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Cited by 560

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Wearable materials with embedded synthetic biology sensors for biomolecule detection

Open access
Nguyen, Peter Q., Soenksen, Luis R., Donghia, Nina M., Angenent-Mari, Nicolaas M., de Puig, Helena, Huang, Ally, Lee, Rose, Slomovic, Shimyn, Galbersanini, Tommaso, Lansberry, Geoffrey, Sallum, Hani M., Zhao, Evan M., Niemi, James B., Collins, James J.·2021·Nature Biotechnology

Abstract

Integrating synthetic biology into wearables could expand opportunities for noninvasive monitoring of physiological status, disease states and exposure to pathogens or toxins. However, the operation of synthetic circuits generally requires the presence of living, engineered bacteria, which has limited their application in wearables. Here we report lightweight, flexible substrates and textiles functionalized with freeze-dried, cell-free synthetic circuits, including CRISPR-based tools, that detect metabolites, chemicals and pathogen nucleic acid signatures. The wearable devices are activated upon rehydration from aqueous exposure events and report the presence of specific molecular targets by colorimetric changes or via an optical fiber network that detects fluorescent and luminescent outputs. The detection limits for nucleic acids rival current laboratory methods such as quantitative PCR. We demonstrate the development of a face mask with a lyophilized CRISPR sensor for wearable, noninvasive detection of SARS-CoV-2 at room temperature within 90 min, requiring no user intervention other than the press of a button.

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Metadata

Authors
Nguyen, P. Q., Soenksen, L. R., Donghia, N. M., Angenent-Mari, N. M., de Puig, H., Huang, A., Lee, R., Slomovic, S., Galbersanini, T., Lansberry, G., Sallum, H. M., Zhao, E. M., Niemi, J. B., & Collins, J. J.
Venue
Nature Biotechnology
Published
2021-06-28
Volume
39
Issue
11
Pages
1366-1374
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W3175119564
Cited by
560
References
48
FWCI
26.11
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Wearable materials with embedded synthetic biology sensors for biomolecule detection. https://app.cochat.ai/papers/10.1038/s41587-021-00950-3
The paper
Nguyen, P. Q., Soenksen, L. R., Donghia, N. M., Angenent-Mari, N. M., de Puig, H., Huang, A., Lee, R., Slomovic, S., Galbersanini, T., Lansberry, G., Sallum, H. M., Zhao, E. M., Niemi, J. B., & Collins, J. J. (2021). Wearable materials with embedded synthetic biology sensors for biomolecule detection. Nature Biotechnology. https://doi.org/10.1038/s41587-021-00950-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.