Kinetics-driven coagulation treatment of petroleum refinery effluent using land snail shells: An empirical approach to Environmental sustainability

Ovuoraye, Prosper E.; Ugonabo, Victor Ifeanyi; Abdullah, Tahir; Balogun, Philip .A

doi:10.1016/j.clce.2022.100084

Cited by 16 publications

(10 citation statements)

References 19 publications

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“…It can be concluded from the outline of Figure 4 that the summary of the s tati s tical and evaluation metrics from the ANN indicates an increase in model errors as the number of epochs increased. This outcome reasonably agrees with the optimization modeling procedure reported in the literature [16,27]. The train and validation curves' curvature indicates that overfitting has been greatly minimized [27].…”

Section: Artificial Neural Network Performance Validation Of the Cil-...supporting

confidence: 88%

“…This outcome reasonably agrees with the optimization modeling procedure reported in the literature [16,27]. The train and validation curves' curvature indicates that overfitting has been greatly minimized [27]. The performance of each model (ANN and RSM) was validated by evaluating their prediction accuracy using s tati s tical tools (MSE, RSME, X 2 and SSE) [27,28].…”

Section: Artificial Neural Network Performance Validation Of the Cil-...supporting

confidence: 84%

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Artificial Neural Network and Response Surface Design for Modeling the Competitive Biosorption of Pentachlorophenol and 2,4,6-Trichlorophenol to Canna indica L. in Aquaponia

Enyoh

Ovuoraye

Isiuku

et al. 2023

Anal. Method Environ. Chem. J.

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The continuous exposure of the environment to carcinogenic wastes and toxic chlorophenols such as pentachlorophenol (PCP) and 2,4,6-trichlorophenol (TCP) resulting from industrial production activities is become a great concern. The search for cost efficient and ecofriendly approach to phytoremediation of water will guarantee sustainability. The present research work is concerned with cost benefit evaluation, and the optimization modeling of the competitive biosorption of PCP and TCP from aqueous solution to Cana indica. L (CiL-plant) using response surface methodology (RSM) and artificial neural network (ANN) model. The predictive performances of the ANN model and the RSM were compared based on their statistical metrics. The antagonistic and synergetic effect of significant biosorption variables (pH, initial concentration, and exposure time) on the biosorption process were studied at p-values ≤0.005. The optimized output transcends to PCP and TCP removal rates of 90% and 87.99% efficiencies at predicted r-squared ≤0.9999, at 95% confidence interval. The cost benefit evaluation established that at the optimum conditions, the cost of operating the removal of TCP from aqueous solution will save $ 7.72 compared to PCP. The reliability of the optimization model based on design of experiment was proven to be more sustainable compared to the one-factor-at-a-time methodologies.

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Section: Artificial Neural Network Performance Validation Of the Cil-...supporting

confidence: 88%

Section: Artificial Neural Network Performance Validation Of the Cil-...supporting

confidence: 84%

Artificial Neural Network and Response Surface Design for Modeling the Competitive Biosorption of Pentachlorophenol and 2,4,6-Trichlorophenol to Canna indica L. in Aquaponia

Enyoh

Ovuoraye

Isiuku

et al. 2023

Anal. Method Environ. Chem. J.

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“…This outcome sug- www.nature.com/scientificreports/ gests that the process of COLR reduction from AQEF is not chemically controlled. The models' adjusted-R 2 (0.9979) was closest to unity, confirming the goodness of fit of the kinetic data 94 . The maximum sorption capacity (q e = 0.2509 mg/g) recorded for the PFO model correspond to 70% COLR removal efficiency.…”

Section: Resultssupporting

confidence: 65%

“…The removal efficiency of PNSC was largely dependent on the antagonistic effect of pH, temperature, and settling time. The dosage had a ceiling effect on the clarification efficacy of the bio-coagulant, with a low tendency to form sludge 94 . Also, a p value of 0.001 ( ) and F value = 24.23 > 1 were evaluated.…”

