BIOREMEDIATION OF OIL-CONTAMINATED SOIL USING EMULSIFIER (LIQUID SOAP), NPK FERTILIZER AND MICROBIAL (BACILLUS SP) TREATMENT | Blazingprojects Postgraduate Thesis
Home / Chemistry / BIOREMEDIATION OF OIL-CONTAMINATED SOIL USING EMULSIFIER (LIQUID SOAP), NPK FERTILIZER AND MICROBIAL (BACILLUS SP) TREATMENT

BIOREMEDIATION OF OIL-CONTAMINATED SOIL USING EMULSIFIER (LIQUID SOAP), NPK FERTILIZER AND MICROBIAL (BACILLUS SP) TREATMENT

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objective of Study
  • 1.5Limitation of Study
  • 1.6Scope of Study
  • 1.7Significance of Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Overview of Bioremediation
  • 2.2Oil Contamination in Soil
  • 2.3Emulsifier as a Remediation Agent
  • 2.4NPK Fertilizer in Bioremediation
  • 2.5Microbial Treatment with Bacillus sp.
  • 2.6Effectiveness of Combined Treatments
  • 2.7Case Studies on Oil-Contaminated Soil Remediation
  • 2.8Environmental Impacts of Bioremediation
  • 2.9Challenges in Bioremediation Technologies
  • 2.10Future Trends in Bioremediation Research

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Methodology Overview
  • 3.2Study Design and Rationale
  • 3.3Sampling Techniques
  • 3.4Data Collection Methods
  • 3.5Experimental Setup
  • 3.6Treatment Application Procedures
  • 3.7Data Analysis Techniques
  • 3.8Quality Control Measures

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Analysis of Research Findings
  • 4.2Comparison of Treatment Effects
  • 4.3Quantitative Results Interpretation
  • 4.4Qualitative Observations Discussion
  • 4.5Statistical Analysis of Data
  • 4.6Correlation Analysis
  • 4.7Discussion on Treatment Efficiency
  • 4.8Implications for Bioremediation Practices

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Conclusion and Summary
  • 5.2Recap of Research Objectives
  • 5.3Key Findings Recap
  • 5.4Contributions to Existing Knowledge
  • 5.5Recommendations for Future Studies
  • 5.6Practical Applications of Research
  • 5.7Conclusion Statement
  • 5.8Acknowledgments and References

Thesis Abstract

Two different set of soil samples were collected near Kaduna Refining and Petrochemical Company Limited (KRPC), a Subsidiary of Nigerian National Petroleum Corporation (NNPC) Kaduna. The first set of samples labelled (D) was obtained from areas where diesel from the refinery spilled into the environment and the second set of samples labelled (P) was collected from areas where petrol leaked and spilled into the environment. The pH of the soil was found to be 5.9 and 6.2 for D and P samples respectively. The cation exchange capacity (CEC) was higher in sample P than in sample D (32.0 and 30.0 mmol/kg of soil respectively). P has high concentrations of cations (Ca2+, Mg2+, K+ and Na+ with concentration values 3.6, 1.17, 0.50 and 0.22 mol/kg respectively) because of its high CEC while sample D with a lower CEC has a lower concentration of cation (Ca2+, Mg2+, K+ and Na+ with concentration values 1.20, 0.27, 0.25 and 0.17 mol/kg respectively). The oil (contaminant) was extracted in dichloromethane and a GC-MS analysis was run to determine the nature (composition) of the oil and the concentration of the contaminant was determined using gravimetric method. Results revealed that the total concentration of the contaminant (oil) before treatment was 398 g/kg and 194 g/kg for sample D and P respectively. The GC-MS results obtained showed that in both samples (D and P) linear and branched alkanes(n-Tetratetracontane, 3,6-Dimethyl Decane, n-Pentadecane, 2-Bromodecane, n-Heptadecane etc. and n-Tetradecane, 2-Bromododecane, n-Octadecane, 14-Methyl-8-hexadecenal etc. respectively) were the main contaminants. Bioremediation was initiated and examined by applying separately fertilizer (F), bacteria inoculation (B), emulsifier (E) on the contaminated soil and by combining bacteria inoculation and fertilizer (B and F), fertilizer and emulsifier (F and E), bacteria inoculation and emulsifier (B and E) also a combination of bacteria inoculation, emulsifier and fertilizer (B,E and F) on both sample D and P . Bioremediation was determined by weight loss method throughout the 28 days of treatment and the trend of degradation is thus (B, E and F) > B > ( B and E ) > (B and F) > (E and F) > E > F. Results obtained showed that treatment with B,E and F combined together yielded the highest percentage of oil degradation (97%, and 95% for samples P and D respectively), followed by B (96% and 81% for samples D and P respectively). This finding suggests that Bacillus sp is a viable microbial strain for bioremediation of oil-contaminated soil when bile stimulated by adding fertilizer combined with emulsification (B, E and F). The percentage of oil degraded in sample P and D are almost the same (97 and 95% respectively) and there is significant difference (P < 0.05) in the trend of degradation for D and P this may be because, even though the samples contained oil (contaminant) with almost the same composition but differ in the number of carbon chain and other physical factors like density, viscosity etc.

