The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
A MXene‐Based Wearable Biosensor System for High‐Performance In Vitro Perspiration Analysis
Abstract
Wearable electrochemical biosensors for sweat analysis present a promising means for noninvasive biomarker monitoring. However, sweat‐based sensing still poses several challenges, including easy degradation of enzymes and biomaterials with repeated testing, limited detection range and sensitivity of enzyme‐based biosensors caused by oxygen deficiency in sweat, and poor shelf life of sensors using all‐in‐one working electrodes patterned by traditional techniques (e.g., electrodeposition and screen printing). Herein, a stretchable, wearable, and modular multifunctional biosensor is developed, incorporating a novel MXene/Prussian blue (Ti 3 C 2 Tx/PB) composite designed for durable and sensitive detection of biomarkers (e.g., glucose and lactate) in sweat. A unique modular design enables a simple exchange of the specific sensing electrode to target the desired analytes. Furthermore, an implemented solid–liquid–air three‐phase interface design leads to superior sensor performance and stability. Typical electrochemical sensitivities of 35.3 µA m m−1 cm−2 for glucose and 11.4 µA m m−1 cm−2 for lactate are achieved using artificial sweat. During in vitro perspiration monitoring of human subjects, the physiochemistry signals (glucose and lactate level) can be measured simultaneously with high sensitivity and good repeatability. This approach represents an important step toward the realization of ultrasensitive enzymatic wearable biosensors for personalized health monitoring.
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Cites
Large-scale pattern growth of graphene films for stretchable transparent electrodes
Kim, K. S., Zhao, Y., Jang, H., Lee, S. Y., Kim, J. M., Kim, K. S., Ahn, J.-H., Kim, P., Choi, J.-Y., & Hong, B. H. (2009) · Nature · doi:10.1038/nature07719 · Cited by 10,452
2D metal carbides and nitrides (MXenes) for energy storage
Anasori, B., Lukatskaya, M. R., & Gogotsi, Y. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.98 · Cited by 7,440
25th Anniversary Article: MXenes: A New Family of Two‐Dimensional Materials
Naguib, M., Mochalin, V. N., Barsoum, M. W., & Gogotsi, Y. (2014) · Advanced Materials · doi:10.1002/adma.201304138 · Cited by 6,414
Electromagnetic interference shielding with 2D transition metal carbides (MXenes)
Shahzad, F., Alhabeb, M., Hatter, C. B., Anasori, B., Man Hong, S., Koo, C. M., & Gogotsi, Y. (2016) · Science · doi:10.1126/science.aag2421 · Cited by 5,201
Recent Advances in Ultrathin Two-Dimensional Nanomaterials
Tan, C., Cao, X., Wu, X.-J., He, Q., Yang, J., Zhang, X., Chen, J., Zhao, W., Han, S., Nam, G.-H., et al. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00558 · Cited by 5,100
Self-citationFully 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
Cation Intercalation and High Volumetric Capacitance of Two-Dimensional Titanium Carbide
Lukatskaya, M. R., Mashtalir, O., Ren, C. E., Dall’Agnese, Y., Rozier, P., Taberna, P. L., Naguib, M., Simon, P., Barsoum, M. W., & Gogotsi, Y. (2013) · Science · doi:10.1126/science.1241488 · Cited by 4,320
Electrochemical Glucose Biosensors
Wang, J. (2008) · Chemical Reviews · doi:10.1021/cr068123a · Cited by 3,498
Ultra-high-rate pseudocapacitive energy storage in two-dimensional transition metal carbides
Lukatskaya, M. R., Kota, S., Lin, Z., Zhao, M.-Q., Shpigel, N., Levi, M. D., Halim, J., Taberna, P.-L., Barsoum, M. W., Simon, P., et al. (2017) · Nature Energy · doi:10.1038/nenergy.2017.105 · Cited by 2,335
Ran, J., Gao, G., Li, F.-T., Ma, T.-Y., Du, A., & Qiao, S.-Z. (2017) · Nature Communications · doi:10.1038/ncomms13907 · Cited by 2,023
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Self-citationSensing with MXenes: Progress and Prospects
Ho, D. H., Choi, Y. Y., Jo, S. B., Myoung, J., & Cho, J. H. (2021) · Advanced Materials · doi:10.1002/adma.202005846 · Cited by 482
Wearable Electrochemical Glucose Sensors in Diabetes Management: A Comprehensive Review
Saha, T., Del Caño, R., Mahato, K., De la Paz, E., Chen, C., Ding, S., Yin, L., & Wang, J. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00078 · Cited by 442
From Diagnosis to Treatment: Recent Advances in Patient-Friendly Biosensors and Implantable Devices
Li, P., Lee, G.-H., Kim, S. Y., Kwon, S. Y., Kim, H.-R., & Park, S. (2021) · ACS Nano · doi:10.1021/acsnano.0c06688 · Cited by 359
Deshmukh, K., Kovářík, T., & Khadheer Pasha, S. K. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213514 · Cited by 282
Metadata
- Authors
- Lei, Y., Zhao, W., Zhang, Y., Jiang, Q., He, J., Baeumner, A. J., Wolfbeis, O. S., Wang, Z. L., Salama, K. N., & Alshareef, H. N.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2019-04-08
- Volume
- 15
- Issue
- 19
- Pages
- e1901190-e1901190
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W2938816672
- Cited by
- 441
- References
- 49
- FWCI
- 17.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lei, Y., Zhao, W., Zhang, Y., Jiang, Q., He, J., Baeumner, A. J., Wolfbeis, O. S., Wang, Z. L., Salama, K. N., & Alshareef, H. N. (2019). A MXene‐Based Wearable Biosensor System for High‐Performance In Vitro Perspiration Analysis. Small. https://doi.org/10.1002/smll.201901190
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