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Abstract Paper-based electrochemical sensors provide the opportunity for low-cost, portable and environmentally friendly single-use chemical analysis and there are various reports of surface-functionalized paper electrodes. Here we report a composite paper electrode that is fabricated through designed papermaking using cellulose, carbon fibers (CF), and graphene oxide (GO). The composite paper has well-controlled structure, stable, and repeatable properties, and offers the electrocatalytic activities for sensitive and selective chemical detection. We demonstrate that this CF/GO/cellulose composite paper can be reduced electrochemically using relatively mild conditions and this GO reduction confers electrocatalytic properties to the composite paper. Finally, we demonstrate that this composite paper offers sensing performance (sensitivity and selectivity) comparable to, or better than, paper-based sensors prepared by small-batch surface-modification (e.g., printing) methods. We envision this coupling of industrialized papermaking technologies with interfacial engineering and electrochemical reduction can provide a platform for single-use and portable chemical detection for a wide range of applications.
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T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning
Paper received the best paper award in the 48th ASME Design Automation Conference.
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- Award ID(s):
- 1835782
- PAR ID:
- 10378406
- Date Published:
- Journal Name:
- International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2022
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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