Determination of Organic Compound Classes Using Research and Regulatory Analytical Techniques for the Demonstration Project: Research Project Summary

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dc.contributor.authorLippincott, Lee
dc.contributor.authorBuckley, Brian
dc.date.accessioned2020-10-29T16:44:38Z
dc.date.available2020-10-29T16:44:38Z
dc.date.issued2017-04
dc.description.abstractThis research demonstrated the ability to track trace-level unregulated contaminants through the treatment train at two water treatment facilities that are within the capture zone of a hazardous waste plume. Sample collection initiated in April 2011 and sampling continued through 2014 at the Merchantville/Pennsauken Water Treatment Plant Marion Avenue Facility (MPW) in Camden County and the Fair Lawn Cadmus Avenue Facility in Bergen County. Each facility utilized air-stripping technology to remove regulated VOC contamination prior to implementation of GAC treatment. This research evaluated the removal/reduction efficiency of physical adsorption technologies to reduce the levels of trace organic compounds using three types of commercially available granular activated carbon (GAC). Monitoring the actual efficiency of the removal media, like granular activated carbon, does not routinely occur at low parts-per-trillion concentration levels. Typically, pilot or bench-scale column studies have focused on sorptive capacity with spiked chemicals at part-per-million concentrations rather than ambient level, (part-per-trillion), concentrations to determine removal efficiency. Often the media is evaluated at concentrations that are orders of magnitude higher than the levels in the water due to limitations of traditional measurement methods. Thus, the sorption efficiency, molecular diffusion into the GAC pore structure, and other physical sorption phenomena do not represent the trace organic matrix condition that the media is actually exposed to under normal operational conditions. Therefore, it was the objective of this study to measure the efficiency of the media at ambient parts per trillion levels. This research utilized both optimized regulatory analytical methodology in conjunction with state-of-the-art analytical research methods to determine the full scale activated carbon treatment removal efficiencies of unregulated contaminants in ground water. Although the three different carbon types evaluated were similar in performance, the data indicated that performance differences existed in the GAC material and were related to the polarity of the observed unregulated contaminants. The New Jersey Department of Health analytical method identified very low levels of unregulated nonpolar contaminants throughout the drinking water treatment train. The percentage of TICs removed to below detection limit as analyzed by the 525.2LL method for both systems represented a 91-99% reduction. On the other hand, the Rutgers EOHSI laboratory technique identified a select few, more-polar compounds, which passed through the treatment train to delivered drinking water. The percentage of TICs removed to below detection limit as analyzed by the Solid Phase Micro Extraction (SPME) method for both systems represented a 72-85% reduction. Given the difference in preferential adsorption and removal by the GAC materials, none of the three carbon types can be used alone to remove the full suite of observed polar and nonpolar organic compoundsen_US
dc.description.sponsorshipContract Number: SR08-049en_US
dc.identifier.urihttps://hdl.handle.net/10929/68527
dc.language.isoen_USen_US
dc.publisherTrenton, N.J. : Department of Environmental Protection, Division of Science, Research and Environmental Healthen_US
dc.relation.ispartofseriesResearch Project Summary;
dc.subjectDrinking water - Purificationen_US
dc.subjectOrganic compounds - Analysisen_US
dc.subjectDrinking water - Analysisen_US
dc.subjectDrinking water - Organic compound contenten_US
dc.titleDetermination of Organic Compound Classes Using Research and Regulatory Analytical Techniques for the Demonstration Project: Research Project Summaryen_US
dc.typeOtheren_US

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