Anaerobic co-digestion of sewage sludge and bio-based glycerol: Optimisation of process variables using one-factor-at-a-time (OFAT) and Box-Behnken Design (BBD) techniques

Madondo, Nhlanganiso Ivan; Chetty, Maggie

doi:10.1016/j.sajce.2022.02.003

Cited by 22 publications

(14 citation statements)

References 26 publications

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“…The general method to study the factors affecting the process is to change one factor individually, i.e., one factor at a time (OFAT). In this technique, the effect of each factor is studied individually, neglecting the fact that the combination of different factors can intensify or neutralize each other’s effects 30 – 32 . Today, statistical and engineering methods such as the response surface methodology (RSM) are used to solve this issue 33 .…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Optimization of dyes and toxic metals removal from environmental water samples by clinoptilolite zeolite using response surface methodology approach

Sun

Abbass²,

Ghoroqi

et al. 2022

Sci Rep

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The present study aimed to remove crystal violet (CV), malachite green (MG), Cd(II), and Pb(II) from an aqueous solution using clinoptilolite zeolite (CZ) as an adsorbent. Response surface methodology (RSM) based on central composite design (CCD) was used to analyze and optimize the process parameters, such as pH, analyte concentration, adsorbent amount, and sonication time. Quadratic models with the coefficient of determination (R2) of 0.99 (p < 0.0001) were compared statistically. The results revealed that the selected models have good precision and a good agreement between the predicted and experimental data. The maximum removal of contaminants was achieved under optimum conditions of pH = 6, sonication time of 22 min, the adsorbent amount of 0.19 g, and analyte concentration of 10 mg L−1. The reusability test of the adsorbent showed that the CZ adsorbent could be used 5 times in water and wastewater treatment processes. According to the results of interference studies, the presence of different ions, even at high concentrations, does not interfere with the removal of contaminants. Applying the CZ adsorbent on environmental water samples revealed that CZ adsorbent could remove CV, MG, Cd(II), and Pb(II) in the range of 84.54% to 99.38% and contaminants present in industrial effluents. As a result, the optimized method in this study can be widely used with high efficiency for removing CV, MG, Cd(II), and Pb(II) from water and wastewater samples.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Optimization of dyes and toxic metals removal from environmental water samples by clinoptilolite zeolite using response surface methodology approach

Sun

Abbass²,

Ghoroqi

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The global maximum that maximizes the output variable may be determined if, by some stroke of luck, the research was started reasonably in the first place, although this is extremely unlikely [21][22][23][24][25]. A more rigorous strategy for analyzing experimental point placement and reaction, the response surface methodology (RSM).…”

Section: Historymentioning

confidence: 99%

Response Surface Method for the Optimization of E. cloacae Strain UPM2021a Growth on Acrylamide as a Nitrogen Source

Abubakar

Manogaran

Yakasai

et al. 2022

Bioremed Sci Technol Res

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Acrylamide is often used in soil stabilization works. It is a neurotoxin and leachate from such stabilization works contaminate soils all around the world. E. cloacae strain UPM2021a which had been previously isolated and demonstrated the ability to degrade acrylamide was further studied for its critical parameters contributing to the optimum growth of acrylamide. The Box-Behnken design was utilized in optimizing the three previously identified significant components (pH, incubation time and acrylamide concentration). Of the three factors, acrylamide and pH were the significant factors. The response surface plot exhibited evidence of interactions. Predicted optimal conditions were determined using the "Numerical Optimisation" toolbox of the Design Expert software. Two optimal conditions were tested. The model predicted a maximum growth of 10.686 (95% C.I., 10.458 to 10.913) which was verified through experimental results with a growth of 11.257 (95% C.I., 11.051 to 11.462) with the actual results being near to the predicted values but was significantly higher than the predicted values. The second numerical optimization gave a solution with a predicted maximum growth of 9.305 log CFU/mL (95% C.I. from 9.011 to 9.614) which was verified through experimental results with a growth of 9.978 log CFU/mL (95% C.I. from 9.830 to 10.126) with the actual results were also significantly higher than the predicted values. This means that other methods which employ more runs such as CCD or a different optimization approach such as Artificial Neural Network may be employed in the future to close the difference between the model predicted and actual experimental values. Despite this, the RSM exercise gave far better growth on acrylamide than OFAT with a higher response of about 2 log CFU/mL unit indicating the utility of RSM over OFAT in the optimization of growth of this bacterium on acrylamide.

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“…he over-reliance on fossil fuels for energy, the production of high gas emissions, and the high fossil fuel prices [1] has sparked researchers to look for other energy sources that are environmental friendly [2]. Industrialization and the high global population has resulted in the generation of vast quantities of wastewater which leads to poor management and treatment of wastewater, especially in places that are developing [3; 4].…”

Section: Introductionmentioning

confidence: 99%

“…The anaerobic digestion process is a promising method for wastewater treatment. This because the anaerobic digestion process is able to convert biochemical matter into biogas consisting chiefly of methane (approximately 60%), an energy source [2]. Thus, anaerobic digestion has turn out to be the most appropriate technology for both water and energy.…”

Section: Introductionmentioning

confidence: 99%

Application of Metallic Additives in Anaerobic Digestion for Improving the Metabolic Activity

2022

35th JOHANNESBURG International Conference on “Chemical, Biological and Environmental Engineering” (ICCBEE-22) Nov. 28-29, 2022

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The anaerobic digestion process is an interesting method for the treatment of biochemical matter. Anaerobic inhibitors, such as high volatile fatty acids (VFAs) and sulphur may reduce the metabolic activity, and consequently cause digester failure. Nonetheless, metallic additives may help to reduce the influence of inhibition and improve the stability of the anaerobic process for improved methane and biogas productions. Therefore, this study investigated the effect of five (5) metallic additives (nanoparticles); iron (Fe-NPs), nickel (Ni-NPs), copper (Cu-NPs), zinc (Zn-NPs) and magnetite (Fe3O4-NPs) on the performance of the anaerobic digestion process. The experimental work was executed using 1 L digesters, with a working volume of 0.8 L and a headspace 0.2 L. The application of metallic additives in anaerobic digestion revealed higher biogas production and greater pollutant removals. The Fe3O4-NPs digester generated the highest biogas production of 260 ml/g VSfed and also showed higher removals for chemical oxygen demand, total suspended solids, total organic carbon, and ammonia-nitrogen. In terms of kinetics study, the Fe3O4-NPs digester revealed the shortest lag phase (1.9 days), highest coefficient of determination (0.95) and greatest hydrolysis constant rate (0.310/day). In conclusion, the metallic additives were successfully applied in anaerobic digestion for improving metabolic activity.

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Anaerobic co-digestion of sewage sludge and bio-based glycerol: Optimisation of process variables using one-factor-at-a-time (OFAT) and Box-Behnken Design (BBD) techniques

Cited by 22 publications

References 26 publications

RETRACTED ARTICLE: Optimization of dyes and toxic metals removal from environmental water samples by clinoptilolite zeolite using response surface methodology approach

RETRACTED ARTICLE: Optimization of dyes and toxic metals removal from environmental water samples by clinoptilolite zeolite using response surface methodology approach

Response Surface Method for the Optimization of E. cloacae Strain UPM2021a Growth on Acrylamide as a Nitrogen Source

Application of Metallic Additives in Anaerobic Digestion for Improving the Metabolic Activity

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