Author:
Qin Guofu,Zou Keting,He Fengrui,Shao Ji,Zuo Bei,Liu Jia,Liu Ruixiao,Yang Bixia,Zhao Guipeng
Abstract
AbstractThis study developed a method for the simultaneous determination of volatile phenol, cyanide, anionic surfactant, and ammonia nitrogen in drinking water, using a continuous flow analyzer. The samples were first distilled at 145 °C. The phenol in the distillate then subsequently reacted with alkaline ferricyanide and 4-aminoantipyrine to form a red complex that was measured colorimetrically at 505 nm. Cyanide in the distillate subsequently reacted with chloramine T to form cyanogen chloride, which then formed a blue complex with pyridinecarboxylic acid that was measured colorimetrically at 630 nm. The anionic surfactant reacted with basic methylene blue to form a compound that was extracted into chloroform and washed with acidic methylene blue to remove interfering substances. The blue compound in chloroform was determined colorimetrically at 660 nm. Ammonia reacted with salicylate and chlorine from dichloroisocyanuric acid to produce indophenol blue at 37 °C in an alkaline environment that was measured at 660 nm. The relative standard deviations were 0.75–6.10% and 0.36–5.41%, respectively, and the recoveries were 96.2–103.6% and 96.0–102.4% when the mass concentration of volatile phenol and cyanide was in the range of 2–100 μg/L. The linear correlation coefficients were ≥ 0.9999, and the detection limits were1.2 μg/L and 0.9 μg/L, respectively. The relative standard deviations were 0.27–4.86% and 0.33–5.39%, and the recoveries were 93.7–107.0% and 94.4–101.7%. When the mass concentration of anionic surfactant and ammonia nitrogen was 10–1000 μg/L. The linear correlation coefficients were 0.9995 and 0.9999, and the detection limits were 10.7 μg/L and 7.3 μg/L, respectively. When compared to the national standard method, no statistically significant difference was found. This approach saves time and labor, has a lower detection limit, higher precision and accuracy, less contamination, and is more appropriate for the analysis and determination of large-volume samples.
Funder
Hangzhou medical and health science and technology project
Natural Science Foundation of Shaanxi Province, China
Publisher
Springer Science and Business Media LLC
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