
An Integrated Workflow for Characterizing Biologic Formulation Behavior
Continuum moves beyond conventional formulation snapshots by following formulation trajectories in real time and distinguishing their associated equilibrium and non-equilibrium behavior.
2
Map Formulation Trajectories & Reversibility
pH • ionic strength • excipients • buffers
Dialysis Mode
3
Distinguish Equilibrium & Non-Equilibrium Behavior
association • aggregation • hydrolysis • kinetics
SSA Mode
Biologic Formulation
Actionable Formulation Insights
Continuum 1 Product Series
Powering the Formulation Workflow
Comprehensive Data to Optimize Formulation
Aggregation & Hydrolysis Thresholds
Onset & Rate of Aggregation
Stability & Instability Parameters
Reversibility Assessment

An internal dialysis membrane separates the biologic sample (fluid 1) from the dialysate (fluid 2).
Fluid 2 can contain salts, surfactants, pH modifiers, or any other excipient of interest. It flows continuously through the cuvette and is dialyzed against fluid 1, creating a controlled change in formulation conditions.
The Ion Selective Field Effect Transistor (ISFET) probe tracks the dialysate concentration by measuring conductivity and pH in real time.
The Non-Contact Stirrer circulates the fluid without damaging the biologic.
Biophysical Threshold Detection of Poly(A), an RNA Homopolymer
Three independent runs monitored 0.25 mg/mL Poly(A) during dialysis against 5M NaCl.
Aggregation Threshold: Poly(A) aggregation began at an NaCl concentration of 1,056 mM.
Reproducibility: The identified threshold varied by only ±0.4% across the three independent runs.
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Continuum 1
Operating Capabilities: Dialysis Monitoring
Explore a broad formulation landscape while capturing biologic behavior in real time to identify stable formulation windows and optimal conditions.

Aggregation & Hydrolysis Thresholds
Rate & Onset of Aggregation
Stability & Instability Parameters
Reversibility Assessment
Simplified product representation

High-Resolution Candidate Developability Data
A2/B22: Aggregation Indicator
kD: Intermolecular Interactions
Mw: Changes in Aggregation State
Dh: Diffusional Interactions
High-Resolution Candidate Developability Data
The ACD operating mode isolates the concentration-dependent behavior of the biologic by continuously diluting the biologic sample initially present in the cuvette.
A diluent is pumped through the infuse line, circulated with the biologic sample via the non-contact stirrer, and pumped out at the same rate it was pumped in.
The biologic concentration continuously decreases while the spectroscopic instrument monitors its changing behavior in real time.
Similarly, the ACM operating mode can simultaneously infuse biologic sample and excipient volumes into the cuvette, where they are circulated and withdrawn.

Continuous Dilution Analysis of Lysozyme Across Three Runs
Three independent ACD runs tracked lysozyme behavior across a continuous concentration range.
Positive A2: Indicates net repulsive interactions and favorable solubility.
Slightly negative kD: Suggests weak attractive intermolecular interactions.
Stable Mw: Indicates minimal aggregation throughout dilution.
Consistent Dh: Demonstrates stable hydrodynamic size across the tested concentration range.

Continuum 1 Dual
Operating Capabilities: Dialysis Monitoring · ACD · ACM · SSA
Unlock the full workflow with a complementary unit designed to generate comprehensive developability profiles by capturing multiple equilibrium and stability parameters in a single run.
Simplified product representation
Select Publications
ACS Omega | 2025
Consequences of mRNA Secondary Structure on Stability Against Hydrolysis and Aggregation
Curtis W. Jarand, Zhiyou Deng, Mark L. Brader, and Wayne F. Reed
The seemingly unrelated massive aggregation of free mRNA under certain solution conditions and the well-known autohydrolysis of mRNA are actually both closely linked through its secondary and possibly tertiary structure (s/t). This hypothesis posits that s/t partially stabilizes mRNA against both autohydrolysis and massive aggregation. Destabilization of s/t via denaturant guanidine-HCl (Gd), or temperature, has profound effects on both aggregation rates and final degree of autohydrolysis. These denaturant effects occurred for a variety of mRNA, ranging from 700 to 3000 nucleotides but showed very different quantitative behavior among themselves, suggesting some of the methods presented here might help characterize mRNA stability and robustness. Light scattering monitoring during dialysis of mRNA against Gd revealed an “aggregation window”, over 0.5–3 M Gd, whereas dialyzing against a nondenaturing electrolyte (NaCl) showed semireversible monotonic increase of aggregation up to 4 M. Massive aggregation of mRNA in solutions with monovalent ions and in denaturing solutions has not been previously reported. A phenomenological model involving intermolecular electrostatic repulsion and attractions due chiefly to π–π stacking helps interpret the various phenomena.
Curtis W. Jarand, Zhiyou Deng, Mark L. Brader, and Wayne F. Reed
Biomacromolecules | 2024
Dialysis Monitoring of Ionic Strength and Denaturant Effects, and Their Reversibility, for Various Classes of Macromolecules
Curtis W. Jarand, Melanie J. McLeod, and Wayne F. Reed
Monitoring membrane-mediated dialysis in real time with static and dynamic light scattering revealed distinctive differences, including reversibility/irreversibility, in the effects of ionic strength (NaCl) and the denaturant guanidine-HCl (Gd) on a synthetic polyelectrolyte and several types of biomacromolecules: protein, polysaccharide, and polyampholyte. Dialysis cycles against aqueous NaCl and Gd, and reverse back to the original aqueous solution, were monitored. The behavior of Na-polystyrenesulfonate was reversible and yielded a detailed polymer physics description. The biomacromolecules additionally showed hydrogen-bonding/hydrophobic (HP) interactions. An interpretive model was developed that considers the interplay among polyelectrolyte, polyampholyte, and HP potential energies in determining the different associative, aggregative, and dissociative behaviors. NaCl isolated purely electrostatic effects, whereas Gd combined electrostatic and HP effects. Some macromolecules showed partially reversible behavior, and others were completely irreversible. The dialysis monitoring method should prove useful for investigating fundamental macromolecular and colloid properties and for drug formulation and stability optimization.
Curtis W. Jarand, Melanie J. McLeod, and Wayne F. Reed

