Optimization of culture conditions for biohydrogen production from sago wastewater by Enterobacter aerogenes using Response Surface Methodology

Ulhiza, Tami Astie; Puad, Noor Illi Mohamad; Azmi, Azlin Suhaida

doi:10.1016/j.ijhydene.2018.10.057

Cited by 27 publications

(3 citation statements)

References 38 publications

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“…The most important components of bacteria's biological process medium are carbon and nitrogen [32]. The excess wheat bran in the fermentation media reduced the enzyme production.…”

Section: Figure 9 Desirability Ramp Of Endo-pectinase and Pectin Lyase Production For Numerical Optimization Of Three Independent Variablmentioning

confidence: 99%

Optimization of Endo-Pectinase and Pectin Lyase Production from Wheat Bran by Bacillus pumilus using Response Surface Methodology

Tepe

Dursun

2021

Gazi University Journal of Science

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“…The most important components of bacteria's biological process medium are carbon and nitrogen [32]. The excess wheat bran in the fermentation media reduced the enzyme production.…”

Section: Figure 9 Desirability Ramp Of Endo-pectinase and Pectin Lyase Production For Numerical Optimization Of Three Independent Variablmentioning

confidence: 99%

Optimization of Endo-Pectinase and Pectin Lyase Production from Wheat Bran by Bacillus pumilus using Response Surface Methodology

Tepe

Dursun

2021

Gazi University Journal of Science

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“…For the synergistic effect, the binary Cu 2+ /Na + , Na + /NH 4 + , and Na + /K + fall into this category (Figure 6B-D). These different ions will act as essential nutritious elements during metabolism at different stages of the growth of microbes [70][71][72]. For the growth pattern of microbes, there will normally be lagging, exponential, stationary, and death phases [73][74][75].…”

Section: Impact Of Ion Additionmentioning

confidence: 99%

A Review of Enhancement of Biohydrogen Productions by Chemical Addition Using a Supervised Machine Learning Method

Liu

et al. 2021

Energies

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In this work, the impact of chemical additions, especially nano-particles (NPs), was quantitatively analyzed using our constructed artificial neural networks (ANNs)-response surface methodology (RSM) algorithm. Fe-based and Ni-based NPs and ions, including Mg2+, Cu2+, Na+, NH4+, and K+, behave differently towards the response of hydrogen yield (HY) and hydrogen evolution rate (HER). Manipulating the size and concentration of NPs was found to be effective in enhancing the HY for Fe-based NPs and ions, but not for Ni-based NPs and ions. An optimal range of particle size (86–120 nm) and Ni-ion/NP concentration (81–120 mg L−1) existed for HER. Meanwhile, the manipulation of the size and concentration of NPs was found to be ineffective for both iron and nickel for the improvement of HER. In fact, the variation in size of NPs for the enhancement of HY and HER demonstrated an appreciable difference. The smaller (less than 42 nm) NPs were found to definitely improve the HY, whereas for the HER, the relatively bigger size of NPs (40–50 nm) seemed to significantly increase the H2 evolution rate. It was also found that the variations in the concentration of the investigated ions only statistically influenced the HER, not the HY. The level of response (the enhanced HER) towards inputs was underpinned and the order of significance towards HER was identified as the following: Na+ > Mg2+ > Cu2+ > NH4+ > K+.

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“…Various renewable organic wastes such as sake lees, cassava, sago, glycerol, rice straw, vegetable waste, food waste, date seeds, sugarcane molasses, corn stover, alligator weed, oil palm sap and wheat straw have been explored as the potential substrate for dark fermentative biohydrogen production (Chen et al 2021 ; Choiron et al 2020 ; Li et al 2020 ; Liu et al 2013 ; Moreno-Andrade et al 2015 ; Noparat et al 2012 ; Oliveira et al 2020 ; Panin et al 2020 ; Pason et al 2020 ; Rambabu et al 2020 ; Saleem et al 2020 ; Ulhiza et al 2018 ; Zhang et al 2011 ). Palm oil mill effluent (POME), a wastewater generated in large quantity during palm oil extraction process is another renewable organic waste of interest that is currently under intense investigations as biohydrogen production substrate (Abdullah et al 2020 ; Akhbari et al 2021 ; Audu et al 2021 ; Jamali et al 2019 ; Zainal et al 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Microbiomes of biohydrogen production from dark fermentation of industrial wastes: current trends, advanced tools and future outlook

Dzulkarnain

Audu

Dagang

et al. 2022

Bioresour. Bioprocess.

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Biohydrogen production through dark fermentation is very attractive as a solution to help mitigate the effects of climate change, via cleaner bioenergy production. Dark fermentation is a process where organic substrates are converted into bioenergy, driven by a complex community of microorganisms of different functional guilds. Understanding of the microbiomes underpinning the fermentation of organic matter and conversion to hydrogen, and the interactions among various distinct trophic groups during the process, is critical in order to assist in the process optimisations. Research in biohydrogen production via dark fermentation is currently advancing rapidly, and various microbiology and molecular biology tools have been used to investigate the microbiomes. We reviewed here the different systems used and the production capacity, together with the diversity of the microbiomes used in the dark fermentation of industrial wastes, with a special emphasis on palm oil mill effluent (POME). The current challenges associated with biohydrogen production were also included. Then, we summarised and discussed the different molecular biology tools employed to investigate the intricacy of the microbial ecology associated with biohydrogen production. Finally, we included a section on the future outlook of how microbiome-based technologies and knowledge can be used effectively in biohydrogen production systems, in order to maximise the production output.

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Optimization of culture conditions for biohydrogen production from sago wastewater by Enterobacter aerogenes using Response Surface Methodology

Cited by 27 publications

References 38 publications

Optimization of Endo-Pectinase and Pectin Lyase Production from Wheat Bran by Bacillus pumilus using Response Surface Methodology

Optimization of Endo-Pectinase and Pectin Lyase Production from Wheat Bran by Bacillus pumilus using Response Surface Methodology

A Review of Enhancement of Biohydrogen Productions by Chemical Addition Using a Supervised Machine Learning Method

Microbiomes of biohydrogen production from dark fermentation of industrial wastes: current trends, advanced tools and future outlook

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