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Evaluation of Sampling Conditions in the Carbon Adsorption Method
Author(s) -
Booth Robert L.,
English John N.,
McDermott Gerald N.
Publication year - 1965
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/j.1551-8833.1965.tb01389.x
Subject(s) - carbon fibers , adsorption , total organic carbon , yield (engineering) , extraction (chemistry) , chemistry , chloroform , sampling (signal processing) , activated carbon , contamination , alcohol , environmental science , environmental chemistry , chromatography , mathematics , organic chemistry , materials science , computer science , ecology , filter (signal processing) , algorithm , composite number , biology , metallurgy , computer vision
This article discusses the carbon adsorption method (CAM) as a useful approach in studying the nature and quantity of synthetic organic chemicals in water. In this technique, organic contaminants are removed from water by adsorption on columns of activated carbon. The sampling rate is normally 0.5 gpm, which is comparable to about 10.2 gallons per square foot per minute. The contaminants are desorbed from the carbon by sequential extraction with chloroform and alcohol and concentrated to yield a carbon chloroform extract (CCE) and a carbon alcohol extract (CAE). An assumption in the proposed experiments was that comparable results would be obtained from carbon columns operated similarly in parallel. An additional experimental run showed the variation between parallel carbon columns to be plus or minus 2 per cent. Next, a series of experiments was carried out with sampling rates and volumes varied. The loaded carbon samples were extracted by the standard procedure, and the resulting extracts were compared on a basis of concentration per unit of flow through. These data emphasize the importance of contact time and show that both lower sampling rates and volumes are desirable for maximum yield utilization of the CAM as a monitoring technique to measure organic contaminants in water.