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Luna Azul

versión impresa ISSN 1909-2474

Resumen

CHAMORRO BOLANOS, XIMENA; RODRIGUEZ MARTINEZ, GLORIA; ENRIQUEZ BRAND, ALBA LUCY  y  ROSERO MOREANO, MILTON. ASSEMBLY AND VALIDATION BY THE METHOD OF COMBUSTION ANALYSIS AND NONDISPERSIVE INFRARED DETECTION FOR DETERMINING TOTAL ORGANIC CARBON (TOC) IN WATER. Luna Azul [online]. 2010, n.30, pp.10-23. ISSN 1909-2474.

The technique of combustion analysis and detection by non-dispersive infrared (NDIR) was validated for the determination of organic matter in water, quantified as total organic carbon (TOC). Previously optimized the elimination of inorganic carbon (IC) of the sample with an optimum time sparge of 1.5 min and an acid ratio of 5%. It established a linear dynamic range (LDR) between 3 and 20 mg/L of TOC, in which the regression line that met the parameters credited its linearity as analyzed by the method of least squares, showing a correlation coefficient of 0,9994. The sensitivity expressed by the slope of the regression line indicated a variation of about 5 units in the detector response for each mg/L of TOC. The detection and quantification limits obtained from the regression line were 0.517 and 1.722 mg/L of TOC, respectively. The precision of the technique, aiming at 5% coefficient of variation (CV) was better in the drinking water at concentrations close to it (about 7 mg/L of TOC), whereas larger deviations were presented at concentrations near the lower and upper limits of LDR. The recoveries of known concentrations of actual samples of 85% additions were low addition and 83% with high added values that suggest a reevaluation of the performance of the technique with respect to its accuracy, however the goal was reached between recovery 70 to 130%. The technique is well established thereby capable of analyzing raw water, drinking and waste and feasible to use in monitoring advanced oxidation processes applied in the treatment of drinking water.

Palabras clave : Validation; Total Organic Carbon; Homoscedasticity; Detection Limit; Quantification Limit.

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