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Disaster and Environmental Risk Management, Institute of Geoscience and Environmental Management, Rivers State University, Nkpolu Oroworukwo, Port Harcourt
Biocorrosion, also known as microbiologically influenced corrosion (MIC), is a major threat to metallic infrastructure in tropical environments due to the combined effects of microbial activity, salinity, humidity, and aggressive physicochemical conditions. This study comparatively evaluated the biocorrosion resistance of Carbon Steel, Copper, Zinc, and Aluminium in four tropical environments in Nigeria: Mangrove Swamp, Rainforest Soil, Riverine, and Coastal Marine habitats. Metal coupons were exposed under natural field conditions for ninety (90) days using the weight loss technique, supported by microbiological and physicochemical analyses. Environmental parameters including pH, salinity, chloride concentration, dissolved oxygen, and sulphate levels were determined alongside microbial populations associated with the metal surfaces. Significant differences in corrosion behaviour were observed among the metals and environments. Copper demonstrated the highest biocorrosion resistance across all environments with the lowest average corrosion rate (0.083 mm/year), followed by Aluminium (0.193 mm/year). Carbon Steel exhibited the highest corrosion rate (1.73 mm/year), particularly in the Coastal Marine environment (2.31 mm/year). The Coastal Marine and Mangrove Swamp environments recorded the highest corrosion severity due to elevated salinity, chloride concentration, and sulfate-reducing bacterial activity. Statistical analysis using ANOVA revealed highly significant differences among metal types, environmental conditions, and their interaction effects (p < 0.001). Correlation analysis further showed strong positive relationships between corrosion rates and chloride concentration/salinity (r = 0.81–0.84). The study demonstrates that environmental conditions strongly influence material durability in tropical ecosystems. Copper and Aluminium showed superior resistance and are therefore recommended for infrastructure applications in highly corrosive environments, whereas Carbon Steel requires effective protective measures. The findings provide valuable baseline information for corrosion management, infrastructure durability planning, and sustainable material selection in the Niger Delta region of Nigeria.
Biocorrosion, also known as microbiologically influenced corrosion (MIC), is a naturally occurring degradation process in which microbial activity accelerates the deterioration of metals in aqueous and soil environments. It is a complex electrochemical process influenced by environmental conditions, material properties, and microbial communities that colonize metal surfaces. Globally, MIC is responsible for significant economic losses in marine, oil and gas, and infrastructure sectors due to pipeline failure, equipment degradation, and structural instability (Little & Lee, 2007; Videla & Herrera, 2009; Xu et al., 2023; Ogboeli et al., 2024).
In coastal and tropical regions, corrosion is intensified by high humidity, elevated temperatures, salinity, and abundant microbial activity. These conditions are particularly prevalent in wetland ecosystems such as mangrove swamps, riverine floodplains, rainforest soils, and coastal marine environments. Such environments provide ideal conditions for sulfate-reducing bacteria (SRB), iron-oxidizing bacteria, and other microbial communities that facilitate electrochemical reactions leading to metal deterioration (Enning & Garrelfs, 2014; Lv et al., 2024; Nimame et al., 2026).
The Niger Delta is one of the most environmentally dynamic and industrially significant regions in West Africa due to its extensive oil and gas exploration activities. However, the region is also characterized by severe environmental degradation, including oil spills, gas flaring, and contamination of soil and water bodies. These anthropogenic activities increase the concentration of corrosive agents such as chlorides, sulphates, hydrocarbons, and heavy metals, which enhance both chemical and microbiological corrosion processes (Nduka & Orisakwe, 2011; Akpoveta et al., 2010; Ogboeli et al., 2024).
Studies have shown that coastal marine environments in the Niger Delta exhibit elevated chloride concentrations and salinity levels, which significantly accelerate pitting corrosion in susceptible metals such as carbon steel and zinc. Mangrove swamp environments, on the other hand, are rich in organic matter and anaerobic conditions that promote the growth of sulfate-reducing bacteria, which produce hydrogen sulfide (HâS) that is highly corrosive to metallic structures (Essien, et al., 2012; Melchers et al., 2021; Ogboeli et al., 2024; Nimame et al., 2026). Riverine and rainforest soil environments also contribute to corrosion processes through fluctuating moisture content, acidity variations, and microbial diversity.
