CAREER: Detection and quantification of metal-based engineered nanoparticles in surface waters
CAREER: Detection and quantification of metal-based engineered nanoparticles in surface waters
批准号:
1553909
负责人:
Mohammed Baalousha
金额:
$51.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-15 至 2022-07-31
中文摘要
提案:1553909PI: Baalousha, Mohammed工程纳米颗粒目前被认为是一种新兴的污染物,因为它们在消费品中的生产和使用的增加导致其释放到环境中。纳米技术对人类或环境的风险评估是由水生系统中工程纳米颗粒积累增加造成的,目前由于难以区分工程纳米颗粒与自然存在的纳米颗粒以及难以量化工程纳米颗粒的暴露浓度和性质而受到阻碍。该职业奖旨在开发识别工程纳米粒子和天然纳米粒子的方法,并测量自然环境中工程纳米粒子的浓度和特性。该职业奖将开发一种多方法分析平台,能够根据其物理化学性质(如尺寸、形态、化学成分、元素/同位素比率和/或这些性质的组合)的差异,从天然纳米颗粒中识别出工程纳米颗粒。假设工程纳米粒子与天然纳米粒子具有明显不同的物理化学性质,这将使复杂基质中的工程纳米粒子能够检测和定量。多方法方法包括耦合电感耦合等离子体质谱的场流分馏,单粒子icp - ms和耦合x射线能量色散光谱技术和方法的透射电子显微镜。特别是,该研究将评估这些方法识别工程纳米颗粒与天然纳米颗粒在物理化学性质上的细微差异的能力,以便:1)实现工程纳米颗粒的检测和定量,2)确定这些方法在地表水中用于工程纳米颗粒分析的适用性和局限性,3)对接收废物处理厂废水的地表水中的工程纳米颗粒进行分析,以及4)与美国地质调查局合作,应用多方法方法监测地表水中的工程纳米颗粒。拟议研究的结果将影响其他学科,如水生毒理学和环境纳米科学与工程。通过关注工程纳米颗粒在环境中转化后的形态,对地表水中工程纳米颗粒的浓度和性质进行量化将影响工程纳米颗粒的危害和风险表征。此外,测量地表水中工程纳米粒子的浓度和性质将使工程纳米粒子的命运模型得到验证。拟议研究的结果还将告知联邦机构(例如EPA、NIST和USGS)和工业界关于纳米颗粒监管和最佳安全实践的信息。为了整合研究、教育和服务,学院将:1)开发环境纳米科学的本科生和研究生讲座和课程,2)编辑可作为教科书材料的书籍,3)增强本科生,研究生和高中的实验室和实地经验,4)为高中教师制定专业培训计划,5)提高高中学生对纳米技术及其可能提供的机遇和挑战的认识,6)培训学生审查提案,7)让学生参与助学金的制定和撰写,7)组织FFF2018研讨会,以及高中生与国际研究人员的会议和讨论。
英文摘要
Proposal: 1553909PI: Baalousha, Mohammed Engineered nanoparticles are currently considered as an emerging contaminant because their increased production and use in consumer products leads to release into the environment. Risk assessment of nanotechnology to humans or the environment, resulting from increased accumulations of engineered nanoparticles in aquatic systems, is currently impeded by the difficulty in differentiating engineered nanoparticles from naturally occurring nanoparticles and quantifying engineered nanoparticle exposure concentrations and properties. This CAREER award aims to develop methods to discern engineered and natural nanoparticles and to measure the concentration and properties of engineered nanoparticles in the natural environment. This CAREER award will develop a multi-method analytical platform capable of discerning engineered nanoparticles from natural nanoparticles based on differences in their physicochemical properties such as size, morphology, chemical composition, elemental/isotopic ratios, and/or combinations of these properties. The hypothesis is that engineered nanoparticles possess significantly different physicochemical properties, relative to natural nanoparticles, which will enable detection and quantification engineered nanoparticles in complex matrices. The multi-method approach includes field flow fractionation coupled with inductively coupled plasma-mass spectroscopy, single particle-ICP-MS and transmission electron microscopy coupled with X-ray energy dispersive spectroscopy techniques and methodologies. In particular, the research will evaluate the capability of these methods to identify subtle differences in physicochemical properties of engineered versus natural nanoparticles to: 1) enable detection and quantification of engineered nanoparticles, 2) determine applicability and limitations of these methods for engineered nanoparticle analysis in surface waters, 3) perform analysis of engineered nanoparticles in surface waters receiving effluents from waste treatment plants, and 4) apply the multi-method approach for monitoring of engineered nanoparticles in surface waters in collaboration with the USGS.The outcomes of the proposed research will impact other disciplines such as aquatic toxicology and environmental nanoscience and engineering. Quantifying concentrations and properties of engineered nanoparticles in surface waters will affect engineered nanoparticle hazard and risk characterization by focusing on the form of engineered nanoparticles after their transformations in the environment. Also, measuring the concentrations and properties of engineered nanoparticles in surface waters will enable validation of engineered nanoparticles fate models. The outcome of the proposed research will also inform federal agencies (e.g. EPA, NIST, and USGS) and industry on nanoparticle regulation and best safety practices.To integrate research, education and service, the PI will: 1) develop undergraduate and graduate lectures and courses in environmental nanoscience, 2) edit books that can be used as text book material, 3) enhance undergraduate, graduate, and high school laboratory and field experiences, 4) develop a professional training program for high school teachers, 5) enhance high school students awareness of nanotechnology and the opportunities and challenges it may offer, 6) train students on reviewing proposals, 7) involve students in grants development and writing, and 7) organize the FFF2018 symposium, and a meeting and discussion of high school student with international researchers.
