Bioethanol production from acidic and enzymatic hydrolysates of mixed microalgae culture

Shokrkar, Hanieh; Ebrahimi, Sirous; Zamani, Mehdi

doi:10.1016/j.fuel.2017.03.090

Cited by 132 publications

(57 citation statements)

References 35 publications

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“…Mixed microalgae (collected from a freshwater located in Oskou, East Azarbayjan, Iran) were precultured in our previous study and then inoculated into a photo‐bioreactor. The microalgae were cultivated in the medium as reported in our previous work . The rectangular photo‐bioreactor used in this study is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…The total suspended solids (TSS) and volatile suspended solids (VSS) of microalgal biomass were measured as described elsewhere and the Dinitrosalicylic acid (DNS) method, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…The microalgae were cultivated in the medium as reported in our previous work. 27 The rectangular photo-bioreactor In the Field: Hydrolysis of microalgal carbohydrates for bioethanol production H Shokrkar, S Ebrahimi (Knauer-Germany) in which column oven temperature was adjusted to 65 (°C). In addition, the mobile phase was 0.01 N sulfuric acid with a flow rate of 1 mL min −1 .…”

Section: Biomass Collection and Preparationmentioning

confidence: 99%

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Synergism of cellulases and amylolytic enzymes in the hydrolysis of microalgal carbohydrates

Shokrkar

Ebrahimi

2018

Biofuels Bioprod Bioref

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This study aimed to evaluate the synergism of cellulases and amylolytic enzymes in the hydrolysis of microalgal carbohydrates for bioethanol production. The effect of β‐glucosidase on the hydrolysis of algal cellulose, and the comparison between the effect of the addition of α‐amylase and amyloglucosidase separately or together on the hydrolysis of algal starch, have not been described previously. Results showed that β‐glucosidases promoted the enzymatic hydrolysis of algal cellulose as a result of the increase in the glucose production rate and the decrease in the inhibition by cellobiose. It was also beneficial to carry out the hydrolysis of algal starch using the mixture of α‐amylase and amyloglucosidase. The results obtained revealed that, in enzymatic hydrolysis experiments, simultaneous treatment with Celluclast 1.5 L, β‐glucosidase, α‐amylase, and amyloglucosidase was a promising strategy to reduce the hydrolysis time required to achieve a higher yield of glucose. Subsequently, fermentation of enzymatic hydrolysates of microalgae using Saccharomyces cerevisiae showed a yield of 0.126 g ethanol / g dried algae. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd

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Section: Methodsmentioning

confidence: 99%

“…The total suspended solids (TSS) and volatile suspended solids (VSS) of microalgal biomass were measured as described elsewhere and the Dinitrosalicylic acid (DNS) method, respectively.…”

Section: Methodsmentioning

confidence: 99%

Section: Biomass Collection and Preparationmentioning

confidence: 99%

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Synergism of cellulases and amylolytic enzymes in the hydrolysis of microalgal carbohydrates

Shokrkar

Ebrahimi

2018

Biofuels Bioprod Bioref

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“…to the environment that turns down environmental pollution . Apart from this, the amount of CO 2 produced during fermentation of algal sugars to bioethanol can be fed to the microalgal culture as a microalgal growth component .

6 {CO}_{2} + 12 H_{2} normalO + Light \to C_{6} H_{12} O_{6} ((), Carbohydrate) + 6 O_{2} + 6 H_{2}

…”

Section: Introductionmentioning

confidence: 99%

Techno‐economics and Sensitivity Analysis of Microalgae as Commercial Feedstock for Bioethanol Production

Hossain

Mahlia

Zaini

et al. 2019

Env Prog and Sustain Energy

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The foremost purpose of this techno‐economic analysis (TEA) modeling was to predict a harmonized figure of comprehensive cost analysis for commercial bioethanol generation from microalgae species in Brunei Darussalam based on the conventional market scenario. This model was simulated to set out economic feasibility and probabilistic assumption for large‐scale implementations of a tropical microalgae species, Chlorella vulgaris, for a bioethanol plant located in the coastal area of Brunei Darussalam. Two types of cultivation systems such as closed system (photobioreactor—PBR) and open pond approaches were anticipated for a total approximate biomass of 220 t year−1 on 6 ha coastal areas. The biomass productivity was 56 t ha−1 for PBR and 28 t ha−1 for pond annually. The plant output was 58.90 m3 ha−1 for PBR and 24.9 m3 ha−1 for pond annually. The total bioethanol output of the plant was 57,087.58 gal year−1 along with the value added by‐products (crude bio‐liquid and slurry cake). The total production cost of this project was US$2.22 million for bioethanol from microalgae and total bioethanol selling price was US$2.87 million along with the by‐product sale price of US$1.6 million. A sensitivity analysis was conducted to forecast the uncertainty of this conclusive modeling. Different data sets through sensitivity analysis also presented positive impacts of economical and environmental views. This TEA model is expected to be initialized to determine an alternative energy and also minimize environmental pollution. With this current modeling, microalgal‐bioethanol utilization mandated with gasoline as well as microalgae cultivation, biofuel production integrated with existing complementary industries, are strongly recommended for future applications. © 2019 American Institute of Chemical Engineers Environ Prog, 38:e13146, 2019

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“…Different microorganisms can produce bioethanol. However, yeasts, and in particular strains of Saccharomyces cerevisiae , are the primary microorganisms for bioethanol production and are capable of fermenting the main sugar feedstock such as glucose, fructose, and sucrose under large‐scale industrial production conditions . Ethanol tolerance and high ethanol yield make S. cerevisiae a promising and economically feasible strain for large‐scale bioethanol production …”

Section: Introductionmentioning

confidence: 99%

Model‐based evaluation of continuous bioethanol production plant

Shokrkar

Abbasabadi

Ebrahimi

2018

Biofuels Bioprod Bioref

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In this study, a mathematical model has been developed to evaluate the performance of industrial‐scale bioethanol production from molasses by Saccharomyces cerevisiae in a series of bioreactors operated in continuous mode. The model was based on three simple metabolic pathways in the yeast including molasses fermentation, molasses oxidation, and ethanol oxidation. The model parameters were estimated using the AQUASIM software by minimizing the error between measurements and calculated results. Results show that the model predictions agree well with the experimental results. The model is a useful tool to predict volumes, levels, discharge flow, bioethanol, and biomass concentrations in each bioreactor during the process. As it is not practical to make changes in steady‐state continuous operation processes, the model can also be used to optimize the process performance and to increase the biomass and ethanol yields. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd

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Bioethanol production from acidic and enzymatic hydrolysates of mixed microalgae culture

Cited by 132 publications

References 35 publications

Synergism of cellulases and amylolytic enzymes in the hydrolysis of microalgal carbohydrates

Synergism of cellulases and amylolytic enzymes in the hydrolysis of microalgal carbohydrates

Techno‐economics and Sensitivity Analysis of Microalgae as Commercial Feedstock for Bioethanol Production

Model‐based evaluation of continuous bioethanol production plant

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