Section: Resultsmentioning

confidence: 99%

Purification of aquaculture effluent using Picralima nitida seeds

Igwegbe

Ovuoraye

Białowiec

et al. 2022

Sci Rep

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Aquaculture effluent treatment is essential to eliminate the undesirable characteristics of water to ensure cleaner production and environmental sustainability. In an effort to develop green coagulant without compromising cost, this research investigated the feasibility of aquaculture effluent (AQEF) pollutant removal using Picralima nitida seeds extract (PNSC) and its bio-coagulation/adsorption kinetic characteristics with the substrate in water. The coagulative decrease was observed in terms of TD (turbidity), TSS (total suspended solids), COD (chemical oxygen demand), BOD (biochemical oxygen demand), and COLR (color) from AQEF. The active coagulant was extracted from the seeds and analyzed for its spectral and morphological characteristics through FTIR and SEM. The influence of PNSC dosage (0.10–0.50 g L−1), pH (2–10), settling time (0–60 min), and temperature (303–323 K) on the removal of contaminants were surveyed. The process kinetics of coagulation–flocculation were also explored. Maximal TD reduction of 90.35%, COD (82.11%), BOD (82.38%); TSS (88.84%), and COLR (65.77%) at 0.2 g PNSC L−1, pH 4, and 303 K was achieved. Analysis of variance (ANOVA) tests proved that pH, temperature, and settling time had a significant effect on pollutant removal. Results fitted Von Smoluchowski’s perikinetics theory at the optimum conditions, which gave R2 > 0.900. At perikinetics circumstances, the Kb (reaction rate) and $${t}_{f\frac{1}{2}}$$ t f 1 2 (half-life) correspond to 0.0635 Lg−1 min−1 and 1.9 min. More so, sorption results fitted the Lagergren over the Ho model. Additionally, the net cost of using PNSC to handle 1 L of AQEF (including electricity, material, and labor costs) was evaluated to be €4.81. Overall, the PNSC appears reliable and useful in pretreating AQEF for improved biodegradability and superior effluent quality.

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“…However, in recent years, the use of adsorbent materials from the sea has been focused on due to treatment efficiency as well as solving environmental problems [ 47 ]. Shrimp [ 48 , 49 , 50 ], crabs [ 51 , 52 ], oysters [ 53 , 54 ], snails [ 55 , 56 ], clams [ 57 , 58 ], fish bone [ 59 , 60 ], and other marine species [ 61 , 62 , 63 ] are used as highly effective adsorbents in the removal of wastes from water pollution.…”

Section: Introductionmentioning

confidence: 99%

A Critical Review of Snail Shell Material Modification for Applications in Wastewater Treatment

2023

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Sea material is becoming increasingly popular and widely used as an adsorbent in wastewater treatment. Snail shell, a low-cost and natural animal waste material, has been shown to have a high calcium content (>99%) and a large potential surface area for the development of sustainable adsorbents. This paper presents a novel synthesis of methods for using snail shell absorbent materials in the treatment of wastewater containing heavy metals, textile dyes, and other organic substances. Modified biochar made from snail shells has gained popularity in recent years due to its numerous benefits. This paper discusses and analyzes modification methods, including impregnating with supplements, combining other adsorbents, synthesis of hydroxyapatite, co-precipitation, and the sol–gel method. The analysis of factors influencing adsorption efficiency revealed that pH, contact time, temperature, initial concentration, and adsorbent dose all have a significant impact on the adsorption process. Future research directions are also discussed in this paper as a result of presenting challenges for current snail adsorbents.

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Kinetics-driven coagulation treatment of petroleum refinery effluent using land snail shells: An empirical approach to Environmental sustainability

Cited by 16 publications

References 19 publications

Artificial Neural Network and Response Surface Design for Modeling the Competitive Biosorption of Pentachlorophenol and 2,4,6-Trichlorophenol to Canna indica L. in Aquaponia

Artificial Neural Network and Response Surface Design for Modeling the Competitive Biosorption of Pentachlorophenol and 2,4,6-Trichlorophenol to Canna indica L. in Aquaponia

Purification of aquaculture effluent using Picralima nitida seeds

A Critical Review of Snail Shell Material Modification for Applications in Wastewater Treatment

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