22
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Field-based detection and monitoring of uranium in contaminated groundwater using two immunosensors.

      Environmental Science & Technology
      Antibodies, Monoclonal, chemistry, Fresh Water, Immunoassay, instrumentation, methods, Organometallic Compounds, Phenanthrolines, Radiation Monitoring, Uranium, analysis, Water Pollutants, Radioactive

      Read this article at

      ScienceOpenPubMed
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Field-based monitoring of environmental contaminants has long been a need for environmental scientists. Described herein are two kinetic exclusion-based immunosensors, a field portable sensor (FPS) and an inline senor, that were deployed at the Integrated Field Research Challenge Site of the U.S. Department of Energy in Rifle, CO. Both sensors utilized a monoclonal antibody that binds to a U(VI)-dicarboxyphenanthroline complex (DCPI in a kinetic exclusion immunoassay format These sensors were able to monitor changes of uranium in groundwater samples from approximately 1 microM to below the regulated drinking water limit of 126 nM (30 ppb). The FPS is a battery-operated sensor platform that can determine the uranium level in a single sample in 5-10 min, if the instrument has been previously calibrated with standards. The average minimum detection level (MDL) in this assay was 0.33 nM (79 ppt), and the MDL in the sample (based on a 1:200-1:400 dilution) was 66-132 nM (15.7-31.4 ppb). The inline sensor, while requiring a grounded power source, has the ability to autonomously analyze multiple samples in a single experiment The average MDL in this assay was 0.12 nM (29 ppt), and the MDL in the samples (based on 1:200 or 1:400 dilutions) was 24-48 nM (5.7-11.4 ppb). Both sensor platforms showed an acceptable level of agreement (9 = 0.94 and 0.76, for the inline and FPS, respectively) with conventional methods for uranium quantification.

          Related collections

          Author and article information

          Comments

          Comment on this article