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Modeling Applications in Bioremediation of Hydrocarbon Pollutants

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Microbial Action on Hydrocarbons

Abstract

This chapter addressed various statistical and modeling techniques that have been recently employed for studying the bioremediation of hydrocarbon pollutants. Isotherm adsorption models such as Temkin, Freundlich, Langmuir, and Dubinin-Radushkevich were used for describing the removal of hydrocarbon contaminants from aqueous phases. Statistical techniques, viz., regression analysis, quadratic model, and response surface methodology, were performed to demonstrate the effects of operational conditions on the remediation of water contaminated with hydrocarbon. Artificial intelligence including artificial neural network (ANN) and fuzzy inference system (FIS) was also presented as a black-box model for the prediction of hydrocarbon removal efficiencies. In addition, this chapter included literature studies that have implemented advanced modeling techniques within the field of hydrocarbon bioremediation.

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References

  • Alalm MG, Nasr M, Ookawara S (2016) Assessment of a novel spiral hydraulic flocculation/sedimentation system by CFD simulation, fuzzy inference system, and response surface methodology. Sep Purif Technol 169:137–150

    Article  Google Scholar 

  • Aljeboree AM, Alkaim AF, Alshirifi AN (2014) Kinetics and equilibrium study for the adsorption of textile dyes on coconut shell activated carbon. Arab J Chem 10:S3381–S3393 Articles in press

    Article  Google Scholar 

  • Angelova D, Uzunov I, Uzunova S, Gigova A, Minchev L (2011) Kinetics of oil and oil products adsorption by carbonized rice husks. Chem Eng J 172:306–311

    Article  CAS  Google Scholar 

  • Ateia M, Nasr M, Yoshimura C, Fujii M (2015) Organic matter removal from saline agricultural drainage wastewater using a moving bed biofilm reactor. Water Sci Technol 72:1327–1333

    Article  CAS  Google Scholar 

  • Bas D, Boyacı IH (2007) Modeling and optimization I: usability of response surface methodology. J Food Eng 78:836–845

    Article  CAS  Google Scholar 

  • Boparai HK, Joseph M, O’Carroll DM (2011) Kinetics and thermodynamics of cadmium ion removal by adsorption onto nano zerovalent iron particles. J Hazard Mater 186:458–465

    Article  CAS  Google Scholar 

  • Elhalil A, Tounsadi H, Elmoubarki R, Mahjoubi FZ, Farnane M, Sadiq M, Abdennouri M, Qourzal S, Barka N (2016) Factorial experimental design for the optimization of catalytic degradation of malachite green dye in aqueous solution by Fenton process. Water Resour Ind 15:41–48

    Article  Google Scholar 

  • Fawzy M, Nasr M, Adel S, Nagy H, Helmi S (2016a) Environmental approach and artificial intelligence for Ni(II) and Cd(II) biosorption from aqueous solution using Typha domingensis biomass. Ecol Eng 95:743–752

    Article  Google Scholar 

  • Fawzy M, Nasr M, Helmi S, Nagy H (2016b) Experimental and theoretical approaches for Cd(II) biosorption from aqueous solution using Oryza sativa biomass. Int J Phytoremediation 18:1096–1103

    Article  CAS  Google Scholar 

  • Fawzy M, Nasr M, Nagy H, Helmi S (2017) Artificial intelligence and regression analysis for Cd(II) ion biosorption from aqueous solution by Gossypium barbadense waste. Environ Sci Pollut Res v25 n6: 5875-5888. (Article in press)

    Google Scholar 

  • Freundlich HMF (1906) Over the adsorption in solution. J Phys Chem 57:385–470

    CAS  Google Scholar 

  • Gupta SK, Ansari FA, Nasr M, Rawat I, Nayunigari MK, Bux F (2017) Cultivation of Chlorella sorokiniana and Scenedesmus obliquus in wastewater: fuzzy intelligence for evaluation of growth parameters and metabolites extraction. J Clean Prod 147:419–430

    Article  CAS  Google Scholar 

  • Hutson ND, Yang RT (1997) Theoretical basis for the Dubinin-Radushkevich (D-R) adsorption isotherm equation. Adsorption 3:189–195

    Article  CAS  Google Scholar 

  • Ibrahim S, Wang S, Ang HM (2010) Removal of emulsified oil from oily wastewater using agricultural waste barley straw. Biochem Eng J 49:78–83

    Article  CAS  Google Scholar 

  • Langmuir I, Waugh DF (1940) Pressure-soluble and pressure-displaceable components of monolayers of native and denatured proteins. J Am Chem Soc 62:2771–2793

    Article  CAS  Google Scholar 

  • Li X, Zhang C, Liu J (2010) Adsorption of oil from waste water by coal: characteristics and mechanism. Min Sci Technol (China) 20:778–781

    Article  CAS  Google Scholar 

  • Nasr M, Ismail S (2015) Performance evaluation of sedimentation followed by constructed wetlands for drainage water treatment. Sustain Environ Res 25:141–150

    CAS  Google Scholar 

  • Nasr M, Moustafa M, Seif H, El-Kobrosy G (2014) Application of fuzzy logic control for benchmark simulation model. 1. Sustain Environ Res 24:235–243

