Abstract—Nuclear energy plays a key role in long-term development plans and can guarantee the supply of electricity to some regions. On the other hand, the implementation of these projects tends to require long maturation periods, require high investment costs and may be a source of pollutants, such as Lead (Pb). For this reason, the periodic environmental monitoring of the concentration of pollutants becomes necessary, according to the current legislation. Thus, the present work presents as a proposal a method of optimization of Pb quantification in environmental analyzes. The study was developed through the monitoring of wastewater samples from INB – Indústrias Nucleares do Brasil. From the Fractional Factorial Design(FFD) the most representative variables of the Pb isolation process were determined, and through the Central Composite Design (CCD) the response surface was found, generating a regression model that represents the system. The results indicated that the optimization of the chemical yield of Pb is associated to the higher dosages of Nitrilotriacetic Acid (NTA) and Sulfuric Acid (H2SO4) in the samples. The optimum yield condition was obtained in the region of 200 ml of H2SO4 and 4.0 g of NTA, considering the range tested. The proposal proved to be effective for the validation tests of the model, obtaining an increase of up to 32% in the Pb yields of the analyzes.
Keywords—Chemical Yield, Environmental Analyzes, Lead, Nuclear Power, Response Surface.
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