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dc.contributor.authorAeujkom Saengwongen_US
dc.contributor.authorWichien Yongmanitchaien_US
dc.contributor.authorDuenrut Chonudomkulen_US
dc.date.accessioned2019-05-07T09:59:45Z-
dc.date.available2019-05-07T09:59:45Z-
dc.date.issued2018en_US
dc.identifier.issn0125-2526en_US
dc.identifier.urihttp://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8951en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/64061-
dc.description.abstractMicroalgae are an alternative potential source of squalene because they grow rapidly, relatively easy to culture and accumulate large amounts of squalene. The objectives of this research are to isolate and screen squalene producing heterotrophic microalgae from mangrove forests of Thailand and to optimize culture conditions. Five hundred and eighty-five strains of the microalgae were isolated from the mangrove forests along the gulf of Thailand and southern, Thailand. After screening, the isolate S02-459 was selected for further studied due to its high squalene content. Sequencing of partial 18S rRNA gene revealed that it belong to the genus Aurantiochytrium. Evaluation of eight factors influencing growth and squalene accumulation, i.e., glucose concentration, yeast extract, peptone, monosodium glutamate, pH, shaking speed, salinity and temperature were carried out by using Plackett-Burman design. Four factors, namely, glucose concentration, yeast extract concentration, peptone concentration and shaking speed were significantly (p<0.05) affected biomass and squalene production. Central Composite design was employed for optimized these four parameters for enhancement the squalene production. These factors were assessed using quadratic model. The coefficient of determination (R2) of more than 0.9 and p-value less than 0.05 indicated that the model was acceptable. The optimized conditions from CCD showed that 30 g/L of glucose, 5.0 g/L of yeast extract, 20 g/L of peptone and shaking speed at 75 rpm were appropriate. Verifications of the predicted values were 41.19±1.86 mg/L of squalene production and 10.85±0.10 mg/g cell dry weight of squalene content. The deviation of experimental values and predicted values for squalene production and content were -1.81% and -6.78%, respectively.en_US
dc.languageEngen_US
dc.publisherScience Faculty of Chiang Mai Universityen_US
dc.titleScreening and Optimization of Squalene Production from Microalgae Aurantiochytrium sp.en_US
dc.typeบทความวารสารen_US
article.title.sourcetitleChiang Mai Journal of Scienceen_US
article.volume45en_US
article.stream.affiliationsDepartment of Microbiology, Faculty of Science, Kasetsart University, Bangkok. 10900, Thailand.en_US
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