The concept of wireless sensor networks conjures up images of a world of ubiquitous sensing, but it requires a massive increase in the number of sensors available. Although there has been considerable activity in transducer-based 'sensor nets', there have been virtually no corresponding deployments of chemical- or biological-sensing networks — considerable advances in materials science are needed before these can be used on a large scale.
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References
Shenker, S., Ratnasamy, S., Karp, B., Govindan, R. & Estrin, D. Computer Comm. Rev. 33, 137–142 (2003).
Diamond, D. Anal. Chem. 76, 278A–286A (2004).
Diamond, D. in Advances in Sensing with Security Applications (eds Byrnes, J. & Ostheimer, G.) 121–146 (NATO Security through Science Series, Volume 2, Springer, 2006); ibidhttp://www.prometheus-inc.com/asi/sensors2005/lecturers.html.
Evans, T. R., Toth, A. F. & Leermake, P. A. J. Am. Chem. Soc. 89, 5060–5061 (1967).
Phillips, J. P., Mueller, A. & Przystal, F. J. Am. Chem. Soc. 87, 4020 (1965).
Evans, L. III, Collins, G. E., Shaffer, R. E., Michelet, V. & Winkler, J. D. Anal. Chem. 71, 5322–5327 (1999).
Stitzel, S., Byrne, R. & Diamond, D. J. Mater. Sci. 16, 1332–1337 (2006).
Byrne, R., Stitzel, S. & Diamond, D. J. Mater. Chem. (in the press).
Shao, N. et al. Anal. Chem. 77, 7294–7303 (2005).
Stauffer, M. T. & Weber, S. G. Anal. Chem. 71, 1146–1151 (1999).
Lin, J. et al. Front. Biosci. 10, 483–491 (2005).
Meas, T., Taboulet, P., Sobngwi, E. & Gautier, J. F. Diabetes Metab. 31, 299–303 (2005).
Boone, T. et al. Anal. Chem. 74, 78A–86A (2002).
Dempsey, E. et al. Anal. Chim. Acta 346, 341–349 (1997).
Boncheva, M. & Whitesides, G. M. in Dekker Encyclopedia of Nanoscience and Nanotechnology Vol. 1 (eds Schwarz, J. A., Contescu, C. I. & Putyera, K.) 287–294 (Taylor & Francis, New York, 2004).
Grzybowski, B. A., Radkowski, M., Campbell, C. J., Ng Lee, J. & Whitesides, G. M. Appl. Phys. Lett. 84, 1798–1800 (2004).
Bowden, M. & Diamond, D. Sens. Actuat. B 90, 170–174 (2003).
Acknowledgements
We acknowledge support under the Science Foundation Ireland 'Adaptive Information Cluster' award (grant number 03/IN.3/1361).
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Byrne, R., Diamond, D. Chemo/bio-sensor networks. Nature Mater 5, 421–424 (2006). https://doi.org/10.1038/nmat1661
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DOI: https://doi.org/10.1038/nmat1661
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