scholarly journals Effect of post-treatment process of microalgal hydrolysate on bioethanol production

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Gyeongho Seon ◽  
Hee Su Kim ◽  
Jun Muk Cho ◽  
Minsik Kim ◽  
Won-Kun Park ◽  
...  
Keyword(s):  
Treatment Process ◽  
Ethanol Yield ◽  
Reactive Species ◽  
Post Treatment ◽  
Bioethanol Production ◽  
Microalgal Biomass ◽  
Promising Source ◽  
Bioethanol Yield ◽  
Post Treatment Process ◽  
Conventional Medium

Abstract Microalgae accumulate abundant lipids and are a promising source for biodiesel. However, carbohydrates account for 40% of microalgal biomass, an important consideration when using them for the economically feasible production of biodiesel. In this study, different acid hydrolysis and post-treatment processing of Chlorella sp. ABC-001 was performed, and the effect of these different hydrolysates on bioethanol yield by Saccharomyces cerevisiae KL17 was evaluated. For hydrolysis using H2SO4, the neutralization using Ca(OH)2 led to a higher yield (0.43 g ethanol/g sugars) than NaOH (0.27 g ethanol/g sugars). Application of electrodialysis to the H2SO4 + NaOH hydrolysate increased the yield to 0.35 g ethanol/g sugars, and K+ supplementation further enhanced the yield to 0.41 g ethanol/g sugars. Hydrolysis using HNO3 led to the generation of reactive species. Neutralization using only NaOH yielded 0.02 g ethanol/g sugars, and electrodialysis provided only a slight enhancement (0.06 g ethanol/g sugars). However, lowering the levels of reactive species further increased the yield to 0.25 g ethanol/g sugars, and K+ supplementation increased the yield to 0.35 g ethanol/g sugars. Overall, hydrolysis using H2SO4 + Ca(OH)2 provided the highest ethanol yield, and the yield was almost same as from conventional medium. This research emphasizes the importance of post-treatment processing that is modified for the species or strains used for bioethanol fermentation.

scholarly journals Post-treatment Process of Semi-solid Powder Rolling

2015 ◽  
Vol 28 (10) ◽  
pp. 1305-1315 ◽  
Author(s):  
Xia Luo ◽  
Yun-Zhong Liu ◽  
Bin Wang
Keyword(s):  
Treatment Process ◽  
Post Treatment ◽  
Powder Rolling ◽  
Semi Solid ◽  
Post Treatment Process

scholarly journals Evaluation of polyploid miscanthus lines usage efficiency as a feedstock for bioethanol production

2021 ◽  
Vol 29 ◽  
pp. 13-19
Author(s):  
R. Y. Blume ◽  
O.V. Melnychuk ◽  
S.P. Ozheredov ◽  
D.B. Rakhmetov ◽  
Y.B. Blume
Keyword(s):  
Sweet Sorghum ◽  
Second Generation ◽  
Ethanol Yield ◽  
Bioenergy Crops ◽  
Control Line ◽  
Bioethanol Production ◽  
Second Generation Bioethanol ◽  
Giant Miscanthus ◽  
First And Second Generation ◽  
Bioethanol Yield

Aim. Main aim of this research was the evaluation of theoretical bioethanol yield (per ha) from hexaploid giant miscanthus (Miscanthus х giganteus) and further comparison with conventional triploid form as well as with other bioethanol crops. Methods. Several mathematic functions were determined that describe yearly yield dynamics and equations, which were used in calculations of theoretical bioethanol yield. Results. The theoretical bioethanol yield was evaluated for different hexaploid miscanthus lines. The most productive in terms of ethanol yield were lines 108 and 202, from which potential bioethanol yield was found to be higher than in control line (6451 L/ha) by 10.7 % and 14.2% respectively and can reach 7144 L/ha and 7684 L/ha. Conclusions. It was determined that the most productive lines of polyploid miscanthus (lines 108 and 202) are able to compete with other plant cellulosic feedstocks for second-generation bioethanol production in Ukraine. However, these lines show bioethanol productivity than sweet sorghum, in the case when sweet sorghum is processed for obtainment of both first- and second-generation bioethanol. Keywords: bioenergy crops, biofuels, giant miscanthus, Miscanthus, polyploidy, second-generation bioethanol.

