4.7 Article

Actinobacteria consortium as an efficient biotechnological tool for mixed polluted soil reclamation: Experimental factorial design for bioremediation process optimization

Journal

JOURNAL OF HAZARDOUS MATERIALS
Volume 342, Issue -, Pages 408-417

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhazmat.2017.08.041

Keywords

Bioremediation; Soil; Actinobacteria; Lindane; Chromium; Factorial design

Funding

  1. Consejo de Investigaciones de la Universidad Nacional de Tucuman (CIUNT) [PIUNT D504]
  2. Agencia Nacional de Promocion Cientifica y Tecnologica (ANPCyT) (PICT) [0141]
  3. Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) PIP [112-201101-00085]
  4. Consejo Nacional de Investigaciones Cientlficas y Tecnicas - YPF Foundation [PIO 24320170100003CO]

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The objective of the present work was to establish optimal biological and physicochemical parameters in order to remove simultaneously lindane and Cr(VI) at high and/or low pollutants concentrations from the soil by an actinobacteria consortium formed by Streptomyces sp. M7, MCI, A5, and Amycolatopsis tucumanensis ABO. Also, the final aim was to treat real soils contaminated with Cr(VI) and/or lindane from the Northwest of Argentina employing the optimal biological and physicochemical conditions. In this sense, after determining the optimal inoculum concentration (2 g kg(-1)), an experimental design model with four factors (temperature, moisture, initial concentration of Cr(VI) and lindane) was employed for predicting the system behavior during bioremediation process. According to response optimizer, the optimal moisture level was 30% for all bioremediation processes. However, the optimal temperature was different for each situation: for low initial concentrations of both pollutants, the optimal temperature was 25 degrees C; for low initial concentrations of Cr(VI) and high initial concentrations of lindane, the optimal temperature was 30 degrees C; and for high initial concentrations of Cr(VI), the optimal temperature was 35 degrees C. In order to confirm the model adequacy and the validity of the optimization procedure, experiments were performed in six real contaminated soils samples. The defined actinobacteria consortium reduced the contaminants concentrations in five of the six samples, by working at laboratory scale and employing the optimal conditions obtained through the factorial design. (C) 2017 Elsevier B.V. All rights reserved.

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