Different engineering materials respond differently to these environmental stressors. Carbon steel, although widely used due to its mechanical strength and affordability, is highly susceptible to corrosion in aggressive environments. Zinc and aluminium provide moderate resistance due to their ability to form protective oxide layers; however, these layers can be compromised in chloride-rich or highly acidic conditions. Copper and its alloys are generally considered more corrosion-resistant due to their noble electrochemical properties and antimicrobial activity, which inhibits microbial colonization and biofilm formation (Frankel, 1998; Jia et al., 2019; Revie & Uhlig, 2008).
The protective behavior of metals is strongly linked to passivation mechanisms. Aluminium forms a stable oxide layer (AlâOâ), which provides initial protection but is vulnerable to localized pitting in chloride-rich environments. Copper, in contrast, forms a stable patina composed of copper oxides and carbonates that offers long-term protection in both atmospheric and aquatic conditions. This makes copper particularly suitable for marine and microbial-rich environments where biofouling and MIC are dominant concerns.
In Nigeria, particularly within the Niger Delta region, infrastructure such as pipelines, offshore platforms, jetties, and storage tanks are constantly exposed to aggressive environmental conditions. The combination of industrial pollution and natural wetland characteristics creates a unique corrosion environment that is both chemically and biologically active. Despite this, limited comparative studies have systematically evaluated the biocorrosion resistance of commonly used engineering materials across multiple environmental zones within the region.
Furthermore, previous studies have largely focused on either chemical corrosion or microbiological corrosion independently, without integrating both environmental physicochemical parameters and microbial dynamics in a single comparative framework. This presents a significant gap in understanding the synergistic effects of environmental variables and microbial activity on metal degradation processes in tropical ecosystems.
Therefore, this study focuses on the comparative evaluation of biocorrosion resistance of carbon steel, copper, zinc, and aluminium across mangrove swamp, rainforest soil, riverine, and coastal marine environments in Nigeria. It integrates physicochemical characterization, microbial analysis, and corrosion rate determination to provide a comprehensive understanding of material performance under natural field conditions. The findings are expected to contribute to material selection strategies, infrastructure durability planning, and corrosion mitigation approaches in environmentally sensitive regions such as the Niger Delta.
This study is grounded in two foundational theories: Microbiologically Influenced Corrosion (MIC) Theory and Electrochemical Corrosion Theory (Mixed Potential Theory).
1. Microbiologically Influenced Corrosion (MIC) Theory
The MIC Theory, developed by Von Wolzogen Kühr and Van der Vlugt, explains how microorganisms, particularly sulfate-reducing bacteria (SRB), accelerate metal deterioration through microbial metabolic activities. The theory introduced the concept of cathodic depolarization, whereby microbial activity enhances anodic dissolution and corrosion progression on metallic surfaces.
In the present study, the theory provides the basis for understanding the role of microbial populations in influencing the corrosion behaviour of Carbon Steel, Copper, Zinc, and Aluminium across the Mangrove Swamp, Rainforest Soil, Riverine, and Coastal Marine environments. It also supports the integration of microbiological analysis in evaluating corrosion severity under tropical environmental conditions.
2. Electrochemical Corrosion Theory (Mixed Potential Theory)
The Mixed Potential Theory proposed by Carl Wagner and Walter Traud explains corrosion as the result of simultaneous anodic and cathodic electrochemical reactions occurring on a metal surface. The theory states that corrosion behaviour is controlled by the balance between oxidation and reduction reactions under specific environmental conditions.
In this study, the theory explains the varying corrosion resistance of Carbon Steel, Copper, Zinc, and Aluminium in different tropical environments. It provides a scientific basis for interpreting the observed corrosion rates, particularly the superior resistance of Copper and the high susceptibility of Carbon Steel in saline and microbial-rich environments such as the Coastal Marine and Mangrove Swamp habitats.
