SNM: Customized Inkjet Printing of Graphene-Based Real-time Water Sensors

SNM：基于石墨烯的实时水传感器的定制喷墨打印

• 批准号: 1727846
• 负责人: Junhong Chen
• 金额: $ 150万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1727846&HistoricalAwards=false
• 关键词: SNM; Customized; Inkjet; Printing; Graphene

Low-cost sensors for real-time monitoring of contaminants in water, such as toxic heavy metal ions, could provide early warning of contamination, thereby improving drinking water safety and protecting public health. A graphene-based water sensor platform is thus explored for rapid, sensitive, and selective detection of various water contaminants, overcoming limitations of current sensing technologies such as slow detection and inadequate sensitivity. However, the commercialization of such a sensor system is limited by its relatively high manufacturing cost due to the batch processing that involves traditional lithographic electrode fabrication and multiple manual post-electrode fabrication processes. This award explores a low-cost customized inkjet printing process for manufacturing of graphene-based water sensors. The research entails engineering various inks and modifying the standard inkjet printing process to produce the complete sensor system, continuously. High throughput manufacturing of the nano-enabled water sensing systems reduces their cost and enhances market acceptance. The research outcomes provide the rationale for substrate selection and treatment, scalable methods for producing various inks suitable for inkjet printing, and process models for customized inkjet printing. Project results could be used for many other applications such as solar cells, lithium-ion batteries, and supercapacitors, enabling low-cost manufacturing of a wide range of printable electronic devices. The project trains diverse student populations including women and minorities on scalable nanomanufacturing, nanodevice design and real-time water-sensing technologies through hands-on research experience, a course module, and enriching existing curricula.The sensor platform is based on a field-effect transistor structure with reduced graphene oxide as the sensing channel and gold nanoparticles as anchoring sites of selective chemical probes. A major challenge for inkjet printing is the customization of the inkjet printing process for a specific device or system architecture. Customization involves engineering suitable inks, modifying the standard printing process parameters, and integrating components at different scales. The research team aims to close this knowledge gap by exploring inkjet printing of the entire graphene-based sensor system to enable the large-scale production via high throughput roll-to-roll nanomanufacturing of the sensor devices, which should result in low cost. The scalable nanomanufacturing of inks for all sensor components: electrode, sensing material, and probe, and their printing and integration into water sensor systems are investigated, together with methods for selecting and treating polymer substrates and customizing inkjet printing parameters. The sensor performance is validated in industrial testbeds through collaboration with A. O. Smith Corporation and NanoAffix Science, LLC. The project leads to a low-cost, high-yield scalable nanomanufacturing platform for graphene-based water sensor systems and other flexible electronic systems that can be readily commercialized by industrial partners.

低成本的传感器，用于对水中污染物进行实时监测（例如有毒重金属离子）的污染物，可以提供污染的预警，从而改善饮用水安全并保护公共卫生。 因此，探索了基于石墨烯的水传感器平台，以快速，敏感和选择性检测各种水污染物，克服当前传感技术（例如缓慢检测和灵敏度不足）的局限性。但是，这种传感器系统的商业化受到其相对较高的制造成本的限制，因为批处理处理涉及传统的光刻电极制造和多个手动电极后制造过程。 该奖项探讨了用于制造基于石墨烯的水传感器的低成本定制喷墨打印过程。该研究需要工程各种墨水，并修改标准的喷墨打印过程，以连续生产完整的传感器系统。高吞吐量的纳米水传感系统可降低其成本并增强市场接受度。研究结果为基材选择和处理提供了理由，可扩展的方法用于生产适合喷墨印刷的各种油墨以及定制喷墨打印的过程模型。项目结果可用于许多其他应用，例如太阳能电池，锂离子电池和超级电容器，从而实现了各种可打印的电子设备的低成本制造。 The project trains diverse student populations including women and minorities on scalable nanomanufacturing, nanodevice design and real-time water-sensing technologies through hands-on research experience, a course module, and enriching existing curricula.The sensor platform is based on a field-effect transistor structure with reduced graphene oxide as the sensing channel and gold nanoparticles as anchoring sites of selective chemical probes. 喷墨打印的主要挑战是针对特定设备或系统体系结构的喷墨打印过程的自定义。定制涉及工程适合的墨水，修改标准打印过程参数以及以不同尺度集成组件。 研究团队的目标是通过探索整个基于石墨烯的传感器系统的喷墨打印来缩小这一知识差距，以通过对传感器设备的高吞吐量滚动到滚动纳米制造来使大规模生产，这应该导致低成本。 所有传感器组件的墨水的可扩展纳米制造：电极，传感材料和探针，以及它们在水传感器系统中的印刷和集成，以及选择和处理聚合物基板以及自定义喷墨打印参数的方法。通过与A. O. Smith Corporation和Nanoaffix Science，LLC的合作，在工业测试床中验证了传感器性能。 该项目为基于石墨烯的水传感器系统和其他灵活的电子系统提供了一个低成本的可伸缩纳米制造平台，工业合作伙伴很容易将其商业化。

项目成果

High Volumetric Energy and Power Density Li2TiSiO5 Battery Anodes via Graphene Functionalization

• DOI: 10.1016/j.matt.2020.07.017
• 发表时间: 2020-08
• 作者: J. Lim;Sungkyu Kim;Norman S. Luu;J. Downing;M. T. Tan;Kyu‐Young Park;Jacob C. Hechter;V. Dravid-V.-Dr

Enhancing nanostructured nickel-rich lithium-ion battery cathodes via surface stabilization

通过表面稳定增强纳米结构富镍锂离子电池阴极

• DOI: 10.1116/6.0000580
• 发表时间: 2020
• 期刊: Journal of Vacuum Science & Technology A
• 影响因子: 2.9
• 作者: Lim, Jin-Myoung;Luu, Norman S.;Park, Kyu-Young;Tan, Mark T.;Kim, Sungkyu;Downing, Julia R.;He, Kai;Dravid, Vinayak P.;Hersam, Mark C.
• 通讯作者: Hersam, Mark C.

Hybrid Modeling and Sensitivity Analysis on Reduced Graphene Oxide Field-Effect Transistor

• DOI: 10.1109/tnano.2021.3076135
• 发表时间: 2021
• 期刊: IEEE Transactions on Nanotechnology
• 影响因子: 2.4
• 作者: Chao Wang;H. Pu;Xiaoyu Sui;Shiyu Zhou;Junhong Chen

Real‐Time Optical Process Monitoring for Structure and Property Control of Aerosol Jet Printed Functional Materials

实时光学过程监控，用于气溶胶喷射印刷功能材料的结构和性能控制

• DOI: 10.1002/admt.202000781
• 发表时间: 2020
• 期刊: Advanced Materials Technologies
• 影响因子: 6.8
• 作者: Tafoya, Rebecca R.;Cook, Adam W.;Kaehr, Bryan;Downing, Julia R.;Hersam, Mark C.;Secor, Ethan B.
• 通讯作者: Secor, Ethan B.

Additive manufacturing and applications of nanomaterial-based sensors

• DOI: 10.1016/j.mattod.2021.02.001
• 发表时间: 2021-03
• 期刊: Materials Today
• 影响因子: 24.2
• 作者: Xiaoyu Sui;J. Downing;M. Hersam;Junhong Chen