RAPID: Affect of Petroleum Deposit Geometry on Biodegradation Potential and Long-Term Persistence

RAPID:石油沉积几何形状对生物降解潜力和长期持久性的影响

基本信息

项目摘要

PI: Amy PrudenProposal Number: 1053221Institution: Virginia Polytechnic Institute and State UniversityTitle: RAPID: Effect of Petroleum Deposit Geometry on Biodegradation Potential and Long-Term PersistenceThe current Gulf of Mexico oil spill has contaminated an unprecedented expanse of shoreline with crude oil. Thus, the extent of petroleum deposits accumulating along the coast represents a scale never before encountered by humankind. This underscores a critical urgency to develop and apply the best available tools to predict the long term persistence of potential contaminants of concern (PCOCs) derived from these deposits and to inform potential remediation strategies. The proposed RAPID response research project will apply a novel integrated molecular biological and modeling approach to critically examine the role of petroleum deposit geometry in governing the attenuation of PCOCs. Funding is particularly urgent considering the need to characterize petroleum deposits in the field prior to their disruption by hurricanes and also to obtain shoreline samples that have not yet been tainted with oil in order to examine the time scale and importance of microbial adaptation in governing biodegradation potential.While the importance of geometry on the fate and transport of other light non aqueous phase liquid (LNAPLs) has been established, deposit geometry remains an unexplored yet potentially critical factor governing the ultimate fate of the crude oil spilled into the Gulf. A particularly novel aspect of the proposed research effort is the integrated molecular microbiological and modeling approach that will be used to enhance predictions of persistence of crude oil deposits. Thus the three objectives of this research are to: 1) Determine the role of geometry in the attenuation of crude oil deposits via dissolution and biodegradation; 2) Determine the effect of petroleum deposit geometry on predominant electron acceptor conditions, overall biodegradation rates, and time scale for microbial adaptation; and 3) Develop an improved model of petroleum hydrocarbon attenuation considerate of petroleum deposit geometry and microbiological factors. These objectives will be accomplished through a combined field, laboratory, and computational modeling effort, including 3 D tank experiments testing various petroleum deposit geometries. Genome enabled tools targeting genes corresponding to key functions of interest, including aerobic polycyclic aromatic hydrocarbon (PAH) biodegradation and denitrifying, sulfate reducing and methanogenic conditions will be applied to characterize the upper, lower, and lateral surfaces of the petroleum deposits and to support the development of a conceptual model of the microbial contribution to petroleum dissolution and biodegradation. The ultimate outcome will be a computational tool to simulate PHC dissolution rates coupled to microbial activity and aqueous phase transport in marine and beach sediments. This model will be particularly useful in estimating time of remediation of PCOCs derived from crude oil deposits.The urgent nature of the current Gulf of Mexico oil spill crisis is readily apparent. Current estimates are that over 500 miles of shoreline have already been contaminated with an extensive array of tar balls and oil sheets. These oil deposits will be capped intentionally and unintentionally, resulting in persistence for years or perhaps even decades. The proposed work will fill a critical knowledge gap required to predict the long term persistence and ultimate fate of the oil deposits and associated PCOCs and thus will provide critical information to decision makers regarding remedial strategies. Additionally, the project will provide an inspiring training topic for a PhD and an undergraduate student, both of whom will play an integral role in the field sampling effort. The PI is also actively conducting hands on oil spill cleanup activities for underrepresented junior high students via the Virginia Tech College of Engineering Imagination Camp. Both PIs will also be featuring the oil spill case study as a valuable and inspiring learning tool in their respective sections of CEE 2804 Introduction to Civil and Environmental Engineering. The project team aims for rapid dissemination of the results to the scientific community, including peer reviewed publications and presentations at scientific conferences.
PI: Amy pruden提案编号:1053222机构:弗吉尼亚理工学院和州立大学标题:快速:石油沉积几何形状对生物降解潜力和长期持久性的影响目前墨西哥湾的石油泄漏已经污染了前所未有的海岸线与原油。因此,沿海岸积累的石油储量达到了人类从未遇到过的规模。这强调了迫切需要开发和应用现有的最佳工具,以预测来自这些沉积物的潜在关注污染物(PCOCs)的长期持久性,并为潜在的补救策略提供信息。拟议的RAPID响应研究项目将采用一种新的综合分子生物学和建模方法,严格检查石油矿床几何形状在控制PCOCs衰减中的作用。考虑到需要在油田的石油沉积物被飓风破坏之前对其进行特征描述,并获得尚未被石油污染的海岸线样本,以便检查微生物适应在控制生物降解潜力方面的时间尺度和重要性,资金尤其紧迫。虽然已经确定了几何形状对其他轻质非水相液体(LNAPLs)命运和运移的重要性,但储层几何形状仍然是一个未被探索的因素,但它可能是决定墨西哥湾原油最终命运的关键因素。提出的研究工作的一个特别新颖的方面是综合分子微生物学和建模方法,将用于加强对原油矿床持久性的预测。因此,本研究的三个目标是:1)确定几何形状在原油沉积物通过溶解和生物降解而衰减中的作用;2)确定石油沉积几何形状对主要电子受体条件、总体生物降解率和微生物适应时间尺度的影响;3)建立了考虑油气藏几何形状和微生物因素的油气衰减改进模型。这些目标将通过现场、实验室和计算建模的结合来实现,包括测试各种石油沉积几何形状的3d储罐实验。基因组工具将针对与关键功能相关的基因,包括好氧多环芳烃(PAH)生物降解和反硝化、硫酸盐还原和产甲烷条件,用于表征石油沉积物的上、下和侧表面,并支持微生物对石油溶解和生物降解贡献的概念模型的发展。最终的结果将是一个计算工具来模拟PHC溶解速率耦合微生物活动和水相运输在海洋和海滩沉积物。该模型在估计从原油沉积物中提取的PCOCs的修复时间方面特别有用。当前墨西哥湾石油泄漏危机的紧迫性是显而易见的。目前的估计是超过500英里的海岸线已经被大量的焦油球和油片污染。这些石油储量将有意无意地被封顶,导致持续数年甚至数十年。拟议的工作将填补预测石油矿床和相关的PCOCs的长期持久性和最终命运所需的关键知识空白,从而将为决策者提供有关补救战略的关键信息。此外,该项目将为一名博士和一名本科生提供一个鼓舞人心的培训主题,他们将在实地抽样工作中发挥不可或缺的作用。PI还通过弗吉尼亚理工学院工程想象营积极为代表性不足的初中生开展溢油清理活动。在CEE 2804土木与环境工程导论中,这两个pi也将把石油泄漏案例研究作为一个有价值和鼓舞人心的学习工具。项目小组的目标是迅速将结果传播给科学界,包括同行评议的出版物和在科学会议上的报告。