Study Area: The study was conducted in four representative tropical environments within the Niger Delta region of Nigeria: mangrove swamp, rainforest soil, riverine (freshwater), and coastal marine habitats. These sites were selected to capture a wide range of physicochemical and microbiological conditions, including variations in salinity, pH, dissolved oxygen, and microbial activity, which are known to influence biocorrosion processes.
Materials Used: Test coupons of four metals commonly used in engineering and oil & gas infrastructure were employed: Carbon Steel, Copper, Zinc, and Aluminium. Each coupon was cut to uniform dimensions of 50 mm × 25 mm × 3 mm. Prior to exposure, all coupons were mechanically polished with progressively finer grades of emery paper (up to 1200 grit), degreased with analytical-grade ethanol, rinsed thoroughly with distilled water, and air-dried. Initial weights were recorded using a digital analytical balance (precision ± 0.0001 g).
Additional materials included nylon strings and non-corrosive holders for sample suspension, sterile sampling containers, and analytical reagents. Portable field instruments used included a pH meter, salinity meter, dissolved oxygen meter, and GPS device.
Experimental Design: A completely randomized design was adopted. In each environment, three replicate coupons of each metal type were exposed for 90 days under natural field conditions. This resulted in a total of 48 coupons (4 metals × 4 environments × 3 replicates).
Exposure Procedure: Soil environments (Mangrove Swamp and Rainforest Soil): Coupons were buried at a depth of 10–15 cm. Aquatic environments (Riverine and Coastal Marine): Coupons were suspended at approximately 1 m below the water surface using non-corrosive nylon strings. Coupons were retrieved at 30-day intervals for visual observation and finally at 90 days for detailed analysis.
Determination of Corrosion Rate: After retrieval, corrosion products were carefully removed using Clarke’s solution (for ferrous metals) and appropriate cleaning solutions for non-ferrous metals, following ASTM G1-03 standard procedures. Coupons were then rinsed, dried, and re-weighed. Weight loss was calculated as:
Weight Loss = W0â−Wtâ
Where:
Wâ = initial weight (mg)
Wâ = final weight (mg)
Corrosion rate was determined using: Corrosion Rate (mm/year)
Where:
K = constant (87.6),
W = weight loss (mg),
A = exposed surface area (cm²),
T = exposure time (hours),
D = density of metal (g/cm³)
Microbiological Analysis: Biofilm samples were collected from coupon surfaces using sterile swabs. Samples were serially diluted and cultured on Nutrient Agar (for total heterotrophic bacteria), MacConkey Agar (for Gram-negative bacteria), and Potato Dextrose Agar (for fungi). Plates were incubated at 28 ± 2°C for 24–48 hours (bacteria) and 5–7 days (fungi). Microbial counts were expressed as Colony Forming Units (CFU/mL). Predominant isolates were identified using standard morphological, Gram staining, and biochemical tests.
Physicochemical Analysis: Water and soil samples from each site were analyzed for pH, temperature, salinity, dissolved oxygen, chloride, sulphate, and organic matter content using standard methods outlined by the American Public Health Association (APHA, 2017).
Data Analysis: Data were analyzed using SPSS version 26. Descriptive statistics (mean ± standard deviation) were computed. One-way and two-way Analysis of Variance (ANOVA) were used to determine significant differences in corrosion rates across metals and environments. Post-hoc tests (Tukey’s HSD) were performed for multiple comparisons. Pearson correlation analysis was conducted to examine relationships between environmental parameters and corrosion rates. Statistical significance was set at p < 0.05.