    Google Scholar 

  • Nasr M, Mahmoud AED, Fawzy M, Radwan A (2017) Artificial intelligence modeling of cadmium(II) biosorption using rice straw. Appl Water Sci 7:823–831

    Article  CAS  Google Scholar 

  • Nwadiogbu JO, Ajiwe VIE, Okoye PAC (2016) Removal of crude oil from aqueous medium by sorption on hydrophobic corncobs: equilibrium and kinetic studies. J Taibah Univ Sci 10:56–63

    Article  Google Scholar 

  • Okiel K, El-Sayed M, El-Kady MY (2011) Treatment of oil–water emulsions by adsorption onto activated carbon, bentonite and deposited carbon. Egypt J Pet 20:9–15

    Article  CAS  Google Scholar 

  • Olawoyin R (2016) Application of backpropagation artificial neural network prediction model for the PAH bioremediation of polluted soil. Chemosphere 161:145–150

    Article  CAS  Google Scholar 

  • Pakravan P, Akhbari A, Moradi H, Azandaryani AH, Mansouri AM, Safari M (2015) Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube. Appl Petrochem Res 5:47–59

    Article  CAS  Google Scholar 

  • Panja P, Velasco R, Pathak M, Deo M (2017) Application of artificial intelligence to forecast hydrocarbon production from shales. Petroleum v4 n1: 75-89 .(Article in press)

    Google Scholar 

  • Rasheed A, Farooq F, Rafique U, Nasreen S, Ashraf MA (2016) Analysis of sorption efficiency of activated carbon for removal of anthracene and pyrene for wastewater treatment. Desalin Water Treat 57:145–150

    CAS  Google Scholar 

  • Sanusi SNA, Halmi MIE, Abdullah SRS, Hassan HA, Hamzah FM, Idris M (2016) Comparative process optimization of pilot-scale total petroleum hydrocarbon (TPH) degradation by Paspalum scrobiculatum L. hack using response surface methodology (RSM) and artificial neural networks (ANNs). Ecol Eng 97:524–534

    Article  Google Scholar 

  • San-Valero P, Penya-roja JM, Álvarez-Hornos FJ, Marzal P, Gabaldón C (2015) Dynamic mathematical modelling of the removal of hydrophilic VOCs by biotrickling filters. Int J Environ Res Public Health 12:746–766

    Article  Google Scholar 

  • Saruchi KV (2016) Adsorption kinetics and isotherms for the removal of rhodamine B dye and Pb ions from aqueous solutions by a hybrid ion-exchanger. Arab J Chem. https://doi.org/10.1016/j.arabjc.2016.11.009

  • Sivagurunathan M, Martin AM, Helleur RJ (2003) Biological waste-treatment of hydrocarbon residues: effects of humic acids on the degradation of toluene. Appl Energy 75:267–273

    Article  CAS  Google Scholar 

  • Srinivasan A, Viraraghavan T (2008) Removal of oil by walnut shell media. Bioresour Technol 99:8217–8220

    Article  CAS  Google Scholar 

  • Srinivasan A, Viraraghavan T (2010a) Oil removal from water by fungal biomass: a factorial design analysis. J Hazard Mater 175:695–702

    Article  CAS  Google Scholar 

  • Srinivasan A, Viraraghavan T (2010b) Oil removal from water using biomaterials. Bioresour Technol 101:6594–6600

    Article  CAS  Google Scholar 

  • Tansel B, Regula J (2008) Coagulation enhanced centrifugation for treatment of petroleum hydrocarbon contaminated waters. J Environ Sci Health A Tox Hazard Subst Environ Eng 35:1557–1575

    Article  Google Scholar 

  • Temkin MI (1941) Adsorption equilibrium and the kinetics of processes on non-homogeneous surfaces and in the interaction between adsorbed molecules. Zhurnal Fiziche – skoi Khimii 15:296–332

    CAS  Google Scholar 

  • Vaferi B, Bahmani M, Keshavarz P, Mowla D (2014) Experimental and theoretical analysis of the UV/H2O2 advanced oxidation processes treating aromatic hydrocarbons and MTBE from contaminated synthetic wastewaters. J Environ Chem Eng 2:1252–1260

    Article  CAS  Google Scholar 

  • Zadeh LA (1997) Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets Syst 90:111–127

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Sanitary Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt

    Mahmoud Nasr

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  1. Mahmoud Nasr
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Editor information

Editors and Affiliations

  1. Himalayan School of Biosciences, Swami Rama Himalayan University, Dehradun, Uttarakhand, India

    Vivek Kumar

  2. Centre for Life Sciences, Central University of Jharkhand, Ranchi, Jharkhand, India

    Manoj Kumar

  3. Amity Institute of Microbial Technology, Amity University, Noida, Uttar Pradesh, India

    Ram Prasad

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Nasr, M. (2018). Modeling Applications in Bioremediation of Hydrocarbon Pollutants. In: Kumar, V., Kumar, M., Prasad, R. (eds) Microbial Action on Hydrocarbons. Springer, Singapore. https://doi.org/10.1007/978-981-13-1840-5_8

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