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Optimisation of biomass, exopolysaccharide and intracellular polysaccharide production from the mycelium of an identified ganoderma lucidum strain qrs 5120 using response surface methodology

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dc.citedby2
dc.contributor.affiliationsPERMATA Insan College
dc.contributor.affiliationsUniversity of Malaya (UM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversity of Belgrade
dc.contributor.authorSupramani S.en_US
dc.contributor.authorAhmad R.en_US
dc.contributor.authorIlham Z.en_US
dc.contributor.authorAnnuar M.S.M.en_US
dc.contributor.authorKlaus A.en_US
dc.contributor.authorWan-Mohtar W.A.A.Q.I.en_US
dc.date.accessioned2024-05-28T08:24:24Z
dc.date.available2024-05-28T08:24:24Z
dc.date.issued2019-01-22
dc.descriptionAIMS Microbiology Volume 5, Issue 1, 19–38.en_US
dc.description.abstractWild-cultivated medicinal mushroom Ganoderma lucidum was morphologically identified and sequenced using phylogenetic software. In submerged-liquid fermentation (SLF), biomass, exopolysaccharide (EPS) and intracellular polysaccharide (IPS) production of the identified G. lucidum was optimised based on initial pH, starting glucose concentration and agitation rate parameters using response surface methodology (RSM). Molecularly, the G. lucidum strain QRS 5120 generated 637 base pairs, which was commensurate with related Ganoderma species. In RSM, by applying central composite design (CCD), a polynomial model was fitted to the experimental data and was found to be significant in all parameters investigated. The strongest effect (p < 0.0001) was observed for initial pH for biomass, EPS and IPS production, while agitation showed a significant value (p < 0.005) for biomass. By applying the optimized conditions, the model was validated and generated 5.12 g/L of biomass (initial pH 4.01, 32.09 g/L of glucose and 102 rpm), 2.49 g/L EPS (initial pH 4, 24.25 g/L of glucose and 110 rpm) and 1.52 g/L of IPS (and initial pH 4, 40.43 g/L of glucose, 103 rpm) in 500 mL shake flask fermentation. The optimized parameters can be upscaled for efficient biomass, EPS and IPS production using G. lucidum.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3934/microbiol.2019.1.19
dc.identifier.epage38
dc.identifier.isiWOS:000465000400002
dc.identifier.issn24711888
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85064084285
dc.identifier.spage19
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85064084285&doi=10.3934%2fmicrobiol.2019.1.19&partnerID=40&md5=649491fb392e41ebf7073afff6d7aad7
dc.identifier.urihttp://www.aimspress.com/journal/microbiology
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8470
dc.identifier.volume5
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherAIMS Pressen_US
dc.relation.ispartofAIMS Microbiologyen_US
dc.sourceScopus
dc.subjectExopolysaccharideen_US
dc.subjectGanoderma lucidumen_US
dc.subjectIntracellular polysaccharideen_US
dc.subjectResponse surface methodologyen_US
dc.subjectSubmerged-liquid fermentationen_US
dc.titleOptimisation of biomass, exopolysaccharide and intracellular polysaccharide production from the mycelium of an identified ganoderma lucidum strain qrs 5120 using response surface methodologyen_US
dc.typeArticleen_US
dspace.entity.typePublication

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