Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

被引:117
作者
Buckley, Kevin [1 ]
Ryder, Alan G. [1 ]
机构
[1] Natl Univ Ireland Galway, Sch Chem, Nanoscale Biophoton Lab, Galway H91TK33, Ireland
基金
爱尔兰科学基金会;
关键词
Raman spectroscopy; biopharmaceutical manufacturing; cell culture media; chemometrics; online monitoring; proteins; PROCESS ANALYTICAL TECHNOLOGY; NEAR-INFRARED SPECTROSCOPY; PEPTIDE SECONDARY STRUCTURE; INDUCED STRUCTURAL-CHANGES; PROCESS ANALYTICAL TOOL; MAMMALIAN-CELL CULTURE; LEAST-SQUARES METHODS; MASS-SPECTROMETRY; LIQUID-CHROMATOGRAPHY; QUANTITATIVE-ANALYSIS;
D O I
10.1177/0003702817703270
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The production of active pharmaceutical ingredients (APIs) is currently undergoing its biggest transformation in a century. The changes are based on the rapid and dramatic introduction of protein- and macromolecule-based drugs (collectively known as biopharmaceuticals) and can be traced back to the huge investment in biomedical science (in particular in genomics and proteomics) that has been ongoing since the 1970s. Biopharmaceuticals (or biologics) are manufactured using biological-expression systems (such as mammalian, bacterial, insect cells, etc.) and have spawned a large (>Euro35 billion sales annually in Europe) and growing biopharmaceutical industry (BioPharma). The structural and chemical complexity of biologics, combined with the intricacy of cell-based manufacturing, imposes a huge analytical burden to correctly characterize and quantify both processes (upstream) and products (downstream). In small molecule manufacturing, advances in analytical and computational methods have been extensively exploited to generate process analytical technologies (PAT) that are now used for routine process control, leading to more efficient processes and safer medicines. In the analytical domain, biologic manufacturing is considerably behind and there is both a huge scope and need to produce relevant PAT tools with which to better control processes, and better characterize product macromolecules. Raman spectroscopy, a vibrational spectroscopy with a number of useful properties (nondestructive, non-contact, robustness) has significant potential advantages in BioPharma. Key among them are intrinsically high molecular specificity, the ability to measure in water, the requirement for minimal (or no) sample pre-treatment, the flexibility of sampling configurations, and suitability for automation. Here, we review and discuss a representative selection of the more important Raman applications in BioPharma (with particular emphasis on mammalian cell culture). The review shows that the properties of Raman have been successfully exploited to deliver unique and useful analytical solutions, particularly for online process monitoring. However, it also shows that its inherent susceptibility to fluorescence interference and the weakness of the Raman effect mean that it can never be a panacea. In particular, Raman-based methods are intrinsically limited by the chemical complexity and wide analyte-concentration-profiles of cell culture media/bioprocessing broths which limit their use for quantitative analysis. Nevertheless, with appropriate foreknowledge of these limitations and good experimental design, robust analytical methods can be produced. In addition, new technological developments such as time-resolved detectors, advanced lasers, and plasmonics offer potential of new Raman-based methods to resolve existing limitations and/or provide new analytical insights.
引用
收藏
页码:1085 / 1116
页数:32
相关论文
共 214 条
[51]  
Clark D., 2002, HDB VIBRATIONAL SPEC
[52]   RESONANCE RAMAN-SPECTROSCOPY, AND ITS APPLICATION TO INORGANIC-CHEMISTRY [J].
CLARK, RJH ;
DINES, TJ .
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION IN ENGLISH, 1986, 25 (02) :131-158
[53]   Detection of Protein Glycosylation Using Tip-Enhanced Raman Scattering [J].
Cowcher, David P. ;
Deckert-Gaudig, Tanja ;
Brewster, Victoria L. ;
Ashton, Lorna ;
Deckert, Volker ;
Goodacre, Royston .
ANALYTICAL CHEMISTRY, 2016, 88 (04) :2105-2112
[54]   Glucose concentration control of a fed-batch mammalian cell bioprocess using a nonlinear model predictive controller [J].
Craven, Stephen ;
Whelan, Jessica ;
Glennon, Brian .
JOURNAL OF PROCESS CONTROL, 2014, 24 (04) :344-357
[55]   Data Reconciliation of Concentration Estimates from Mid-Infrared and Dielectric Spectral Measurements for Improved On-Line Monitoring of Bioprocesses [J].
Dabros, Michal ;
Amrhein, Michael ;
Bonvin, Dominique ;
Marison, Ian W. ;
von Stockar, Urs .
BIOTECHNOLOGY PROGRESS, 2009, 25 (02) :578-588
[56]   Robust statistics in data analysis - A review basic concepts [J].
Daszykowski, M. ;
Kaczmarek, K. ;
Heyden, Y. Vander ;
Walczak, B. .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2007, 85 (02) :203-219
[57]   Secondary Structure and Glycosylation of Mucus Glycoproteins by Raman Spectroscopies [J].
Davies, Heather S. ;
Singh, Prabha ;
Deckert-Gaudig, Tanja ;
Deckert, Volker ;
Rousseau, Karine ;
Ridley, Caroline E. ;
Dowd, Sarah E. ;
Doig, Andrew J. ;
Pudney, Paul D. A. ;
Thornton, David J. ;
Blanch, Ewan W. .
ANALYTICAL CHEMISTRY, 2016, 88 (23) :11609-11615
[58]   In-Line and Real-Time Process Monitoring of a Freeze Drying Process Using Raman and NIR Spectroscopy as Complementary Process Analytical Technology (PAT) Tools [J].
De Beer, T. R. M. ;
Vercruysse, P. ;
Burggraeve, A. ;
Quinten, T. ;
Ouyang, J. ;
Zhang, X. ;
Vervaet, C. ;
Remon, J. P. ;
Baeyens, W. R. G. .
JOURNAL OF PHARMACEUTICAL SCIENCES, 2009, 98 (09) :3430-3446
[59]   Multivariate curve resolution (MCR) from 2000: Progress in concepts and applications [J].
de Juan, Anna ;
Tauler, Roma .
CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY, 2006, 36 (3-4) :163-176
[60]   Monitoring Antibody Aggregation in Early Drug Development Using Raman Spectroscopy and Perturbation-Correlation Moving Windows [J].
de la Cuesta, Ramon Gomez ;
Goodacre, Royston ;
Ashton, Lorna .
ANALYTICAL CHEMISTRY, 2014, 86 (22) :11133-11140