RII Track-2 FEC: Advancing Manufacturing and Biotechnology through an On-Demand Sensor Platform: Investments in the Development of Engineering Principles and the Future Workforce

RII Track-2 FEC：通过按需传感器平台推进制造和生物技术：投资于工程原理和未来劳动力的开发

• 批准号: 2119237
• 负责人: Jeffrey Halpern
• 金额: $ 599.72万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2119237&HistoricalAwards=false
• 关键词: RII; Track; FEC; Advancing; Manufacturing

The proposed research represents a comprehensive advancement in biosensor design, biotechnology, and engineering and prepares AL, ME, NH, and WY to take full advantage of the anticipated growth of Biotechnology and Advanced Manufacturing industries. Today, biomanufacturing industries are limited by a lack of effective tools for monitoring key proteins which provide information on product quality in real time. Current protein sensors are limited to spectroscopic measurements (which are non-specific and require expensive equipment) or off-line, laboratory-based approaches. To address the need for on-demand biosensors to continuously monitor proteins in biomanufacturing processes, we have assembled a geographically diverse team from the University of New Hampshire, Auburn University, the University of New England, the University of Wyoming, and the University of Maine. This research will be coupled with a multi-tiered workforce development plan integrated throughout the project that includes training for a new biotechnology workforce in AL, ME, NH, and WY. The workforce development includes individual components for early-career faculty, postdoctoral scholars, graduate and undergraduate students, K-12 students, and the broader communities in the jurisdictions, all tied together through an annual academic-industry symposium. The proposed research represents a comprehensive advancement in biosensor design, biotechnology, and engineering and prepares AL, ME, NH, and WY to take full advantage of the anticipated growth of Biotechnology and Advanced Manufacturing industries. Today, biomanufacturing industries are limited by a lack of effective tools for monitoring key proteins which provide information on product quality in real time. The project will develop engineering principles to guide on-demand biosensor design towards Industry 4.0 applications. Four distinct yet collaborative research projects will produce a full assortment of sensor components to achieve the continuous, in-line process monitoring that is essential for economically viable quality-by-design biomanufacturing. Project 1 focuses on the development and validation of computational methods to design protein recognition elements (REs) with targeted hotspot interactions. Project 2 will produce engineering principles for creating analyte-responsive polymers that amplify the signal of analyte binding to REs at process conditions. Project 3 will develop innovative Scanning ElectroChemical Cell Microscopy techniques to reproducibly nanopattern surfaces to control sensor form factors and array construction. Finally, Project 4 will measure the electrochemical transduction of surface events of analyte-responsive polymers and test designed sensors for measuring IL-6 and insulin in-line and continuously. Combined, the four projects will be integrated into a single sensor device capable of measuring changes in protein levels, specifically IL-6 and insulin, continuously and in real time for industrial applications. This research represents a close collaboration with researchers from a geographically diverse team from the University of New Hampshire, Auburn University, the University of New England, the University of Wyoming, and the University of Maine, and will be coupled with a multi-tiered workforce development plan integrated throughout the project that includes training for a new biotechnology workforce in AL, ME, NH, and WY.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.

拟议的研究代表了生物传感器设计，生物技术和工程的全面进步，并准备AL，ME，NH和WY充分利用生物技术和先进制造业的预期增长。今天，生物制造业受到缺乏有效的工具来监测关键蛋白质的限制，这些蛋白质可以提供真实的产品质量信息。目前的蛋白质传感器仅限于光谱测量（其是非特异性的并且需要昂贵的设备）或离线的基于实验室的方法。为了满足按需生物传感器在生物制造过程中持续监测蛋白质的需求，我们组建了一个来自新罕布什尔州大学、奥本大学、新英格兰大学、怀俄明州大学和缅因州大学的地理位置不同的团队。这项研究将与多层次的劳动力发展计划相结合，该计划贯穿整个项目，包括在AL，ME，NH和WY培训新的生物技术劳动力。劳动力发展包括早期职业教师，博士后学者，研究生和本科生，K-12学生以及司法管辖区内更广泛的社区的各个组成部分，所有这些都通过年度学术行业研讨会联系在一起。拟议的研究代表了生物传感器设计，生物技术和工程的全面进步，并准备AL，ME，NH和WY充分利用生物技术和先进制造业的预期增长。今天，生物制造业受到缺乏有效的工具来监测关键蛋白质的限制，这些蛋白质可以提供真实的产品质量信息。该项目将开发工程原理，以指导工业4.0应用的按需生物传感器设计。 四个不同的合作研究项目将生产各种传感器组件，以实现连续的在线过程监测，这对于经济上可行的质量设计生物制造至关重要。项目1的重点是开发和验证计算方法，以设计具有靶向热点相互作用的蛋白质识别元件（RE）。项目2将产生用于创建分析物响应聚合物的工程原理，该聚合物在工艺条件下放大分析物与RE结合的信号。项目3将开发创新的扫描电化学细胞显微镜技术，以可重复的纳米图案表面控制传感器的形状因素和阵列结构。最后，项目4将测量分析物响应聚合物的表面事件的电化学转导，并测试设计用于在线和连续测量IL-6和胰岛素的传感器。结合起来，这四个项目将被集成到一个单一的传感器设备，能够测量蛋白质水平的变化，特别是IL-6和胰岛素，连续和真实的时间为工业应用。这项研究代表了与来自新罕布什尔州大学、奥本大学、新英格兰大学、怀俄明州大学和缅因州大学的地理位置不同的团队的研究人员的密切合作，并将与贯穿整个项目的多层次劳动力发展计划相结合，包括在AL、ME、NH、该奖项反映了NSF的法定使命，并被认为是值得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的支持。

项目成果

On-Demand Electrochemical Fabrication of Ordered Nanoparticle Arrays using Scanning Electrochemical Cell Microscopy

使用扫描电化学电池显微镜按需电化学制造有序纳米颗粒阵列

• DOI: 10.1021/acsnano.2c09336
• 发表时间: 2022
• 期刊: ACS Nano
• 影响因子: 17.1
• 作者: Rahman, Md. Maksudur;Tolbert, Chloe L.;Saha, Partha;Halpern, Jeffrey M.;Hill, Caleb M.
• 通讯作者: Hill, Caleb M.