课题基金 / 基金详情

Opening the black box: Imaging nanoparticle transport with magnetic resonance imaging

Opening the black box: Imaging nanoparticle transport with magnetic resonance imaging
打开黑匣子:利用磁共振成像对纳米颗粒传输进行成像
批准号:
NE/G010269/1
负责人:
Vernon Phoenix
金额:
$2.96万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2009
资助国家:
英国
项目状态:
已结题
起止时间:
2009 至 --

项目摘要

项目成果

Vernon Phoenix的其他基金

相似基金

相关文献

中文摘要
翻译
了解纳米颗粒通过多孔地质材料的运输是必要的,以提供有效的预测和减轻纳米颗粒污染。通常,包含岩石、沉积物或土壤的填充柱实验用于量化纳米颗粒如何通过这些介质。虽然信息量很大,但获得的数据是色谱柱内复杂和异质相互作用阵列的整体平均值。像自然系统一样,柱内的材料将在几何形状、流体动力学和微生物学方面表现出复杂的异质性。问题是,因为这种材料不是“透明的”,我们不能看到内部直接可视化这些异质性如何影响纳米颗粒的运输。然而,这是可以改变的。磁共振成像(MRI)是一种高度通用的工具,它可以成像孔隙结构和流体流动在不透明的地质材料。此外,标记有顺磁性标签的分子对于MRI是容易可见的,使得它们通过多孔系统的运输能够被真实的实时成像。这种技术在医学科学中被大量使用,以跟踪感兴趣的分子在人类和其他哺乳动物系统中的运输。在这项研究中,我们建议使用磁共振成像和纳米粒子标记的顺磁性标签的图像纳米粒子的运输和命运的包装列。实验也将在允许生物膜在孔隙网络中生长后在相同的材料上进行(生物膜预计将表现为纳米颗粒的主要汇)。重要的是,这将展示如何使用这样的方法来揭示这些系统中的复杂的异质性如何有助于纳米颗粒的整体散装运输。最终,这项技术将使研究人员能够探测复杂系统中的纳米颗粒运输,并开发出有充分依据的纳米颗粒运输预测模型。
英文摘要
Understanding the transport of nanoparticles through porous geologic material is imperative to provide effective prediction and mitigation of nanoparticlulate pollution. Often, packed column experiments containing rock, sediment or soil are used to quantify how nanoparticles move through these media. Whilst highly informative, the data obtained is a bulk average of a complex and heterogeneous array of interactions within the column. Like natural systems, the material within the column will display complex heterogeneities in geometry, hydrodynamics and microbiology. Problematically, because this material is not 'see-through' we cannot look inside to directly visualize how these heterogeneities impact the transport of the nanoparticle. This, however, can change. Magnetic resonance imaging (MRI) is a highly versatile tool which can image pore structure and fluid flow in opaque geological material. Moreover, molecules labelled with a paramagnetic tag are readily visible to MRI enabling their transport through porous systems to be imaged in real time. Such technology is heavily used in the medical sciences to track the transport of molecules of interest in human and other mammalian systems. In this study we propose to use MRI and nanoparticles labelled with a paramagnetic tag to image nanoparticulate transport and fate in packed columns. Experiments will also be performed on the same material after biofilms have been allowed to grow in the pore networks (the biofilms are expected to behave as major sinks for the nanoparticles). Critically, this will demonstrate how such a method can be used to reveal how the complex heterogeneities in these systems contribute to the overall bulk transport of nanoparticulates. Ultimately, this technique will enable researchers to probe nanoparticulate transport in complex systems and moreover, to develop well-founded predictive models of nanoparticulate transport.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Characterization of nanoparticle transport through quartz and dolomite gravels by magnetic resonance imaging
通过磁共振成像表征纳米粒子通过石英和白云石砾石的传输
DOI: 10.1007/s13762-015-0767-4
发表时间: 2015
期刊: International Journal of Environmental Science and Technology
影响因子: 3.1
作者: [Lakshmanan S]
通讯作者: Lakshmanan S
Nanoparticle transport in saturated porous medium using magnetic resonance imaging
使用磁共振成像在饱和多孔介质中纳米粒子的传输
DOI: 10.1016/j.cej.2014.12.076
发表时间: 2015
期刊: Chemical Engineering Journal
影响因子: 15.1
作者: [Lakshmanan S]
通讯作者: Lakshmanan S
The black box opened: Non-invasive observation of nanoparticle transport in rock pore systems
  • 批准号:
    EP/J017493/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $45.76万
  • 财政年份:
    2013
  • 负责人:
    Vernon Phoenix
  • 依托单位:
Magnetic resonance imaging of biofilm mass transport processes with gadolinium tracers
  • 批准号:
    EP/G028443/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $29.48万
  • 财政年份:
    2009
  • 负责人:
    Vernon Phoenix
  • 依托单位:
国内基金
海外基金
空间分数阶 Black-Scholes 方程的波动率反演 问题
  • 批准号:
    Q24A010012
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    蒋晓颖
  • 依托单位:
Black-Scholes期权定价模型的时间自适应算法与分析
  • 批准号:
    12271142
  • 项目类别:
    面上项目
  • 资助金额:
    45万元
  • 批准年份:
    2022
  • 负责人:
    任金城
  • 依托单位:
投资者非理性认知环境下的股票收益预测与投资组合研究
  • 批准号:
    72061002
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2020
  • 负责人:
    谢军
  • 依托单位:
Shining light on the black hole mass distribution
  • 批准号:
    12073029
  • 项目类别:
    面上项目
  • 资助金额:
    61.0万元
  • 批准年份:
    2020
  • 负责人:
    Roberto Soria
  • 依托单位: