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A Simple and Sensitive Approach for Real‐Time Sensing of Enzymatically Catalyzed Hydrogelation

Putz, Sebastian 1; Kassar, Meriem 1; Oelschlaeger, Claude 2; Franzreb, Matthias ORCID iD icon 1; Kabay, Gözde 1
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
2 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)

Abstract:

Despite the critical role of hydrogels in material science and biotechnology, current methods for analyzing their formation lack real-time monitoring and require complex sample preparation and instrumentation. In this work, an innovative methodology is introduced for the real-time analysis of enzymatically catalyzed hydrogelation. Electrochemical impedance spectroscopy (EIS) coupled with interdigitated electrodes (IDEs) to sense and transduce the gelation reaction of model precursor carboxymethyl cellulose-tyramine (CMC-TA) conjugates that undergoes enzymatic cross-linking by horseradish peroxidase (HRP) and hydrogen peroxide (H$^2$O$^2$). Real-time monitoring involves single-frequency analyses at 3 × 10$^5$ Hz, where the measured impedance consists solely of a resistive component, and the admittance equates to solution conductance. The gelation trajectories for all tested enzymatically cross-linked hydrogel component combinations are determined by substituting the conductance data in the modified Michaelis–Menten kinetic model. Specifically, for CMC-TA cross-linked by HRP, the authors calculate apparent K$_M$ and k$_cat$ values of 82.1 µM and 95.5 s$^{-1}$, respectively. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000170147
Veröffentlicht am 22.04.2024
Originalveröffentlichung
DOI: 10.1002/adfm.202316469
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2024
Sprache Englisch
Identifikator ISSN: 1616-301X, 1616-3028
KITopen-ID: 1000170147
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Advanced Functional Materials
Verlag Wiley-VCH Verlag
Band 34
Heft 32
Seiten Art.-Nr.: 2316469
Vorab online veröffentlicht am 09.04.2024
Nachgewiesen in Web of Science
Scopus
Dimensions
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