x
A P A R A
sakshi@aparaanalyticals.com
Mail Us

Bioprocess Monitoring

BIOPROCESS MONITORING

Raman spectroscopy is a recognized PAT (Process Analytical Tool) that has been seen as a central spectroscopic tool used in bioprocessing. It plays a pivotal role in the monitoring of fermentations, particularly their optimization within the PAT framework and harnesses biological processes for the development of drug therapies, providing treatments that range from small molecule antibiotics to large recombinant proteins.



UPSTREAM BIOPROCESSING

  • Raman spectroscopy is a vital tool for upstream Process Analytical Technology (PAT), enabling the monitoring of Critical Quality Attributes (CQAs) in mammalian cell cultures. Raman-based analyzers offer an effective solution for monitoring Critical Control Parameters (CCPs) in CHO cell cultures used for monoclonal antibody production. In-line Raman immersion probes enable sterile spectral acquisition directly within the bioreactor, minimizing contamination risks associated with repeated sampling, and supporting real-time, in-line monitoring of titer, cell counts, glucose, lactate, osmolality, ammonium, and antibody concentration.

DOWNSTREAM BIOPROCESSING

  • Raman spectroscopy is emerging as a technique for real-time measurements for in-line downstream process control and monitoring.
  • High-throughput Raman systems are powerful tools for monitoring downstream protein purification process quality. Equipped with advanced high-throughput scanning technology, these systems generate detailed chemical information faster, with improved signal-to-noise ratios and lower limits of detection. They can be used to establish optimal purification end points, detect process excursions with root-cause determinability, enhance process understanding and control across the manufacturing process, and increase yields and profitability.

Industry Applications & ADVANTAGES OF RAMAN ANALYSIS

  • Monitoring biological processes such as fermentation
  • Determine end points
  • Optimize equipment turnover
  • Facilitate scale-up
  • Optimize continuous processing
  • Eliminate less efficient monitoring techniques such as HPLC
  • Facilitate QbD
  • Helps meet Right First Time and Zero Defects initiatives