Literature DB >> 28534676

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review.

Kevin Buckley1, Alan G Ryder1.   

Abstract

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 (>€35 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.

Entities:  

Keywords:  Raman spectroscopy; biopharmaceutical manufacturing; cell culture media; chemometrics; online monitoring; proteins

Mesh:

Substances:

Year:  2017        PMID: 28534676     DOI: 10.1177/0003702817703270

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  14 in total

1.  Analytical performance of Raman spectroscopy in assaying biochemical components in human serum.

Authors:  Stella Giansante; Hector Enrique Giana; Adriana Barrinha Fernandes; Landulfo Silveira
Journal:  Lasers Med Sci       Date:  2021-02-03       Impact factor: 3.161

2.  Pipeline for the removal of hardware related artifacts and background noise for Raman spectroscopy.

Authors:  Christian J F Bertens; Shuo Zhang; Roel J Erckens; Frank J H M van den Biggelaar; Tos T J M Berendschot; Carroll A B Webers; Rudy M M A Nuijts; Marlies Gijs
Journal:  MethodsX       Date:  2020-04-21

3.  Continuous Online Protein Quality Monitoring during Perfusion Culture Production Using an Integrated Micro/Nanofluidic System.

Authors:  Taehong Kwon; Sung Hee Ko; Jean-François P Hamel; Jongyoon Han
Journal:  Anal Chem       Date:  2020-03-24       Impact factor: 6.986

4.  Design of Experiments, Chemometrics, and Raman Spectroscopy for the Quantification of Hydroxylammonium, Nitrate, and Nitric Acid.

Authors:  Luke R Sadergaski; Travis J Hager; Hunter B Andrews
Journal:  ACS Omega       Date:  2022-02-15

5.  Process Analytical Technology for Advanced Process Control in Biologics Manufacturing with the Aid of Macroscopic Kinetic Modeling.

Authors:  Martin Kornecki; Jochen Strube
Journal:  Bioengineering (Basel)       Date:  2018-03-16

6.  Graphene-Based Raman Spectroscopy for pH Sensing of X-rays Exposed and Unexposed Culture Media and Cells.

Authors:  Carlo Camerlingo; Alessandro Verde; Lorenzo Manti; Roberta Meschini; Ines Delfino; Maria Lepore
Journal:  Sensors (Basel)       Date:  2018-07-12       Impact factor: 3.576

Review 7.  Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective.

Authors:  Anne Richelle; Blandine David; Didier Demaegd; Marianne Dewerchin; Romain Kinet; Angelo Morreale; Rui Portela; Quentin Zune; Moritz von Stosch
Journal:  NPJ Syst Biol Appl       Date:  2020-03-13

Review 8.  Process Analytical Technologies and Data Analytics for the Manufacture of Monoclonal Antibodies.

Authors:  Murali K Maruthamuthu; Scott R Rudge; Arezoo M Ardekani; Michael R Ladisch; Mohit S Verma
Journal:  Trends Biotechnol       Date:  2020-08-21       Impact factor: 19.536

9.  The efficacy of Raman spectroscopy in the diagnosis of esophageal cancer: a systematic review and meta-analysis.

Authors:  Jianqi Hao; Cong Chen; Hongyu Jin; Nan Chen; Jian Zhou; Yuzhou Zhu; Kayi Chung; Qiang Pu
Journal:  Transl Cancer Res       Date:  2020-08       Impact factor: 1.241

10.  The accuracy of Raman spectroscopy in the diagnosis of lung cancer: a systematic review and meta-analysis.

Authors:  Cong Chen; Jianqi Hao; Xiaohu Hao; Wenying Xu; Congjia Xiao; Jian Zhang; Qiang Pu; Lunxu Liu
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

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