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Statistical optimization of cellulase production from Bacillus sp. YE16 isolated from yak dung of the Sikkim Himalayas for its application in bioethanol production using pretreated sugarcane bagasse.
- Source :
-
Microbiological Research . Apr2024, Vol. 281, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Cellulolytic bacteria were isolated from yak dung samples collected from different habitats of Sikkim, India. Isolate YE16 from the Yumthang Valley sample showed highest enzyme activity of 7.68 U/mL and was identified as Bacillus sp., which has a sequence similarity of 96.15% with B. velezensis. One factor at a time (OFAT) analysis revealed that an acidic pH of 5 with 37 °C temperature was optimum for maximum enzyme production after 36 hrs of incubation (13.88 U/mL), which was further increased after statistical optimization (34.70 U/mL). Media optimization based on response surface methodology predicted that Carboxymethyl cellulose (CMC) and MgSO 4 at concentrations of 30 g/L and 0.525 g/L, respectively, at pH 5.5 to show CMCase activity of 30.612 U/mL, which was consistent with the observed value of 30.25 U/mL and confirmed the model. The crude enzyme also efficiently hydrolyzed alkaline pretreated sugarcane bagasse, releasing 7.09 g/L of glucose equivalent with an ethanol production of 3.05 g. • Cellulolytic bacteria were isolated from dung samples of various habitats of Sikkim. • The isolate YE16 identified as Bacillus sp. showed highest enzyme activity. • Statistical optimization was performed to get an enzyme activity of 34.70 U/mL. • Crude enzyme was able to hydrolyze SCB releasing 7.09 g/L of glucose equivalent. • 3.05 g of ethanol was produced by S. cerevisiae using the enzyme hydrolysate. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BAGASSE
*BACILLUS (Bacteria)
*MANURES
*ETHANOL as fuel
*YAK
*MACHINE learning
Subjects
Details
- Language :
- English
- ISSN :
- 09445013
- Volume :
- 281
- Database :
- Academic Search Index
- Journal :
- Microbiological Research
- Publication Type :
- Academic Journal
- Accession number :
- 175393803
- Full Text :
- https://doi.org/10.1016/j.micres.2024.127623