Formulation screening
Rank candidates faster by observing continuous stability behavior under controlled stress.
ARGEN / kinetic stability intelligence
Build biologic formulations that hold up under stress.
Develop more stable, manufacturable biologic formulations faster with real-time kinetic intelligence on aggregation onset, degradation pathways, molecular weight change, and stress response across formulation, processing, and storage conditions.
Not sure whether ARGEN fits your stability question? Start with the five-minute assessment.
8 stressed samples
Real-time SLS
In situ stress
Aggregation / degradation / Mw
Kinetic stability intelligence
Endpoint state plus the kinetic path.
Endpoint methods tell you what was present at selected checks. ARGEN adds the missing time dimension: when instability started, how quickly it moved, and which stress condition changed the path before ranking, follow-up, or AI-validation decisions are locked in.
What kinetic context adds between endpoint checks
Endpoint-only view
Two checks. Missing path.
You see selected time points, but not when instability started or how quickly it moved.
ARGEN time-resolved view
Onset, rate, and divergence.
Continuous SLS evidence shows which condition separates early and what deserves follow-up.
Workflow applications
Use ARGEN where timing changes the stability decision.
Aggregation kinetics
Catch kinetic divergence and molecular weight change as they develop.
Mechanical stress modeling
Evaluate stirring and shear perturbations that reveal formulation weakness.
Thermal/chemical stress
Compare behavior across temperature, buffer, pH, excipient, and condition sets.
Advanced modalities
Support mAb, protein, peptide, RNA/LNP, AAV, and biopolymer stability workflows.
CRO/CDMO differentiation
Offer higher-value stability studies with stress ranking, onset/rate evidence, and clearer follow-up.
Industries and services
Built for pharma, food & beverage, and CRO/CDMO teams.
Pharma and biotech
Biologic formulation and developability teams
Use ARGEN to compare stressed mAbs, proteins, peptides, RNA/LNPs, AAVs, and related biopolymers with time-resolved SLS evidence.
Explore pharma and biotechFood and beverage
Ingredient, flavor, and shelf-life R&D
Apply real-time light scattering to pasteurization stress, protein functionality, citrus flavor stability, solubility, dissolved oxygen, and accelerated shelf-life questions.
Explore food & beverageCRO/CDMO services
Add kinetic stability data to client programs
CROs and CDMOs can offer ARGEN studies as a higher-value service: rank candidates faster, explain stress response, and give sponsors a clearer basis for follow-up work.
Discuss CRO/CDMO fitWorkflow fit
Use ARGEN when ranking depends on what happens under stress.
ARGEN belongs in formulation decisions where time-resolved SLS can reveal the first sign of instability, expose stress-specific behavior, and focus follow-up work on the candidates with the strongest kinetic evidence.
01
Frame the formulation question
Choose the candidates, stress conditions, and decision threshold before the run.
02
Run parallel stress experiments
Monitor up to eight SLS experiments across thermal, chemical, or stirring stress.
03
Read the kinetic signal
See onset, rate, divergence, and molecular weight change while there is still time to change the program decision.
04
Rank what moves forward
Move the strongest candidates forward and reserve deeper orthogonal characterization for the formulations that earn it.
Platform capability
Monitor formulation stress in real time.
ARGEN is a bench-top static light scattering platform for therapeutic biopolymer development. Researchers can monitor molecular weight change and stability behavior in real time while applying thermal, chemical, and mechanical stirring stress.
Parallel comparison across up to eight experiments makes ARGEN practical for formulation screening, DOE-style studies, and condition ranking without waiting for isolated endpoint checks.
Decision evidence
A kinetic readout your team can rank on.
ARGEN turns stress studies into a practical decision view: which formulation moved first, how quickly the signal changed, and which candidates deserve the next assay.
Stress run
Thermal ramp / formulation screen
Live signal
Candidate rank
- F03stable signal
- F01late onset
- F06early divergence
Onset first detectable change
Rate slope under stress
Divergence ranking confidence
Formulation decisions
See instability earlier. Choose formulations with more confidence.
Kinetic truth
Measure how aggregation, degradation, and molecular weight change evolve over time instead of relying only on selected checkpoints.
Better ranking
Compare candidates under stress and prioritize follow-up work with more informative experiments.
Mechanistic insight
Expose stress-specific behavior in proteins, mAbs, peptides, RNA/LNPs, AAVs, and other complex biologic systems.
AI-ready evidence
Provide experimental kinetic data that can validate model outputs, refine hypotheses, and support digital formulation workflows.
Evaluation confidence
Test your material before you commit.
Give your formulation team a low-friction way to evaluate ARGEN against a real stability question before purchase. Select representative material and a focused condition set that matters to the program; we run the sample test and review whether the kinetic signal changes ranking, follow-up, or confidence.
Use your material
Target one decision
Review fit before purchase
Request a sample evaluation
Kinetic stability resources
Check study fit first, then inspect the evidence.
Assessment tool
ARGEN Study-Fit Assessment
Answer a focused intake to see whether ARGEN is a credible fit for a formulation, storage, or process-stress question.
Run Fit AssessmentMethod brief
Kinetic Stability Intelligence Brief
Use the brief to pressure-test one formulation, developability, stress-response, or AI-validation decision.
Get the briefTechnical note
RNA stability monitoring
Review thermal-stress RNA work that uses ARGEN for in situ, temporal stability analysis across buffer systems.
Read RNA noteCase study
rAAV capsid stability
See how ARGEN monitors full and empty rAAV capsids under thermal stress for larger biologic species.
Read rAAV studyCase study
Stirring stress aggregation
Examine protein-concentration effects on aggregation propensity under mechanical stirring stress.
Read stirring studyIndustry case
Food and beverage stability
Review how real-time SLS evidence supports flavor, protein, oxygen, and accelerated shelf-life questions in F&B R&D.
Review food and beverage caseWhy now
AI can reduce experimental waste. Physical truth still matters.
As AI-enabled formulation workflows narrow the search space, each wet-lab experiment has to answer a more valuable decision question. Kinetic profiles make those experiments more useful by showing not only whether a prediction held, but how and under which stress condition it held or failed.
The goal is not to compete with AI or replace established assays. The goal is to supply the physical, time-resolved evidence those workflows need to be trusted.
Where ARGEN fits
Add kinetic evidence without replacing trusted assays.
ARGEN strengthens established analytical workflows by adding the time-resolved context endpoint assays cannot provide. SEC, DLS, native PAGE, and related methods still do the characterization work; ARGEN shows how the stability behavior unfolded before those checkpoints.
The practical value is faster confidence: see which formulations separate under stress, understand why the separation matters, and decide what deserves deeper orthogonal follow-up.
Start discussion
Bring one real stability question.
Send a formulation, developability, process-stress, or service-fit question and we will point you to the most useful next step.