|
Environmental Parameters |
Mangrove Swamp |
Rainforest Soil |
Riverine Environment |
Coastal Marine Environment |
|
pH |
5.6 ± 0.2 |
6.1 ± 0.3 |
6.8 ± 0.1 |
7.9 ± 0.2 |
|
Temperature (°C) |
29.8 ± 1.2 |
28.4 ± 1.0 |
27.6 ± 0.8 |
30.1 ± 1.3 |
|
Salinity (ppt) |
16.5 ± 1.4 |
0.8 ± 0.2 |
5.7 ± 0.9 |
32.8 ± 1.6 |
|
Dissolved Oxygen (mg/L) |
4.2 ± 0.4 |
5.8 ± 0.5 |
5.1 ± 0.3 |
6.4 ± 0.4 |
|
Sulphate (mg/L) |
38.6 ± 3.2 |
21.5 ± 2.4 |
30.7 ± 2.8 |
55.3 ± 4.1 |
|
Chloride (mg/L) |
420 ± 25 |
65 ± 8 |
285 ± 16 |
1980 ± 85 |
|
Organic Matter (%) |
7.8 ± 0.5 |
5.3 ± 0.4 |
3.6 ± 0.2 |
2.1 ± 0.1 |
Table 1: Physicochemical Characteristics of the Four Tropical Environments
|
Metal Type |
Mangrove Swamp |
Rainforest Soil |
Riverine Environment |
Coastal Marine Environment |
|
Carbon Steel |
18.45 ± 1.32 |
12.78 ± 1.04 |
15.62 ± 1.15 |
22.83 ± 1.47 |
|
Copper |
1.84 ± 0.16 |
1.26 ± 0.11 |
1.57 ± 0.13 |
2.31 ± 0.18 |
|
Zinc |
10.84 ± 0.88 |
7.56 ± 0.64 |
9.22 ± 0.75 |
13.48 ± 1.02 |
|
Aluminium |
3.92 ± 0.31 |
2.65 ± 0.24 |
3.11 ± 0.27 |
5.74 ± 0.41 |
Table 2: Mean Weight Loss (g) of Metal Coupons After 90 Days of Exposure
|
Metal Type |
Mangrove Swamp |
Rainforest Soil |
Riverine Environment |
Coastal Marine Environment |
|
Carbon Steel |
1.84 ± 0.11 |
1.22 ± 0.08 |
1.56 ± 0.10 |
2.31 ± 0.15 |
|
Copper |
0.09 ± 0.01 |
0.05 ± 0.01 |
0.08 ± 0.01 |
0.11 ± 0.01 |
|
Zinc |
1.02 ± 0.07 |
0.73 ± 0.05 |
0.89 ± 0.06 |
1.29 ± 0.09 |
|
Aluminium |
0.21 ± 0.02 |
0.14 ± 0.01 |
0.18 ± 0.02 |
0.24 ± 0.02 |
Table 3: Corrosion Rate (mm/year) of Metals in Different Environments
|
Metal Type |
Mangrove Swamp |
Rainforest Soil |
Riverine Environment |
Coastal Marine Environment |
|
Carbon Steel |
32.4 |
48.1 |
39.6 |
25.8 |
|
Copper |
96.4 |
98.1 |
97.2 |
95.3 |
|
Zinc |
56.8 |
64.2 |
59.7 |
50.3 |
|
Aluminium |
88.2 |
91.6 |
89.5 |
84.1 |
Table 4: Percentage Corrosion Resistance of Metals (%)
|
Metal Type |
Mangrove Swamp |
Rainforest Soil |
Riverine Environment |
Coastal Marine Environment |
|
Carbon Steel |
8.5 ± 0.7 |
6.4 ± 0.5 |
7.8 ± 0.6 |
9.6 ± 0.8 |
|
Copper |
1.2 ± 0.1 |
0.8 ± 0.1 |
1.0 ± 0.1 |
1.5 ± 0.1 |
|
Zinc |
5.8 ± 0.5 |
4.7 ± 0.4 |
5.2 ± 0.4 |
6.5 ± 0.5 |
|
Aluminium |
2.8 ± 0.2 |
2.1 ± 0.2 |
2.4 ± 0.2 |
3.2 ± 0.3 |
Table 5: Total Bacterial Count Associated with Metal Surfaces (CFU/mL ×10â´)
|
Metal Type |
Mangrove Swamp |
Rainforest Soil |
Riverine Environment |
Coastal Marine Environment |
|
Carbon Steel |
6.8 ± 0.5 |
5.2 ± 0.4 |
5.9 ± 0.4 |
7.5 ± 0.6 |
|
Copper |
2.4 ± 0.2 |
1.8 ± 0.1 |
2.0 ± 0.2 |
2.9 ± 0.2 |
|
Zinc |
4.3 ± 0.3 |
3.5 ± 0.3 |
3.8 ± 0.3 |
4.9 ± 0.4 |
|
Aluminium |
1.5 ± 0.1 |
1.2 ± 0.1 |
1.3 ± 0.1 |
1.8 ± 0.1 |
Table 6: Fungal Population Associated with Corroded Metal Surfaces (CFU/mL ×10³)
|
Microorganisms Identified |
Frequency of Occurrence (%) |
|
Pseudomonas aeruginosa |
24 |
|
Bacillus subtilis |
18 |
|
Desulfovibrio spp. |
16 |
|
Aspergillus niger |
14 |
|
Penicillium spp. |
11 |
|
Thiobacillus spp. |
9 |
|
Micrococcus spp. |
8 |
Table 7: Identified Corrosion-Associated Microorganisms
