The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Disposable Sensors in Diagnostics, Food, and Environmental Monitoring
Open accessAbstract
Disposable sensors are low‐cost and easy‐to‐use sensing devices intended for short‐term or rapid single‐point measurements. The growing demand for fast, accessible, and reliable information in a vastly connected world makes disposable sensors increasingly important. The areas of application for such devices are numerous, ranging from pharmaceutical, agricultural, environmental, forensic, and food sciences to wearables and clinical diagnostics, especially in resource‐limited settings. The capabilities of disposable sensors can extend beyond measuring traditional physical quantities (for example, temperature or pressure); they can provide critical chemical and biological information (chemo‐ and biosensors) that can be digitized and made available to users and centralized/decentralized facilities for data storage, remotely. These features could pave the way for new classes of low‐cost systems for health, food, and environmental monitoring that can democratize sensing across the globe. Here, a brief insight into the materials and basics of sensors (methods of transduction, molecular recognition, and amplification) is provided followed by a comprehensive and critical overview of the disposable sensors currently used for medical diagnostics, food, and environmental analysis. Finally, views on how the field of disposable sensing devices will continue its evolution are discussed, including the future trends, challenges, and opportunities.
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Cites
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
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Reconstituting organ-level lung functions on a chip
Huh, D., Matthews, B. D., Mammoto, A., Montoya-Zavala, M., Hsin, H. Y., & Ingber, D. E. (2010) · Science · doi:10.1126/science.1188302 · Cited by 4,250
Water Analysis: Emerging Contaminants and Current Issues
Richardson, S. D., & Ternes, T. A. (2014) · Analytical Chemistry · doi:10.1021/ac500508t · Cited by 2,144
Wearable Electronics and Smart Textiles: A Critical Review
Stoppa, M., & Chiolerio, A. (2014) · Sensors · doi:10.3390/s140711957 · Cited by 2,107
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
Vogelstein, B., & Kinzler, K. W. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.16.9236 · Cited by 1,770
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
Bioresorbable silicon electronic sensors for the brain
Kang, S.-K., Murphy, R. K. J., Hwang, S.-W., Lee, S. M., Harburg, D. V., Krueger, N. A., Shin, J., Gamble, P., Cheng, H., Yu, S., et al. (2016) · Nature · doi:10.1038/nature16492 · Cited by 998
Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics
Kim, J., Kim, M., Lee, M.-S., Kim, K., Ji, S., Kim, Y.-T., Park, J., Na, K., Bae, K.-H., Kyun Kim, H., et al. (2017) · Nature Communications · doi:10.1038/ncomms14997 · Cited by 951
Cited by
End-to-end design of wearable sensors
Ates, H. C., Nguyen, P. Q., Gonzalez-Macia, L., Morales-Narváez, E., Güder, F., Collins, J. J., & Dincer, C. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00460-x · Cited by 1,306
Self-citationChallenges, Applications, and Future of Wireless Sensors in Internet of Things: A Review
Jamshed, M. A., Ali, K., Abbasi, Q. H., Imran, M. A., & Ur-Rehman, M. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3148128 · Cited by 495
Chemiresistive Sensor Arrays for Gas/Volatile Organic Compounds Monitoring: A Review
Rath, R. J., Farajikhah, S., Oveissi, F., Dehghani, F., & Naficy, S. (2023) · Advanced Engineering Materials · doi:10.1002/adem.202200830 · Cited by 183
Wu, C., Zhang, Z., Kim, T., Jin Kwon, S., Lee, K., Lee, S.-B., Um, M.-K., Byun, J.-H., & Chou, T.-W. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.138088 · Cited by 7
Metadata
- Authors
- Dincer, C., Bruch, R., Costa‐Rama, E., Fernández‐Abedul, M. T., Merkoçi, A., Manz, A., Urban, G. A., & Güder, F.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-05-15
- Volume
- 31
- Issue
- 30
- Pages
- e1806739-e1806739
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2945247767
- Cited by
- 955
- References
- 23
- FWCI
- 33.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Dincer, C., Bruch, R., Costa‐Rama, E., Fernández‐Abedul, M. T., Merkoçi, A., Manz, A., Urban, G. A., & Güder, F. (2019). Disposable Sensors in Diagnostics, Food, and Environmental Monitoring. Advanced Materials. https://doi.org/10.1002/adma.201806739
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