An improved machine learning approach to estimate hemicellulose, cellulose, and lignin in biomass

Kartal, Furkan; Özveren, Uğur

doi:10.1016/j.carpta.2021.100148

Cited by 14 publications

(13 citation statements)

References 108 publications

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“…The VM (88.04%) obtained for obeche wood (Table 1) in this study is moderately higher than the 81.42% reported by (Adeleke et al, 2020) for woody biomass. The proximate analysis obtained from corncob (Table 1) shows that the VM (79.87%) is approximately equal to 77.14%, as reported by (Kartal and Ozveren, 2021). Similarly, the value FC (15.39%) in this study is within the same range reported by [59], whose values are 17.0%.…”

Section: Proximate Analysissupporting

confidence: 88%

Characterization of Lignocellulosic Biomass Samples in Omu-Aran Metropolis, Kwara State, Nigeria, as Potential Fuel for Pyrolysis Yields

Onokwai

Okokpujie

Ajisegiri

et al. 2022

Int. J. Renew. Energy Dev.

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This study deals with a preliminary investigation of biomass samples' physicochemical, structural composition, and thermal properties to aid the appropriate selection of biomass utilized for pyrolysis operation. The proximate, ultimate, structural composition and thermal analyses were conducted using seven lignocellulose biomass samples obtained in Ajase market, Ajasse Ipo, Kwara State, Nigeria, and Omu-Aran, Kwara State, Nigeria. Results showed that the average moisture contents (MC) ranged from 0.12 to 0.44%, and volatile matter (VM) ranged from 73.70 to 83.82%. Fixed carbon (FC) varied from 12.79 to 22.80%, and Ash contents varied between 01.20 to 5.52%. Similarly, the average carbon contents ranged from 45.11 to 50.00%. Hydrogen contents ranged from 5.38 to 6.15%, nitrogen contents varied between 0.20 to 1.24%, and oxygen contents from 43.79 to 48.51%. Also, sulphur contents varied between 0.01 to 0.19%, while the biomass species' average cellulose, hemicellulose, and lignin contents ranged from 28.34 to 45.80%, 25.83 to 34.01%, and 21.96 to 49.63% respectively. The high percentage of VM, C, H, HHV, ignitability index, cellulose, and hemicellulose content recorded in the biomass samples would enhance devolatilization reactivity, ignitability, and burn gases in the reactor, as well as a good production of hydrocarbons content during the pyrolysis process. Also, the low ash content would prevent harmful chemical deposits in the reactor during the pyrolysis process. It can be deduced that shea butter wood was best suited for biofuel generation, closely followed by sugarcane bagasse and palm kernel shell. At the same time, corn cobs possessed the least properties for the pyrolysis process.

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Section: Proximate Analysissupporting

confidence: 88%

Characterization of Lignocellulosic Biomass Samples in Omu-Aran Metropolis, Kwara State, Nigeria, as Potential Fuel for Pyrolysis Yields

Onokwai

Okokpujie

Ajisegiri

et al. 2022

Int. J. Renew. Energy Dev.

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“…The RSM has been employed to conceptualize the interaction effects among independent adsorption variables. 95 RSM uses the Box–Behnken Design (BBD) to investigate the interactions between different adsorption variables, for example, initial metal concentration, pH and biomaterial dose. The BBD works as a second-order polynomial equation.…”

Section: Progressions In Ann Framework For Optimizing Metal Adsorptio...mentioning

confidence: 99%

Application of neural network in metal adsorption using biomaterials (BMs): a review

Nighojkar

Zimmermann

Ateia

et al. 2023

Environ. Sci.: Adv.

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“…Accurate predictions help eradicate unnecessary repetitive physical experiments, but they also introduce novel rules, distinguish unexpected patterns, and even reveal relationships between input−output for nonlinear and wrapped data sets. 123,124 There are plenty of opportunities to further enhance the fusion of cellulose and MCRs in a more efficacious manner. For example, several well-known MCRs such as Groebke−Blackburn− Bienaymé(GBB), Strecker, Povarov, Mannich, Huisgen, and Gewald have not yet been investigated for the modification of cellulose substrates.…”

Section: ■ Conclusion and Prospectivementioning

confidence: 99%

“…Beside that, implementing docking as well as MD simulation could lead to more effective functionalization of cellulose whereby task-specific materials will be achieved. − Further, with the advent of machine learning approaches, researchers will be capable of designing more effective and specific macromolecules due to the fact that this computer-based approach helps with the identification of efficient reaction parameters from a large data set. Accurate predictions help eradicate unnecessary repetitive physical experiments, but they also introduce novel rules, distinguish unexpected patterns, and even reveal relationships between input–output for nonlinear and wrapped data sets. , There are plenty of opportunities to further enhance the fusion of cellulose and MCRs in a more efficacious manner. For example, several well-known MCRs such as Groebke–Blackburn–Bienaymé (GBB), Strecker, Povarov, Mannich, Huisgen, and Gewald have not yet been investigated for the modification of cellulose substrates.…”

Section: Conclusion and Prospectivementioning

confidence: 99%

Fusion of Cellulose and Multicomponent Reactions: Benign by Design

Yazdani

Hooshmand

Stenzel

2022

ACS Sustainable Chem. Eng.

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With increasing ecological and environmental concerns because of the extensive use of petroleum-based products, the use of natural resources for preparation of functional materials is of great public value. Cellulose is introduced as an ideal and promising biomaterial for widespread application which is obtained from biobased sources such as plants, biomass, or bacteria, relying on efficient, scalable, and facile methods. Generally, sulfation, silylation, esterification, phosphorylation, etherification, and oxidation are common reactions that were applied for functionalization of cellulose; however, multicomponent reactions (MCRs), surmised as versatile and assorted approaches, have been deployed for the modification of cellulose. The functionalized celluloses enjoyed various unique phenomena and properties which render them promising biomaterials for various applications ranging from biomedicine to catalysis. Herein, diverse types of prominent MCRs encompassing Biginelli, Hantzsch, Kabachnik−Fields, and Betti, as well as two paramount isocyanide-based MCRs, namely, Passerini and Ugi, have been used in cellulose functionalization. MCRs, which have emerged as significant platforms to generate cellulose-based materials with new properties, are reviewed here with special emphasis on modification, functionalization, and cutting-edge applications such as drug delivery, catalysis, C−H functionalization reaction, and emulsifier, among others.

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An improved machine learning approach to estimate hemicellulose, cellulose, and lignin in biomass

Cited by 14 publications

References 108 publications

Characterization of Lignocellulosic Biomass Samples in Omu-Aran Metropolis, Kwara State, Nigeria, as Potential Fuel for Pyrolysis Yields

Characterization of Lignocellulosic Biomass Samples in Omu-Aran Metropolis, Kwara State, Nigeria, as Potential Fuel for Pyrolysis Yields

Application of neural network in metal adsorption using biomaterials (BMs): a review

Fusion of Cellulose and Multicomponent Reactions: Benign by Design

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