A machine learning-supported framework for predicting Nigeria’s optimal energy storage and emission reduction potentials DOI

Stanley Aimhanesi Eshiemogie,

Peace Precious Aielumoh,

Tobechukwu Okamkpa

et al.

Renewable energy focus, Journal Year: 2024, Volume and Issue: unknown, P. 100677 - 100677

Published: Dec. 1, 2024

Language: Английский

Xanthan gum: Secondary raw materials for biosynthesis, isolation and application DOI Creative Commons
Gabdulla F. Kurbanov, A. O. Prichepa, N. Yu. Sharova

et al.

Food systems, Journal Year: 2025, Volume and Issue: 7(4), P. 515 - 522

Published: Feb. 1, 2025

The inevitable consequence of population growth is the development agriculture and food production, which in turn has an impact on volumes secondary raw materials production. processing these can present significant challenges. One most effective solutions to this problem use microbiological synthesis create products with high added value. A notable example xanthan gum, a biopolymer that been utilized multitude industries, including food, oil, pharmaceutical, medicine. value gum contingent upon its distinctive physicochemical properties, particularly capacity enhance viscosity solutions. process obtaining conducted through fermentation liquid high-carbon media. primary producer bacterium Xanthomonas campestris , phytopathogen cruciferous plants, converts carbohydrates into commercial This literature review examines several topics related by X. particular attention paid success target product using production waste agricultural materials.

Language: Английский

Citations

0
Machine learning-based biological process optimization for low molecular weight welan gum production DOI
Yuying Wang, Zimeng Zhang, Tian-tian Zhang

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 142177 - 142177

Published: March 1, 2025

Language: Английский

Citations

0
Integrating waste management with biopolymer innovation: A new frontier in xanthan gum production DOI
Richard Vincent Asase, Т. В. Глухарева

Process Biochemistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Surfactant-facilitated metabolic induction enhances lipase production from an optimally formulated waste-derived substrate mix using Aspergillus niger: A case of machine learning modeling and metaheuristic optimization DOI
Andrew Nosakhare Amenaghawon,

Stanley Aimhanesi Eshiemogie,

Nelson Iyore Evbarunegbe

et al.

Bioresource Technology Reports, Journal Year: 2024, Volume and Issue: unknown, P. 101993 - 101993

Published: Nov. 1, 2024

Language: Английский

Citations

2
Characterization and evaluation of the adsorption of uremic toxins through the pyrolysis of pineapple leaves and peels and by forming a bio-complex with sodium alginate DOI
Ping‐Hsiu Huang, Yuwei Chen, Chih‐Hao Chen

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: unknown, P. 138843 - 138843

Published: Dec. 1, 2024

Language: Английский

Citations

0
A machine learning-supported framework for predicting Nigeria’s optimal energy storage and emission reduction potentials DOI

Stanley Aimhanesi Eshiemogie,

Peace Precious Aielumoh,

Tobechukwu Okamkpa

et al.

Renewable energy focus, Journal Year: 2024, Volume and Issue: unknown, P. 100677 - 100677

Published: Dec. 1, 2024

Language: Английский

Citations

0