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Optimization of LC-MS/MS for the Analysis of Sulfamethoxazole by using Response Surface Analysis  

Bae, Hyo-Kwan (Center for Environmental Technology Research, KIST)
Jung, Jin-Young (Center for Environmental Technology Research, KIST)
Publication Information
Journal of Korean Society of Environmental Engineers / v.31, no.9, 2009 , pp. 825-830 More about this Journal
Abstract
Pharmaceutical compounds enter the water environment through the diverse pathways. Because their concentration in the water environment was frequently detected in the level of ppt to ppb, the monitoring system should be optimized as much as possible for finding appropriate management policies and technical solutions. One Factor At a Time (OFAT) approach approximating the response with a single variable has been preferred for the optimization of LC-MS/MS operational conditions. However, it is common that variables in analytical instruments are interdependent. Therefore, the best condition could be found by using the statistical optimization method changing multiple variables at a time. In this research, response surface analysis (RSA) was applied to the LC-MS/MS analysis of emerging antibiotic compound, sulfamethoxazole, for the best sensitivity. In the screening test, fragmentation energy and collision voltage were selected as independent variables. They were changed simultaneously for the statistical optimization and a polynomial equation was fit to the data set. The correlation coefficient, $R^2$ valuerepresented 0.9947 and the error between the predicted and observed value showed only 3.41% at the random condition, fragmentation energy of 60 and collision voltage of 17 eV. Therefore, it was concluded that the model derived by RSA successfully predict the response. The optimal conditions identified by the model were fragmentation energy of 116.6 and collision voltage of 10.9 eV. This RSA can be extensively utilized for optimizing conditions of solid-phase extraction and liquid chromatography.
Keywords
LC-MS/MS; Sulfamethoxazole; Statistical Optimization; Response Surface Analysis; Antibiotics;
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1 Ternes, T. A., “Occurrence of drugs in German sewage treatment plants and rivers,” Water Res., 32, 3245-3260(1998)   DOI   ScienceOn
2 Batt, A. L., Kim, S., and Aga, D. S., “Comparison of the occurrence of antibiotics in four full-scale wastewater treatment plants with varying designs and operations,” Chemosphere, 68, 428-435(2007)   DOI   ScienceOn
3 신선경, 황승률, 송기봉, 강영렬, “국내 환경 중 의약물질 현황 및 향후 관리방안,” 2008년도 한국환경농학회 추계워크샵 자료집, pp. 3-15(2008)   과학기술학회마을
4 US FDA, “Guidance for Industry; Environmental Assessment for Human Drug and Biologics Applications” (2008)
5 Riter, L. S., Vitek, O., Gooding, K. M., Hodge, B. D., and Julian, R. K. Jr., “Statistical design of experiments as a tool in mass spectrometry,” J. Mass Spectrom., 40, 565-579(2005)   DOI   ScienceOn
6 Hirsch, R., Ternes, T., Haberer, K., and Kratz, K-L., “Occurrence of antibiotics in the aquatic environment,” Sci. Total Environ., 255, 109-118(1999)
7 Kim, S. D., Cho, J., Kim, I. S., Vanderford, B. J., and Snyder, S. A., “Occurrence and removal of pharmaceuticals and endocrine disruptors in South Korean surface, drinking, and waste waters,” Water Res., 41, 1013-1021(2007)   DOI   ScienceOn