Collaborative Research: Magnetic mapping of bio-inspired clusters of iron oxide nanoparticles
Collaborative Research: Magnetic mapping of bio-inspired clusters of iron oxide nanoparticles
批准号:
2038046
负责人:
Samuel Oberdick
金额:
$27.99万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-01 至 2025-03-31
中文摘要
人造氧化铁纳米颗粒对标记人体内外的细胞和分子具有广泛的重要性。除了人工合成的颗粒,许多生物还会产生自然产生的氧化铁纳米颗粒,也就是所谓的铁蛋白,以存储和调节体内的铁。无论是人造的还是天然的,这些氧化铁纳米颗粒都具有磁化作用,可以用作生物环境中的操纵或传感工具。然而,纳米粒子往往聚集在复杂的生物环境中,聚集对其集体磁性的影响还不是很清楚。这项工作的总体目标是探索纳米粒子聚集和所产生的磁性之间的关系。这项工作的发现可能被用来设计基于磁性的传感工具,以更准确地跟踪生物系统中的纳米铁颗粒。该项目的数据还可以促进氧化铁颗粒的其他生物医学应用,例如它们在癌症治疗的磁热治疗中的应用,或者作为医学成像的造影剂。除了推进生物磁学和纳米生物技术领域外,该研究项目还将通过向学生提供最先进的纳米颗粒合成和表征技术的研究经验,通过开发新的磁性表征技术来加强研究和教育基础设施,并通过扩大未被充分代表的群体对科学和工程活动的参与,来帮助培训下一代科学家和工程师。氧化铁纳米颗粒由于其磁性行为,已成为生物医学和生物纳米技术中的重要工具。这些包括人工合成的磁铁矿纳米颗粒(直径约5至10纳米),以及存在于人体内最大的储铁蛋白铁蛋白中的天然亚铁水合物核心(约5至8纳米)。确定这些氧化铁纳米颗粒在细胞和组织中的空间定位和量化对于许多健康应用至关重要。到目前为止,我们表征氧化铁纳米颗粒的空间分布和数量的能力仅限于组织化学染色等生化方法,这些方法主要是定性的。磁敏检测为氧化铁纳米颗粒的表征提供了一种非破坏性、无标记、定量的替代手段。然而,在生物系统中,纳米粒子经常以聚集体/团簇的形式存在,这会影响其局部和全局的磁性,并使磁信号的解释复杂化。该项目的目标是了解生物启发的氧化铁纳米颗粒的聚集如何影响其在许多长度尺度(纳米到微米尺度)上的磁性。具体地说,将使用一系列磁敏感技术来研究单个粒子之间以及更大的粒子团之间的相互作用。这项研究将使用生物衍生的粒子群以及人工工程的聚集体。其中包括人工合成的磁铁矿纳米颗粒和铁蛋白中天然存在的亚铁水合物核心。在某些情况下,团簇将使用模板引导组装进行纳米细化,从而可以系统地改变团簇的几何参数,如大小、形状和颗粒间距。颗粒组件的表征将使用分析电子显微镜、磁力显微镜、超导量子干涉设备磁测量和磁共振成像等技术进行。这项研究的结果将被用于开发先进的、基于磁性的计量学,用于定位和量化生物环境中的氧化铁纳米颗粒聚集体。了解聚集性对磁性的影响可以实现定量的组织磁性检测方案,以绘制组织切片中的铁沉积图。项目活动将通过为研究生和本科生提供多学科和跨机构的研究经验以及建立新的研究合作来完成。该项目还将包括扩大参与范围的努力,通过在当地一所学校为贫困中学生开发和提供关于工程概念的动手研讨会。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Man-made iron oxide nanoparticles have widespread importance for labeling cells and molecules both inside and outside the human body. Besides synthetic particles, many organisms also generate naturally occurring iron oxide nanoparticles, known as ferritin, to store and regulate iron within their bodies. Whether man-made or natural, these iron oxide nanoparticles have a magnetization that can be used as a tool for manipulation or sensing in biological environments. However, nanoparticles often aggregate in complex bio-environments, and the effect of aggregation on their collective magnetic properties is not well understood. The overall objective of this work is to explore the relationship between nanoparticle clustering and resultant magnetic properties. Findings from this work can be potentially used to engineer magnetism-based sensing tools for more accurately tracking iron nanoparticles in biological systems. Data from this project can also advance other biomedical applications of iron oxide particles, such as their uses in magnetic hyperthermia for cancer therapy or as contrast agents for medical imaging. Besides advancing the field of bio-magnetism and nano-biotechnology, this research project will help train the next generation of scientists and engineers by providing research experience to students in state-of-the-art techniques for synthesis and characterization of nanoparticles, by enhancing infrastructure for research and education through the development of new techniques for magnetic characterization and by broadening participation of underrepresented groups in science and engineering activities. Iron-oxide nanoparticles have become crucial tools in biomedicine and bio-nanotechnology due to their magnetic behavior. These include synthetic magnetite nanoparticles (~5 to 10 nm in diameter), and naturally occurring ferrihydrite core (~ 5 to 8 nm) present in ferritin, the largest iron-storage protein in the human body. Determining the spatial localization and quantification of these iron-oxide nanoparticles in cells and tissues is critical for a number of applications in health. Thus far our ability to characterize the spatial distribution and quantity of iron oxide nanoparticles is limited to biochemical approaches like histochemical staining, which are largely qualitative. Magnetically sensitive detection offers an alternative, non-destructive, label free and quantitative means for characterization of iron-oxide nanoparticles. However, in biological systems, nanoparticles are often found in aggregates/clusters, which can impact their local and global magnetic properties and complicate interpretation of magnetic signals. The goal of this project is to understand how clustering of bio-inspired iron-oxide nanoparticles affect their magnetic properties across many length scales (nanometer to micrometer scale). Specifically, interactions between individual particles, as well as between larger clusters of particles, will be studied using a range of magnetically sensitive techniques. Biologically derived clusters of particles as well as artificially engineered aggregates will be used for the study. These include synthetic magnetite nanoparticles and naturally occurring ferrihydrite cores present in ferritin. In some cases, clusters will be nanofabricated using template guided assembly, so that geometric parameters of clusters such as size, shape, and interparticle distance can be varied systematically. Characterization of particle assemblies will be performed using techniques such as analytical electron microscopy, magnetic force microscopy, super-conducting quantum interference device magnetometry and magnetic resonance imaging. Results from this study will be used to develop advanced, magnetism-based metrology for localizing and quantifying aggregates of iron oxide nanoparticles in biological environments. An understanding of the effect of clustering on magnetic properties can enable quantitative histo-magnetic detection schemes for mapping iron deposits in tissue sections. The project activities will be accomplished by providing multidisciplinary and inter-institutional research experiences for graduate and undergraduate students and by establishing new research collaborations. The project will also include outreach efforts to broaden participation, by developing and offering hands-on workshops on engineering concepts to under-privileged middle school students at a local school.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.
期刊论文(3)
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会议论文
DOI:
10.1021/acssensors.3c01373
发表时间:
2023-12-19
期刊:
ACS SENSORS
影响因子:
8.9
作者:
[Oberdick,Samuel D., Dodd,Stephen J., Zabow,Gary]
通讯作者:
Zabow,Gary
国内基金
海外基金
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