EFRI ELiS: Engineering Fungal Platforms for Sustainable Biomining and Recovery of Valuable Metals from Electronic Wastes
EFRI ELiS:用于可持续生物采矿和从电子废物中回收有价金属的工程真菌平台
基本信息
- 批准号:2318122
- 负责人:
- 金额:$ 200万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Critical metals such as nickel (Ni), cobalt (Co), and others are necessary components in batteries and other electronic devices. Demand for these metals is expected to grow rapidly in the coming decades. Obtaining reliable domestic sources for these critical metals is needed to support the green economy and continued national economic development and security. Traditional mining approaches are energy intensive and generate chemical waste that can harm local and global environments. Innovative and sustainable methods are urgently needed to obtain valuable metals from mines and other untapped sources. Used lithium-ion batteries (LIBs) represent a potentially rich and growing source of critical metals. The goal of this project is to implement a novel approach to capture and recover scarce metals from waste LIBs using biofluids from fungi combined with advanced electrochemical techniques. To advance this goal, the Principal Investigators (PIs) propose to identify efficient metal biomining compounds using a chemistry model, use metabolic engineering to enhance compounds used for biomining, and optimize the biomining conditions to develop a scalable process. Techno-economic and life cycle assessments (TEA/LCA) will be used to determine which process is economically viable and environmentally beneficial. The ethical, legal, and social implications of the work will be addressed through the support of community education and engagement as well as an examination of ethical and legal issues involving biomining with fungi. The successful completion of this project will benefit society through the generation of fundamental knowledge to advance the use of bioacids to recycle valuable metals from LIBs for reuse. Additional benefits to society will be achieved through student education and training including the mentoring of four graduate students at Johns Hopkins University and one graduate student at the University of Maryland, Baltimore County (UMBC).A sustainable, bio-based mining technology for metal extraction and recovery is needed to address the growing need for these metals in electronic devices. The goal of this project is to enhance the extraction of valuable metals, nickel (Ni) and cobalt (Co) from used lithium-ion batteries (LIBs), using robust fungal hosts (Aspergillus spp.). Fungi from the genus Aspergillus secrete bioacids and other metallophores that can help solubilize metals from solid wastes. Using models of chemical interactions between fungal metabolites and different metal ions, bioacids and metallophores will be identified that are effective for solubilizing Co and Ni. Optimization of fungal metabolic pathways, upstream bioleaching, and downstream purification (driven by electrochemical stimuli) will be implemented to maximize metal recovery. In addition, different carbon sources will be investigated, including lignocellulosics or cyanobacterial partners, to reduce the cost of bioacid production and enhance process sustainability. These steps will then be combined into an integrated biomining manufacturing platform. The biomining approach will be evaluated through techno-economic and life cycle assessments (TEA/LCA) and the underlying social, ethical, and legal implications considered to ensure the proposed biomining platform is environmentally sound, economically viable, and fully integrated with the local community. The successful completion of this research with advance the fundamental understanding of the biological and engineering framework needed to develop biomining systems for the recovery of valuable metals from electronic wastes. To implement the education and training goals of the project, the Principal Investigators (PIs) propose to engage with a local high school, the Baltimore City Community College, and an after-school program, Adelante Latina, for Latina high school students to provide a summer research program through an existing Research Experience and Mentoring (REM) at Johns Hopkins University and UMBC. In addition, the team plans to partner with a local elementary/middle school and the Johns Hopkins University Office of Sustainability to collect rechargeable LIBs to be used in the research.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.
