Collaborative Research: DNA Directed Deterministic Positioning of Nanophotonic Elements
合作研究:DNA 指导的纳米光子元件的确定性定位
基本信息
- 批准号:0827681
- 负责人:
- 金额:$ 20.07万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-08-01 至 2012-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
CBET-0827681LiuSystematical study of photonic elements interactions with deterministic positioning at nanometer scale is very important for: 1) fundamental understanding of the underlying distance dependent interactions and energy transfer between various photonic elements; 2) providing useful models to understand photonic antenna systems existing in nature; 3) providing crucial information for constructing artificial biophotonic systems for applications ranging from light harvesting to biosensing. Structural DNA nanotechnology has developed to the stage that self-assembled fully addressable DNA nanoarrays can be constructed with rational control. It is now possible to position metallic particles and various biomolecules (proteins or peptides or RNA/DNA sequences) or functional molecules (ligands or fluorophores) on DNA nanoscaffolds in a programmable fashion. Our goal here is to utilize the exquisite power of the deterministic addressability developed in the structural DNA nanotechnology in connection with theoretical simulations to have a better understanding of the interactions between nanophotonic elements linked on the self-assembled DNA nanostructures by systematically varying the position, distance and geometry of these elements. Specifically, we aim to use DNA directed self-assembly to: (1) study distance dependent effects between metallic nanoparticles and organic fluorophores; (2) construct a molecular antenna system for efficient light harvesting; (3) construct and understand geometry dependent energy transfers between fluorophores. A strong collaborative team has been established that aligns theoretical modeling and experimental expertise together to address these questions.Intellectual merit: This proposal is both technology and problem driven. The use of selfassembling DNA nanostructures provides unprecedented opportunities to have a true control over spatial arrangements of particles and molecules in two and three dimensions. The complexity achieved at molecular level mimics what exist in nature and far exceeds the current capabilities of top-down lithographic approach. This approach will open up the possibility of incorporating a remarkable degree of complexity and functionality into an artificial supra-molecular system that is entirely self-assembled. As a result, systematic experiments can be designed to test theoretical hypothesis and modeling. New models will be developed by taking into account of many experimental parameters resulting from the deterministic positioning of photonic elements.Broader Impact: Our proposed research will answer many fundamental questions of how photonic elements interact with each other in a controlled fashion with a high degree of complexity. It will offer useful information for energy related applications, such as energy transfer between nanoparticles and dye molecules, which will help and guide the development of nanotechnology in the applications of light energy harvesting. It also provides a novel platform to develope biosensing elements for sensitive detection. With these broader societal implications, this research naturally leads to opportunities for undergraduate and graduate students training and outreach programs currently existing at both ASU and UCF. For example, Dr. Liu plans to offer summer internships to high school teachers to help them to develop new biotechnology curricula and summer research opportunities for high school students to expose them to the cutting edge research happening in a University lab to attract excellent high school students into science research. These efforts are in align with the RET and SIP program of Biodesign Institute at ASU. Dr. Zou is currently accommodating three undergraduate students in his research group. Dr. Zou's group also offers internship positions for high school students so that they may be well prepared for their higher degree educations.
