Collaborative Research: Chemically Modified, Plasma-Nanoengineered Graphene Nanopetals for Spontaneous, Self-Powered and Efficient Oil Contamination Remediation

合作研究:化学改性、等离子体纳米工程石墨烯纳米花瓣用于自发、自供电和高效的石油污染修复

基本信息

项目摘要

Spills and leakage of oil during offshore oil production or marine transportation cause both long-term damage to water ecosystems and loss of valuable resources. Thus, efficient strategies for capturing and treating such releases are urgently required. Gravity-driven siphons allow the transport of liquids between phases. Siphons have been utilized for various applications and hold promise for oil recovery. However, siphon devices generally suffer from significant issues such as low oil removal flow rate, poor stability, and inability to self-restart after disruption of the siphon. The goal of this project is to develop a novel oil skimming technology based on a new chemically modified graphene material. The hydrophobic nature of graphene is expected to result in high remediation efficiency. Experiments guided by computational molecular simulations will provide fundamental understanding of the interaction of oil with graphene nanochannels. Successful completion of this research will help guide the design of spontaneous, self-powered, and continuous oil remediation systems with significantly enhanced efficiency. Such systems would have broad-reaching impact on society by alleviating environmental and human health impacts of spilled oil. The overall goal of this research project is to understand the nature of interaction between oil and graphene nanochannels. This will be achieved through experiments designed to elucidate the mechanisms governing the synergistic effects of the nanochannel geometry and surface functionalization of plasma-nanoengineered, vertically standing graphene petal (GP) oil skimmers. Guided by molecular simulation results, researchers will design and demonstrate an oil skimmer system based on chemically modified GPs with controlled morphologies for spontaneous, self-powered, and highly efficient oil spill remediation. The knowledge learned from this research will offer insights into developing unique graphene materials to address pressing oil pollution issues. The design principles will also accelerate broader applications of graphene materials to other environmental applications such as seawater desalination, wastewater treatment, and soil and air pollution prevention and remediation. The project will also include significant educational activities, including research programs for local K-12 students, teachers, and undergraduates. Society will benefit from students acquiring relevant knowledge and skills to diversify and train the STEM workforce of the future.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.
近海石油生产或海上运输过程中的溢油和漏油对水生态系统造成长期损害,并造成宝贵资源的损失。因此,迫切需要有效的战略来捕获和处理这些释放。重力驱动的虹吸管允许在相之间输送液体。虹吸管已用于各种应用,并有望用于石油回收。然而,虹吸装置通常遭受显著的问题,例如低的除油流速、差的稳定性以及在虹吸中断之后不能自重启。该项目的目标是开发一种基于新型化学改性石墨烯材料的新型撇油技术。石墨烯的疏水性质预计将导致高修复效率。由计算分子模拟指导的实验将提供对油与石墨烯纳米通道相互作用的基本理解。这项研究的成功完成将有助于指导自发,自供电和连续的石油修复系统的设计,显着提高效率。这种系统将减轻溢油对环境和人类健康的影响,从而对社会产生广泛影响。该研究项目的总体目标是了解石油和石墨烯纳米通道之间相互作用的性质。这将通过旨在阐明纳米通道几何形状和等离子体纳米工程的表面官能化的协同效应的机制的实验来实现,垂直站立的石墨烯花瓣(GP)撇油器。在分子模拟结果的指导下,研究人员将设计和展示一种基于化学修饰的GP的撇油器系统,该系统具有可控的形态,可用于自发,自供电和高效的溢油修复。从这项研究中学到的知识将为开发独特的石墨烯材料提供见解,以解决紧迫的石油污染问题。这些设计原则还将加速石墨烯材料在其他环境应用中的更广泛应用,如海水淡化、废水处理以及土壤和空气污染预防和修复。该项目还将包括重要的教育活动,包括为当地K-12学生,教师和本科生提供的研究计划。社会将受益于学生获得相关的知识和技能,以多样化和培训未来的STEM劳动力。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

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Petros Voulgaris其他文献

Petros Voulgaris的其他文献

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{{ truncateString('Petros Voulgaris', 18)}}的其他基金

Collaborative Research: Towards Attack-Resilient Vision-Guided Unmanned Aerial Vehicles: An Observability Analysis Approach
合作研究:迈向抗攻击视觉引导无人机:一种可观测性分析方法
  • 批准号:
    2137764
  • 财政年份:
    2022
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant
Collaborative Research: Understanding the Synergistic Effect of Graphene Plasmonics and Nanoscale Spatial Confinement on Solar-Driven Water Phase Change
合作研究:了解石墨烯等离子体和纳米尺度空间约束对太阳能驱动水相变的协同效应
  • 批准号:
    1937949
  • 财政年份:
    2020
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant
Sampled Data Driven Attack Detection and Adaptation for Security in Control Systems
采样数据驱动的攻击检测和适应控制系统的安全
  • 批准号:
    1663460
  • 财政年份:
    2017
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant
AF: Small: Collaborative Research: Distributed Quasi-Newton Methods for Nonsmooth Optimization
AF:小:协作研究:非光滑优化的分布式拟牛顿方法
  • 批准号:
    1717154
  • 财政年份:
    2017
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant
Control of Giant Multi-Segmented Telescopes
巨型多段望远镜的控制
  • 批准号:
    1027437
  • 财政年份:
    2010
  • 资助金额:
    $ 22万
  • 项目类别:
    Continuing Grant
CSR-EHCS (EHS), TM: Compositional Technology for Safety-Critical Modular Systems
CSR-EHCS (EHS),TM:安全关键型模块化系统的组合技术
  • 批准号:
    0834409
  • 财政年份:
    2008
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant
Collaborative Research: Structured Control Design and Applications to Microcantilever Based Imaging
合作研究:结构化控制设计及其在微悬臂梁成像中的应用
  • 批准号:
    0301622
  • 财政年份:
    2003
  • 资助金额:
    $ 22万
  • 项目类别:
    Continuing Grant
RIA: Robust and High Performance Control of Multirate Sampled Data Systems
RIA:多速率采样数据系统的鲁棒高性能控制
  • 批准号:
    9308481
  • 财政年份:
    1993
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant

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