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Reinvigorating Process Analytical Technology Using Virus Lasers

Reinvigorating Process Analytical Technology Using Virus Lasers
使用病毒激光器重振过程分析技术
批准号:
MR/T02156X/1
负责人:
John Hales
金额:
$127.68万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
Innovation in biomedical research has outpaced innovation in biological manufacturing meaning that cutting-edge biological therapies are often very expensive. For instance, Kymriah costs nearly $500K per patient. The overarching goal of the fellowship is to develop highly advanced detection and monitoring systems for biological manufacturing using virus lasers. I invented the virus laser in which dye-labelled virus particles are used as the critical component of laser systems to quantify biomolecules. They have the potential to operate in complex biological environments, bind the full range of biomolecules of interest in industrial bioprocesses and generate a laser signal.The aim is to directly monitor the critical quality attributes that affect the safety and efficacy of the product at all stages of the bioprocess. Virus lasers represent a disruptive breakthrough in biological sensing with the potential to resolve the pressing monitoring and control challenges holding back the transition towards smarter, more productive manufacturing facilities better prepared to deliver innovative, new therapies to patients at commercially-viable but affordable prices.I will build on existing intellectual property, technical expertise and experimental work to develop a lab-based instrument and set of probes that can monitor the concentration of product and one toxic protein at the earliest stages of the bioprocess before purification. I will then translate the instrument and probes into the Quality Control lab of the industrial partner and compare its performance to competing technologies. Finally, I will integrate the instrument and probes directly into one of the industrial partner's bioprocess and then quantify its performance.The immediate impact would be the creation of a new business that sells the instrument and probes as a solution to the long-standing analytical problems currently facing the industry. Greater process control would substantially reduce the technical risk of developing and validating a bioprocess providing UK manufacturing a major strategic advantage. This would reduce drug shortages due to manufacturing issues, reduce the cost and risk of manufacturing biologics and impact the regulatory landscape. Ultimately, these advances will increase the number of effective therapies available for use in hospital trusts and strengthen the business case for smaller companies developing biological therapies for uncommon diseases, improving the quality of life for thousands, possibly millions, of patients.Manufacturing bioprocesses are just one example of a system that can be controlled through biological detection and monitoring. Beyond this fellowship, I want to implement virus lasers as the key sensing element in feedback-control loops in a variety of contexts, from manufacturing facilities to the healthcare frontline in resource-limited settings. I will undertake pioneering, multidisciplinary research into virus lasers at the interface of synthetic biology and laser physics which would pave the way for future innovation activities in these areas.I plan to achieve lasing at ultra-low concentrations to investigate how energy is transferred in virus lasers and to determine the sensitivity limit of this technique. I will establish a biological structure - laser function link using cutting-edge optical detection and the world's leading free-electron laser facility for photobiology. I will then use these techniques to investigate in-depth the mechanisms behind a novel detection paradigm unique to virus lasers. The knowledge created will lead to more advanced laser probes and inspire synthetic biologists to design nano-engineered laser systems with novel characteristics. The long term impact of the first lasers was profound, and likewise virus lasers will lead to the creation of new industries and fields of discovery.
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国内基金
海外基金
Neural Process模型的多样化高保真技术研究
磁转动超新星爆发中weak r-process的关键核反应
多臂Bandit process中的Bayes非参数方法
  • 批准号:
    71771089
  • 项目类别:
    面上项目
  • 资助金额:
    48.0万元
  • 批准年份:
    2017
  • 负责人:
    吴贤毅
  • 依托单位: