Enabling manufacturing of Functional Nanomaterials using SynBio
使用 SynBio 制造功能性纳米材料
基本信息
- 批准号:EP/P006892/1
- 负责人:
- 金额:$ 79.88万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This year, the global demand for nanomaterial, which is already a multi-billion$ industry, will have grown 2.5-fold since 2012. Current nanomaterials production methods are at least 1000 times more wasteful when compared to the production of bulk and fine chemicals. Consequently there is an urgent need to develop green production methods for nanomaterials which can allow greater control over materials properties, yet require less energy, produce less waste (i.e. eco-friendly) and are cost-effective. Nature produces more than 60 distinct inorganic nanomaterials (e.g. CaCO3, Fe3O4, silica) on the largest of scales through self-assembly under ambient conditions (biomineralisation). Although biological methods for nanomaterials synthesis (e.g. using microorganisms or complex enzymes) are effective in reducing environmental burden, they are expensive, inefficient and/or currently not scalable to industrial production. We will adopt a synthetic biology (SynBio) approach, which is one of the EPSRC's core strategic themes, by harnessing the biological principles to design advanced nanomaterials leading to novel manufacturing methods. SynBio is a very powerful tool for the production of high-precision advanced functional nanomaterials and our approach marries two of the "8 great technologies for the future" ("Synthetic Biology" and "Advanced Nanomaterials"). Instead of using cells or microbes, our SynBio strategy uses synthetic molecules (SynBio additives) inspired from biomineralisation. SynBio produces a wide range of well-defined and tunable nanomaterials under mild (ambient) conditions, quickly and with little waste. Our SynBio approach offers the potential for high-yields, like the traditional chemical precipitation method, together with the precision, customisation, efficiency and low waste of biomineralisation.The bulk of research on bioinspired synthesis of nanomaterials has been performed at small scales and, although there are good opportunities for developing nanomaterials manufacturing based on bioinspired approaches, there are no reports on larger-scale investigations. Adopting a bioinspired SynBio approach, this project will enable the controlled synthesis and scalability of silica and magnetic nanoparticles (SNP and MNP) which are worth ~$11 billion globally. These methods are far more amenable to scale-up and can truly be considered 'green'. This SynBio process can reduce the manufacturing carbon footprint (by >90%), thus providing a significant cost benefit to industry.
今年,全球对纳米材料的需求已经是一个数十亿美元的产业,自2012年以来将增长2.5倍。与大宗和精细化学品的生产相比,目前的纳米材料生产方法至少浪费1000倍。因此,迫切需要开发纳米材料的绿色生产方法,该方法可以更好地控制材料特性,但需要更少的能源,产生更少的废物(即生态友好)并且具有成本效益。自然界通过在环境条件下的自组装(生物矿化)在最大规模上产生了60多种不同的无机纳米材料(例如CaCO 3,Fe 3 O 4,二氧化硅)。虽然用于纳米材料合成的生物方法(例如使用微生物或复合酶)在减少环境负担方面是有效的,但是它们是昂贵的、低效的和/或目前不能扩展到工业生产。我们将采用合成生物学(SynBio)方法,这是EPSRC的核心战略主题之一,通过利用生物学原理设计先进的纳米材料,从而实现新的制造方法。SynBio是生产高精度先进功能纳米材料的强大工具,我们的方法结合了“未来8大技术”中的两项(“合成生物学”和“先进纳米材料”)。我们的SynBio策略不使用细胞或微生物,而是使用受生物矿化启发的合成分子(SynBio添加剂)。SynBio在温和(环境)条件下生产各种定义明确和可调的纳米材料,快速且几乎没有浪费。我们的SynBio方法提供了高产量的潜力,如传统的化学沉淀法,以及生物矿化的精确性,定制化,效率和低浪费。大部分关于纳米材料生物启发合成的研究都是在小规模上进行的,虽然有很好的机会开发基于生物启发方法的纳米材料制造,但没有大规模研究的报告。该项目采用生物启发的SynBio方法,将实现二氧化硅和磁性纳米颗粒(SNP和MNP)的可控合成和可扩展性,全球价值约110亿美元。这些方法更容易扩大规模,可以真正被认为是“绿色”的。这种SynBio工艺可以减少制造碳足迹(>90%),从而为行业提供显着的成本效益。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Comparison of Environmental Impact of Various Silicas Using a Green Chemistry Evaluator.
