Physical Characterization and Structure Elucidation of Exopolysaccharide from Marine Halotolerant Bacterium <i>Enterobacter cloacae</i> VHP-34

Patel, Vishal H; Shah, Kamlesh; Patel, Falguni R

doi:10.1089/ind.2023.0020

Industrial Biotechnology

2023

DOI: 10.1089/ind.2023.0020

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Physical Characterization and Structure Elucidation of Exopolysaccharide from Marine Halotolerant Bacterium Enterobacter cloacae VHP-34

Vishal H Patel,

Kamlesh Shah,

Falguni R Patel

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2024

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Cited by 2 publications

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Machine Learning-Based Optimization for Enhanced Pullulan Recovery from Aureobasidium pullulans

Sahu,

Mahanty,

Haldar

2024

Ind. Eng. Chem. Res.

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The solvent extraction protocol significantly influences the yield and purity of the exopolysaccharide recovery from cell-free broth. In this study, methanol, ethanol, isopropanol, acetone, and PEG-6000 were compared for the amount of pullulan recovery (PR), sucrose equivalent (SE), and protein impurity (PI) of the precipitate. The PR (7.0 g L −1 ) and SE (0.45 g g −1 ) from acetone had been significantly better than others. Quadratic and GA-optimized artificial neural network (ANN) models, developed from a central composite design, accurately predicted PR (R 2 : 0.996−0.998), SE (R 2 : 0.961−0.985), and PI (R 2 : 0.952−0.984) based on the pH, incubation time, and solvent-to-broth volume (S/B) ratio. Individually optimized PR (10.53 g L −1 ), SE (0.64 g g −1 ), and PI (1.05 mg g −1 ) from quadratic models are comparable to those obtained from ANN models. Multiobjective optimization with equal weighting suggests a moderate PR (quadratic model: 8.14 g L −1 , ANN: 6.77 g L −1 ) while maintaining SE and PI close to their optimal values. However, the relative importance of these objectives should be ascertained based on the intended application.

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Machine Learning-Based Optimization for Enhanced Pullulan Recovery from Aureobasidium pullulans

Sahu,

Mahanty,

Haldar

2024

Ind. Eng. Chem. Res.

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Bioprospecting of exopolysaccharides from the endophytic fungi Epicoccum sorghinum AMFS4, for its structure, composition, bioactivities and application in seed priming

Balasubramaniam,

Sakthivel,

Ramesh

et al. 2024

Natural Product Research

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The endophytic fungi, Epicoccum sorghinum AMFS4 was investigated for its metabolic components and composition of bioactive exopolysaccharides (EPS). Metabolic analysis of the ethyl acetate extract majorly detected sugars derivatives such as, 4-Cholesten-3-one semicarbazone (20.9%), D-Fructose (18.96%), and α-D-Galactopyranosiduronicacid (1.71%). The growth curve and EPS yield were determined as 12.22±1.02 g/L and 7.41±0.32 g/L (dry weight) respectively on day 8. The deproteined EPS has been characterized with pyranose ring linked by α-glycosidic bonds, composing fructose, galactose and glucose monosaccharides validated by HPLC. Total sugar content was found to be 93.18±0.81% with detection of proteins and uronate. The viscous EPS appeared filamentous under SEM observation and behaves as emulsifier with notable antioxidant properties. Priming of EPS on tomato seeds showed early induction of secondary rooting than in the control seedlings. Thus, E. sorghinum AMFS4 synthesizes bioactive EPS with simple carbohydrate structure, good water absorption and significant metabolic influence on seed germination.

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Physical Characterization and Structure Elucidation of Exopolysaccharide from Marine Halotolerant Bacterium Enterobacter cloacae VHP-34

Cited by 2 publications

References 44 publications

Machine Learning-Based Optimization for Enhanced Pullulan Recovery from Aureobasidium pullulans

Machine Learning-Based Optimization for Enhanced Pullulan Recovery from Aureobasidium pullulans

Bioprospecting of exopolysaccharides from the endophytic fungi Epicoccum sorghinum AMFS4, for its structure, composition, bioactivities and application in seed priming

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