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pH-feedback systems to program autonomous self-assembly and material lifecycles

  • Apr 6, 2023
  • 1 min read

Updated: Apr 18, 2023

Read the full article here: Chem. Commun., 2023, 59, 1125



pH-responsive systems have gained importance

for the development of smart

materials and for biomedical applications because they can switch between different states by simple acid/base triggers. However, such equilibrium systems lack the autonomous behaviour that is so ubiquitous in living systems that self-regulate out of equilibrium. As a contribution to the emerging field of autonomous chemical systems, we have developed pH-feedback systems (pH-FS) based on the coupling of acid- and base-producing steps in chemical reaction networks. The resulting autonomous nonlinear pH curves can be coupled with a variety of pH-sensitive building blocks to program the lifecycles of the associated transient state at the level of self-assemblies and material systems. In this article, we discuss the different generations of such pH-feedback systems, the principles of their coupling to self-assemblies with lifecycles and highlight emerging concepts for the design of autonomous functional materials. The specificity, robustness, and flexible operation of such pH-FS can also be used to realize chemo-structural and chemo-mechanical feedbacks that extend the behaviour of such materials systems toward complex and functional life-like systems.


 
 
 

1 Comment


Angus Cox
Angus Cox
Apr 27

This blog is a fascinating look at how pH-feedback systems can make self-assembly feel almost alive, and it connects beautifully with modern Science Research Topics in smart materials and autonomous chemistry. I like how it moves beyond simple trigger-based materials and shows a path toward systems that can regulate their own lifecycles, which feels both innovative and practical for future biomedical and materials applications. It also reminds readers that chemistry is not just about reactions in a lab, but about designing adaptive systems that respond over time, much like living organisms.

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