Journal
PROCESS BIOCHEMISTRY
Volume 96, Issue -, Pages 58-72Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.procbio.2020.05.025
Keywords
Microalgae; Chlorophyll; Carotenoids; Extraction efficiency; Green solvent; Artificial neural network modelling
Categories
Funding
- Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India [CRG/2018/002479]
- Ministry of Human Resource and Developments, Government of India
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Chlorophylls and carotenoids can be extracted from microalgae using various solvents. However, there is lack of studies regarding the comparison of extraction yield of these pigments from wet and dry microalgal biomass using different combination of cell disruption methods. Therefore, in this work, we have investigated the comparison of the extraction yield of chlorophylls and carotenoids from the wet and heat-dried microalgal biomass (isolated Chlorella thermophila) using ethanol. Extraction parameters such as homogenisation time, homogenisation speed, solvent temperature, solid-solvent ratio, boiling time and microwave time have been optimised. Chlorophyll extraction yield was observed to be 2.7 fold higher from wet biomass than dry biomass while carotenoid yield was 6.7 fold higher. Highest chlorophyll yield ( similar to 60 mg/g-dry biomass) was observed at 6 min of homogenisation time, 10,000 rpm, solid solvent ratio of 1 mg/mL and 58 degrees C of solvent temperature from wet biomass with extraction efficiency of similar to 94 %. Highest carotenoid yield was noticed following the same conditions of chlorophyll extraction except 4 degrees C of solvent temperature. The modelling of the extraction process was performed using artificial neural network (ANN) which may be useful for the scale-up of the extraction process at the industrial level.
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