Intelligent Continuous-flow Polymer Synthesis
Intelligent Continuous-flow Polymer Synthesis
批准号:
EP/S000380/1
负责人:
Nicholas Warren
金额:
$38.96万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
This project will develop novel, artificially intelligent (AI) continuous-flow (CF) platforms for the manufacture of complex polymers. The aim is to open new design opportunities for sophisticated pharmaceuticals, while ensuring commercial manufacture is cost-effective, green and safe. Polymers are long chain molecules which interact with each other in a manner which results in a diverse range of physical properties. Polymeric materials are often extremely strong, flexible and insulating. Due to their diversity, more polymers are manufactured than any other man-made material. Without them we would not be able maintain our current quality of life. Often overlooked are 'speciality' or 'precision' polymers, which are present in many high-tech or performance products such as electronics, pesticides, lubricants, coatings and pharmaceuticals. Block copolymers, where two distinct polymer chains are tethered together, are of particular interest; especially when each block has considerably different properties. Although these are manufactured on a much smaller scale, they are often key contributors to a products functionality. Perhaps the most complex applications are within healthcare (e.g. drug delivery), where the drive toward 'personalised medicine' will benefit from polymers which are able to respond to local conditions (e.g. temperature or pH in a tumour). These can be used for patient specific, targeted and controlled delivery of drugs. These products will never become a reality unless precise, cost-effective and reproducible methods of manufacture are developed. Continuous-flow is an alternative method of manufacturing chemicals to traditional stirred tanks. It involves continuously pumping the reaction medium through specially designed reactors meaning only a very small amount of material is under reaction conditions at any one time. The benefits of this technique are becoming more relevant in the drive for a sustainable manufacturing. It is often regarded as the greenest, safest and most cost-effective method of chemical manufacture. It is also a multi-scale technique, which is a considerable advantage since the demand for speciality polymers is likely to fluctuate significantly. In this context, larger volumes of product can be prepared by simply running the system for longer, removing any considerations that would be required with batch scale-up.One of the most interesting aspects is the facile incorporation of online monitoring and feedback technology. This is essentially creating artificially intelligent (AI) reactors which will be able to immediately modify conditions to achieve the desired product without human intervention. This provides additional efficiency and potential cost savings.During this project, a suitable continuous-flow reactor will be designed, constructed and evaluated for synthesis of a water based block copolymer. Following this, additional monitoring equipment will be added which will enable remote programming. Real-time monitoring of the conditions and the polymer produced will feed into a program capable of changing the conditions to achieve a product with a composition within defined limits. The system will subsequently be used to synthesise polymers which can respond to local temperature or pH by transitioning between soluble chains and particles. These particles will be capable of encapsulating an active ingredient, and releasing it during the transition to soluble chains which occurs on encountering specific conditions (e.g. inside a tumour).
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Accelerated polymerization-induced self-assembly using automated continuous-flow reactors
使用自动化连续流动反应器加速聚合诱导的自组装
DOI:
--
发表时间:
2019
期刊:
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
影响因子:
--
作者:
[Warren Nicholas]
通讯作者:
Warren Nicholas
DOI:
10.1039/c9py00982e
发表时间:
2019-09-21
期刊:
POLYMER CHEMISTRY
影响因子:
4.6
作者:
[Knox, Stephen T., Parkinson, Sam, Warren, Nicholas J.]
通讯作者:
Warren, Nicholas J.
Continuous flow platforms for the synthesis and optimisation of polymeric materials via RAFT polymerisation
用于通过 RAFT 聚合合成和优化聚合物材料的连续流动平台
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Parkinson Sam]
通讯作者:
Parkinson Sam
DOI:
10.1039/d0py00276c
发表时间:
2020-05-28
期刊:
POLYMER CHEMISTRY
影响因子:
4.6
作者:
[Parkinson, Sam, Knox, Stephen T., Warren, Nicholas J.]
通讯作者:
Warren, Nicholas J.
DOI:
10.1039/c8re00211h
发表时间:
2019-05-01
期刊:
REACTION CHEMISTRY & ENGINEERING
影响因子:
3.9
作者:
[Parkinson, Sam, Hondow, Nicole S., Warren, Nicholas J.]
通讯作者:
Warren, Nicholas J.
共 9 条
NanoMan: Self-Optimising Nanoscale Manufacturing Platforms for Achieving Multiscale Precision
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批准号:EP/V055089/1
-
项目类别:Research Grant
-
资助金额:$182.5万
-
财政年份:2022
-
负责人:Nicholas Warren
-
依托单位:
海外基金