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Real-Time Biologic Analysis Technologies

Continuum 1 Platform Series

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.

1

Determine Equilibrium Properties

Mw • Dh • kD • A2/B22

ACD Mode

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

  • dialysis cell w updated sentron probe.png

    An internal dialysis membrane separates the biologic sample (fluid 1) from the dialysate (fluid 2).

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    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. 

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    The Ion Selective Field Effect Transistor (ISFET) probe tracks the dialysate concentration by measuring conductivity and pH in real time. 

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    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.

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    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.

    poly(A) dialysis.png

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.

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Aggregation & Hydrolysis Thresholds

Rate & Onset of Aggregation

Stability & Instability Parameters

Reversibility Assessment

Simplified product representation

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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. 

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    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. 

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    The biologic concentration continuously decreases while the spectroscopic instrument monitors its changing behavior in real time. 

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    Similarly, the ACM operating mode can simultaneously infuse biologic sample and excipient volumes into the cuvette, where they are circulated and withdrawn. 

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  • Continuous Dilution Analysis of Lysozyme Across Three Runs

    Three independent ACD runs tracked lysozyme behavior across a continuous concentration range.

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    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.

    lysozome data.png

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

One Platform, Broad Applicability.

Dialysis Monitoring

ACD/ACM

SSA

5+ Compatible Techniques.

SLS/DLS

Fluorimetry

UV-Vis

Circular Dichroism

Raman Spectroscopy

8+ Biologic Use Cases.

Antibodies

Proteins

Peptides

LNPs

mRNA 

DNA

ADCs

Viral Capsids

3 Operating Modes.

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