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Application Of The Continuous Flow Analyzer In Detecting Water Samples

Posted on:2016-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:X J WangFull Text:PDF
GTID:2271330470968749Subject:Analytical Chemistry
Abstract/Summary:PDF Full Text Request
Daily monitoring of water quality is one of the important tasks at all levels Center for Disease Control and Prevention. Each year the hundreds of water quality monitoring and commissioned testing work were undertaken by Center for Disease Control and Prevention. While the determination of cyanide, volatile phenol, anionic detergent in drinking water and urea in swimming pool water were all adopt traditional manual operation in existing national standards. Found in the exercise work, with the disadvantages of tedious preparation, low detection efficiency, long cycle analysis and reagents toxicity, it can not fully meet the testing requirements, or quickly provide test results, affecting the work completed successfully,when emergencies occured. Therefore, it is very necessary in practical work, to build simple and efficient methods for the determination of volatile phenol, cyanide, anion detergent in drinking water and urea in swimming pool waterIn this paper, the simultaneous determination of cyanide, volatile phenol, anionic detergent in drinking water and urea in swimming pool water by Continuous Flow Analyzer were studied. The results were as follows.1.The method of simultaneously determing cyanide, volatile phenol and anionic detergent in drinking water was optimized, evaluated and applied in real sample detection. Under the optimum experimental conditions, the linear relationships of cyanide, volatile phenol and anionic detergent were 0-0.20 mg/L, 0-0.020 mg/L and 0-1.0 mg/L. The limit of detections were respectively 4.0 μg/L, 0.40 μg/L and 9.4 μg/L. The quantity of sample needed is only 1% of traditional method, and also the minimum detection quality was about 250 times lower. Moreove, the usage of reagent decreased 80% on the basis of traditional methods. The consumption of strong carcinogenic reagent chloroform was significantly reduced. On account of the chemical reaction process occured in a closed system, environmental pollution can also be lowered. As a result, the security of people working in experiment was provided. The time of detecting a single sample dropped to a few minutes from the original tens of minutes. As on of the biggest advantages, it is more suitable of detecting large quantities of samples.2. The method of determining urea in swimming pool water was optimized, evaluated and applied in real sample detection. In the range of 0-1.50 mg/L, the concentration had a good linear relationship with the response. Correlation coefficient and correlation coefficient were respectively 0.9992 and 17.8μg/L. Under the optimum experimental conditions, the method of sample quantity used is 20% of traditional methods and the minimum detection quality was 10 times lower than traditional methods. The consumption of reagent decreased 60%, comparing with traditional methods. And also the completion time is reduced to a few minutes. Because of online integrated processing and automation operation, water bath heating can be saved. The chemical reaction process occured in a closed system, environmental pollution can also be lowered. With the high efficient, the method was especially applied in monitoring seasonal mass samples.In a conclusion, in this paper, the method of continuous flow analyzer determination in drinking water, volatile phenol and cyanide anion detergent and urea in swimming pool water was optimize, and the performance of the method was evaluated. Importantly, as a new technique, it provided a strong guarantee for public drinking water and swimming pool water safety. At the same time, the promotion method provided a new approach for water quality testing, and the technique of continuous flow analysis was also applied to other test items and more fields.
Keywords/Search Tags:Continuous Flow Analyzer, Volatile phenol, Cyanide, Anionic Surfactant, Urea
PDF Full Text Request
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