Biofuel conversion of Chlorococcum sp. and Scenedesmus sp. biomass by one- and two-step transesterification

Tsavatopoulou, Vasiliki D.; Aravantinou, Andriana F.; Manariotis, Ioannis D.

doi:10.1007/s13399-019-00541-y

Cited by 26 publications

(10 citation statements)

References 56 publications

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“…Microalgae extracts grown on wastewater can be converted into different forms of biofuels such as biogas, biodiesel, bioethanol, kerosene and biohydrogen through a series of conversion processes such as anaerobic digestion, transesterification, fermentation, gasification, pyrolysis, hydrothermal liquefaction (HTL), etc. (Speranza et al, 2015;Tsavatopoulou et al, 2019). As said earlier, algal biomass composition is made up of protein, lipids, carbohydrates, ash, and a range of minor constituents, such as nucleic acids, pigments, etc.…”

Section: Bioenergymentioning

confidence: 99%

“…The transesterification process can take place in one or two steps using acidic and/or basic catalysts. Depending on the process and on the type of microalgae employed, the yields of biodiesel varies significantly (Tsavatopoulou et al, 2019). Several studies have shown that under stressful conditions, such as nutrient deficiency, lipid content in microalgae increase (Ruiz et al, 2013;Zuliani et al, 2016).…”

Section: Bioenergymentioning

confidence: 99%

See 1 more Smart Citation

Bio-products from algae-based biorefinery on wastewater: A review

Catone

Ripa

Geremia

et al. 2021

Journal of Environmental Management

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Section: Bioenergymentioning

confidence: 99%

Section: Bioenergymentioning

confidence: 99%

Bio-products from algae-based biorefinery on wastewater: A review

Catone

Ripa

Geremia

et al. 2021

Journal of Environmental Management

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“…and Scenedesmus sp. : for which there have been various investigations in relation to the algal biomass growth rates and biochemical content mainly composed of proteins (up to 70%) and also polyunsaturated fatty acids and vitamins (Markou et al, 2019;Tsavatopoulou et al, 2019). • Nannochloropsis sp.…”

Section: Logical Architecture Of the System And Case Studymentioning

confidence: 99%

Optimizing Microalgal Biomass Feedstock Selection for Nanocatalytic Conversion Into Biofuel Clean Energy, Using Fuzzy Multi-Criteria Decision Making Processes

2021

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Biofuel production from microalgae non-food feedstock is a challenge for strengthening Green energy nowadays. Reviewing the current technology, there is still reluctance in investing towards the production of new algal strains that yield more oil and maximize capital gains. In the current work, the microalgal feedstock selection problem is investigated for increased lipid production and nano-catalytic conversion into clean biofuel. For that purpose, a variety of Fuzzy Multi-Criteria Decision Making processes and a multitude of Optimization criteria spanning to technological, environmental, economic, and social aspects are used. The strains selected for the analysis are Chlorella sp., Schizochytrium sp., Spirulina sp., and Nannochloropsis sp. The methods applied are fuzzy analytic hierarchy process, FTOPSIS (fuzzy technique for the order of preference to the ideal solution), and FCM (fuzzy cognitive mapping). Pairwise comparison matrices were calculated using data from extensive literature review. All aforementioned fuzzy logic methodologies are proven superior to their numeric equivalent under uncertain factors that affect the decision making, such as cost, policy implications, and also geographical and seasonal variation. A major finding is that the most dominant factor in the strain selection is the high lipid content. Moreover, the results indicate that the Chlorella Vulgaris microalgae is ranked as the best choice by the FTOPSIS method followed by the Nannochloropsis strain, and Spirulina Platensis was found to be the last in performance. The best and worst case scenario run with FCM experimentally verify this choice indicating that Chlorella Vulgaris follows this trend of selection mostly with the technological and the economic criteria for both the sigmoid and the hyperbolic tangent deep-learning functions used.

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“…Under the frame of a circular economy, some recent articles have examined the use of microalgae for DWW treatment 8–10 and for the production of valuable biomass 11–14 . Qin et al 15 .…”

Section: Introductionmentioning

confidence: 99%

“…Under the frame of a circular economy, some recent articles have examined the use of microalgae for DWW treatment [8][9][10] and for the production of valuable biomass. [11][12][13][14] Qin et al 15 used pretreated DWW and reported that the lipid content of Chlorella vulgaris ranged up to 14.4%. Asadi et al 8,12 reported important removal of chemical oxygen demand (COD) and nutrients in batch experiments with Chlorella sorokiniana that was grown in preliminary and secondary treated DWW, while its lipid content ranged up to 35%.…”

Section: Introductionmentioning

confidence: 99%

Treatment of different dairy wastewater with Chlorella sorokiniana: removal of pollutants and biomass characterization

Iliopoulou

Zkeri

Panara

et al. 2022

J of Chemical Tech & Biotech

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BACKGROUND: There is a continuous need for the development of novel processes for the sustainable management of dairy wastewater. The use of microalgae for wastewater decontamination and production of valuable biomass seems a promising alternative; however, limited information currently exists on the chemical characteristics of the biomass cultivated in effluents from the dairy industry. In this paper, experiments were carried out with the microalga Chlorella sorokiniana and different types of dairy effluents (raw dairy wastewater, anaerobically treated dairy wastewater, cheese whey). The collected biomass was characterized for the existence of proteins, starch, lipids, lutein, ⊎-carotene, polyphenolic compounds and amino acids.RESULTS: The removal of chemical oxygen demand and NH 4 -N was higher than 91% and 80%, respectively, for all types of dairy effluents, while the removal of total phosphorus ranged between 20% and 84%. The protein, starch and lipid contents of the microalgal biomass ranged between 28.6% and 52.8%, 10.5% and 13.3%, and 36.8% and 40.2%, respectively. The concentration of lutein increased after treatment, reaching values up to 508 mg kg −1 , whereas amino acid concentrations were decreased due to nitrogen inefficiency. The biomass cultivated in anaerobically treated dairy wastewater was characterized by the higher total phenolic content; tyrosol concentration reached 20.2 mg kg −1 . CONCLUSION: Chlorella sorokiniana can efficiently remove the major pollutants from effluents of dairy industry, while the produced biomass is a source of proteins, carbohydrates and lipids. Additionally, it contains important amounts of pigments, phenolic compounds and amino acids. Further research is required for the conditions that achieve optimal biochemical characteristics of the produced biomass.

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Biofuel conversion of Chlorococcum sp. and Scenedesmus sp. biomass by one- and two-step transesterification

Cited by 26 publications

References 56 publications

Bio-products from algae-based biorefinery on wastewater: A review

Bio-products from algae-based biorefinery on wastewater: A review

Optimizing Microalgal Biomass Feedstock Selection for Nanocatalytic Conversion Into Biofuel Clean Energy, Using Fuzzy Multi-Criteria Decision Making Processes

Treatment of different dairy wastewater with Chlorella sorokiniana: removal of pollutants and biomass characterization

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