Wireless Sensor Networks and Chemo-/Biosensing

Diamond, Dermot; Coyle, Shirley; Scarmagnani, Silvia; Hayes, Jeremiah F.

doi:10.1021/cr0681187

Cited by 240 publications

(175 citation statements)

References 126 publications

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“…Such connection would rely on Internetscale sensing and control through wireless sensor networks for chemo-/biosensing. 205 Figure 15 illustrates such concepts with a flowchart indicating that new types of information would be input into the whole system by various stakeholders, from individuals to industry partners and government agencies. Millions of sensing devices would provide data for applications that may range from monitoring the environment to health, including clinical diagnosis.…”

Section: Statistical and Computational Methodsmentioning

confidence: 99%

Nanomaterials for Diagnosis: Challenges and Applications in Smart Devices Based on Molecular Recognition

Oliveira

Iost

Siqueira

et al. 2014

ACS Appl. Mater. Interfaces

154

137

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Clinical diagnosis has always been dependent on the efficient immobilization of biomolecules in solid matrices with preserved activity, but significant developments have taken place in recent years with the increasing control of molecular architecture in organized films. Of particular importance is the synergy achieved with distinct materials such as nanoparticles, antibodies, enzymes, and other nanostructures, forming structures organized on the nanoscale. In this review, emphasis will be placed on nanomaterials for biosensing based on molecular recognition, where the recognition element may be an enzyme, DNA, RNA, catalytic antibody, aptamer, and labeled biomolecule. All of these elements may be assembled in nanostructured films, whose layer-by-layer nature is essential for combining different properties in the same device. Sensing can be done with a number of optical, electrical, and electrochemical methods, which may also rely on nanostructures for enhanced performance, as is the case of reporting nanoparticles in bioelectronics devices. The successful design of such devices requires investigation of interface properties of functionalized surfaces, for which a variety of experimental and theoretical methods have been used. Because diagnosis involves the acquisition of large amounts of data, statistical and computational methods are now in widespread use, and one may envisage an integrated expert system where information from different sources may be mined to generate the diagnostics.

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Section: Statistical and Computational Methodsmentioning

confidence: 99%

Nanomaterials for Diagnosis: Challenges and Applications in Smart Devices Based on Molecular Recognition

Oliveira

Iost

Siqueira

et al. 2014

ACS Appl. Mater. Interfaces

154

137

View full text Add to dashboard Cite

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“…Diagnostics, personal health, and related costs will also benefit from the introduction of sensors technology (5)(6)(7). In addition, with the introduction of Registration, Evaluation, Authorization, and Restriction of Chemical Substances (REACH) regulation, unraveling the cause-effect relationships in epidemiology studies will be of outmost importance to help establish reliable environmental policies aimed at protecting the health of individuals and communities (8)(9)(10).…”

Section: Key Challenges In Molecular Sensing For Biomedical Applicationsmentioning

confidence: 99%

“…This area of research is still poorly developed due to the difficulty in sampling such fluids and in particular obtaining uncontaminated samples. The BIOTEX project tackled some of these problems, such as fluid handling, by developing a textile-based system to collect and analyze sweat using a textile-based sensor capable of performing chemical measurements (5).…”

Section: Future Trends In Biomedical Sensingmentioning

confidence: 99%

Properties and Customization of Sensor Materials for Biomedical Applications

Zuliani¹,

Curto²,

Matzeu³

et al. 2014

Comprehensive Materials Processing

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“…In particular, advances in communication and sensor technology has provided a catalyst for progress in remote monitoring of our water systems [7]. This has developed into the concept of wireless sensor networks (WSNs) and involves a diverse range of sensing technologies which autonomously sense their environment and gather and transmit sensed data.…”

Section: Issues With Continuous Monitoring Of Marine and Freshwatmentioning

confidence: 99%

Multi-modal sensor networks for more effective sensing in Irish coastal and freshwater environments

et al. 2012

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Abstract-The world's oceans represent a vital resource to global economies and there exists huge economic opportunity that remains unexploited. However along with this huge potential there rests a responsibility into understanding the effects various developments may have on our natural ecosystem. This along with a variety of other issues necessitates a need for continuous and reliable monitoring of the marine and freshwater environment. The potential for innovative technology development for marine and freshwater monitoring and knowledge generation is huge and recent years have seen huge leaps forward in relation to the development of sensor technology for such purposes. However despite the advancements there are still a number of issues. In our research we advocate a multi-modal approach to create smarter more efficient monitoring networks, while enhancing the use of in-situ wireless sensor networks (WSNs). In particular we focus on the use of visual sensors, modelled outputs and context information to support a conventional in-situ wireless sensor network creating a multi-modal environmental monitoring network. Here we provide an overview of a selection of our work in relation to the use of visual sensing through networked cameras or satellite imagers in three very diverse test sites -a river catchment, a busy port and a coastal environment.

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Wireless Sensor Networks and Chemo-/Biosensing

Cited by 240 publications

References 126 publications

Nanomaterials for Diagnosis: Challenges and Applications in Smart Devices Based on Molecular Recognition

Nanomaterials for Diagnosis: Challenges and Applications in Smart Devices Based on Molecular Recognition

Properties and Customization of Sensor Materials for Biomedical Applications

Multi-modal sensor networks for more effective sensing in Irish coastal and freshwater environments

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