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Multi-method approach for analysis of road dust particles: elemental ratios, SP-ICP-TOF-MS, and TEM
道路灰尘颗粒分析的多方法:元素比、SP-ICP-TOF-MS 和 TEM
DOI:
10.1039/d2en00409g
发表时间:
2022
期刊:
Environmental Science: Nano
影响因子:
--
作者:
[Tou, Feiyun, Nabi, Md. Mahmudun, Wang, Jingjing, Erfani, Mahdi, Goharian, Erfan, Chen, Jing, Yang, Yi, Baalousha, Mohammed]
通讯作者:
Baalousha, Mohammed
Analysis of complex particle mixtures by asymmetrical flow field-flow fractionation coupled to inductively coupled plasma time-of-flight mass spectrometry
通过不对称流场流分级与电感耦合等离子体飞行时间质谱分析复杂颗粒混合物
DOI:
10.1016/j.chroma.2021.461981
发表时间:
2021
期刊:
Journal of Chromatography A
影响因子:
4.1
作者:
[Meili-Borovinskaya, Olga, Meier, Florian, Drexel, Roland, Baalousha, Mohammed, Flamigni, Luca, Hegetschweiler, Andreas, Kraus, Tobias]
通讯作者:
Kraus, Tobias
Detection and quantification of anthropogenic titanium-, cerium-, and lanthanum-bearing home dust particles
人为含钛、铈和镧的家庭灰尘颗粒的检测和定量
DOI:
10.1039/d2en00890d
发表时间:
2023
期刊:
Environmental Science: Nano
影响因子:
--
作者:
[Nabi, Md Mahmudun, Wang, Jingjing, Baalousha, Mohammed]
通讯作者:
Baalousha, Mohammed
DOI:
10.1039/c8en01376d
发表时间:
2019-03-01
期刊:
ENVIRONMENTAL SCIENCE-NANO
影响因子:
7.3
作者:
[Loosli, Frederic, Wang, Jingjing, Baalousha, Mohammed]
通讯作者:
Baalousha, Mohammed
Episodic surges in titanium dioxide engineered particle concentrations in surface waters following rainfall events
降雨事件后,地表水中二氧化钛工程颗粒浓度出现间歇性激增
DOI:
10.1016/j.chemosphere.2020.128261
发表时间:
2021
期刊:
Chemosphere
影响因子:
8.8
作者:
[Nabi, Md Mahmudun, Wang, Jingjing, Baalousha, Mohammed]
通讯作者:
Baalousha, Mohammed
共 18 条
RAPID: Concentration and Form of Metal and Metal-Baring Nanomaterial Contamination in Maui Fire Ash and Soil
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批准号:2345468
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2023
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负责人:Mohammed Baalousha
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依托单位:
Rapid Collaborative Proposal: Characterization, Quantification, and Transport of Incidental Nanomaterials from Wildland-Urban Fires in Surface Waters
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批准号:2101983
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项目类别:Standard Grant
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资助金额:$18.0万
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财政年份:2020
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负责人:Mohammed Baalousha
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依托单位:
MRI: Acquisition of Time of Flight-Inductively Coupled Plasma-Mass Spectrometer to support multi-disciplinary research and training in South Carolina and Nationw
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批准号:1828055
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项目类别:Standard Grant
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资助金额:$63.59万
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财政年份:2018
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负责人:Mohammed Baalousha
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依托单位:
19th International Symposium on Field- and Flow-Based Separations: FFF2018
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批准号:1655926
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项目类别:Standard Grant
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资助金额:$0.4万
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财政年份:2017
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负责人:Mohammed Baalousha
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依托单位:
RII Track-4: Molecular understanding of salt-induced selective aggregation and selective sorption of dissolved organic matter to natural particles
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批准号:1738340
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项目类别:Standard Grant
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资助金额:$28.64万
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财政年份:2017
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负责人:Mohammed Baalousha
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依托单位:
Evaluation of the Role of Size Dispersity on Nanoparticle Uptake and Ecotoxicity
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批准号:1437307
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项目类别:Standard Grant
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资助金额:$29.99万
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财政年份:2014
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负责人:Mohammed Baalousha
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依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
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批准号:
-
项目类别:省市级项目
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资助金额:--
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批准年份:2025
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负责人:MATHIEULOUROCHLAURIERE
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依托单位: