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Subject: search.filters.subject.Microalgae

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Now showing 1 - 4 of 4
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    PublicationOpen Access
    Determination of the Growth Curve of Chlorella sp. under Optimum Conditions in Automated Growth Chambers for Biofuel Production
    (Sri Lanka Institute of Information Technology, 2023-03-25) Viduranga, S.A.V.; Balasooriya, B.L.W.K.; Bandara, N.G.C.
    Microalgae have a great potential for producing biofuels because of their capacity to accumulate high content of lipids. Chlorella sp. is the mostly applied microalgae sp. for biofuel production at the industrial level. The current study aimed to determine the optimum conditions for mass culture Chlorella sp. and to generate a growth curve to determine growth patterns over time. The samples were collected from Chlorella pure cultures available in the laboratory. Chlorella colonies were identified morphologically. Liquid cultures were prepared in BG 11 medium, The effects of four different temperatures (20°C, 25°C, 30°C, and 35°C), two light intensities (6000 lux and 2000 lux.) under aerated and non-aerated conditions on the growth of Chlorella cultures in 250 mL flasks (n=3) were studied using a custom-designed automated growth chamber using Arduino technology. The culture growth was monitored by determining the cell density (cells/ml) and light absorbance (750 nm) at 0, 96, 192, 288, and 384 hours after inoculation. and After 16 days, cells were harvested (6000 rpm, 5 min, room temperature) and the dry biomass (g/ml) was measured after oven drying at 70 °C. Optimal conditions for the efficient mass culture of Chlorella sp. were found as 30 °C temperature, 6000 lux light intensity with aeration conditions. Under those optimum growth conditions, 6L photo-bioreactors were designed. Absorbance and cell density (cells/ml) of Chlorella sp. were monitored with time to develop the growth curve of Chlorella sp. The growth of isolated Chlorella sp. was characterized by an exponential phase from 8.86 to 45.41 hr after inoculation with a specific growth rate of 0.06 hr-1 and a doubling time of 11.46 hr. The Chlorella growth rate was 0.027 hr-1 without optimum conditions, and the doubling time (Tg) was 25.6 hr.
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    PublicationEmbargo
    Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients
    (Elsevier, 2020-03-20) Liyanaarachchi, V. C; Nishshanka, G. K. S. H; Nimarshana, P. H.V; Ariyadasa, T. U; Attalage, R. A
    Artificial neural network (ANN) models can be trained to simulate the dynamic behavior of biological systems. In the present study, an ANN model was developed upon multilayer perceptron neural network architecture with 23-20-1 configuration to predict the cell concentration of microalga Chlorella vulgaris at a given time. Irradiance level, photoperiod, temperature, air flow rate, CO2 percentage of the air stream, initial cell concentration, cultivation time and the nutrient concentrations of the media were considered as the input variables of the model. Resilient backpropagation learning algorithm was used to train the model by means of 484 experimental data belonging to four studies. Bias and accuracy factors of the developed model fall into the range of 0.95–1.11 indicating the model has an excellent prediction ability. Parity plot showed a good agreement between the predicted and experimental values with R2 = 0.98. Relative importance of the inputs was evaluated using Garson’s algorithm. The results of the study indicated that CO2 supply had the highest impact on the growth of C. vulgaris within the selected range of input parameters. Among macronutrients and micronutrients, highest influence was demonstrated by nitrogen and copper respectively.
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    PublicationOpen Access
    Comparative assessment on the extraction of carotenoids from microalgal sources: Astaxanthin from H. pluvialis and β-carotene from D. salina
    (Elsevier, 2019-03-20) Rammuni, M N; Ariyadasa, Thilini U; Nimarshana, P. H. V; Attalage, R. A
    Astaxanthin and β-carotene are important carotenoids used in numerous pharmaceutical and nutraceutical applications, owing to their vigorous antioxidant properties. The microalgal strains Haematococcus pluvialis and Dunaliella salina accumulate the highest quantities of astaxanthin and β-carotene (up to 7% and 13% dry weight respectively) and are therefore considered as sustainable feedstock for the commercial production of carotenoids. Thus, from an economical perspective, it becomes desirable to optimize recovery of carotenoids from microalgal cells. To this end, here, we have summarized the conventional and modern extraction techniques generally used for the recovery of astaxanthin from Haematococcus pluvialis and β-carotene from Dunaliella salina. Furthermore, we have also discussed the optimum process conditions employed for numerous extraction protocols including solvent extraction, ultrasonic-assisted extraction (UAE), microwave-assisted extraction (MAE) and supercritical fluid extraction (SFE). Overall, our study highlights the sustainability of integrated co-production of biofuels and carotenoids in a biorefinery framework.
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    PublicationOpen Access
    Comparative assessment on the extraction of carotenoids from microalgal sources: Astaxanthin from H. pluvialis and β-carotene from D. salina
    (Elsevier, 2019-03-30) Rammuni, M N; Ariyadasa, Thilini U; Nimarshana, P H V; Attalage, R.A
    Astaxanthin and β-carotene are important carotenoids used in numerous pharmaceutical and nutraceutical applications, owing to their vigorous antioxidant properties. The microalgal strains Haematococcus pluvialis and Dunaliella salina accumulate the highest quantities of astaxanthin and β-carotene (up to 7% and 13% dry weight respectively) and are therefore considered as sustainable feedstock for the commercial production of carotenoids. Thus, from an economical perspective, it becomes desirable to optimize recovery of carotenoids from microalgal cells. To this end, here, we have summarized the conventional and modern extraction techniques generally used for the recovery of astaxanthin from Haematococcus pluvialis and β-carotene from Dunaliella salina. Furthermore, we have also discussed the optimum process conditions employed for numerous extraction protocols including solvent extraction, ultrasonic-assisted extraction (UAE), microwave-assisted extraction (MAE) and supercritical fluid extraction (SFE). Overall, our study highlights the sustainability of integrated co-production of biofuels and carotenoids in a biorefinery framework.