Amorphous Solid Dispersions

Visualize, optimize, and de-risk spray-dried dispersions. We link SDD microstructure to dissolution, stability, manufacturability, and tech transfer.

SEM cross-section of a spray dried dispersion particle showing amorphous structure and surface porosity
Spray dried dispersion microstructure background image showing amorphous particle morphology

Who this is for

Built for teams developing and scaling SDDs, HMEs, and other amorphous solid dispersion products.

Typical use cases:

  • Formulation scientists evaluating SDD feasibility and formulation trade-offs
  • Drug product and CMC teams defining CQAs, CPPs, and control strategies for tablets, capsules, granules, and DPIs
  • Tech transfer leaders comparing internal sites and external CDMO partners
  • Program leaders reducing dissolution, manufacturability, and bioavailability risk in late-stage development

Why SDDs fail

The critical signals are usually hidden in the particle microstructure.

Spray-dried dispersions can form hollow, porous, shell-like, or internally heterogeneous particles that strongly affect dissolution, stability, tabletability, yield, and ultimately clinical performance.

Most conventional tools do not quantify these structures, or do not have the right sensitivity. Teams usually see the consequences only later: failed dissolution tests, tablet defects, site-to-site differences, transfer issues, and unexpected bioavailability outcomes.

Business Outcomes

Less Variability
Reduce dissolution failures and batch-to-batch differences across sites
Lower Costs
Cut down troubleshooting and rework during scale up and tech transfer
Better CDMO Choices
More confidence in vendor selection and process robustness
Lower Clinical Risk
Fewer surprises tied to solubility and bioavailability

SDD Microstructure Solution in 4 tiers

A defined 3 to 6 week engagment that combines 3D X-ray micro CT imaging and advanced AI analytics to:

What You Get

Microstructure to Performance Map
Which morphology attributes drive dissolution, mechanical strength, and stability
Proposed CPPs and scale up guidance
Anchored in actual SDD structures
Ranked list of SDD CQAs
With recommended control ranges tied to performance outcomes
Optional in-silico dissolution scenarios
For key formulations
Stats section background image for DigiM Solution website showing pharmaceutical data visualization context

Inform your SDDs with microstructure intelligence

Contact a product specialist for the right level of support for your needs

Purple tablet dispersing into a fine particle cloud, illustrating drug microstructure disintegration