The Role of In-Line Image Analysis in the Transition to Continuous Manufacturing in the Pharmaceutical Industry

被引:1
|
作者
Cardona, Javier [1 ]
Ferreira, Carla [2 ,3 ]
Svoboda, Vaclav [2 ,3 ]
Ahmed, Bilal [2 ,4 ]
Mcginty, John [2 ,3 ]
Agimelen, Okfpeafoh S. [2 ,3 ]
Hamilton, Andrew [1 ]
Cleary, Alison [1 ]
Atkinson, Robert [1 ]
Michie, Craig [1 ]
Marshall, Stephen [1 ]
Florence, Alastair J. [2 ,4 ]
Chen, Yi-Chieh [3 ]
Sefcik, Jan [2 ,3 ]
Andonovic, Ivan [1 ]
Tachtatzis, Christos [1 ]
机构
[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland
[2] Univ Strathclyde, EPSRC Ctr Innovat Mfg Continuous Mfg & Crystallis, Glasgow G1 1RD, Lanark, Scotland
[3] Univ Strathclyde, Dept Chem & Proc Engn, Glasgow G1 1XJ, Lanark, Scotland
[4] Univ Strathclyde, Strathclyde Inst Pharm & Biomed Sci, Glasgow G4 0RE, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Continuous manufacturing; digitisation; in-line imaging; FBRM;
D O I
10.3233/978-1-61499-902-7-27
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In recent years, the pharmaceutical industry is seeing a movement towards the implementation of more efficient continuous manufacturing. This shift requires the development of in-line process analytical technologies to monitor and control the process at any given time. However, extracting reliable information from these sensors is a challenge. Among the available technologies, in-line image analysis is quickly gaining importance. This work presents an image analysis framework developed to address one of the main challenges of in-line image analysis: the presence of out-of-focus particles. Through two relevant examples such as the characterisation of a system of microparticles of mixed shapes and the monitoring of a common operation in the pharmaceutical industry such as the wet milling process, the benefits of incorporating this technique are assessed. The real-time analysis of imaging data in combination with other simultaneously-acquired quantitative data streams enables the user to make informed decisions and implement enhanced control strategies.
引用
收藏
页码:27 / 32
页数:6
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