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Updated: Jun 22, 2026

Studying the Effects of Matrix Stiffness on Cellular Function using Acrylamide-based Hydrogels
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Competitive Inhibition as a Tool to Modulate and Predict Dynamic Hydrogel Mechanics.

Alexander D Claiborne1, Sirilak Mekcham1, Owen A Lee1

  • 1Department of Chemistry, Colorado State University, 301 W Pitkin St., Fort Collins, Colorado 80521, United States.

ACS Central Science
|March 2, 2026
PubMed
Summary

This study presents a new framework for tuning hydrogel mechanics using competitive inhibition. This method allows for precise control over hydrogel properties, enhancing their use in biomaterials and drug delivery applications.

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Area of Science:

  • Materials Science
  • Biomaterials Engineering
  • Polymer Chemistry

Background:

  • Dynamic hydrogels are crucial biomaterials for applications like drug delivery and tissue engineering.
  • Predicting and controlling the mechanical properties of these hydrogels remains a significant challenge.
  • Existing methods for hydrogel modification often lack precise tunability and predictability.

Purpose of the Study:

  • To introduce a quantitative framework for tuning hydrogel mechanics via competitive inhibition.
  • To enable precise prediction and control of hydrogel mechanical properties.
  • To demonstrate the versatility of this framework across different dynamic chemistries.

Main Methods:

  • Developed a model based on Michaelis-Menten kinetics to define an apparent cross-link association constant (Ka,app).
  • Incorporated Ka,app into traditional network theory for quantitative modulus prediction.
  • Utilized small-molecule competitors with varying binding affinities to disrupt cross-linking in boronate ester and hydrazone-based hydrogels.
  • Employed a Langmuir-type decay function to model stress-relaxation behavior.

Main Results:

  • The framework accurately predicted hydrogel modulus, with predicted and measured values agreeing within 10% relative error for boronate ester gels.
  • The model successfully captured stress-relaxation behavior by considering changes in effective cross-link density.
  • The approach was validated across different dynamic chemistries (boronate ester and hydrazone), demonstrating its generality.
  • A non-injectable gel was successfully transformed into a hand-injectable material by adding competitors.

Conclusions:

  • Competitive inhibition provides a universal and predictive strategy for designing adaptive soft materials.
  • This framework offers precise control over hydrogel mechanics, expanding their potential in advanced applications.
  • The ability to tune hydrogel properties on demand opens new avenues for biomaterial development and therapeutic delivery systems.