Highly Efficient Guanidinium‐Based Quasi 2D Perovskite Solar Cells via a Two‐Step Post‐Treatment Process

Small Methods ◽  
2019 ◽  
Vol 3 (11) ◽  
pp. 1900375 ◽  
Author(s):  
Yingzhu Zhang ◽  
Jiehuan Chen ◽  
Xiaomei Lian ◽  
Minchao Qin ◽  
Jun Li ◽  
...  
Keyword(s):  
Solar Cells ◽  
Treatment Process ◽  
Perovskite Solar Cells ◽  
Post Treatment ◽  
Highly Efficient ◽  
Post Treatment Process

scholarly journals Optimization of some fermentation conditions for bioethanol production from microalgae using response surface method

2019 ◽  
Vol 43 (1) ◽  
Author(s):  
Samar A. El-Mekkawi ◽  
Sayeda M. Abdo ◽  
Farag A. Samhan ◽  
Gamila H. Ali
Keyword(s):  
Algal Biomass ◽  
Treatment Plant ◽  
Pilot Scale ◽  
Simultaneous Optimization ◽  
High Rate ◽  
Bioethanol Production ◽  
Fermentation Time ◽  
Fermentation Conditions ◽  
Promising Source ◽  
Bioethanol Yield

Abstract Background Algal biomass fermentation is one of the promising alternatives for bioethanol production. The bioethanol yield relies on fermentation conditions as the algal biomass amount, the yeast volume (% v/v), and the fermentation time. In this work, algal biomass harvested from a pilot-scale high rate algal pond (HRAP) was fermented anaerobically using immobilized Saccharomyces cerevisiae (ATCC 4126). The HRAP was constructed at the Zenin wastewater treatment plant (WTP), Giza, Egypt. A separate hydrolysis fermentation process (SHF) was applied for algal biomass. The effect of the algal biomass amount, the yeast volume (% v/v), and the time of fermentation as three independent variables were studied simultaneously and analyzed statistically using Design-Expert software V6.0.8. Results The harvested algal biomass from HRAP contains 45% carbohydrates and was dominated by Microcystis sp. The results revealed that optimum bioethanol yield 18.57 g/L is achieved by fermenting 98.7 g/L algae using 15.09% of the volume immobilized yeast for 43.6 h with a 95% confidence interval. Conclusion Microalgae grown on wastewater are a promising source of bioethanol production. Maximizing the ethanol production is achieved by optimizing the fermentation parameters as algal biomass, fermentation time, and yeast volume percent. The simultaneous optimization of the parameters using a statistical program is an effective way to maximize the production and predict a model that describes the relationship between these parameters and their response. The prospective research is going to study the effect of these predicted parameters on continuous fermentation on the semi-pilot scale.

Preparation and Utilization of Alumina Oxide Membranes for Sensor Devices

2016 ◽  
Vol 851 ◽  
pp. 159-164 ◽  
Author(s):  
Hana Kynclová ◽  
Jiří Smilek ◽  
Petr Sedlacek ◽  
Jan Prášek ◽  
Martina Klučáková ◽  
...  
Keyword(s):  
Treatment Process ◽  
Post Treatment ◽  
Anodization Voltage ◽  
Free Standing ◽  
Alumina Membranes ◽  
Reversible Potential ◽  
Sensor Devices ◽  
Alumina Oxide ◽  
Oxide Membranes ◽  
Post Treatment Process

This work describes preparation process of free-standing alumina membranes used in sensor devices for separation or purification (increased selectivity, and sensitivity) purposes. Nanoporous alumina membranes were prepared using anodic oxidation of aluminium foil in two types of acidic electrolytes and characterized using scanning electron microscopy. Membranes with pore diameters of 90 nm and 30 nm and thicknesses of 115 µm and 163 µm respectively were obtained. Fabrication of membranes with different post-treatment was also done. In this post-treatment process, etching of non-anodized aluminium and opening of barrier layer were replaced with application of reversible potential with equal magnitude as anodization voltage.

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