Comprehensive analysis of important parameters of choline chloride-based deep eutectic solvent pretreatment of lignocellulosic biomass

Xu, Huanfei; Kong, Yi; Peng, Jianjun; Song, Xiaoming; Liu, Yaoze; Su, Zhenning; Li, Bin; Gao, Chuanhui; Tian, Wende

doi:10.1016/j.biortech.2020.124209

Cited by 88 publications

(40 citation statements)

References 40 publications

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“…The three variables that had the most critical impact were, in order of priority: (1) oil-water partition coefficient (logP), (2) acidity coefficient (pKa) and (3) the number of hydrogen bond donors of HBD. In contrast, the three operative variables that had the most crucial impact on the pretreatment of biomass were the temperature (T-R), the severity factor of reaction (R factor) and the ratio of HBD to HBA (DES ratio), respectively [82]. As mentioned above, the fractionation of lignocellulosic biomass occurs via a combined action of the displacement of the initial H-bond, which confers the supramolecular interactions in the lignocellulose, with new ones with the DES's components and the breaking of covalent bonds of the LCC (Figure 3).…”

Section: Use Of Des For the Treatment Of Lignocellulosic Biomassmentioning

confidence: 99%

Deep Eutectic Solvents for the Valorisation of Lignocellulosic Biomasses towards Fine Chemicals

Scelsi

Angelini

Pastore

2021

Biomass

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The growing demand for energy and materials in modern society pushes scientific research to finding new alternative sources to traditional fossil feedstocks. The exploitation of biomass promises to be among the viable alternatives with a lower environmental impact. Making biomass exploitation technologies applicable at an industrial level represents one of the main goals for our society. In this work, the most recent scientific studies concerning the enhancement of lignocellulosic biomasses through the use of deep eutectic solvent (DES) systems have been examined and reported. DESs have an excellent potential for the fractionation of lignocellulosic biomass: the high H-bond capacity and polarity allow the lignin to be deconvolved, making it easier to break down the lignocellulosic complex, producing a free crystallite of cellulose capable of being exploited and valorised. DESs offer valid alternatives of using the potential of lignin (producing aromatics), hemicellulose (achieving furfural) and cellulose (delivering freely degradable substrates through enzymatic transformation into glucose). In this review, the mechanism of DES in the fractionation of lignocellulosic biomass and the main possible uses for the valorisation of lignin, hemicellulose and cellulose were reported, with a critical discussion of the perspectives and limits for industrial application.

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Section: Use Of Des For the Treatment Of Lignocellulosic Biomassmentioning

confidence: 99%

Deep Eutectic Solvents for the Valorisation of Lignocellulosic Biomasses towards Fine Chemicals

Scelsi

Angelini

Pastore

2021

Biomass

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“…In the study by Xu et al, 42 key factors of DES pretreatment of lignocellulosic biomass procedure were handled by principal component analysis (PCA) and partial least squares analysis methods to raise the possible efficiency of this industrial procedure [181]. Another case where PCA and regression analysis were used synergistically is the work of Kollau et al [182].…”

Section: Optimization Of Experiments Using MLmentioning

confidence: 99%

“…Some studies [181,319] have focused on the dissolution of lignin from biomass. Muley et al [319] investigated lignin tetramers immersed in a DES consisting of oxalic acid and ChCl under external electric fields using MD simulations.…”

Section: Biomass Pretreatment By Desmentioning

confidence: 99%

Computer Simulations of Deep Eutectic Solvents. Challenges, Solutions, and Perspectives

Tolmachev¹,

Lukasheva²,

Рамазанов³

et al. 2021

Preprint

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Deep eutectic solvents (DESs) are one of the most rapidly evolving types of solvents, appearing in a broad range of applications such as nanotechnology, electrochemistry, biomass transformation, pharmaceuticals, membrane technology, biocomposite development, modern 3D-printing, and many others. The range of their applicability continues to expand, which demands the development of new DESs with improved properties. To do so requires an understanding of the fundamental relationship between the structure and properties of DESs. Computer simulation and machine learning techniques provide a fruitful approach as they can provide predictions, reveal physical mechanisms and readily be linked to experiments. This review is devoted to the computational research of DESs and describes technical features of DES simulations and the corresponding perspectives on various DES applications. The aim is to demonstrate the current frontiers of computational research of DESs and discuss future perspectives.

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“…A comprehensive review of DESs, fundamentals and applications can be found in the literature [ 3 , 4 ]. More recent applications include biomass pre-treatment [ 5 , 6 ], media for enzymatic hydrolysis [ 7 , 8 ], platform for lipase extraction [ 9 ], biodiesel production and purification [ 10 , 11 ], inhibiting shale hydration [ 12 ] and COVID-19 intervention [ 13 ]. In the specific area of solvent extraction, a few recent studies are worthy of review.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of hybrid solvents featuring choline chloride-based deep eutectic solvents and ethanol as extractants for the liquid–liquid extraction of benzene from n-hexane: towards a green and sustainable paradigm

2021

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Deep eutectic solvents (DESs) have high viscosities, but known to be mitigated by addition of suitable co-solvent. The effect of such co-solvent on the extraction efficiency of the hybrid solvent is hardly known. This study examined the effect of ethanol on three choline chloride-based DESs (glyceline, reline, and ethaline) by mixing each in turn with ethanol in various volume proportions. The hybrid solvents were evaluated for the extraction of benzene from n-hexane. Pseudo-ternary liquid–liquid equilibrium data were obtained using the refractive index method at 303 K and 1 atm for the systems, n-hexane (1) + benzene (2) + hybrid solvent (glyceline/ethanol, ethaline/ethanol, reline/ethanol) (3), and used to evaluate distribution coefficient (D) and selectivity (S). Furthermore, the physicochemical properties of the hybrid solvents were also determined. The results indicate increase in selectivity with increasing ethanol addition up to 50% and decrease with further addition. All hybrid solvents with 50% ethanol outperform sulfolane and are suitable replacement for same as green and sustainable extractant for aromatics from aliphatics. The glyceline + 50% ethanol emerged the overall best with 49.73% elevation in selectivity and 41.15% reduction in viscosity relative to the neat glyceline. The finding of this study is expected to fillip the drive for paradigm shift in petrochemical industries.

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Comprehensive analysis of important parameters of choline chloride-based deep eutectic solvent pretreatment of lignocellulosic biomass

Cited by 88 publications

References 40 publications

Deep Eutectic Solvents for the Valorisation of Lignocellulosic Biomasses towards Fine Chemicals

Deep Eutectic Solvents for the Valorisation of Lignocellulosic Biomasses towards Fine Chemicals

Computer Simulations of Deep Eutectic Solvents. Challenges, Solutions, and Perspectives

Evaluation of hybrid solvents featuring choline chloride-based deep eutectic solvents and ethanol as extractants for the liquid–liquid extraction of benzene from n-hexane: towards a green and sustainable paradigm

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