Thesis Overview

One of the major environmental problems in the world today is hydrocarbon contamination resulting from the activities related to the petrochemical industry. In Nigeria, oil pollution problems have been prevalent since the commencement of oil exploration and development of the petroleum industry (Okoh et al., 2001). Accidental release of petroleum products are of particular concern in the environment. Hydrocarbon components have been known to belong to the family of carcinogens and neurotoxic organic pollutants. Currently accepted disposal methods of incineration or burial insecure landfills can become prohibitively expensive when amounts of contaminants are large. The deleterious effect of pollutants on the environment has led to increased awareness and vigilance against contamination of the Niger Delta environment. In relatively recent times in Nigeria, there has been remarkable increase in population, urbanization and industrial activities, (Eze and Okpokwasili, 2010). The release of crude oil into the environment by oil spills is receiving worldwide attention (Millioli et al., 2009). Bioremediation which has been defined as biological response to environmental abuse has continued to receive research attention across the globe (Hammer, 1993). Bioremediation has been described as the use of living microorganisms to degrade environmental pollution. In order words, it is a technology for removing pollutants from the environment thus restoring the original natural environment (Sasikuma and Papmazath, 2003). The long term aim of bioremediation designs is to present cost effective designs which reduces the pollutant to a level referred to as low as reasonable and practicably possible (ALARP). In order to achieve this cost effectiveness, researchers all over the world have begun to pay research attention to the use of organic waste as the source of limiting nutrients for effective bioremediation (Ibiene et al., 2011).
Mechanical and chemical methods generally used to remove hydrocarbons from contaminated sites have limited effectiveness and can be expensive (Das and Chandran, 2011). Bioremediation is the promising technology for the treatment of these contaminated sites since it is cost-effective and will lead to complete mineralization. Bioremediation functions basically on biodegradation, which may refer to complete mineralization of organic contaminants into carbon dioxide, water, inorganic compounds, and cell protein or transformation of complex organic contaminants to other simpler organic compounds by biological agents like microorganisms (Das and Preethy, 2010). Many indigenous microorganisms in water and soil are capable of degrading hydrocarbon contaminants.

Blazingprojects Mobile App

📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Adult education. 2 min read

Evaluating the Effectiveness of Mobile Learning Platforms in Adult Vocational Educat...

This research aims to examine how effective mobile learning platforms are in supporting adult learners in vocational education settings. In recent years, mobile...

BP
Blazingprojects
Read more →
Zoology. 3 min read

Utilizing Machine Learning for Automated Species Identification in Biodiversity Moni...

This research focuses on developing a computer-based system that can automatically identify different species of animals and plants using machine learning techn...

BP
Blazingprojects
Read more →
Veterinary Medicine. 4 min read

Development of a Mobile App for Real-Time Disease Surveillance in Livestock...

This research focuses on creating a mobile application that allows farmers, veterinarians, and other livestock stakeholders to quickly report and monitor diseas...

BP
Blazingprojects
Read more →
Urban and Regional P. 4 min read

Smart Mobility Hubs for Sustainable Urban Traffic Management...

This research focuses on developing and understanding the role of smart mobility hubs in making urban transportation more sustainable and efficient. Urban areas...

BP
Blazingprojects
Read more →
Theatre Art. 3 min read

Augmented Reality Enhancements for Immersive Theatre Experiences...

This research focuses on using augmented reality (AR) technology to improve and enhance live theatre experiences, making them more immersive and engaging for au...

BP
Blazingprojects
Read more →
Technical education. 4 min read

Developing an AI-Driven Virtual Lab Platform for Technical Skill Acquisition...

This research focuses on creating an advanced virtual laboratory platform that uses artificial intelligence (AI) to help students develop technical skills in fi...

BP
Blazingprojects
Read more →
Surveying and Geo-in. 4 min read

Development of an AI-Enhanced Mobile GIS for Urban Land Use Mapping...

This research focuses on creating a new tool that combines artificial intelligence (AI) with mobile Geographic Information Systems (GIS) to improve how urban la...

BP
Blazingprojects
Read more →
Statistics. 4 min read

Developing Predictive Models for Healthcare Outcomes Using Machine Learning and Elec...

This research focuses on creating computer-based models that predict healthcare outcomes, such as patient readmission, disease progression, or treatment success...

BP
Blazingprojects
Read more →
Soil Science. 4 min read

Developing a IoT-based Sensor Network for Real-Time Soil Nutrient Monitoring...

This research is about creating a system that uses the Internet of Things (IoT) to monitor soil nutrients in real-time. Soil nutrients like nitrogen, phosphorus...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us