Equipments Details
Description
Technical Description:
MicroCal PEAQ-DSC microcalorimeters are powerful tools that enable characterization of the thermal stability of proteins and other biomolecules. They are used for general stability studies, for biosimilarity and batch-to-batch comparability assessment, and for the optimization of purification and manufacturing conditions.
Public Description:
Find out if your proteins are stable at temperatures relevant to your application. In addition, if you're producing multiple batches of the protein, find out if you're experienced variabilities between these. We can consult with you to optimise both the purification and manufacturing conditions for your protein of interest, with specialist expertise in enzymes.
Intro to DSC on the Malvern Panalytical website:-
https://www.malvernpanalytical.com/en/products/technology/microcalorimetry/differential-scanning-calorimetry
MicroCal PEAQ-DSC microcalorimeters are powerful tools that enable characterization of the thermal stability of proteins and other biomolecules. They are used for general stability studies, for biosimilarity and batch-to-batch comparability assessment, and for the optimization of purification and manufacturing conditions.
Public Description:
Find out if your proteins are stable at temperatures relevant to your application. In addition, if you're producing multiple batches of the protein, find out if you're experienced variabilities between these. We can consult with you to optimise both the purification and manufacturing conditions for your protein of interest, with specialist expertise in enzymes.
Intro to DSC on the Malvern Panalytical website:-
https://www.malvernpanalytical.com/en/products/technology/microcalorimetry/differential-scanning-calorimetry
Details
| Name | Malvern Differential Scanning Calorimeter |
|---|---|
| Acquisition date | 4/01/21 |
| Manufacturers | Malvern Panalytical Ltd |
Keywords
- QP Physiology
×
![]()
Fingerprint
Explore the research areas in which this equipment has been used. These labels are generated based on the related outputs. Together they form a unique fingerprint.