项目成果

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Amy Pruden其他文献

Making waves: The benefits and challenges of responsibly implementing wastewater-based surveillance for rural communities
  • DOI:
    10.1016/j.watres.2023.121095
  • 发表时间:
    2024-02-15
  • 期刊:
  • 影响因子:
  • 作者:
    Alasdair Cohen;Peter Vikesland;Amy Pruden;Leigh-Anne Krometis;Lisa M. Lee;Amanda Darling;Michelle Yancey;Meagan Helmick;Rekha Singh;Raul Gonzalez;Michael Meit;Marcia Degen;Mami Taniuchi
  • 通讯作者:
    Mami Taniuchi
Evidence of horizontal gene transfer and environmental selection impacting antibiotic resistance evolution in soil-dwelling Listeria
水平基因转移和环境选择影响土壤居住李斯特菌抗生素抗性进化的证据
  • DOI:
    10.1038/s41467-024-54459-9
  • 发表时间:
    2024-11-19
  • 期刊:
  • 影响因子:
    15.700
  • 作者:
    Ying-Xian Goh;Sai Manohar Balu Anupoju;Anthony Nguyen;Hailong Zhang;Monica Ponder;Leigh-Anne Krometis;Amy Pruden;Jingqiu Liao
  • 通讯作者:
    Jingqiu Liao
Subsewershed analyses of the impacts of inflow and infiltration on viral pathogens and antibiotic resistance markers across a rural sewer system
农村污水系统中入流和渗透对病毒病原体和抗生素抗性标记物影响的子流域分析
  • DOI:
    10.1016/j.watres.2025.123230
  • 发表时间:
    2025-05-15
  • 期刊:
  • 影响因子:
    12.400
  • 作者:
    Amanda Darling;Benjamin Davis;Thomas Byrne;Madeline Deck;Gabriel Maldonado Rivera;Sarah Price;Amber Amaral-Torres;Clayton Markham;Raul Gonzalez;Peter Vikesland;Leigh-Anne Krometis;Amy Pruden;Alasdair Cohen
  • 通讯作者:
    Alasdair Cohen
Determinants of antimicrobial resistance in biosolids: A systematic review, database, and meta-analysis
生物固体中抗微生物药物耐药性的决定因素:系统评价、数据库和荟萃分析
  • DOI:
    10.1016/j.scitotenv.2024.177455
  • 发表时间:
    2024-12-20
  • 期刊:
  • 影响因子:
    8.000
  • 作者:
    Joanna Ciol Harrison;Grace V. Morgan;Aditya Kuppravalli;Nicole Novak;Michael Farrell;Sienna Bircher;Emily Garner;Nicholas J. Ashbolt;Amy Pruden;Rebecca L. Muenich;Treavor H. Boyer;Clinton Williams;Warish Ahmed;Rasha Maal-Bared;Kerry A. Hamilton
  • 通讯作者:
    Kerry A. Hamilton
A Fast Word Embedding Based Classifier to Profile Target Gene Databases in Metagenomic Samples
一种基于快速词嵌入的分类器,用于分析宏基因组样本中的目标基因数据库

