Guide: Prometheus Panta Parameters Explained
Multiplexing Optical Methods in Prometheus™ Panta for Comprehensive Protein Characterization
When it comes to understanding protein behavior, one technique is rarely enough. Proteins are complex, and their stability, purity, size, and aggregation tendencies all play critical roles in research and development. That’s why the Prometheus™ Panta from NanoTemper stands out — by combining multiple optical methods into a single platform, it enables a truly comprehensive characterization of proteins.
Why Multiplexing Optical Methods?
Let’s break down the key parameters measured by each method and why they matter.
Protein characterization demands more than just one type of measurement. By multiplexing optical techniques such as nanoDSF, DLS, SLS, and backreflection, Prometheus Panta provides a multidimensional profile of your protein samples. This allows researchers to make more informed and confident decisions when selecting candidates for further development, troubleshooting stability issues, or optimizing formulations.
Conformational Stability: nanoDSF
Prometheus Panta uses nanoDSF (nano differential scanning fluorimetry) to assess thermal and chemical unfolding of proteins. Important parameters include:
Tm (melting temperature)
The point at which 50% of a protein or domain is unfolded. This is critical for ranking candidates based on thermostability.
Initial ratio (350nm/330nm fluorescence)
Dynamic light scattering for size distribution
Ea (Activation energy)
Indicator of overall sample turbidity.
Aggregation onset temperature from static light scattering.
T onset
Cm or C50
Indicator of overall sample turbidity.
ΔG (Gibbs free energy)
Dynamic light scattering for size distribution
Dynamic Light Scattering (DLS) in Prometheus Panta helps determine the Polydispersity Index (PDI). This metric reveals the heterogeneity of sample populations — critical for spotting large aggregates or multiple protein populations.
Purity: DLS
Aggregation & Self-Association: SLS & DLS
Monitoring aggregation is vital to ensure therapeutic viability. Prometheus Panta examines:
Temperature at which scattering (even small aggregates) rises, offering sensitivity beyond turbidity.
T scattering
Temperature at which turbidity (large aggregates) begins to increase
T turbidity
Assesses weak interactions. Negative values often point to aggregation tendencies at high concentrations.
kD (Diffusion interaction parameter)
Indicates attractive or repulsive interactions. Negative B22 suggests a higher aggregation risk.
B22 (Self-interaction parameter)
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Efficiency in Protein Characterization:
The power of Prometheus Panta lies in its ability to consolidate all these measurements into a single workflow. This means less sample consumption, more data per experiment, and a holistic understanding of your protein’s properties.
Whether you’re screening candidates, optimizing formulations, or ensuring stability, Multiplexing Optical Methods with Prometheus Panta accelerates your path to success.
Explore how Prometheus™ Panta can streamline your protein characterization pipeline and deliver richer insights for your research.
Derived from diffusion coefficients, it provides an average particle size.
rH (Hydrodynamic radius)
Indicates when particles begin to unfold, oligomerize, or aggregate.
Tsize (Temperature where size increases)
Offers insights into whether your sample contains monomers, oligomers, or aggregates, helping detect modifications or stress-induced changes.