Extraction of Starch from Marine Microalgae, Chlorella salina: Efficiency and Recovery View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Poh Ying Wong, Yuen Hing Lai, Soopna Puspanadan, Rozi Nuraika Ramli, Vuanghao Lim, Chee Keong Lee

ABSTRACT

The issues of plastic waste arise owing to the global increase in plastic demand, which has surpassed the plastic recycling rate. Microalgae have become a sustainable feedstock to produce biodegradable thermoplastic starch because of their high yield, high photosynthetic efficiency, ease of cultivation and eco-friendliness. This research was conducted to determine the efficiency of different methods for starch extraction and recovery. Starch was extracted through ultrasonication, bead-beating and physicochemical methods and then separated, dried and analysed with a Megazyme total starch analysis kit. Of these tested methods, the physicochemical method (90 °C, 30 min) was the most efficient method for starch extraction, where the starch increment was 323.05% ± 32.03% relative to the control. However, the bead-beating method was the most efficient method when starch recovery was conducted on Chlorella salina cells, exhibiting the highest increment (96.60% ± 2.73%). Therefore, the physicochemical and bead-beating methods were the viable methods for enhancing the efficiency of starch extraction and recovery, respectively. Physicochemical method (90 °C, 30 min) was the most efficient method for starch extraction.Bead-beating method was the most efficient method in starch recovery (96.60% ± 2.73%) from Chlorella salina cellsThe physicochemical and bead-beating methods were the ideal methods for starch extraction and recovery, respectively Physicochemical method (90 °C, 30 min) was the most efficient method for starch extraction. Bead-beating method was the most efficient method in starch recovery (96.60% ± 2.73%) from Chlorella salina cells The physicochemical and bead-beating methods were the ideal methods for starch extraction and recovery, respectively More... »

PAGES

1-11

References to SciGraph publications

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URI

http://scigraph.springernature.com/pub.10.1007/s41742-019-00173-0

DOI

http://dx.doi.org/10.1007/s41742-019-00173-0

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https://app.dimensions.ai/details/publication/pub.1112541283


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