The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Blood, sweat, and tears: developing clinically relevant protein biosensors for integrated body fluid analysis
Abstract
This review describes the challenges, opportunities and recent advances in developing clinically applicable biosensors for integrated body fluid analysis.
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Citations
Cites
Anderson, N. L., & Anderson, N. G. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r200007-mcp200 · Cited by 4,414
Electrochemical Tattoo Biosensors for Real-Time Noninvasive Lactate Monitoring in Human Perspiration
Jia, W., Bandodkar, A. J., Valdés-Ramírez, G., Windmiller, J. R., Yang, Z., Ramírez, J., Chan, G., & Wang, J. (2013) · Analytical Chemistry · doi:10.1021/ac401573r · Cited by 862
Tattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study
Bandodkar, A. J., Jia, W., Yardımcı, C., Wang, X., Ramirez, J., & Wang, J. (2015) · Analytical Chemistry · doi:10.1021/ac504300n · Cited by 700
Glucose sensors: a review of current and emerging technology
Oliver, N. S., Toumazou, C., Cass, A. E. G., & Johnston, D. G. (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2008.02642.x · Cited by 584
A history of blood glucose meters and their role in self-monitoring of diabetes mellitus
Clarke, S. F., & Foster, J. R. (2012) · British Journal of Biomedical Science · doi:10.1080/09674845.2012.12002443 · Cited by 456
Silicon micromachined hollow microneedles for transdermal liquid transport
Gardeniers, H. J. G. E., Luttge, R., Berenschot, E. J. W., de Boer, M. J., Yeshurun, S. Y., Hefetz, M., van-t Oever, R., & van den Berg, A. (2003) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2003.820293 · Cited by 413
Tierney, M. J., Tamada, J. A., Potts, R. O., Jovanovic, L., & Garg, S. (2001) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(01)00189-0 · Cited by 390
In-depth analysis of the human tear proteome
Zhou, L., Zhao, S. Z., Koh, S. K., Chen, L., Vaz, C., Tanavde, V., Li, X. R., & Beuerman, R. W. (2012) · Journal of Proteomics · doi:10.1016/j.jprot.2012.04.053 · Cited by 379
Photonic Crystal Glucose-Sensing Material for Noninvasive Monitoring of Glucose in Tear Fluid
Alexeev, V. L., Das, S., Finegold, D. N., & Asher, S. A. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2004.039701 · Cited by 370
Non-invasive mouthguard biosensor for continuous salivary monitoring of metabolites
Kim, J., Valdés-Ramírez, G., Bandodkar, A. J., Jia, W., Martinez, A. G., Ramírez, J., Mercier, P., & Wang, J. (2014) · The Analyst · doi:10.1039/c3an02359a · Cited by 367
Cited by
Bariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486
A 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
Advanced Carbon for Flexible and Wearable Electronics
Wang, C., Xia, K., Wang, H., Liang, X., Yin, Z., & Zhang, Y. (2019) · Advanced Materials · doi:10.1002/adma.201801072 · Cited by 1,300
Enzyme‐Based Glucose Sensor: From Invasive to Wearable Device
Lee, H., Hong, Y. J., Baik, S., Hyeon, T., & Kim, D. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701150 · Cited by 778
Wearable Chemical Sensors: Present Challenges and Future Prospects
Bandodkar, A. J., Jeerapan, I., & Wang, J. (2016) · ACS Sensors · doi:10.1021/acssensors.6b00250 · Cited by 778
Metadata
- Authors
- Corrie, S. R., Coffey, J. W., Islam, J., Markey, K. A., & Kendall, M. A. F.
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 140
- Issue
- 13
- Pages
- 4350-4364
- ISSN
- 0003-2654 (ISSN-L)
- 1364-5528
- OpenAlex
- W2107219993
- Cited by
- 211
- References
- 19
- FWCI
- 6.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Blood, sweat, and tears: developing clinically relevant protein biosensors for integrated body fluid analysis. https://app.cochat.ai/papers/10.1039/c5an00464k
- The paper
- Corrie, S. R., Coffey, J. W., Islam, J., Markey, K. A., & Kendall, M. A. F. (2015). Blood, sweat, and tears: developing clinically relevant protein biosensors for integrated body fluid analysis. The Analyst. https://doi.org/10.1039/c5an00464k
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.
