Development of a multiparametric system based on solid-state microsensors for monitoring a nuclear waste repository

Jiménez, C.; Moreno, L.; Haro, Carmen de; Muñoz, Francesc Xavier; Florido, Antonio; Rivas, Pedro José; Fernández, Ana María; Martín, Pedro Luis; Bratov, Andrey; Domı́nguez, Carlos

doi:10.1016/s0925-4005(03)00073-x

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…pH, redox potential (ORP), and conductivity are some of the parameters used to give an insight into the chemical state of the system. A probe containing ISFET and Pt microelectrodes fabricated in the IMB-CNM for monitoring pore water of bentonite has been reported by Jimenez et al [ 98 , 99 ]. The probe was fabricated with stainless steel to be inserted in a scale model with compacted bentonite (see Figure 7a ).…”

Section: Isfets Applications In the Environmental Fieldmentioning

confidence: 99%

ISFET Based Microsensors for Environmental Monitoring

Jimenez-Jorquera

Orozco

Baldi

2009

Sensors

152

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The use of microsensors for in-field monitoring of environmental parameters is gaining interest due to their advantages over conventional sensors. Among them microsensors based on semiconductor technology offer additional advantages such as small size, robustness, low output impedance and rapid response. Besides, the technology used allows integration of circuitry and multiple sensors in the same substrate and accordingly they can be implemented in compact probes for particular applications e.g., in situ monitoring and/or on-line measurements. In the field of microsensors for environmental applications, Ion Selective Field Effect Transistors (ISFETs) have a special interest. They are particularly helpful for measuring pH and other ions in small volumes and they can be integrated in compact flow cells for continuous measurements. In this paper the technologies used to fabricate ISFETs and a review of the role of ISFETs in the environmental field are presented.

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Section: Isfets Applications In the Environmental Fieldmentioning

confidence: 99%

ISFET Based Microsensors for Environmental Monitoring

Jimenez-Jorquera

Orozco

Baldi

2009

Sensors

152

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“…In general terms, these inconveniences are related to the technology of sensors used: the sensors have big sizes and are expensive. Therefore the miniaturization of the sensor is envisaged as an alternative [6,7] and specially microelectrodes fabricated with semiconductor technology which are robust, reproducible, have low output impedance, low fabrication and maintenance costs and they are ease to integrate with the electronic circuitry [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Multisensor Portable Meter for Environmental Applications

et al. 2015

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In recent years the development of information and communication technologies (ICT) has notably improved the water management processes, but the technologies for water quality control still leave much scope for improvement. Specially, in-situ and in-line water monitoring has an increasing interest in order to take decisions at real time. The main drawbacks of the current portable meters are their high cost and their high power consumption. In this work it is proposed a portable compact meter for measuring simultaneously oxidation-reduction potential (ORP), conductivity, temperature and amperometric parameters like chlorine. This system includes microsensors fabricated with microelectronic technologies, and a commercial temperature sensor, all them allowing a very low power consumption. Validation of the system has been carried out using standard solutions and comparing the results with commercial sensors. The response characteristics of sensors, in terms of sensitivity and repeatability, showed a good agreement with those obtained with standard equipment using the same microelectrodes.Index Terms-Portable equipment, microsensors, water monitoring, multiparametric analysis. 1530-437X (c)

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“…The process between the material under study and the output of the target information about this material is still too long for many analytical systems. Several kinds of approaches have been developed with the aim of shortening this process: automated methods [2,3], screening methodologies [4], multiparametric determination [5,6], etc. These advances have been basically supported by two tools: better instrumentation and the speed offered by computers for both automated control and data analysis.…”

mentioning

confidence: 99%

Spectra-based multivalued fingerprints as predictive vectors for partial least squares regression processes

Urbano‐Cuadrado¹,

Ruiz²,

Gómez‐Nieto³

2008

International Journal of Computer Mathematics

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A new method for transforming spectra into multivalued fingerprints is here presented and applied to multivariate regression. The method, aimed at enlarging differences between long-dimensional vectors showing a high degree of similarity, is based on the following stages: (1) spectral outliers removal; (2) data normalization aimed at transforming the spectral matrix into a new data set within the [0,1] range; and (3) selection of threshold values for assigning significance values to each variable according to both normalised and threshold values. A study case is described: the processing of mid infrared spectra in partial least squares regression processes for predicting total acidity and content of reducing sugars in wines. The original spectra matrix consisted of 156 objects (samples) and 1142 columns (predictors)-a wavelenght range of 3000 − 800 cm −1 with a spectral resolution slightly greater than 2 cm −1-. The fact of using the here proposed method yielded better predictions than those obtained by means of both classical treatments and spectral data without any processing.

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Development of a multiparametric system based on solid-state microsensors for monitoring a nuclear waste repository

Cited by 6 publications

References 5 publications

ISFET Based Microsensors for Environmental Monitoring

ISFET Based Microsensors for Environmental Monitoring

Multisensor Portable Meter for Environmental Applications

Spectra-based multivalued fingerprints as predictive vectors for partial least squares regression processes

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