CBET-0827681 Liu在纳米尺度上系统地研究具有确定性定位的光子元素的相互作用对于:1)基本了解各种光子元素之间的距离相关的相互作用和能量传递;2)为理解自然界中存在的光子天线系统提供有用的模型;3)为构建从光采集到生物传感的人工生物光子系统提供关键信息。结构DNA纳米技术已经发展到可以在合理控制下构建自组装完全可寻址的DNA纳米阵列的阶段。现在有可能以可编程的方式在DNA纳米支架上定位金属颗粒和各种生物分子(蛋白质或多肽或RNA/DNA序列)或功能分子(配体或荧光团)。我们的目标是利用结构DNA纳米技术中发展起来的确定性寻址能力,结合理论模拟,通过系统地改变纳米光子元件的位置、距离和几何形状,更好地理解连接在自组装DNA纳米结构上的纳米光子元件之间的相互作用。具体地说,我们的目标是利用DNA定向自组装来:(1)研究金属纳米颗粒和有机荧光团之间的距离依赖效应;(2)构建一个高效捕光的分子天线系统;(3)构建和理解依赖于几何结构的荧光团之间的能量转移。已经建立了一个强大的协作团队,将理论建模和实验专业知识结合在一起来解决这些问题。智力优势:这项建议既是技术驱动的,也是问题驱动的。自组装DNA纳米结构的使用提供了前所未有的机会,可以真正控制粒子和分子在二维和三维的空间排列。在分子水平上实现的复杂性模拟了自然界中存在的东西,远远超过了目前自上而下光刻方法的能力。这种方法将开启将显著程度的复杂性和功能性整合到完全自组装的人造超分子系统中的可能性。因此,可以设计系统的实验来检验理论假设和模型。新的模型将通过考虑由光子元素的确定性定位产生的许多实验参数来开发。更广泛的影响:我们提出的研究将回答许多基本的问题,即光子元素如何以高度复杂的受控方式相互作用。这将为纳米粒子和染料分子之间的能量转移等与能量相关的应用提供有用的信息,这将有助于和指导纳米技术在光能收集应用中的发展。它还为开发用于敏感检测的生物传感元件提供了一个新的平台。有了这些更广泛的社会影响,这项研究自然会为亚利桑那州立大学和加州大学伯克利分校现有的本科生和研究生培训和推广计划带来机会。例如,刘博士计划为高中教师提供暑期实习机会,帮助他们开发新的生物技术课程,并为高中生提供暑期研究机会,让他们接触到大学实验室正在进行的尖端研究,以吸引优秀的高中生投身科学研究。这些努力与亚利桑那州立大学生物设计研究所的RET和SIP计划是一致的。邹博士目前在他的研究小组中容纳了三名本科生。邹丽红的团队还为高中生提供实习岗位,这样他们就可以为接受更高学位的教育做好准备。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yan Liu其他文献
Dry reforming of shale gas and carbon dioxide with Ni-Ce-Al2O3 catalyst: syngas production enhanced over Ni-CeOx formation
使用 Ni-Ce-Al2O3 催化剂干重整页岩气和二氧化碳:合成气产量比 Ni-CeOx 形成增强
- DOI:
10.1002/cctc.201800829 - 发表时间:
2018 - 期刊:
- 影响因子:4.5
- 作者:
Yan Liu;Ye Wu;Zarina Akhtamberdinova;Xiaoping Chen;Guodong Jiang;Dong Liu - 通讯作者:
Dong Liu
One new Gomphonema (Bacillariophyta) species from Yunnan Province, China
中国云南省硅藻门一新种
- DOI:
10.11646/phytotaxa.349.3.6 - 发表时间:
2018-05 - 期刊:
- 影响因子:1.1
- 作者:
Ziyi Jiang;Yan Liu;Kociolek JP;Yawen Fan - 通讯作者:
Yawen Fan
Soft-assigned bag of features for object tracking
用于对象跟踪的软分配功能包
- DOI:
10.1007/s00530-014-0384-y - 发表时间:
2015-03 - 期刊:
- 影响因子:3.9
- 作者:
Zhongyan Qiu;Yan Liu;Tong Yu;Jia Bei - 通讯作者:
Jia Bei
A new conjugate gradient method with smoothing L1/2 regularization based on a modified secant equation for training neural network.
一种新的基于修正割线方程的平滑 L1/2 正则化共轭梯度方法,用于训练神经网络。
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Wenyu Li;Yan Liu;Jie Yang;Wei Wu - 通讯作者:
Wei Wu
Pollution Status and Risk Assessment of Sedimentary Heavy Metals in the Special Mine Basin of China
我国特殊矿盆地沉积重金属污染现状及风险评估
- DOI:
10.1089/ees.2019.0346 - 发表时间:
2020 - 期刊:
- 影响因子:1.8
- 作者:
Ming Chen;Yanli Shi;Youcun Liu;Lanwen Hu;Fengguo Li;Meixia Tao;Meng Zhang;Yan Liu;Xiaojun Zheng - 通讯作者:
Xiaojun Zheng
Yan Liu的其他文献
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{{ truncateString('Yan Liu', 18)}}的其他基金
III:Small: A novel machine learning framework for combating misinformation in real life
III:Small:一种新颖的机器学习框架,用于打击现实生活中的错误信息
- 批准号:
2226087 - 财政年份:2022
- 资助金额:
$ 20.07万 - 项目类别:
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CyberSEES:类型 1:用于城市热岛因果分析的新型机器学习框架:观测与物理模型的融合
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1539608 - 财政年份:2015
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职业:从生物学和气候科学的时间序列数据中发现知识的新框架
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1254206 - 财政年份:2013
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$ 20.07万 - 项目类别:
Continuing Grant
Funding Support for US Students Attending KDD 2011
为参加 KDD 2011 的美国学生提供资助
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1134990 - 财政年份:2011
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$ 20.07万 - 项目类别:
Standard Grant
III: Small: Uncovering the Myths of Unlikelihood: Granger Graphical Models for Anomaly Detection in Multivariate Time-Series Data
III:小:揭开不可能的神话:多元时间序列数据中异常检测的格兰杰图形模型
- 批准号:
1117740 - 财政年份:2011
- 资助金额:
$ 20.07万 - 项目类别:
Standard Grant
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