Abstract
dc:description.abstractThe objective of this study was to examine the potential of combining sonication with other technologies for monitoring specific classes of organic pollutants in water. The research specifically addressed using ultrasonic processors to decompose organochlorine compounds into ions which could be detected using a specific ion electrode as a screening method for organochlorine pollutants. Changes in chloride, conductivity, and pH were measured using commercially available equipment before and after sonication in order to detect the presence of the organochlorine pollutant. Chloride ion could be detected in aqueous solutions of low ppm concentrations of carbon tetrachloride, chloroform, and trichloroethylene after one minute sonication. The increases of Cl{dollar}\sp-{dollar} were accompanied by increases in conductivity and decreases of pH. Ion chromatography of solutions before and after sonication showed that formate ion was also formed. Aromatic and polyaromatic chloro compounds represented by chlorobenzene and polychlorobiphenyls, respectively, did not form chloride ion as readily as did carbon tetrachloride, chloroform, and trichloroethylene. The results achieved with the organochlorine compounds tested serve as proof-of-principle and form a base of information which can be used to develop ultrasound monitoring methods for these compounds. (Abstract shortened by UMI.).
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Chemistry
- Grantor dc:publisher
- University of Nevada, Las Vegas
- Year
- 1993
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Orzechowska, Grazyna Elzbieta
Rights
dc:rights- Statement dc:rights
-
- IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
- https://oasis.library.unlv.edu/rtds/330
- OAI identifier oai:identifier
- oai:oasis.library.unlv.edu:rtds-1329