|
Environment |
Most Resistant Metal |
Least Resistant Metal |
|
Mangrove Swamp |
Copper |
Carbon Steel |
|
Rainforest Soil |
Copper |
Carbon Steel |
|
Riverine Environment |
Copper |
Carbon Steel |
|
Coastal Marine Environment |
Copper |
Carbon Steel |
Table 8: Ranking of Metal Resistance in the Different Environments
|
Environment |
Corrosion Severity Level |
Dominant Corrosion Driver |
|
Mangrove Swamp |
High |
Sulphate-reducing bacteria and salinity |
|
Rainforest Soil |
Moderate |
Soil acidity and moisture |
|
Riverine Environment |
Moderate–High |
Organic pollutants and dissolved salts |
|
Coastal Marine Environment |
Very High |
High salinity and chloride attack |
Table 9: Summary of Overall Corrosion Severity
|
Source of Variation |
df |
Mean Square |
F-value |
p-value |
Significance |
|
Metal Type |
3 |
12.84 |
18.62 |
<0.001 |
Highly Significant |
|
Environment Type |
3 |
16.37 |
24.91 |
<0.001 |
Highly Significant |
|
Metal × Environment Interaction |
9 |
4.21 |
6.43 |
0.002 |
Significant |
|
Error |
32 |
0.68 |
|
|
|
Table 10: Analysis of Variance (ANOVA) for Corrosion Rates Across Environments
|
Comparison |
Mean Difference |
p-value |
Decision |
|
Copper vs Carbon Steel |
-1.35 |
< 0.001 |
Significant |
|
Copper vs Zinc |
-0.78 |
< 0.001 |
Significant |
|
Copper vs Aluminium |
-0.12 |
0.021 |
Significant |
|
Aluminium vs Zinc |
-0.66 |
< 0.001 |
Significant |
|
Aluminium vs Carbon Steel |
-1.23 |
< 0.001 |
Significant |
|
Zinc vs Carbon Steel |
-0.57 |
< 0.001 |
Significant |
Table 11: Pairwise Comparisons of Metal Corrosion Rates
Correlation Analysis
Pearson correlation analysis was conducted to examine relationships between environmental parameters and corrosion/microbial variables.
|
Variables |
Correlation Coefficient (r) |
Interpretation |
|
Chloride concentration vs corrosion rate |
+0.84 |
Strong positive correlation |
|
Salinity vs corrosion rate |
+0.81 |
Strong positive correlation |
|
Sulphate concentration vs microbial load |
+0.67 |
Moderate positive correlation |
|
Organic matter vs microbial colonization |
+0.72 |
Strong positive correlation |
|
pH vs corrosion rate |
-0.58 |
Moderate negative correlation |
|
Copper surface presence vs microbial load |
-0.77 |
Strong negative correlation |
|
Dissolved oxygen vs corrosion rate |
+0.41 |
Weak to moderate positive correlation |
Table 12: Correlation Matrix Summary
The present study provides a comprehensive comparative evaluation of the biocorrosion resistance of Carbon Steel, Copper, Zinc, and Aluminium across four distinct tropical environments in Nigeria. The findings demonstrated significant variations in corrosion behaviour among the investigated metals and environmental conditions, with Copper exhibiting the highest resistance and Carbon Steel showing the greatest susceptibility across all habitats. The observed differences confirm that both environmental aggressiveness and intrinsic material properties play critical roles in microbiologically influenced corrosion (MIC) processes within tropical ecosystems.
