Radionuclide Sensors for Environmental Monitoring:  From Flow Injection Solid-Phase Absorptiometry to Equilibration-Based Preconcentrating Minicolumn Sensors with Radiometric Detection

Grate, Jay W.; Egorov, Oleg B.; O’Hara, Matthew J.; DeVol, Timothy A.

doi:10.1021/cr068115u

Cited by 53 publications

(37 citation statements)

References 83 publications

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“…In addition to the routine determination of radionuclides, specific applications of PSm, which take advantage from its characteristics, are continuous monitoring of radionuclides in fluid streams [13,14]; measurement of samples with a high salt content that can produce instability (phase separation) when [15]; usage as a selective extractant scintillation support (PSm resin) in which the radionuclides can be separated and pre-concentrated in a column-vial that can be measured later without additional steps of elution and sample preparation [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of plastic scintillation microspheres: Evaluation of scintillators

Santiago

Bagán

Tarancón

et al. 2013

Nuclear Instruments and Methods in Physics Research Section A:

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Section: Introductionmentioning

confidence: 99%

Synthesis of plastic scintillation microspheres: Evaluation of scintillators

Santiago

Bagán

Tarancón

et al. 2013

Nuclear Instruments and Methods in Physics Research Section A:

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“…This sensor has errors of <10% with a sensor based on a plastic scintillator receptor capable of continuous, on-time and accurate remote quantification of the activity of α, β and β-γ emitters. Grate et al (2008) describe a minicolumn sensor for the detection of radionuclides with a sensing approach based on equilibrium in the columns.…”

Section: Marine Pollution (Mp)mentioning

confidence: 99%

Detecting marine hazardous substances and organisms: sensors for pollutants, toxins, and pathogens

et al. 2009

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Abstract. Marine environments are influenced by a wide diversity of anthropogenic and natural substances and organisms that may have adverse effects on human health and ecosystems. Real-time measurements of pollutants, toxins, and pathogens across a range of spatial scales are required to adequately monitor these hazards, manage the consequences, and to understand the processes governing their magnitude and distribution. Significant technological advancements have been made in recent years for the detection and analysis of such marine hazards. In particular, sensors deployed on a variety of mobile and fixed-point observing platforms provide a valuable means to assess hazards. In this review, we present state-of-the-art of sensor technology for the detection of harmful substances and organisms in the ocean. Sensors are classified by their adaptability to various platforms, addressing large, intermediate, or small areal scales. Current gaps and future demands are identified with an indication of the urgent need for new sensors to detect marine hazards at all scales in autonomous real-time mode. Progress in sensor technology is expected to depend on the development of small-scale sensor technologies with a high sensitivity and specificity towards target analytes or organisms. However, deployable systems must comply with platform requirements as these interconnect the three areal scales. Future developments will include the integration of existing methods into complex and operational sensing systems for a comprehensive strategy for long-term monitoring.Correspondence to: O. Zielinski (oliver.zielinski@imare.de)The combination of sensor techniques on all scales will remain crucial for the demand of large spatial and temporal coverage.

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“…The use of PSm avoids the production of mixed waste when measuring (EPA, 2001;Tahnassian et al, 1991), because the organic solvent is substituted by a polymer that is completely polymerized and cannot degrade by itself. Other advantages come from the solid form of PSm, because PSm can be used in continuous detectors (Grate et al, 2008;Tarancón et al, 2005) and as an extractive scintillation resin (Bagán et al, 2012(Bagán et al, , 2011Grogan and Devol, 2011).…”

Section: Introductionmentioning

confidence: 99%