The DOI matches its Crossref record; 240 of the 240 references it cites were found in a registry or an index.
A Megatrend Challenging Analytical Chemistry: Biosensor and Chemosensor Concepts Ready for the Internet of Things
Abstract
The Internet of Things (IoT) is a megatrend that cuts across all scientific and engineering disciplines and establishes an integrating technical evolution to improve production efficiencies and daily human life. Linked machines and sensors use decision-making routines to work toward a common product or solution. Expanding this technical revolution into the value chain of complex areas such as agriculture, food production, and healthcare requires the implementation and connection of sophisticated (bio)analytical methods. Today, wearable sensors, monitors, and point-of-care diagnostic tests are part of our daily lives and improve patients' medical progression or athletes' monitoring capabilities that are already beyond imagination. Also, early contributions toward sensor networks and finally the IT revolution with wireless data collection and transmission via Bluetooth or smartphones have set the foundation to connect remote sensors and distributed analytical chemical services with centralized laboratories, cloud storage, and cloud computing. Here, we critically review those biosensor and chemosensor technologies and concepts used in an IoT setting or considered IoT-ready that were published in the period 2013-2018, while also pointing to those foundational concepts and ideas that arose over the last two decades. We focus on these sensors due to their unique ability to be remotely stationed and that easily function in networks and have made the greatest progress toward IoT integration. Finally, we highlight requirements and existing and future challenges and provide possible solutions important toward the vision of a seamless integration into a global analytical concept, which includes many more analytical techniques than sensors and includes foremost next-generation sequencing and separation principles coupled with MS detection.
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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
The development and future of lithium ion batteries
Blomgren, G. E. (2017) · Journal of The Electrochemical Society · doi:10.1149/2.0251701jes · Cited by 1,940
Remote sensing imagery in vegetation mapping: a review
Xie, Y., Sha, Z., & Yu, M. (2008) · Journal of Plant Ecology · doi:10.1093/jpe/rtm005 · Cited by 1,395
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
Energy harvesting in wireless sensor networks: A comprehensive review
Shaikh, F. K., & Zeadally, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.010 · Cited by 1,253
Soft Microfluidic Assemblies of Sensors, Circuits, and Radios for the Skin
Xu, S., Zhang, Y., Jia, L., Mathewson, K. E., Jang, K.-I., Kim, J., Fu, H., Huang, X., Chava, P., Wang, R., et al. (2014) · Science · doi:10.1126/science.1250169 · Cited by 1,199
Inflammation-free, gas-permeable, lightweight, stretchable on-skin electronics with nanomeshes
Miyamoto, A., Lee, S., Cooray, N. F., Lee, S., Mori, M., Matsuhisa, N., Jin, H., Yoda, L., Yokota, T., Itoh, A., et al. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.125 · Cited by 1,181
Lee, H., Song, C., Hong, Y. S., Kim, M., Cho, H. R., Kang, T., Shin, K., Choi, S. H., Hyeon, T., & Kim, D.-H. (2017) · Science Advances · doi:10.1126/sciadv.1601314 · Cited by 1,118
Wireless sensors in agriculture and food industry—Recent development and future perspective
Wang, N., Zhang, N., & Wang, M. (2006) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2005.09.003 · Cited by 1,099
Diagnostics for the developing world
Mabey, D., Peeling, R. W., Ustianowski, A., & Perkins, M. D. (2004) · Nature Reviews Microbiology · doi:10.1038/nrmicro841 · Cited by 1,054
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Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring
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Metadata
- Authors
- Mayer, M., & Baeumner, A. J.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-05-09
- Volume
- 119
- Issue
- 13
- Pages
- 7996-8027
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2944570854
- Cited by
- 300
- References
- 240
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- closed
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