Optimization of biostimulant for bioremediation of contaminated coastal sediment by response surface methodology (RSM) and evaluation of microbial diversity by pyrosequencing

Subha, Bakthavachallam; Song, Young-Chae; Woo, Jung-Hee

doi:10.1016/j.marpolbul.2015.06.042

Cited by 17 publications

(4 citation statements)

References 86 publications

(82 reference statements)

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“…It can be observed that the optimized biogas production for solutions 1, 2 and 3 are higher than experimental ones by 8.19%, 6.60% and 10.67%, respectively. For the results to be valid, the difference between the actual value and the predicted value should be less than 20% [50]. The differences are within the range hence the optimization is admissible.…”

Section: Verification Of Optimized Resultsmentioning

confidence: 96%

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Optimization of Biogas Production in a Batch Laboratory Digester Using Total Solids, Substrate Retention Time, and Mesophilic Temperature

Masinde¹,

Nyaanga²,

Njue³

et al. 2020

IJPER

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Optimization was done by investigating the interaction effects of total solids, mesophilic temperature, and substrate retention time on biogas production in a batch biodigester. The volume of the biodigester was 0.15m 3. Central composite design of Response Surface Methodology was used to design the experiment. Total solid levels were varied from 6.31% to 9.68%, temperature was from 26.59°C to 43.41°C, and substrate retention time was from 9.95 to 20.04 days. Analysis of results was done using Design Expert software statistical package (version 10.0.0.3). It gave a coefficient of determination of 0.9665 which indicated a high correlation between the variables. All the variables had a significant effect. The highest biogas production rate of 75.41litres/day (or 0.50 m 3 of biogas per m 3 of digester volume per day, m 3 /m 3 d) was achieved at a level of 8% total solids, a temperature of 43.41°C, and a substrate retention time of 15 days.

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Section: Verification Of Optimized Resultsmentioning

confidence: 96%

“…The predicted R 2 value of 0.7442 showed reasonable agreement with the adjusted R 2 value of 0.9364. The threshold is that the difference between the adjusted R 2 and the predicted R 2 should be less than 0.2 [50]. The difference here is 0.1922.…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 87%

Optimization of Biogas Production in a Batch Laboratory Digester Using Total Solids, Substrate Retention Time, and Mesophilic Temperature

Masinde¹,

Nyaanga²,

Njue³

et al. 2020

IJPER

View full text Add to dashboard Cite

show abstract

“…The p -value of 0.015 for X 1 X 2 also implied the interaction was happened between F/I ratio and organic loading. The R 2 value of 0.9558 implied more than 95.58% of the variance was attributable to the variables in methane production (Subha et al 2015). Coefficient of variation (C.V. %) described the dispersion of the data and represented the accuracy and credibility of the result.…”

Section: Discussionmentioning

confidence: 99%

“…The significance of all the terms for variables was tested statistically at level of p = 0.05. The best condition for the experiment, the influence of individual variable, and the interaction between variables on the response were described by 2D contour plots and 3D response surface plots (Subha et al 2015). …”

Section: Methodsmentioning

confidence: 99%

Enhanced methane production of vinegar residue by response surface methodology (RSM)

Feng

Zhang

et al. 2017

AMB Expr

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As the by-product of the vinegar production process, a large number of vinegar residue has been abandoned and caused a serious environmental pollution. Anaerobic digestion has been proved to be able to dispose and convert vinegar residue into bioenergy but still need to improve the efficiency. This study applied central composite design of response surface methodology to investigate the influences of feed to inoculum ratio, organic loading, and initial pH on methane production and optimize anaerobic digestion condition. The maximum methane yield of 203.91 mL gVS−1 and biodegradability of 46.99% were obtained at feed to inoculum ratio of 0.5, organic loading of 31.49 gVS L−1, and initial pH of 7.29, which was considered as the best condition. It has a very significant improvement of 69.48% for methane production and 52.02% for biodegradability compared with our previous study. Additionally, a high methane yield of 182.09 mL gVS−1 was obtained at feed to inoculum ratio of 1.5, organic loading of 46.22 gVS L−1, and initial pH of 7.32. And it is more appropriate to apply this condition in industrial application owing to the high feed to inoculum ratio and organic loading. Besides, a significant interaction was found between feed to inoculum ratio and organic loading. This study maximized the methane production of vinegar residue and made a good foundation for further study and future industrial application.

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Identifying human-induced influence on microbial community: A comparative study in the effluent-receiving areas in Hangzhou Bay

Zheng

Dai

et al. 2019

Front. Environ. Sci. Eng.

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Optimization of biostimulant for bioremediation of contaminated coastal sediment by response surface methodology (RSM) and evaluation of microbial diversity by pyrosequencing

Cited by 17 publications

References 86 publications

Optimization of Biogas Production in a Batch Laboratory Digester Using Total Solids, Substrate Retention Time, and Mesophilic Temperature

Optimization of Biogas Production in a Batch Laboratory Digester Using Total Solids, Substrate Retention Time, and Mesophilic Temperature

Enhanced methane production of vinegar residue by response surface methodology (RSM)

Identifying human-induced influence on microbial community: A comparative study in the effluent-receiving areas in Hangzhou Bay

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