Amy Pruden的其他文献

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{{ truncateString('Amy Pruden', 18)}}的其他基金

NRT-HDR: Convergence at the Interfaces of Policy, Data Science, Environmental Science and Engineering to Combat the Spread of Antibiotic Resistance
NRT-HDR:政策、数据科学、环境科学和工程的融合,对抗抗生素耐药性的蔓延
  • 批准号:
    2125798
  • 财政年份:
    2021
  • 资助金额:
    $ 6万
  • 项目类别:
    Standard Grant
Collaborative Research: Relative Abundance and Diversity of Antibiotic Resistance Genes and Pathogens in Reclaimed Versus Potable Water Distribution Systems
合作研究:再生水与饮用水分配系统中抗生素抗性基因和病原体的相对丰度和多样性
  • 批准号:
    1438328
  • 财政年份:
    2014
  • 资助金额:
    $ 6万
  • 项目类别:
    Standard Grant
Towards a Sustainable Residential Hot Water Infrastructure: Optimizing Public Health, Water Savings, and Energy Goals
实现可持续住宅热水基础设施:优化公共卫生、节水和能源目标
  • 批准号:
    1336650
  • 财政年份:
    2013
  • 资助金额:
    $ 6万
  • 项目类别:
    Continuing Grant
RAPID: COLLABORATIVE RESEARCH: Fate and Transport of Antibiotics and Antibiotic Resistance Genes During Historic Colorado Flood
快速:合作研究:历史性科罗拉多洪水期间抗生素和抗生素抗性基因的命运和运输
  • 批准号:
    1402651
  • 财政年份:
    2013
  • 资助金额:
    $ 6万
  • 项目类别:
    Standard Grant
Environmental Implications of Nanocellulose: Biodegradation and Toxicity Potential
纳米纤维素的环境影响:生物降解和潜在毒性
  • 批准号:
    1236005
  • 财政年份:
    2012
  • 资助金额:
    $ 6万
  • 项目类别:
    Standard Grant
Harnessing Microbial Ecology for the Inhibition of Opportunistic Pathogens in Premise Plumbing
利用微生物生态学抑制室内管道中的机会病原体
  • 批准号:
    1033498
  • 财政年份:
    2010
  • 资助金额:
    $ 6万
  • 项目类别:
    Standard Grant
PECASE: Antibiotic Resistance Genes (ARG) as Emerging Pollutants in Our Water: Pathways, Mitigation, and Treatment
PECASE:抗生素抗性基因 (ARG) 作为我们水中的新兴污染物:途径、缓解和治疗
  • 批准号:
    0852942
  • 财政年份:
    2008
  • 资助金额:
    $ 6万
  • 项目类别:
    Continuing Grant
Advancing Genome-Enabled Tools: Guiding Inoculum Design for Sulfate-Reducing Mine Drainage Treatment Systems
先进的基因组工具:指导硫酸盐还原矿山排水处理系统的接种物设计
  • 批准号:
    0900147
  • 财政年份:
    2008
  • 资助金额:
    $ 6万
  • 项目类别:
    Standard Grant
Advancing Genome-Enabled Tools: Guiding Inoculum Design for Sulfate-Reducing Mine Drainage Treatment Systems
先进的基因组工具:指导硫酸盐还原矿山排水处理系统的接种物设计
  • 批准号:
    0651947
  • 财政年份:
    2007
  • 资助金额:
    $ 6万
  • 项目类别:
    Standard Grant
PECASE: Antibiotic Resistance Genes (ARG) as Emerging Pollutants in Our Water: Pathways, Mitigation, and Treatment
PECASE:抗生素抗性基因 (ARG) 作为我们水中的新兴污染物:途径、缓解和治疗
  • 批准号:
    0547342
  • 财政年份:
    2006
  • 资助金额:
    $ 6万
  • 项目类别:
    Continuing Grant

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ERI: Developing a Trust-supporting Design Framework with Affect for Human-AI Collaboration
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    2023
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    $ 6万
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    Grant-in-Aid for Early-Career Scientists
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