The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A wearable electrochemical biosensor for the monitoring of metabolites and nutrients
Open accessAbstract
Wearable non-invasive biosensors for the continuous monitoring of metabolites in sweat can detect a few analytes at sufficiently high concentrations, typically during vigorous exercise so as to generate sufficient quantity of the biofluid. Here we report the design and performance of a wearable electrochemical biosensor for the continuous analysis, in sweat during physical exercise and at rest, of trace levels of multiple metabolites and nutrients, including all essential amino acids and vitamins. The biosensor consists of graphene electrodes that can be repeatedly regenerated in situ, functionalized with metabolite-specific antibody-like molecularly imprinted polymers and redox-active reporter nanoparticles, and integrated with modules for iontophoresis-based sweat induction, microfluidic sweat sampling, signal processing and calibration, and wireless communication. In volunteers, the biosensor enabled the real-time monitoring of the intake of amino acids and their levels during physical exercise, as well as the assessment of the risk of metabolic syndrome (by correlating amino acid levels in serum and sweat). The monitoring of metabolites for the early identification of abnormal health conditions could facilitate applications in precision nutrition. A wearable electrochemical biosensor can continuously detect, in sweat during physical exercise and at rest, trace levels of multiple metabolites and nutrients, including all essential amino acids and vitamins.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Trumbo, P., Schlicker, S., Yates, A. A., & Poos, M. (2002) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(02)90346-9 · Cited by 5,993
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087
Self-citationWearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
Virtually perfect? Telemedicine for COVID-19
Hollander, J. E., & Carr, B. G. (2020) · New England Journal of Medicine · doi:10.1056/nejmp2003539 · Cited by 2,970
Human nutrition, the gut microbiome and the immune system
Kau, A. L., Ahern, P. P., Griffin, N. W., Goodman, A. L., & Gordon, J. I. (2011) · Nature · doi:10.1038/nature10213 · Cited by 2,588
Lee, H., Choi, T. K., Lee, Y. B., Cho, H. R., Ghaffari, R., Wang, L., Choi, H. J., Chung, T. D., Lu, N., Hyeon, T., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.38 · Cited by 1,802
Bariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486
Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Wearable and flexible electronics for continuous molecular monitoring
Yang, Y., & Gao, W. (2019) · Chemical Society Reviews · doi:10.1039/c7cs00730b · Cited by 1,315
Self-citationA soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat
Koh, A., Kang, D., Xue, Y., Lee, S., Pielak, R. M., Kim, J., Hwang, T., Min, S., Banks, A., Bastien, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2593 · Cited by 1,308
Cited by
Device integration of electrochemical biosensors
Wu, J., Liu, H., Chen, W., Ma, B., & Ju, H. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-023-00032-w · Cited by 895
Wearable chemical sensors for biomarker discovery in the omics era
Sempionatto, J. R., Lasalde-Ramírez, J. A., Mahato, K., Wang, J., & Gao, W. (2022) · Nature Reviews Chemistry · doi:10.1038/s41570-022-00439-w · Cited by 613
A wearable aptamer nanobiosensor for non-invasive female hormone monitoring
Ye, C., Wang, M., Min, J., Tay, R. Y., Lukas, H., Sempionatto, J. R., Li, J., Xu, C., & Gao, W. (2024) · Nature Nanotechnology · doi:10.1038/s41565-023-01513-0 · Cited by 466
Self-citationShirzaei Sani, E., Xu, C., Wang, C., Song, Y., Min, J., Tu, J., Solomon, S. A., Li, J., Banks, J. L., Armstrong, D. G., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf7388 · Cited by 405
Self-citationA physicochemical-sensing electronic skin for stress response monitoring
Xu, C., Song, Y., Sempionatto, J. R., Solomon, S. A., Yu, Y., Nyein, H. Y. Y., Tay, R. Y., Li, J., Heng, W., Min, J., et al. (2024) · Nature Electronics · doi:10.1038/s41928-023-01116-6 · Cited by 399
Self-citation
Metadata
- Authors
- Wang, M., Yang, Y., Min, J., Song, Y., Tu, J., Mukasa, D., Ye, C., Xu, C., Heflin, N., McCune, J. S., Hsiai, T. K., Li, Z., & Gao, W.
- Venue
- Nature Biomedical Engineering
- Published
- 2022-08-15
- Volume
- 6
- Issue
- 11
- Pages
- 1225-1235
- ISSN
- 2157-846X (ISSN-L)
- OpenAlex
- W4291624534
- Cited by
- 896
- References
- 22
- FWCI
- 47.98
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A wearable electrochemical biosensor for the monitoring of metabolites and nutrients. https://app.cochat.ai/papers/10.1038/s41551-022-00916-z
- The paper
- Wang, M., Yang, Y., Min, J., Song, Y., Tu, J., Mukasa, D., Ye, C., Xu, C., Heflin, N., McCune, J. S., Hsiai, T. K., Li, Z., & Gao, W. (2022). A wearable electrochemical biosensor for the monitoring of metabolites and nutrients. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-022-00916-z
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.