing - integrating single molecules into electronic chips for molecule sensor manufacturing to achieve the ultimate miniaturization of molecular electronics.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.
迄今为止,分子传感器不仅对临床诊断的各个领域产生深远的影响,而且还在医学、制药、食品和过程控制、环境监测、国防和安全等领域得到应用。超灵敏和选择性电子分子传感器尚未实现,该工程研究启动(ERI)项目将开发一种新颖且广泛适用的平台,使用纳米颗粒组织的单分子传感器实时检测单分子尺度的分子。图案化在一个高度可扩展的传感器阵列芯片。由于其固有的“自下而上”制造策略,这种制造方法具有高度可重复性、可扩展性和极低的成本,这种电子分子传感器阵列既可以在短期内实际制造,又具有耐用性。长期扩展路线图,从而提供了将先进制造的力量引入分子传感广泛领域的理想选择,该项目的成果将极大地影响各个领域,带来有益的经济和劳动力影响,并转变基础科学发现。变成有用的此外,该项目还将建立一个综合研究和教育计划,促进科学、技术、工程领域的教育和跨学科方法。该项目的目标是为超灵敏和选择性电子分子传感器阵列开发一种新颖、稳健和可扩展的制造工艺,从而能够以与利用集成电路芯片的现场部署该项目为该领域的两个关键挑战提供了解决方案,第一个是创建能够响应目标分子结合而打开(即从绝缘状态到导电状态)的电子分子传感器。第二个是在器件规模上可扩展且低成本的制造方法,用于电极之间间隙极小的电极图案,从而可以产生有效的传感电流,从而产生超高的电流。此外,该项目在三个不同长度尺度上的分子传感器电荷传输方面取得了进展:单分子、单纳米颗粒和组装的分子-纳米颗粒网络。这项工作对于实现先进制造的长期努力具有潜在的变革性影响。将单分子集成到电子芯片中,用于分子传感器制造,以实现分子电子学的最终小型化。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优点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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Bo Li其他文献
Wiener-filter-based Minimum Variance Self-tuning Regulation
基于维纳滤波器的最小方差自调节调节
- DOI:
10.1016/s0005-1098(97)00190-8 - 发表时间:
1996 - 期刊:
- 影响因子:0
- 作者:
R. Horowitz;Bo Li;James McCormick - 通讯作者:
James McCormick
Validity and reliability of patient section of evidence-based medical records about doctor-patient building through integrated therapy of traditional Chinese and Western medicine (DPEBMR-P) in patients with gastrointestinal diseases (DOI: 10.21037/atm.201
胃肠道疾病患者中西医结合医患构建(DPEBMR-P)循证病历患者部分的有效性和可靠性(DOI:10.21037/atm.201)
- DOI:
10.21037/atm.2018.12.27 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Shuo Feng;Lingxiao Chen;Guihua Tian;Jing Hu;Yang Ding;Zhengguang Du;Hongkai Zhang;Bo Li;Yang Li - 通讯作者:
Yang Li
Single-event burnout hardening of planar power MOSFET with partially widened trench source
部分加宽沟槽源平面功率 MOSFET 的单粒子烧毁硬化
- DOI:
10.1088/1674-4926/39/3/034003 - 发表时间:
2018-03 - 期刊:
- 影响因子:5.1
- 作者:
Jiang Lu;Hai nan Liu;Xiaowu Cai;Jiajun Luo;Bo Li;Binhong Li;Lixin Wang;Zhengsheng Han - 通讯作者:
Zhengsheng Han
Formation mechanisms of solid in water in oil compound droplets in a horizontal T-junction device
水平T型连接装置中油包水复合液滴的形成机理
- DOI:
10.1016/j.ces.2017.10.049 - 发表时间:
2018-02 - 期刊:
- 影响因子:4.7
- 作者:
Dawei Pan;Meifang Liu;Fang Li;Qiang Chen;Xiangdong Liu;Yiyang Liu;Zhanwen Zhang;Weixing Huang;Bo Li - 通讯作者:
Bo Li
Automatic Ship Detection in Optical Remote Sensing Images Based on Anomaly Detection and SPP-PCANet
基于异常检测和SPP-PCANet的光学遥感图像船舶自动检测
- DOI:
10.3390/rs11010047 - 发表时间:
2018-12 - 期刊:
- 影响因子:5
- 作者:
Nan Wang;Bo Li;Yonghua Wang - 通讯作者:
Yonghua Wang
Bo Li的其他文献
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{{ truncateString('Bo Li', 18)}}的其他基金
Characterizing CmodAA-Containing Biosynthetic Pathways of Nonribosomal Peptides
表征非核糖体肽的含 CmodAA 生物合成途径
- 批准号:
2310177 - 财政年份:2023
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
Collaborative Research: NRI: Smart Skins for Robotic Prosthetic Hand
合作研究:NRI:机器人假手智能皮肤
- 批准号:
2221102 - 财政年份:2022
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
CAREER: DeepTrust: Enabling Robust Machine Learning with Exogenous Information
职业:DeepTrust:利用外源信息实现稳健的机器学习
- 批准号:
2046726 - 财政年份:2021
- 资助金额:
$ 19.97万 - 项目类别:
Continuing Grant
ATD: Statistical and Machine Learning Methods for Studying the Dynamics of Weather and Climate Extremes
ATD:研究天气和极端气候动态的统计和机器学习方法
- 批准号:
2124576 - 财政年份:2021
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
Collaborative Research: Spatiotemporal Dynamics of Interacting Bacterial Communities in Compact Colonies
合作研究:紧密菌落中相互作用的细菌群落的时空动态
- 批准号:
2029574 - 财政年份:2020
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
Sorting and Assembly of Nanomaterials on Polymer Substrates Using Fluidic and Weak Ultrasound Fields for Fabrication of Flexible Electronic Devices
使用流体和弱超声场在聚合物基底上分类和组装纳米材料以制造柔性电子器件
- 批准号:
2003077 - 财政年份:2020
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
AF: Small: Collaborative Research: Rigorous Approaches for Scalable Privacy-preserving Deep Learning
AF:小型:协作研究:可扩展的隐私保护深度学习的严格方法
- 批准号:
1910100 - 财政年份:2019
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
Travel Support for Student Participation at the 2018 ASME-IMECE Micro and Nano Technology Forum; Pittsburgh, PA, November 12-15, 2018
为学生参加2018年ASME-IMECE微纳米技术论坛提供差旅支持;
- 批准号:
1854005 - 财政年份:2018
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
ATD: Collaborative Research: Predicting the Threat of Vector-Borne Illnesses Using Spatiotemporal Weather Patterns
ATD:合作研究:利用时空天气模式预测媒介传播疾病的威胁
- 批准号:
1830312 - 财政年份:2018
- 资助金额:
$ 19.97万 - 项目类别:
Continuing Grant
An integrated experimental and computational study of erythrocyte adhesion mechanics in blood flows
血流中红细胞粘附力学的综合实验和计算研究
- 批准号:
1706295 - 财政年份:2017
- 资助金额:
$ 19.97万 - 项目类别:
Standard Grant
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