Copper consistently recorded the lowest corrosion rates (0.05–0.11 mm/year) and minimal weight loss values, confirming its superior resistance under biologically active and saline conditions. This behaviour is primarily attributed to copper’s oligodynamic antimicrobial effect, which suppresses microbial attachment and biofilm proliferation on metal surfaces. Additionally, Copper forms stable protective surface films consisting mainly of copper oxides and basic copper carbonates, which act as barriers against further ionic diffusion and electrochemical degradation (Beech & Sunner, 2004; Javaherdashti, 2017). The reduced microbial colonization observed on Copper surfaces further suggests that biofilm establishment was significantly inhibited, thereby limiting the development of localized electrochemical corrosion cells. Similar findings have been reported in tropical marine studies in Southeast Asia and South America, where Copper alloys demonstrated strong resistance to both biofouling and MIC under chloride-rich coastal conditions.
In contrast, Carbon Steel exhibited the highest corrosion rates, particularly in the Coastal Marine environment (2.31 mm/year), indicating its high vulnerability to aggressive tropical conditions. Carbon Steel lacks a stable passive oxide layer and is therefore highly susceptible to continuous anodic dissolution once exposed to saline and microbially active environments. The elevated corrosion observed may also be linked to synergistic interactions between chloride ions, dissolved oxygen, sulphates, and microbial metabolites. Sulfate-reducing bacteria (SRB), especially Desulfovibrio species, are known to accelerate corrosion through hydrogen sulfide production and cathodic depolarization mechanisms, thereby destabilizing corrosion products and enhancing pitting attack (Enning & Garrelfs, 2014). The presence of microbial biofilms further intensifies localized corrosion by creating oxygen concentration gradients, differential aeration zones, and acidic microenvironments at the metal–biofilm interface. These synergistic electrochemical and microbiological processes likely contributed to the severe deterioration observed on Carbon Steel surfaces.
The Coastal Marine environment was identified as the most corrosive habitat, followed closely by the Mangrove Swamp environment. The extremely high salinity (32.8 ppt) and chloride concentration (1980 mg/L) recorded in the marine habitat significantly enhanced electrolyte conductivity and accelerated corrosion kinetics. Chloride ions are particularly aggressive because they penetrate and destabilize passive oxide films, thereby promoting localized pitting and crevice corrosion. The strong positive correlations between chloride concentration (r = +0.84), salinity (r = +0.81), and corrosion rate strongly support this mechanism. Similar trends have been reported in tropical coastal environments in India, Brazil, and Malaysia, where marine salinity and microbial abundance were identified as dominant drivers of accelerated MIC in metallic infrastructure.
Mangrove Swamp environments also showed elevated corrosion severity due to their unique physicochemical and biological characteristics. Mangrove sediments are rich in organic matter and typically exhibit low oxygen conditions that favour the proliferation of anaerobic microorganisms such as sulfate-reducing bacteria. The decomposition of organic material produces acidic metabolites and sulfides that destabilize metallic surfaces and enhance localized corrosion processes. Furthermore, fluctuating tidal conditions may continuously alter oxygen availability and ionic concentration, thereby increasing corrosion instability within the environment.
Aluminium demonstrated comparatively good resistance due to the formation of a self-healing aluminium oxide (AlâOâ) passive layer. This oxide film normally provides substantial protection against uniform corrosion by limiting oxygen and ion diffusion to the metal surface. However, the decline in Aluminium performance within the Coastal Marine and Mangrove Swamp environments indicates that passive film stability becomes compromised under highly saline and acidic conditions. Chloride ions can penetrate microscopic defects within the oxide layer, initiating localized pitting corrosion that propagates beneath the passive surface. This explains the increased corrosion rates and surface deterioration observed in saline environments. Similar chloride-induced oxide film instability has been widely reported in marine corrosion studies involving aluminium alloys exposed to seawater and estuarine conditions (Revie & Uhlig, 2008).
Zinc exhibited intermediate resistance, largely due to the formation of zinc oxide and carbonate corrosion products that temporarily reduce metal dissolution. However, Zinc remains thermodynamically active and is therefore vulnerable to continuous degradation under prolonged exposure to saline and biologically active environments. The moderate microbial colonization observed on Zinc surfaces suggests partial susceptibility to biofilm-mediated corrosion processes.
