Bioremediation: Data on Pseudomonas aeruginosa Effects on the Bioremediation of Crude Oil Polluted Soil

This data article details Pseudomonas aeruginosa effects on the bioremediation of soil that had been polluted by different concentrations, 5% w/w and 8% w/w, of raw (for simulating oil spills from wellheads) and treated (for simulating oil spills from flow lines/storage tanks) crude oil. UV/VIS spectrophotometry instrumentation was used for obtaining absorbance measurements from the Nigerian Escravos Light blend (sourced from Chevron® Nigeria) of crude oil polluting soil samples, which, thus, also simulates light and heavy onshore oil spillage scenarios, in a 30-day measurement design. Data on bioremediation effects of Pseudomonas aeruginosa added to the crude oil polluted soil samples, and which were monitored at intervals via the absorbance measurement techniques, are presented in tables with ensuing analyses for describing and validating the data presented in graphs. Information from the presented data in this article is useful to researchers, the oil industries, oil prospecting communities, governments and stakeholders involved in finding solution approach to the challenges of onshore oil spills. This information can also be used for furthering research on bioremediation kinetics such as biostimulant analyses, polluting hydrocarbon content/degradation detailing, by Pseudomonas aeruginosa strain of microorganism, on petroleum pollutant removal from soil that had been polluted by crude oil spillage

Implementation of Data Normality Testing as a Microsoft Excel® Library Function by Kolmogorov-Smirnov Goodness-of-fit Statistics

This paper deliberates on the implementation of data Normality test as a library function in Microsoft Exel® spreadsheet software, in which researchers normally stores data for anlysis and processing, by Kolmogorov-Smirnov goodness-of-fit statistics. The implementation procedure followed algorithmic program development of the Normality Kolmogorov-Smirnov D statistics for the one-sided and the twosided test criteria as a library function in the Microsoft Excel® environment. For this, the Visual Basic for Applications was employed for deploying macro embedment in the spreadsheet software. Successful implementation of the Normality K-S D statistics fosters the development of the Normality K-S p-value estimation procedure also as a library function in the Ms Excel® environment. Tests of these implementations bear potency of accurate, speedy and economical procedure for undertaking Normality testing in research, for data of up to sample size n ≤ 2000

Bioremediation : data on biologically‐mediated remediation of crude oil (Escravos Light) polluted soil using Aspergillus niger

Abstract: This article presents data on Aspergillus niger effects on the biologically‐mediated remediation of soil polluted by raw and treated crude oil (Escravos Light blend). Absorbance of different concentrations of polluted soil samples (5% and 8% w/w) and types (raw and treated), for simulating different onshore crude oil spill, were obtained from the Aspergillus niger inoculated samples using ultra violet‐visible (UV‐Vis) spectrophotometry. This measurement was carried out for each sample at selected intervals for the 30‐ day measurements. The bioremediation data, presented in the article, were subjected to descriptive/analytical statistics of probability density functions and goodness‐of‐fit test‐statistics for dataset‐detailing and dataset‐comparisons. Information details from these data of biologically‐mediated remediation of crude oil polluted soil are useful for furthering research on bioremediation kinetics such as hydrocarbon content analyses, crude oil pollutant removal performance, biodegradation rate parameter and biostimulant efficiencies by the Aspergillus niger effects on the different concentrations of polluted soil

Rhizophora mangle L. leaf biochemical characterization : natural-green totalcorrosion inhibition prospect on concrete steel-reinforcement in 3.5% NaCl

Abstract: Effective corrosion-protection by plant-extract on metals, in aggressive service-environment, is dependent on the biochemical constituents of which the natural plant is made-up. This paper investigates biochemical characterization of inorganic and organic constituents of Rhizophora mangle L. leaf for gaining insight on its steel-reinforcement corrosion mitigating prospect in NaCl-immersed concretes. For the study, atomic absorption spectroscopy (AAS), Fourier transform infrared spectroscopy (FT-IR) and phytochemical screening analyses were employed. Totalcorrosion effect was also studied from steel-reinforced concrete samples, having different concentrations of the leaf-extract as admixture, and which were immersed in 3.5% NaCl (simulating saline/marine environment). Results, by AAS, showed that Rhizophora mangle L. leaf inorganic constituents were highest in iron, Fe = 10,316.17 μg/g and lowest in cadmium, Cd = 6.2019 μg/g but has neither lead (Pb) nor chromium (Cr). Also, organic constituents, by FT-IR, indicated extract from the leaf constitutes aromatic chained compounds rich in π-electrons as well as sulphur, nitrogen and oxygen-bearing ligands to which iron (steelrebar) exhibits coordinate affinity. Phytochemical characterization showed that the leaf-extract contains alkaloids, tannins, phlobatannins, saponins, steroids and glycosides. Corrosion-inhibiting prospect testing, using the leaf-extract, indicated reduced steel-reinforcement totalcorrosion effects that correlated with the extract admixture concentrations employed in the 3.5% NaCl-immersed steel-reinforced concretes

Data on triethylenetetramine effect on steel‐rebar corrosion‐rate in concrete immersed in 0.5 M H2SO4

