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System-Level Network Analysis of a Catechol Component for Redox Bioelectronics System-Level Network Analysis of a Catechol Component for Redox Bioelectronics AITranslate

University of Maryland; Wuhan University of Science and Technology; University of Maryland; University of Maryland; University of Maryland; Wuhan University; University of Maryland; University of Maryland
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Publisher: ACS
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Abstract AITranslate

Redox is a ubiquitous biological signaling modality that is providing opportunities for bioelectronics. Various experimental studies have demonstrated that catechols offer unique molecular electronic properties for redox-based bioelectronics because catechols can confer redox activity without conductivity. Here, we fabricated a catechol-containing hydrogel film at an electrode surface and characterized this film using dynamic spectroelectrochemical measurements and physics-based modeling (i.e., reaction–diffusion modeling). We show that (i) the flow of electrons through the catechol film involves a redox reaction network; (ii) the redox-state switching of the catechol node is gated by diffusible electron carriers (i.e., mediators) and synchronized to electron transfer at the electrode; and (iii) a physics-based reaction–diffusion model can be abstracted into readily measurable metrics that can be used to characterize the response characteristics of more complex experimental systems (i.e., systems that cannot be described from first principles). Finally, we performed a simple perturbation analysis to illustrate how theory can guide the selection of metrics capable of detecting interactions between the catechol-coated electrode and bio-relevant nodes of a redox interactome (i.e., metrics that are sensitive to redox network topology). Overall, this work provides a unifying framework to understand catechol-based electrode coatings and suggests how theory can guide the selection of metrics for data-driven analysis in emerging applications in redox bioelectronics.

KeyWords AITranslate

catechols redoxbased bioelectronics networked electron flow redox network analysis mediated electrochemistry metrics
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Basic Information:

DOI:https://doi.org/10.1021/acsaelm.2c00269

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Citation Information:

Redox is a ubiquitous biological signaling modality that is providing opportunities for bioelectronics. Various experimental studies have demonstrated that catechols offer unique molecular electronic properties for redox-based bioelectronics because catechols can confer redox activity without conductivity. Here, we fabricated a catechol-containing hydrogel film at an electrode surface and characterized this film using dynamic spectroelectrochemical measurements and physics-based modeling (i.e., reaction–diffusion modeling). We show that (i) the flow of electrons through the catechol film involves a redox reaction network; (ii) the redox-state switching of the catechol node is gated by diffusible electron carriers (i.e., mediators) and synchronized to electron transfer at the electrode; and (iii) a physics-based reaction–diffusion model can be abstracted into readily measurable metrics that can be used to characterize the response characteristics of more complex experimental systems (i.e., systems that cannot be described from first principles). Finally, we performed a simple perturbation analysis to illustrate how theory can guide the selection of metrics capable of detecting interactions between the catechol-coated electrode and bio-relevant nodes of a redox interactome (i.e., metrics that are sensitive to redox network topology). Overall, this work provides a unifying framework to understand catechol-based electrode coatings and suggests how theory can guide the selection of metrics for data-driven analysis in emerging applications in redox bioelectronics.

quote

GB/T 7714-2015 [1] Zhiling Zhao, Si Wu, Eunkyoung Kim, et al. ACS Applied Electronic Materials, 2022(4). DOI:10.1021/acsaelm.2c00269.
MLA [1] Zhiling Zhao, et al., ACS Applied Electronic Materials, no. 4, 2022, https://doi.org/10.1021/acsaelm.2c00269.
APA [1] Zhiling Zhao, Si Wu, Eunkyoung Kim, Chenyu Chen, John R. Rzasa, Xiaowen Shi, William E. Bentley, & Gregory F. Payne. (2022). ACS Applied Electronic Materials(4). https://doi.org/10.1021/acsaelm.2c00269
IEEE [1] Zhiling Zhao, Si Wu, Eunkyoung Kim, Chenyu Chen, John R. Rzasa, Xiaowen Shi, William E. Bentley, and Gregory F. Payne, ACS Applied Electronic Materials, no. 4, 2022, doi: 10.1021/acsaelm.2c00269. keywords: {catechols redoxbased bioelectronics networked electron flow redox network analysis mediated electrochemistry metrics}