Assessment of ecotoxicity of spent fluid catalytic cracking (FCC) refinery catalysts on Raphidocelis subcapitata and predictive models for toxicity

Abstract

The 17 spent fluid catalytic cracking refinery catalysts (SFCCCs) from different petroleum refineries were collected and the leachates of SFCCCs were prepared. The ecotoxicity of SFCCC leachates to Raphidocelis subcapitata was assayed. The results showed that the toxicity of the 17 SFCCCs differ greatly. Ji SFCCC was the most toxic to R. subcapitata with a 96 h EC₅₀ value of 1.38%, while Ha SFCCC was the least toxic, with the EC₅₀ value was >100%. The relationships between the toxicity of SFCCCs and the metal concentrations in leachates were analyzed. The concentration of Ni (p = 0.001), La (p = 0.001), Mn (p = 0.014), Ce (p = 0.017), Co (p = 0.018), and Ca (p = 0.031) in leachates showed significant correlation with EC₅₀ values. The predictive model for the ecotoxicity of SFCCCs were established with the concentrations of Ni and La in leachates as: ln(EC₅₀) = 0.817 + exp(1.356 - 1.736 × C_Ni - 0.262 × C_La) (R² = 0.926). The main toxic ingredients of SFCCC to microalgae were identified for the first time in this work. The results and predictive model of this study are significance for toxicity determination and management of SFCCCs.

Keywords: Correlation analysis; Microalgae; Spent FCC refinery catalysts; Toxicity; Toxicity prediction model.