镍 (Ni)、钴 (Co) 等关键金属是电池和其他电子设备的必要成分。预计未来几十年对这些金属的需求将迅速增长。需要获得这些关键金属的可靠国内来源,以支持绿色经济和持续的国民经济发展和安全。传统的采矿方法是能源密集型的,并产生可能危害当地和全球环境的化学废物。迫切需要创新和可持续的方法从矿山和其他未开发来源获取有价值的金属。废旧锂离子电池 (LIB) 是一种潜在丰富且不断增长的关键金属来源。该项目的目标是实施一种新方法,利用真菌生物液与先进的电化学技术相结合,从废弃锂离子电池中捕获和回收稀有金属。为了推进这一目标,主要研究人员(PI)建议使用化学模型来识别有效的金属生物采矿化合物,利用代谢工程来增强用于生物采矿的化合物,并优化生物采矿条件以开发可扩展的工艺。技术经济和生命周期评估(TEA/LCA)将用于确定哪种工艺在经济上可行且对环境有利。这项工作的伦理、法律和社会影响将通过社区教育和参与的支持以及涉及真菌生物采矿的伦理和法律问题的审查来解决。该项目的成功完成将通过产生基础知识来促进利用生物酸从锂离子电池中回收有价值的金属进行再利用,从而造福社会。通过学生教育和培训,包括指导约翰·霍普金斯大学的四名研究生和马里兰大学巴尔的摩县分校 (UMBC) 的一名研究生,将给社会带来额外的好处。用于金属提取的可持续生物基采矿技术需要进行回收来满足电子设备中对这些金属不断增长的需求。该项目的目标是利用强大的真菌宿主(曲霉属)提高从废旧锂离子电池 (LIB) 中提取有价值金属、镍 (Ni) 和钴 (Co) 的能力。曲霉属真菌分泌生物酸和其他金属载体,有助于溶解固体废物中的金属。利用真菌代谢物和不同金属离子之间的化学相互作用模型,将鉴定出可有效溶解钴和镍的生物酸和金属载体。将优化真菌代谢途径、上游生物浸出和下游纯化(由电化学刺激驱动),以最大限度地提高金属回收率。此外,还将研究不同的碳源,包括木质纤维素或蓝细菌伙伴,以降低生物酸生产的成本并提高工艺的可持续性。然后,这些步骤将被组合成一个集成的生物采矿制造平台。生物采矿方法将通过技术经济和生命周期评估(TEA/LCA)进行评估,并考虑潜在的社会、道德和法律影响,以确保拟议的生物采矿平台对环境无害、经济可行并与当地社区充分融合。这项研究的成功完成,增进了对开发从电子废物中回收有价值金属的生物采矿系统所需的生物和工程框架的基本了解。为了实现该项目的教育和培训目标,首席研究员 (PI) 建议与当地一所高中、巴尔的摩城市社区学院和课外项目 Adelante Latina 合作,为拉丁裔高中生提供通过约翰·霍普金斯大学和 UMBC 现有的研究经验和指导 (REM) 进行暑期研究计划。此外,该团队计划与当地一所小学/中学和约翰霍普金斯大学可持续发展办公室合作,收集可充电锂离子电池用于研究。该奖项反映了 NSF 的法定使命,并通过使用评估结果被认为值得支持。基金会的智力价值和更广泛的影响审查标准。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Michael Betenbaugh其他文献
Three doses of COVID-19 mRNA vaccine induce class-switched antibody responses in inflammatory arthritis patients on immunomodulatory therapies
三剂 COVID-19 mRNA 疫苗在接受免疫调节治疗的炎症性关节炎患者中诱导类别转换抗体反应
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:7.3
- 作者:
J. M. Lee;Alexis Figueroa;J. Sachithanandham;Maggie Li;C. Connolly;J. Shapiro;Yiqun Chen;Michelle Jones;Venkata Gayatri Dhara;Marilyn Towns;John S Lee;Stephanie R. Peralta;A. Milstone;Michael Betenbaugh;A. Debes;J. Blankson;I. Sitaras;Steve Yoon;Elizabeth A Thompson;Clifton O. Bingham;S. Klein;A. Pekosz;J. Bailey - 通讯作者:
J. Bailey
Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors
中国仓鼠卵巢细胞生物反应器的数据驱动和物理知情建模
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:4.3
- 作者:
Tianqi Cui;Tom S. Bertalan;Nelson Ndahiro;Pratik Khare;Michael Betenbaugh;C. Maranas;I. Kevrekidis - 通讯作者:
I. Kevrekidis
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information
一些变量,一些参数,一些时间,一些已知的物理学:用部分信息进行识别
- DOI:
10.48550/arxiv.2304.14214 - 发表时间:
2023-04-27 - 期刊:
- 影响因子:0
- 作者:
S. Malani;Tom S. Bertalan;Tianqi Cui;J. Avalos;Michael Betenbaugh;I. Kevrekidis - 通讯作者:
I. Kevrekidis
Genomic Features of Transposase and Randomly Derived Recombinant CHO Clones
转座酶和随机衍生的重组 CHO 克隆的基因组特征
- DOI:
10.1007/978-1-4939-9877-7_12 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
S. Huhn;Meiping Chang;B. Jiang;Xiaoyan Tang;Michael Betenbaugh;Z. Du - 通讯作者:
Z. Du
Application of machine learning models to identify serological predictors of COVID-19 severity and outcomes
应用机器学习模型来识别 COVID-19 严重程度和结果的血清学预测因素
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
S. Klein;Santosh Dhakal;A. Yin;Marta Escarra;Zoe Demko;N. Pisanic;Trevor Johnston;M. Trejo;K. Kruczynski;John S. Lee;Justin Hardick;Patrick Shea;J. Shapiro;Han;Maclaine Parish;Christopher A. Caputo;A. Ganesan;Sarika Mullapudi;Stephen Gould;Michael Betenbaugh;A. Pekosz;Christopher D Heaney;A. Antar;Yukari C Manabe;Andrea L. Cox;A. Karaba;Felipe Andrade;S. Zeger - 通讯作者:
