Validation of a fully autonomous phosphate analyser based on a microfluidic lab-on-a-chip

Slater, Conor; Cleary, John; Lau, King Tong; Snakenborg, Detlef; Corcoran, Brian; Kutter, Jörg Peter; Diamond, Dermot

doi:10.2166/wst.2010.069

Cited by 30 publications

(19 citation statements)

References 21 publications

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“…Following laboratory based validation studies [31,32], the first generation phosphate analyser was deployed at a wastewater treatment plant (Osberstown Wastewater Treatment Plant, Co. Kildare, Ireland) over a 6 week period in July and August 2008. The analyser was situated within the monitoring building which houses the WWTP's online monitoring systems for phosphate, ammonia and nitrate.…”

Section: In-situ Testing Of First Generation Phosphate Analysermentioning

confidence: 99%

Development and Deployment of a Microfluidic Platform for Water Quality Monitoring

Cleary

Maher

Diamond

2013

Smart Sensors, Measurement and Instrumentation

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Abstract. There is an increasing demand for autonomous sensor devices which can provide reliable data on key water quality parameters at a higher temporal and geographical resolution than is achievable using current approaches to sampling and monitoring. Microfluidic technology, in combination with rapid and on-going developments in the area of wireless communications, has significant potential to address this demand due to a number of advantageous features which allow the development of compact, low-cost and low-powered analytical devices. Here we report on the development of a microfluidic platform for water quality monitoring. This system has been successfully applied to in-situ monitoring of phosphate in environmental and wastewater monitoring applications. We describe a number of the technical and practical issues encountered and addressed during these deployments and summarise the current status of the technology.

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Section: In-situ Testing Of First Generation Phosphate Analysermentioning

confidence: 99%

Development and Deployment of a Microfluidic Platform for Water Quality Monitoring

Cleary

Maher

Diamond

2013

Smart Sensors, Measurement and Instrumentation

Self Cite

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“…Such a device has been developed and deployed by our colleagues for monitoring phosphate levels in water (lakes, river, wastewater treatment plant outlets etc .) [24]. Its portability, small size and potential low cost renders it very promising for some degree of scale-up in the marine environment.…”

Section: Sensors Involvedmentioning

confidence: 99%

A Neural Network Approach to Smarter Sensor Networks for Water Quality Monitoring

O'Connor

Smeaton

O’Connor

et al. 2012

Sensors

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Environmental monitoring is evolving towards large-scale and low-cost sensor networks operating reliability and autonomously over extended periods of time. Sophisticated analytical instrumentation such as chemo-bio sensors present inherent limitations because of the number of samples that they can take. In order to maximize their deployment lifetime, we propose the coordination of multiple heterogeneous information sources. We use rainfall radar images and information from a water depth sensor as input to a neural network (NN) to dictate the sampling frequency of a phosphate analyzer at the River Lee in Cork, Ireland. This approach shows varied performance for different times of the year but overall produces output that is very satisfactory for the application context in question. Our study demonstrates that even with limited training data, a system for controlling the sampling rate of the nutrient sensor can be set up and can improve the efficiency of the more sophisticated nodes of the sensor network.

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“…The angle of the images captured by the camera. described in [11] would benefit from an adaptive sampling rate based on surrounding events. In the following a selection of studies carried out into a multi-modal context based approach for optimising the monitoring ability of the network are described.…”

Section: A Issuesmentioning

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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Validation of a fully autonomous phosphate analyser based on a microfluidic lab-on-a-chip

Cited by 30 publications

References 21 publications

Development and Deployment of a Microfluidic Platform for Water Quality Monitoring

Development and Deployment of a Microfluidic Platform for Water Quality Monitoring

A Neural Network Approach to Smarter Sensor Networks for Water Quality Monitoring

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

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