- DOI:10.1021/acssuschemeng.2c00519
- 发表时间:2022-04-25
- 期刊:
- 影响因子:8.4
- 作者:Brambila, Carlos;Boyd, Peter;Keegan, Amber;Sharma, Pankaj;Vetter, Caleb;Ponnusamy, Ettigounder;Patwardhan, Siddharth, V
- 通讯作者:Patwardhan, Siddharth, V
Scalable and sustainable manufacturing of ultrathin metal-organic framework nanosheets (MONs) for solar cell applications
- DOI:10.1016/j.cej.2023.146871
- 发表时间:2023-10
- 期刊:
- 影响因子:15.1
- 作者:David J. Ashworth;Justin Driver;Kezia Sasitharan;Ram R.R. Prasad;Joshua Nicks;Benedict J. Smith;
- 通讯作者:David J. Ashworth;Justin Driver;Kezia Sasitharan;Ram R.R. Prasad;Joshua Nicks;Benedict J. Smith;
Enabling scale-up of mesoporous silicon for lithium-ion batteries: a systematic study of a thermal moderator.
- DOI:10.1039/d0ra09000j
- 发表时间:2021-01-19
- 期刊:
- 影响因子:3.9
- 作者:Entwistle JE;Patwardhan SV
- 通讯作者:Patwardhan SV
A Novel Method for Understanding the Mixing Mechanisms to Enable Sustainable Manufacturing of Bioinspired Silica.
- DOI:10.1021/acsengineeringau.2c00028
- 发表时间:2023-02-15
- 期刊:
- 影响因子:0
- 作者:Baba, Yahaya D;Chiacchia, Mauro;Patwardhan, Siddharth V
- 通讯作者:Patwardhan, Siddharth V
Designing bioinspired green nanosilicas using statistical and machine learning approaches
- DOI:10.1039/d0me00167h
- 发表时间:2021-04-01
- 期刊:
- 影响因子:3.6
- 作者:Dewulf, Luc;Chiacchia, Mauro;Patwardhan, Siddharth, V
- 通讯作者:Patwardhan, Siddharth, V
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Siddharth Patwardhan其他文献
Acquiring paraphrases from text corpora
从文本语料库中获取释义
- DOI:
10.1145/1597735.1597764 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Rahul Bhagat;E. Hovy;Siddharth Patwardhan - 通讯作者:
Siddharth Patwardhan
Incorporating Dictionary and Corpus Information into a Context Vector Measure of Semantic Relatednes
- DOI:
- 发表时间:
2003 - 期刊:
- 影响因子:0
- 作者:
Siddharth Patwardhan - 通讯作者:
Siddharth Patwardhan
Fact-based question decomposition for candidate answer re-ranking
基于事实的问题分解,用于候选答案重新排序
- DOI:
10.1145/2063576.2063886 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Aditya Kalyanpur;Siddharth Patwardhan;B. Boguraev;Adam Lally;Jennifer Chu - 通讯作者:
Jennifer Chu
An empirical analysis of word error rate and keyword error rate
误词率和关键词错误率实证分析
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Youngja Park;Siddharth Patwardhan;Karthik Venkat Ramanan;Stephen C. Gates - 通讯作者:
Stephen C. Gates
Measures of Semantic Similarity and Relatedness in the Medical Domain
医学领域语义相似性和相关性的测量
- DOI:
- 发表时间:
2005 - 期刊:
- 影响因子:0
- 作者:
Ted Pedersen;Serguei V. S. Pakhomov;Siddharth Patwardhan - 通讯作者:
Siddharth Patwardhan
Siddharth Patwardhan的其他文献
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{{ truncateString('Siddharth Patwardhan', 18)}}的其他基金
EPSRC-SFI: Table Top Manufacturing of Tailored Silica for Personalised Medicine [SiPM]
EPSRC-SFI:用于个性化医疗的定制二氧化硅的桌面制造 [SiPM]
- 批准号:
EP/V051458/1 - 财政年份:2021
- 资助金额:
$ 79.88万 - 项目类别:
Research Grant
Understanding the role of mesoporous Silicon in sustainable energy applications
了解介孔硅在可持续能源应用中的作用
- 批准号:
NE/V02129X/1 - 财政年份:2021
- 资助金额:
$ 79.88万 - 项目类别:
Research Grant
Bioinspired green manufacturing of next generation energy storage materials
下一代储能材料的仿生绿色制造
- 批准号:
EP/R041822/1 - 财政年份:2018
- 资助金额:
$ 79.88万 - 项目类别:
Research Grant
Design and green manufacturing of functional nanomaterials
功能纳米材料设计与绿色制造
- 批准号:
EP/R025983/1 - 财政年份:2018
- 资助金额:
$ 79.88万 - 项目类别:
Fellowship
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