Application of Hemicellulose in Biohydrogen Production

Akubude, Vivian C.; Okafor, Victor Chijioke; Oyedokun, J. A.; Petinrin, O. O.; Nwaigwe, Kevin N.

doi:10.1007/978-3-030-61837-7_19

Cited by 4 publications

(3 citation statements)

References 103 publications

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Section: Other Methodsmentioning

confidence: 99%

“…Hydrogen can also be produced from hemicellulose obtained from the hydrolysis of lignocellulosic materials (Akubude et al, 2021). Hemicellulose can be extracted from various plant materials, including agricultural residues, and converted into hydrogen via dark fermentation (Akubude et al, 2021). During dark fermentation, hemicellulose is broken down by microorganisms in the absence of light, and the resulting organic acids are then converted into hydrogen gas through a series of biochemical reactions.…”

Section: Other Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Machine learning in biohydrogen production: a review

Alagumalai¹,

Balaji

Shu

et al. 2023

Biofuel Res. J.

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Biohydrogen is emerging as a promising carbon-neutral and sustainable energy carrier with high energy yield to replace conventional fossil fuels. However, biohydrogen commercial uptake is mainly hindered by the supply side. As a result, various operating parameters must be optimized to realize biohydrogen commercial uptake on a large-scale. Recently, machine learning algorithms have demonstrated the ability to handle large amounts of data while requiring less in-depth knowledge of the system and being capable of adapting to evolving circumstances. This review critically reviews the role of machine learning in categorizing and predicting data related to biohydrogen production. The accuracy and potential of different machine learning algorithms are reported. Also, the practical implications of machine learning models to realize biohydrogen uptake by the transportation sector are discussed. The review indicates that machine learning algorithms can successfully model non-linear and complex interactions between operational and performance parameters in biohydrogen production. Additionally, machine learning algorithms can help researchers identify the most efficient methods for producing biohydrogen, leading to a more sustainable and cost-effective energy source.

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Section: Other Methodsmentioning

confidence: 99%

Section: Other Methodsmentioning

confidence: 99%

Machine learning in biohydrogen production: a review

Alagumalai¹,

Balaji

Shu

et al. 2023

Biofuel Res. J.

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“…After cellulose, hemicelluloses are the second most abundant polysaccharides in nature, representing a promising source of renewable materials to obtain the high-value products [12][13][14][15][16][17]. Xylans are the largest groups of hemicelluloses that are not currently used in food production.…”

Section: Introductionmentioning

confidence: 99%

Green Approaches on Modification of Xylan Hemicellulose to Enhance the Functional Properties for Food Packaging Materials—A Review

2023

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Based on the environmental concerns, the utilisation of hemicelluloses in food packaging has become a sustainable alternative to synthetic polymers and an important method for the efficient utilisation of biomass resources. After cellulose, hemicellulose is a second component of agricultural and forestry biomass that is being taken advantage of given its abundant source, biodegradability, nontoxicity and good biocompatibility. However, due to its special molecular structure and physical and chemical characteristics, the mechanical and barrier properties of hemicellulose films and coatings are not sufficient for food packaging applications and modification for performance enhancement is needed. Even though there are many studies on improving the hydrophobic properties of hemicelluloses, most do not meet environmental requirements and the chemical modification of these biopolymers is still a challenge. The present review examines emerging and green alternatives to acetylation for xylan hemicellulose in order to improve its performance, especially when it is used as biopolymer in paper coatings or films for food packaging. Ionic liquids (ILs) and enzymatic modification are environmentally friendly methods used to obtain xylan derivatives with improved thermal and mechanical properties as well as hydrophobic performances that are very important for food packaging materials. Once these novel and green methodologies of hemicellulose modifications become well understood and with validated results, their production on an industrial scale could be implemented. This paper will extend the area of hemicellulose applications and lead to the implementation of a sustainable alternative to petroleum-based products that will decrease the environmental impact of packaging materials.

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Microwave expansion pretreatment for enhancing microwave-assisted alkaline extraction of hemicellulose from bagasse

Xiao

Zhang

et al. 2022

Biomass Conv. Bioref.

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Application of Hemicellulose in Biohydrogen Production

Cited by 4 publications

References 103 publications

Machine learning in biohydrogen production: a review

Machine learning in biohydrogen production: a review

Green Approaches on Modification of Xylan Hemicellulose to Enhance the Functional Properties for Food Packaging Materials—A Review

Microwave expansion pretreatment for enhancing microwave-assisted alkaline extraction of hemicellulose from bagasse

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