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Bioelectrochemical platforms to study and detect emerging pathogens.
Machado, Mary C; Zamani, Marjon; Daniel, Susan; Furst, Ariel L.
  • Machado MC; Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, USA.
  • Zamani M; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, USA.
  • Daniel S; Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, USA.
  • Furst AL; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, USA.
MRS Bull ; 46(9): 840-846, 2021.
Article in English | MEDLINE | ID: covidwho-1538257
ABSTRACT
The ongoing SARS-CoV-2 pandemic has emphasized the importance of technologies to rapidly detect emerging pathogens and understand their interactions with hosts. Platforms based on the combination of biological recognition and electrochemical signal transduction, generally termed bioelectrochemical platforms, offer unique opportunities to both sense and study pathogens. Improved bio-based materials have enabled enhanced control over the biotic-abiotic interface in these systems. These improvements have generated platforms with the capability to elucidate biological function rather than simply detect targets. This advantage is a key feature of recent bioelectrochemical platforms applied to infectious disease. Here, we describe developments in materials for bioelectrochemical platforms to study and detect emerging pathogens. The incorporation of host membrane material into electrochemical devices has provided unparalleled insights into the interaction between viruses and host cells, and new capture methods have enabled the specific detection of bacterial pathogens, such as those that cause secondary infections with SARS-CoV-2. As these devices continue to improve through the merging of hi-tech materials and biomaterials, the scalability and commercial viability of these devices will similarly improve.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: MRS Bull Year: 2021 Document Type: Article Affiliation country: S43577-021-00172-7

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: MRS Bull Year: 2021 Document Type: Article Affiliation country: S43577-021-00172-7