2014
DOI: 10.1016/j.biombioe.2014.10.023
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Methanogenic activity optimization using the response surface methodology, during the anaerobic co-digestion of agriculture and industrial wastes. Microbial community diversity

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Cited by 45 publications
(25 citation statements)
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“…This statistical technique is a useful tool for optimization of AD when the response (increased methane production volume or content) may be influenced by several variables. Previous research utilizing RSM includes parameters such as ratios of co-digestion feedstocks, change in volatile solid concentrations or change in specific influent concentrations such as ammonium or alkalinity [25][26][27]42]. The RSM results indicated that the 2nd or 3rd order equations did not fit well with the experimental data because of the limits of response surface methodology as described in different applications.…”
Section: Resultsmentioning
confidence: 93%
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“…This statistical technique is a useful tool for optimization of AD when the response (increased methane production volume or content) may be influenced by several variables. Previous research utilizing RSM includes parameters such as ratios of co-digestion feedstocks, change in volatile solid concentrations or change in specific influent concentrations such as ammonium or alkalinity [25][26][27]42]. The RSM results indicated that the 2nd or 3rd order equations did not fit well with the experimental data because of the limits of response surface methodology as described in different applications.…”
Section: Resultsmentioning
confidence: 93%
“…In general, the major phyla of bacteria found in WWTP sludge were Firmicutes, Bacteroidetes, Proteobacteria and Spirochaetes and the major archaea were Methanosarcina, Methanosaeta and Methanoculleus [27,[34][35][36][37][38]. Bacterial profiles can exhibit very low variation within replicates and low variation in time [34] leading to low variations between experimental conditions.…”
Section: Resultsmentioning
confidence: 98%
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“…RSM has been widely used in wastewater treatment, since it enables us to better understand a process in terms of the interactions among the parameters that need to be optimized. Also RSM has been used in anaerobic treatment lately [17][18][19][20][21]].…”
Section: Introductionmentioning
confidence: 99%
“…Other inhibitory substances to AD of FW include volatile fatty acids and hydrogen sulfide [7]. Significant interactions among various feedstocks can affect microbial community diversity and methanogenic activity [41]. These challenges can lead to drawbacks such as lower methane yield and longer digestion time, hence larger digester installations.…”
Section: Organic Waste Characteristicsmentioning
confidence: 99%