S. Zeger
Michael Betenbaugh的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Michael Betenbaugh', 18)}}的其他基金
IUCRC Phase II+: Johns Hopkins University: Advanced Mammalian Biomanufacturing Innovation Center (AMBIC)
IUCCRC 第二阶段:约翰霍普金斯大学:先进哺乳动物生物制造创新中心 (AMBIC)
- 批准号:
2100800 - 财政年份:2021
- 资助金额:
$ 200万 - 项目类别:
Continuing Grant
AccelNet-Implementation: International Biomanufacturing Network (IBioNe)
AccelNet-实施:国际生物制造网络 (IBioNe)
- 批准号:
2114716 - 财政年份:2021
- 资助金额:
$ 200万 - 项目类别:
Continuing Grant
Collaborative Research: GOALI: Dynamic regulation of CHO metabolism to optimize biomanufacturing yields and quality
合作研究:GOALI:动态调节 CHO 代谢以优化生物制造产量和质量
- 批准号:
2035079 - 财政年份:2021
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Workshop on Rules of Life: Complexity in Algal Systems; Washington, D.C.; April 2020
生命规则研讨会:藻类系统的复杂性;
- 批准号:
2013902 - 财政年份:2020
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Collaborative Research: Synthetic Lichen Co-Cultures for Sustainable Generation of Biotechnology Products
合作研究:用于可持续生成生物技术产品的合成地衣共培养物
- 批准号:
1804733 - 财政年份:2018
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Collaborative Research: GOALI: Metabolic Engineering of Next Generation CHO Hosts for Monoclonal Antibody Production
合作研究:GOALI:用于单克隆抗体生产的下一代 CHO 宿主的代谢工程
- 批准号:
1604527 - 财政年份:2016
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Phase I I/UCRC Johns Hopkins University Site: Advanced Mammalian Biomanufacturing Innovation Center (AMBIC)
I 期 I/UCRC 约翰霍普金斯大学基地:先进哺乳动物生物制造创新中心 (AMBIC)
- 批准号:
1624684 - 财政年份:2016
- 资助金额:
$ 200万 - 项目类别:
Continuing Grant
UNS:Intergrating novel nutrient feeding strategies with computational glycosylation models to improve production of complex biotherapeutics from mammalian factories
UNS:将新型营养喂养策略与计算糖基化模型相结合,以提高哺乳动物工厂复杂生物治疗药物的生产
- 批准号:
1512265 - 财政年份:2015
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Collaborative Research: Planning Grant: I/UCRC for Advanced Mammalian Biomanufacturing Innovation Center (AMBIC)
合作研究:规划补助金:I/UCRC 先进哺乳动物生物制造创新中心 (AMBIC)
- 批准号:
1464435 - 财政年份:2015
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
Post-Translational Engineering to Improve Biotherapeutic Quality from CHO Cells
提高 CHO 细胞生物治疗质量的翻译后工程
- 批准号:
1264802 - 财政年份:2013
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
相似海外基金
EFRI ELiS: Engineered Living Biofilms (ELBs) for critical mineral biomining and bioremediation applications
EFRI ELiS:用于关键矿物生物采矿和生物修复应用的工程活性生物膜 (ELB)
- 批准号:
2317512 - 财政年份:2023
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
EFRI ELiS : Carbon Sequestration and Coastal Resilience Through 3D Printed Reefs
EFRI ELiS:通过 3D 打印珊瑚礁实现碳封存和海岸恢复力
- 批准号:
2318123 - 财政年份:2023
- 资助金额:
$ 200万 - 项目类别:
Standard Grant
EFRI ELiS: Living Microbial Sensors for Real-Time Monitoring of Pathogens in Wastewater
EFRI ELiS:用于实时监测废水中病原体的活微生物传感器
- 批准号:
2223678 - 财政年份:2023
- 资助金额:
$ 200万 - 项目类别:
Continuing Grant
EFRI ELiS: Biofilm-functionalized and -maintained, living infrastructure systems
EFRI ELiS:生物膜功能化和维护的生活基础设施系统
- 批准号:
2223756 - 财政年份:2023
- 资助金额:
$ 200万 - 项目类别:
Continuing Grant
EFRI ELiS: Desiccatable living cell-based sensors to monitor pollutants and pathogens in built environments
EFRI ELiS:基于可干燥活细胞的传感器,用于监测建筑环境中的污染物和病原体
- 批准号:
2318027 - 财政年份:2023
- 资助金额:
$ 200万 - 项目类别:
Standard Grant