Bioremediation of a petroleum hydrocarbon-contaminated Antarctic soil: Optimization of a biostimulation strategy using response-surface methodology (RSM)

被引:39
作者
Alvarez, L. M. Martinez [1 ,3 ]
Lo Balbo, A. [2 ]
Cormack, W. P. Mac [1 ,3 ]
Ruberto, L. A. M. [1 ,3 ]
机构
[1] CABA, Inst Antartico Argentino, Buenos Aires, DF, Argentina
[2] Univ Buenos Aires, CABA, Fac Farm & Bioquim, RA-1053 Buenos Aires, DF, Argentina
[3] Univ Buenos Aires, CABA, Inst Nanobiotecnol Conicet, RA-1053 Buenos Aires, DF, Argentina
关键词
Hydrocarbon-contaminated soil; Biostimulation; Response-surface methodology; Antarctica; MICROBIAL COMMUNITY; DIESEL OIL; N-ALKANES; BIODEGRADATION; TEMPERATURE; BIOAUGMENTATION; NITROGEN; SYSTEM; WATER;
D O I
10.1016/j.coldregions.2015.07.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Bioremediation is a biotechnological approach to clean up contaminated soils. Among bioremediation strategies, biostimulation is a simple method which involves the modification of the soil physicochemical conditions in order to enhance the biological degradation of contaminants. One of the most common ways to do this is by the addition of macronutrients, mainly Nitrogen (N) and Phosphorus (P). Optimization of the amounts of N and P for a soil biostimulation strategy represents a key step prior to its application to a full-scale process. In this work, the response-surface methodology (RSM) was applied to optimize a biostimulation process for a hydrocarbon-contaminated Antarctic soil, considering a Carbon:Nitrogen:Phosporus (C:N:P) ratio of 100:10:1 as a reference. A faced-centered central composite design was used to determine the levels of the variables that lead to the optimum response values. Flasks containing contaminated soil and receiving different N and P amounts were incubated at 15 degrees C for 80 days. Biological activity and hydrocarbon concentration were evaluated. Results predicted that for the soil used in this experiment, the addition of 0.183 g N/kg and 0.0179 g P/kg leads to the highest hydrocarbon removal efficiency. The resulting C:N:P ratio (100:17.6:1.73) was different from that taken as reference (100:10:1), highlighting the usefulness of such an optimization. The hydrocarbon concentration decreased from 1042 (+/- 73) mg kg(-1) to 470 (+/- 37) mg kg(-1) in the most efficient combination tested. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:61 / 67
页数:7
相关论文
共 50 条
  • [41] Optimization of petroleum refinery effluent treatment in a UASB reactor using response surface methodology
    Rastegar, S. O.
    Mousavi, S. M.
    Shojaosadati, S. A.
    Sheibani, S.
    JOURNAL OF HAZARDOUS MATERIALS, 2011, 197 : 26 - 32
  • [42] PHYTOREMEDIATION OF SOIL CONTAMINATED WITH NICKEL BY LEPIDIUM SATIVUM; OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY
    Mojiri, A.
    Aziz, H. Abdul
    Aziz, S. Qarani
    Selamat, M. R. B.
    Gholami, A.
    Aboutorab, M.
    GLOBAL NEST JOURNAL, 2013, 15 (01): : 69 - 75
  • [43] Optimization of microwave-vacuum drying of button mushrooms using response-surface methodology
    Giri, S. K.
    Prasad, Suresh
    DRYING TECHNOLOGY, 2007, 25 (4-6) : 901 - 911
  • [44] Optimization of a Confined Jet Geometry to Improve Film Cooling Performance Using Response Surface Methodology (RSM)
    Al-Hemyari, Mohammed
    Hamdan, Mohammad O.
    Orhan, Mehmet F.
    PROCESSES, 2020, 8 (02)
  • [45] Statistical modeling and optimization of the phosphorus biosorption by modified Lemna minor from aqueous solution using response surface methodology (RSM)
    Naghipour, Dariush
    Taghavi, Kamran
    Jaafari, Jalil
    Mahdavi, Yousef
    Ghozikali, Mohammad Ghanbari
    Ameri, Reza
    Jamshidi, Arsalan
    Mahvi, Amir Hossein
    DESALINATION AND WATER TREATMENT, 2016, 57 (41) : 19431 - 19442
  • [46] Optimization of Infrared Postharvest Treatment of Barhi Dates Using Response Surface Methodology (RSM)
    Abdelkarim, Diaeldin O.
    Ahmed, Khaled A.
    Younis, Mahmoud
    Yehia, Hany M.
    El-Abedein, Assem I. Zein
    Alhamdan, Abdulla
    Ahmed, Isam A. Mohamed
    HORTICULTURAE, 2022, 8 (04)
  • [47] Optimization of protein extraction from sesame seeds by using response surface methodology RSM
    Khalfallah, Roua
    Mechmeche, Manel
    Ksontini, Hamida
    Jmoui, Ines
    Hamdi, Moktar
    Kachouri, Faten
    NUTRIRE, 2024, 49 (01)
  • [48] Process optimization of butachlor bioremediation by Enterobacter cloacae using Plackett Burman design and response surface methodology
    Mohanty, Satya Sundar
    Jena, Hara Mohan
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2018, 119 : 198 - 206
  • [49] Modeling and optimization of PAHs contaminated soil remediation using green solvent in a continuous flow by response surface methodology
    Masoud Rabieian
    Farhad Qaderi
    Environment, Development and Sustainability, 2024, 26 : 12109 - 12132
  • [50] Optimization of Enterobacter cloacae (KU923381) for diesel oil degradation using response surface methodology (RSM)
    Sugumar Ramasamy
    Arumugam Arumugam
    Preethy Chandran
    Journal of Microbiology, 2017, 55 : 104 - 111