Streamlining protein analysis with PEAQ-DSC: The power of automated data analysis

Ensuring the stability of protein-based therapies is a critical step in the biopharmaceutical development process. One of the most effective ways to assess the thermal stability of these complex biomolecules is with differential scanning calorimetry (DSC). By measuring melting temperature (Tm) and enthalpy (ΔH), key thermal properties, DSC provides valuable insights into the integrity and stability of biomolecules.

Now, imagine you’re in a critical stage in drug development, working with a batch of monoclonal antibodies (mAbs) that will form the basis of a new therapeutic. You’re using DSC to assess the thermal stability of these proteins and as you analyze the complex thermograms, you find yourself bogged down in repetitive tasks: adjusting baselines, selecting fitting models, and trying to avoid errors in buffer subtraction. Each decision you make introduces the possibility of variability, and the clock is ticking.

Simplify analysis

While other DSC systems can leave you struggling to navigate the data, MicroCal PEAQ-DSC can help by automating many of the steps involved in DSC analysis. Here’s how it works:

• Automated buffer subtraction: The system handles this critical step for you, ensuring accurate, consistent results every time.
• Customizable analysis: PEAQ-DSC lets you define the regions of interest, select appropriate baselines, and even add transitions where needed – all with just a few clicks.
• Reusability: Once analysis settings are configured for one sample, they can be saved and easily imported for future experiments, saving time and ensuring consistency across your work.

These automation features not only reduce the time spent on manual tasks but also help eliminate human error and bias, resulting in more reproducible and reliable results.

The key benefits of automation in differential scanning calorimetry

• Increased efficiency: Automating the analysis of DSC thermograms significantly reduces the time spent adjusting settings and ensures faster throughput in QC testing.
• Reduced variability: Automation minimizes the risk of user bias, leading to more consistent and reproducible results.
• Enhanced focus on interpretation: With routine tasks automated, researchers can dedicate more time to interpreting data and making informed decisions about their biomolecule formulations.

DSC analysis is a powerful tool, but automation with PEAQ-DSC takes it to the next level, streamlining your workflow and improving the accuracy and reliability of your results.

Want to learn more?
For a deeper dive into the details of PEAQ-DSC’s automated data analysis features and how they can transform your protein analysis workflows, be sure to check out our full technical note here.