Multi-stage pre-treatment of lignocellulosic biomass for multi-product biorefinery: A review

Wagle, Aditi; Angove, Michael J.; Mahara, Asmita; Wagle, Amrita; Mainali, Bandita; Martins, Manoela; Goldbeck, Rosana; Paudel, Shukra Raj

doi:10.1016/j.seta.2021.101702

Cited by 31 publications

(17 citation statements)

References 206 publications

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“…A more targeted pretreatment approach is always constructive in biomass valorization, which would help minimize energy and chemical consumption and achieve multi-stage utilization of all biomass components (Wagle et al, 2022). Establishing an accurate and reliable evaluation model to predict pretreatment e ciency is the cardinal procedure for realizing targeted separation or utilization of biomass.…”

Section: Resultsmentioning

confidence: 99%

Prediction of phosphoric acid plus hydrogen peroxide (PHP) pretreatment efficiency using artificial neural network modeling

Wang

Zhao

et al. 2022

Preprint

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Cellulose from lignocellulosic biomass is the most promising renewable feedstock which may become a substitute for petrochemical products. However, it is challenging to extract cellulose from biomass because of the structural resistance of lignocellulose. Phosphoric acid plus hydrogen peroxide (PHP) pretreatment is an efficient approach that might be applied to get the cellulose-enriched fraction (CEF) from biomass. This study employed the artificial neural network (ANN) to predict the PHP pretreatment efficiency. The critical conditions, including pretreatment time (t), temperature (T), H3PO4 concentration (Cp), and H2O2 concentration (Ch), were employed as input variables for the ANN model to predict the output variables: cellulose content (C-C), cellulose recovery (C-Ry), hemicellulose removal (H-Rl), and lignin removal (L-Rl). The key parameters of ANN models are selected depending on the root mean square errors (RMSE). ANN models' final optimal topological structure contains one hidden layer with 9, 10, 10, and 12 neurons for C-C, C-Ry, H-Rl, and L-Rl, respectively. The actual testing data fit the predicted data with an R2 of 0.8070–0.9989. Additionally, we computed the relative importance (RI) of input variables on output variables using the Garson equation with net weight matrixes. And the results revealed that Cp and Ch (RI 12.0–62.6%) impacted the effectiveness of PHP pretreatment primarily. T (RI 78.6%) dominates the removal efficacy of hemicellulose, and t (RI 9.5–24.6%) has less influence compared to the other conditions. The study provides insights into the optimization of biomass pretreatment.

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Section: Resultsmentioning

confidence: 99%

Prediction of phosphoric acid plus hydrogen peroxide (PHP) pretreatment efficiency using artificial neural network modeling

Wang

Zhao

et al. 2022

Preprint

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“…Lignocellulosic biomass is the most copious, low-cost, carbon-neutral, and high-energy density organic polymer present on this earth [32]. The production of renewable fuels from LCB not only boosts the global energy security, but also minimizes the wastes, helps rural economies, and reduces the environmental problems [33]. LCB is a heterogeneous polymeric complex composed of three major components i.e., cellulose (35-55%), hemicellulose (20-40%), and aromatic lignin (10-25%), and minor traces of protein, pectin, ash and other extractives (inorganics, waxes, fats, resin acids, phenolics) [11,34].…”

Section: Lignocellulose Composition and Structurementioning

confidence: 99%

“…The degree of polymerization (DP) of cellulose fibrils is approximately greater than 10,000. The uniform structure of cellulose fibrils is formed by inter-and intramolecular hydrogen bonding as well as covalent interactions which offers great tensile strength to cellulose, and make it resistant for various solvents [33]. Due to the presence of hydrogen bonding between hydroxyl groups in cellulose, different crystalline patterns with varying degrees of crystallinity are produced.…”

Section: Cellulosementioning

confidence: 99%

“…Apart from cellulose, hemicellulose and lignin polymers, LCB is also constituted by proteins, pectins, little amount of extractives like gums, terpenoids, fatty acids, chlorophyll, other phenolic substances, and mineral rich ash (K, Mg,Ca, Si) [33]. Contrary to lignocellulosic content, these components provide colour and smell to the wood, serve as energy storage units, and shield the plant species from microbial invasions [21].…”

Section: Other Componentsmentioning

confidence: 99%

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Valorization of Lignocellulosic Biomass into Biofuels and Value-Added Products for Sustainable Environment: A Comprehensive Review

Sharma¹,

Tsai²,

Sharma³

et al. 2022

Preprint

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An upsurge in global population over the years and rapid urbanization have accelerated huge dependence on petroleum-derived fuels and consequent environment concerns owing to green-house gas emissions in the atmosphere. An integrated biorefinery uses lignocellulosic feedstock as raw material for the production of renewable biofuels, and other fine chemicals. The sustain-able bio-economy and the biorefinery industry would benefit greatly from the effective use of lignocellulosic biomass obtained from agricultural feedstocks to replace petrochemical products. Lignin, cellulose, hemicellulose, and other extractives, which are essential components of ligno-cellulosic biomass, must be separated or upgraded into useful forms in order to fully realize the potential of biorefinery. The development of low-cost and green pretreatment technologies with effective biomass deconstruction potential is imperative for an efficient bioprocess. The abun-dance of microorganisms along with their continuous production of various degradative en-zymes makes them suited for the environmentally friendly bioconversion of agro-industrial wastes into viable bioproducts. The present review highlights the concept of biorefinery, ligno-cellulosic biomass and its valorization by green pretreatment strategies into biofuels and other biochemicals. The major barriers and challenges in bioconversion technologies, environmental sustainability of the bioproducts and promising solutions to alleviate those bottlenecks are also summarized.

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“…Lignocellulosic biomass (LCB) is considered a valuable ally in producing chemicals, fuels, and materials, being an abundant, renewable and carbon-fixing resource. In opposition to food biomass which can incur in the food versus fuel dilemma, LCB (second generation biomass) represents an excellent alternative feedstock in biorefinery [1,2]. In this context, the use of lignocellulosic biomass and its conversion to value-added chemicals and fuels has become increasingly widespread.…”

Section: Introductionmentioning

confidence: 99%

Role of solvent in enhancing the production of butyl levulinate from fructose

Bucchianico

Buvat

Mignot

et al. 2022

Fuel

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Multi-stage pre-treatment of lignocellulosic biomass for multi-product biorefinery: A review

Cited by 31 publications

References 206 publications

Prediction of phosphoric acid plus hydrogen peroxide (PHP) pretreatment efficiency using artificial neural network modeling

Prediction of phosphoric acid plus hydrogen peroxide (PHP) pretreatment efficiency using artificial neural network modeling

Valorization of Lignocellulosic Biomass into Biofuels and Value-Added Products for Sustainable Environment: A Comprehensive Review

Role of solvent in enhancing the production of butyl levulinate from fructose

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