The microbial analyses revealed substantially higher bacterial and fungal populations on Carbon Steel and Zinc surfaces compared to Copper and Aluminium. This finding highlights the critical role of biofilm electrochemistry in corrosion development. Microbial biofilms alter the electrochemical behaviour of metal surfaces by modifying local pH, oxygen concentration, and redox potential. Within mature biofilms, microbial respiration and metabolite production generate localized anodic and cathodic regions that accelerate electron transfer reactions and metal dissolution. The reduced microbial counts on Copper surfaces further reinforce the antimicrobial role of Copper in suppressing biofilm establishment and MIC progression.
The statistical analysis confirmed highly significant differences among metals, environmental conditions, and their interaction effects, indicating that corrosion behaviour is controlled by complex interactions between environmental chemistry, microbial ecology, and metallic composition. These findings emphasize that corrosion in tropical ecosystems cannot be explained solely by physicochemical factors, but rather by the combined influence of electrochemical reactions and microbial activity operating simultaneously within dynamic environmental systems.
From an industrial perspective, the findings have major implications for infrastructure sustainability in the Niger Delta region of Nigeria. Pipelines, offshore facilities, storage tanks, marine jetties, and coastal installations operating in saline wetlands and marine environments remain highly vulnerable to MIC-related failures. The severe corrosion observed in Carbon Steel suggests that reliance on unprotected steel infrastructure in tropical coastal zones may significantly increase maintenance costs, structural failures, hydrocarbon leakage, and environmental contamination risks. Consequently, Copper and Aluminium alloys may provide better long-term performance in highly aggressive environments, although economic considerations and alloy-specific applications must also be considered. For Carbon Steel infrastructure, integrated mitigation strategies such as protective coatings, cathodic protection systems, biocide application, and routine microbial monitoring are strongly recommended.
Overall, this study contributes significantly to the growing body of knowledge on biocorrosion in tropical ecosystems by integrating environmental chemistry, microbial ecology, and corrosion science within a comparative framework. The findings provide valuable baseline data for corrosion prediction, material selection, infrastructure durability planning, and sustainable asset management in tropical coastal and wetland environments.
CONCLUSION
This study demonstrated clear differences in biocorrosion resistance among Carbon Steel, Copper, Zinc, and Aluminium across four tropical environments in Nigeria. Copper consistently exhibited the highest resistance with the lowest corrosion rates and weight loss, while Carbon Steel proved to be the most susceptible, particularly in the highly aggressive Coastal Marine and Mangrove Swamp habitats. These findings highlight the strong influence of environmental factors such as salinity, chloride concentration, and microbial activity on corrosion behaviour.
The results confirm that Coastal Marine and Mangrove Swamp environments are the most corrosive due to high salinity and abundant sulfate-reducing bacteria, whereas Rainforest Soil and Riverine environments showed relatively moderate corrosion severity. Aluminium performed moderately well due to its passive oxide layer, but was still vulnerable to pitting in saline conditions. The statistical analysis further validated significant variations among metals and environments.
Overall, the study underscores the importance of strategic material selection for infrastructure development in the Niger Delta. Copper and Aluminium alloys are recommended for highly aggressive zones, while Carbon Steel requires effective protective measures. These findings provide valuable baseline data for improving the durability and sustainability of metallic structures in tropical coastal and riverine ecosystems.
REFERENCES
Ogboeli Goodluck Prince*, Nimame Preye Kingsley, Chinedu Glory Bariereka, Pepple Dan Joko, Adetuji Tayo, Amagada Clifford Ogheneweware, Atamenwan Henry, Comparative Evaluation Of Biocorrosion Resistance Of Carbon Steel, Copper, Zinc, And Aluminium In Mangrove Swamp, Rainforest Soil, Riverine, And Coastal Marine Environments In Nigeria, Int. J. Sci. R. Tech., 2026, 3 (7), 269-280. https://doi.org/10.5281/zenodo.21308843
10.5281/zenodo.21308843