Abstract: In this article, the dataset on the effect of different triethylenetetramine (TETA: C6H18N4) concentrations on the corrosion‐rate of steel‐rebar embedment in steel‐reinforced concrete immersed in 0.5 M H2SO4 (for simulating industrial/microbial environment) is presented. The corrosion test‐data was obtained from weekly monitoring, over seven weeks of steel‐reinforced concrete immersion, using linear‐polarizationresistance (LPR) measuring instrument. The dataset and its requisite analyses, as per ASTM G16—13, are presented in graphs and tables. The analyses detailed include descriptive statistics of the Normal, Gumbel and Weibull probability distribution functions (pdf’s), and tests‐of‐fit significance by the Kolmogorov‐ Smirnov goodness‐of‐fit statistics. The detailed information from this corrosion tests dataset is useful for further research on the inhibition mechanism and effectiveness of the triethylenetetramine chemical on the corrosion‐protection of reinforcing‐steel material in steel‐reinforced concrete designed for the industrial/microbial service‐environment

Anticorrosion Performance of Solanum Aethiopicum on Steel-Reinforcement in Concrete Immersed in Industrial/Microbial Simulating-Environment

This paper investigates anticorrosion performance of Solanum aethiopicum leaf-extract on steel-reinforcement in concrete immersed in 0.5 M H2SO4, simulating industrial/microbial environment. For this, corrosion rate by linear polarisation resistance and corrosion potential as per ASTM C876-91 R99 were monitored from steel-reinforced concrete slabs admix ed with different Solanum aethiopicum leaf-extract concentrations and immersed in the acidic test-environment. Obtained test-data were subjected to statistical probability distributions for which compatibilities were tested using Kolmogorov-Smirnov goodness-of-fit statistics, as per ASTM G16-95 R04. These identified all datasets of corrosion test-data, from the steel-reinforced concrete samples, as coming from the Weibull probability distribution. Analysed results showed that Solanum aethiopicum leaf-extract reduced rebar corrosion condition from “high” to “low” corrosion risks of ASTM C876-91 R99. Also, the corrosion rate analyses identified 0.25% Solanum aethiopicum leaf-extract with optimal inhibition efficiency performance, η = 93.99%, while the other concentrations also exhibited good inhibition of steel-reinforcement corrosion in the test-environment

Anticorrosion Behaviour of Rhizophora mangle L. Bark-Extract on Concrete Steel-Rebar in Saline/Marine Simulating Environment

This paper investigates anticorrosion behaviour of the bark-extract from Rhizophora mangle L. on steel-rebar in concrete slabs in 3.5% NaCl medium of immersion (for simulating saline/marine environment). Corrosion-rate, corrosion-current, and corrosion-potential were measured from the NaCl-immersed steel-reinforced concrete cast with admixture of different plant-extract concentrations and from positive control concrete immersed in distilled water. Analyses indicate excellent mathematical-correlation between the corrosion-rate, concentration of the bark-extract admixture, and electrochemical noise-resistance (ratio of the corrosion-potential standard deviation to that of corrosion-current). The 0.4667% Rhizophora mangle L. bark-extract admixture exhibited optimal corrosion-inhibition performance, η = 99.08±0.11% (experimental) or η = 97.89±0.24% (correlation), which outperformed the positive control specimens, experimentally. Both experimental and correlated results followed Langmuir adsorption isotherm which suggests prevalent physisorption mechanism by the plant-extract on the reinforcing-steel corrosion-protection. These findings support Rhizophora mangle L. bark-extract suitability for corrosion-protection of steel-rebar in concrete structure designed for immersion in the saline/marine environmental medium

Investigation of oil drill cuttings as partial replacement of cements in concrete for low strength structures

Abstract: This study investigates the use of oil drill cuttings (ODC) as partial replacement of Portland cement (PC) and cementitious materials in binary and ternary cement compositions. Concrete specimens were prepared incorporating 0, 5, 10 and 20% by mass of ODC replacements in Portland cement (PC) and 10% of the ODC replacement in specimens having ground granulated blast furnace slag (GGBS) and pulverised fly ash (PFA) respectively. The fresh and hardened state properties of the concretes were studied. Results showed that use of ODC contributed improvements to the fresh concrete properties, while it also exhibited good comparisons of hardened concrete properties with the non- ODC containing concretes. Findings in the study support the use of ODCcontaining concrete mixes for low strength structures such as foundation blinding and infilling materials, in structural fills applications requiring no future excavations. These combined the advantages of cost reduction in concrete production with utilization of the waste ODC materials, which is a considerable..

Bioremediation: Data on Biologically-Mediated Remediation of Crude Oil (Escravos Light) Polluted Soil using Aspergillus niger

This article presents data on Aspergillus niger effects on the biologically-mediated remediation of soil polluted by raw and treated crude oil (Escravos Light blend). Absorbance of different concentrations of polluted soil samples (5% and 8% w/w) and types (raw and treated), for simulating different onshore crude oil spill, were obtained from the Aspergillus niger inoculated samples using ultra violet-visible (UVVis) spectrophotometry. This measurement was carried out for each sample at selected intervals for the 30-day measurements. The bioremediation data, presented in the article, were subjected to descriptive/analytical statistics of probability density functions and goodness-of-fit test-statistics for dataset-detailing and dataset-comparisons. Information details from these data of biologically-mediated remediation of crude oil polluted soil are useful for furthering research on bioremediation kinetics such as hydrocarbon content analyses, crude oil pollutant removal performance, biodegradation rate parameter and biostimulant efficiencies by the Aspergillus niger effects on the different concentrations of polluted soil