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PFI-RP: Sensors, Computational Modeling, and Bioanalytical Technologies for Closed-Loop Lyophilization

PFI-RP: Sensors, Computational Modeling, and Bioanalytical Technologies for Closed-Loop Lyophilization
PFI-RP:用于闭环冻干的传感器、计算模型和生物分析技术
批准号:
1827717
负责人:
Alina Alexeenko
金额:
$75.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2022-08-31

项目摘要

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中文摘要
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英文摘要
The broader impact/commercial potential of this PFI project is in providing real-time sensor technologies, computational modeling and bioanalytical tools for accelerated manufacturing of lyophilized pharmaceuticals that will enable more cost-efficient manufacturing of life-saving medicines. Over 40% of the biopharmaceuticals approved by FDA since 2008 are marketed in lyophilized dosage forms, and many pharmaceutical products could not be commercially viable without lyophilization. However, lyophilization is among the most expensive and time-consuming unit operations in pharmaceutical manufacturing, with batch-mode operation, open-loop processing, and lack of real-time product quality monitoring. A typical production lyophilization cycle usually takes from a few days to two weeks with typical operating costs of over $50,000 per day. As much as 30% of this time is wasted because of overly conservative cycles due to lack of in-process product monitoring and closed-loop control. This project will translate to manufacturing readiness several technologies that are currently in development and will accelerate the transition to automated lyophilization and enable "self-driving" lyophilizers. The proposed project addresses three interconnected technical challenges by co-development of: (i) Noninvasive product temperature monitoring using wireless probes that are compatible with aseptic processing requirements; (ii) Accelerated biomolecule stability analytics by solid-state hydrogen-deuterium exchange mass spectrometry; and (iii) Real-time lyophilization rate measurement and closed-loop process control based on distributed wireless probes and computational modeling of the heat and mass transfer in the product, container and the lyophilizer equipment. The project activities are expected to advance knowledge in several fields, namely a) fluid/thermal transport in low-pressure conditions; b) flexible hybrid electronics for RF systems in extreme environments; c) biomolecule degradation mechanisms and analytical methods. The technologies will be implemented in a lyophilizer at Purdue's lyophilization technology demonstration facility and tested under realistic manufacturing constraints in collaboration with industry partners. The research and technology development activities will be complemented by dissemination of results to the lyophilization user community. Educational modules related to technologies developed in this program will be included in training courses organized by LyoHUB, an industry-university consortium based at Purdue University. Additionally, by cooperating with Purdue Foundry, the team will educate students in commercialization for engineering and pharmaceutical technology inventions.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.
期刊论文(5)
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会议论文
LyoPRONTO: an Open-Source Lyophilization Process Optimization Tool
LyoPRONTO:开源冻干工艺优化工具
DOI: 10.1208/s12249-019-1532-7
发表时间: 2019
期刊: AAPS PharmSciTech
影响因子: 3.3
作者: [Shivkumar, Gayathri, Kazarin, Petr S., Strongrich, Andrew D., Alexeenko, Alina A.]
通讯作者: Alexeenko, Alina A.
Effects of temperature and relative humidity in D2O on solid-state hydrogen deuterium exchange mass spectrometry (ssHDX-MS)
D2O 中的温度和相对湿度对固态氢氘交换质谱 (ssHDX-MS) 的影响
DOI: 10.1016/j.ijpharm.2021.120263
发表时间: 2021
期刊: International Journal of Pharmaceutics
影响因子: 5.8
作者: [Tukra, Rishabh, Gardner, Sam, Topp, Elizabeth M.]
通讯作者: Topp, Elizabeth M.
DOI: 10.1016/j.ejpb.2021.09.005
发表时间: 2021-09-24
期刊: EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS
影响因子: 4.9
作者: [Strongrich, Andrew, Alexeenko, Alina]
通讯作者: Alexeenko, Alina
Collaborative Research: CubeSat Ideas Lab: VIrtual Super-resolution Optics with Reconfigurable Swarms (VISORS)
  • 批准号:
    1936531
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  • 资助金额:
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  • 财政年份:
    2019
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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    2016
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  • 负责人:
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