Moving analytical ultracentrifugation software to a good manufacturing practices (GMP) environment

被引:16
|
作者
Savelyev, Alexey [1 ]
Gorbet, Gary E. [2 ]
Henrickson, Amy [3 ]
Demeler, Borries [1 ,2 ,3 ]
机构
[1] Univ Montana, Dept Chem, Missoula, MT 59812 USA
[2] AUC Solut, Houston, TX 77057 USA
[3] Univ Lethbridge, Dept Chem & Biochem, Lethbridge, AB, Canada
基金
美国国家卫生研究院; 加拿大自然科学与工程研究理事会;
关键词
SEDIMENTATION-VELOCITY EXPERIMENTS; HETEROGENEITY; NANOPARTICLES; PARTICLES;
D O I
10.1371/journal.pcbi.1007942
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Recent advances in instrumentation have moved analytical ultracentrifugation (AUC) closer to a possible validation in a Good Manufacturing Practices (GMP) environment. In order for AUC to be validated for a GMP environment, stringent requirements need to be satisfied; analysis procedures must be evaluated for consistency and reproducibility, and GMP capable data acquisition software needs to be developed and validated. These requirements extend to multiple regulatory aspects, covering documentation of instrument hardware functionality, data handling and software for data acquisition and data analysis, process control, audit trails and automation. Here we review the requirements for GMP validation of data acquisition software and illustrate software solutions based on UltraScan that address these requirements as far as they relate to the operation and data handling in conjunction with the latest analytical ultracentrifuge, the Optima AUC by Beckman Coulter. The software targets the needs of regulatory agencies, where AUC plays a critical role in the solution-based characterization of biopolymers and macromolecular assemblies. Biopharmaceutical and regulatory agencies rely heavily on this technique for characterizations of pharmaceutical formulations, biosimilars, injectables, nanoparticles, and other soluble therapeutics. Because of its resolving power, AUC is a favorite application, despite the current lack of GMP validation. We believe that recent advances in standards, hardware, and software presented in this work manage to bridge this gap and allow AUC to be routinely used in a GMP environment. AUC has great potential to provide more detailed information, at higher resolution, and with greater confidence than other analytical techniques, and our software satisfies an urgent need for AUC operation in the GMP environment. The software, including documentation, are publicly available for free download from Github. The multi-platform software is licensed by the LGPL v.3 open source license and supports Windows, Mac and Linux platforms.
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页数:19
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