Biogas production from high solids digestion of Pennisetum purpureum x Pennisetum typhoideum: Suitable conditions and microbial communities

The complexity of the microbial communities and metabolic pathways involved in the microbiological process of biogas production is poorly understood and numerous microorganisms in the fermentation sample of the biogas plant are still unclassified or unknown. The structure and function of microbial communities and the effects of the addition of trace elements are needed to be known, to control and channel the energy sources microbes produce and to capture and store the useful by-products or for targeted screening of novel enzymes. In this review, we discussed an emerging idea that Metagenome sequence data from a biogas-producing microbial community residing in a fermenter of a biogas plant provide the basis for a rational approach to improve the biotechnological process of biogas production. The composition and gene content of a biogas-producing consortium can be determined through metagenomic approach which allows the design of the optimal microbial community structure for any biogas plant for the significant progress in the efficacy and economic improvement of biogas production and biofertilizer of either balanced nutrition or rich in specific element for plant growth produced from the sludge of biogas plant. Biogas-producing microbial community from different production-scale biogas plants supplied with different raw materials as substrates can be analyzed by polyphasic approach to find out the best raw material composition for biogas production. The phylogenetic structure of the microbial community residing in a fermentation sample from a biogas plant can be analysed by an integrated approach using clone library sequences and metagenome sequence data obtained by 454-pyrosequencing. Int. J. Appl. Sci. Biotechnol. Vol 7(1): 6-11

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An overview of physico-chemical mechanisms of biogas production by microbial communities: a step towards sustainable waste management

3 Biotech ◽

10.1007/s13205-016-0395-9 ◽

2016 ◽

Vol 6 (1) ◽

Cited By ~ 25

Author(s):

Ramansu Goswami ◽

Pritam Chattopadhyay ◽

Arunima Shome ◽

Sambhu Nath Banerjee ◽

Amit Kumar Chakraborty ◽

...

Keyword(s):

Waste Management ◽

Microbial Communities ◽

Biogas Production ◽

Sustainable Waste Management ◽

Chemical Mechanisms ◽

Physico Chemical

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Impact of trace element addition on biogas production from food industrial waste - linking process to microbial communities

FEMS Microbiology Ecology ◽

10.1111/j.1574-6941.2010.00932.x ◽

2010 ◽

Vol 74 (1) ◽

pp. 226-240 ◽

Cited By ~ 110

Author(s):

Xin Mei Feng ◽

Anna Karlsson ◽

Bo H. Svensson ◽

Stefan Bertilsson

Keyword(s):

Microbial Communities ◽

Trace Element ◽

Industrial Waste ◽

Biogas Production ◽

Element Addition

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Kinetics of Diauxic Biogas Production from Energy Crops: Sunflower (Helianthus annus) and Napier Grass (Pennisetum purpureum) with Animal Manure

Current Journal of Applied Science and Technology ◽

10.9734/cjast/2021/v40i631316 ◽

2021 ◽

pp. 48-58

Author(s):

Christian C. Opurum ◽

Christian O. Nweke ◽

Christopher E. Nwanyanwu ◽

Nkemakolam A. Nwogu

Keyword(s):

Kinetic Parameters ◽

Biogas Production ◽

Logistic Function ◽

Energy Crops ◽

Napier Grass ◽

Pennisetum Purpureum ◽

Second Phase ◽

Function Model ◽

Biogas Yield ◽

Kinetics Of

This study evaluated the kinetics of diauxic-like pattern of biogas production from energy crops, Sunflower (SF) and Napier grass (NG) with cow dung (CD). The tests were performed in a batch reactor (R) operation for 60 days in R1 - R4 and 53 days in R5 - R8 under mesophilic conditions (24 - 36OC). The characteristics of the tested energy crops suggest that they hold prospects for bioenergy production. The cumulative biogas yield/gVS showed that the best performance was R1 with a biogas yield of 15.17 dm3 (0.046 dm3/gVS) followed by R3, 13.90 dm3 (0.041 dm3/gVS) and R2, 11.01dm3 (0.032 dm3/gVS). A significant difference (P ≤ 0.05) in biogas yield was found in the reactors charged with SF/CD as against SF only. In the reactors that exhibited biphasic biogas production profile, two (2) kinetic parameters, K1 and K2 were determined by the bi-logistic function model. It was observed that the predicted values in the second phase (K2) of biogas production were considerably higher than the first phase (K1) in R2 - R5 as opposed to R6 - R8, which implies more biogas yield in phase 2 than phase 1. The results indicate that anaerobic digestion of SF and NG had a strong positive influence on biogas yield, BP, PR and λ1 but not for λ2. The bi-logistic function model suitably fitted the experimental data with a high correlation coefficient (R2) in the range of 0.986 - 0.997. Based on the kinetic parameters, the bi-logistic function model is well suited for the simulation of diauxic-like biogas production process.

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