A review on the impact of choline chloride-based DES on sugarcane bagasse DOI

Raushan Quraishi,

Asma Musfira Shabbirahmed,

J. Joel

et al.

Chemical Engineering Communications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 31

Published: Dec. 30, 2024

Research focus has turned to sustainable and ecologically friendly energy sources due the growing dependence on nonrenewable fuels. The lignocellulosic biomass's (LCB) intrinsic recalcitrance makes bioprocess's downstream processing difficult. Over past 20 years, pretreatment procedures have drawn a lot of attention since they are acknowledged as essential operations for effective biomass refining. In order achieve more practices, deep eutectic solvents (DESs) proven be useful LCB valorization. DESs thermochemically stable, recyclable, non-flammable, contain very little vapor pressure. present article, an extensive summarization types, characteristics, functions in efficient conversion sugarcane bagasse is reviewed. addition outlining principles DES composition, overview provided factors influencing ChCl-DES-assisted extraction compositional components from bagasse. Furthermore, in-depth insight into mechanism behind ChCl-based-DES reactions will provide highlights future studies. most recent advancements years 2018–2023 DES-based valorization various products then thoroughly covered. Finally, paper concluded with discussion technical issues potential directions research works.

Language: Английский

(Deep) eutectic solvents for the separation of platinum group metals and rare earth elements: characteristics, extraction mechanisms and state of the art DOI Creative Commons

Sahar Gholami,

María Pérez-Page, Carmine D’Agostino

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159497 - 159497

Published: Jan. 1, 2025

Language: Английский

Citations

4

DESignSolvents: an open platform for the search and prediction of the physicochemical properties of deep eutectic solvents DOI
Valeria Odegova, Anastasia K. Lavrinenko,

Timur Rakhmanov

et al.

Green Chemistry, Journal Year: 2024, Volume and Issue: 26(7), P. 3958 - 3967

Published: Jan. 1, 2024

A web-resource, DESignSolvents, to provide users worldwide with the database of DES properties and corresponding prediction models.

Language: Английский

Citations

15

Review of ionic liquid and ionogel-based biomaterials for advanced drug delivery DOI Creative Commons
Muzammil Kuddushi, Ben Bin Xu, Naved I. Malek

et al.

Advances in Colloid and Interface Science, Journal Year: 2024, Volume and Issue: 331, P. 103244 - 103244

Published: June 26, 2024

Ionic liquids (ILs) play a crucial role in the design of novel materials. The ionic nature ILs provides numerous advantages drug delivery, acting as green solvent or active ingredient to enhance solubility, permeability, and binding efficiency drugs. They could also function structuring agent development nano/micro particles for including micelles, vesicles, gels, emulsion, more. This review summarize IL-based gel structures with their advanced delivery applications. first part focuses on formulation applications delivery. second offers comprehensive overview recent gel. It aims offer new perspectives attract more attention open up avenues biomedical gels.

Language: Английский

Citations

14

Applications of Functional Polymeric Eutectogels DOI Creative Commons
Alma Nicolau, Alexandra L. Mutch, Stuart C. Thickett

et al.

Macromolecular Rapid Communications, Journal Year: 2024, Volume and Issue: 45(21)

Published: July 15, 2024

Abstract Over the past two decades, deep eutectic solvents (DESs) have captured significant attention as an emergent class of that unique properties and applications in differing fields chemistry. One area where DES systems find utility is design polymeric gels, often referred to “eutectogels,” which can be prepared either using a replace traditional solvent, or monomers form part themselves. Due extensive network intramolecular interactions (e.g., hydrogen bonding) ionic species exist systems, eutectogels possess appealing material properties—high adhesive strength, tuneable viscosity, rapid polymerization kinetics, good conductivity, well high strength flexibility. In addition, non‐covalent crosslinking approaches are possible due inherent these materials. This review considers several key eutectogels, including organic electronics, wearable sensor technologies, 3D printing resins, adhesives, range various biomedical applications. The design, synthesis, discussed, addition advantages this synthetic approach comparison gel design. Perspectives on future directions field also highlighted.

Language: Английский

Citations

9

Dynamic Properties and Diverse Applications of Deep Eutectic Solvents DOI Creative Commons

Sanjeeta,

Ajay Singh,

Jyoti Kavirajwar

et al.

Journal of Ionic Liquids, Journal Year: 2025, Volume and Issue: 5(1), P. 100135 - 100135

Published: Jan. 29, 2025

Language: Английский

Citations

1

Eutectogels: The Multifaceted Soft Ionic Materials of Tomorrow DOI Creative Commons
Pablo A. Mercadal, Agustín González, Ana Beloqui

et al.

JACS Au, Journal Year: 2024, Volume and Issue: 4(10), P. 3744 - 3758

Published: Oct. 3, 2024

Eutectogels, a rising category of soft materials, have recently garnered significant attention owing to their remarkable potential in various domains. This innovative class materials consists eutectic solvent immobilized three-dimensional network structure. The use eco-friendly and cost-effective solvents further emphasizes the appeal these multiple applications. Eutectogels exhibit key characteristics most solvents, including environmental friendliness, facile preparation, low vapor pressure, good ionic conductivity. Moreover, they can be tailored display functionalities such as self-healing capability, adhesiveness, antibacterial properties, which are facilitated by incorporating specific combinations mixture constituents. perspective article delves into current landscape challenges associated with eutectogels, particularly focusing on applications CO

Language: Английский

Citations

7

eutXG: A Machine-Learning Model to Understand and Predict the Melting Point of Novel X-Bonded Deep Eutectic Solvents DOI
Lucas B. Ayres, M. Bandara, Colin D. McMillen

et al.

ACS Sustainable Chemistry & Engineering, Journal Year: 2024, Volume and Issue: 12(30), P. 11260 - 11273

Published: July 16, 2024

We present the application of an extreme gradient boosting model (eutXG) to predict melting point (MP) deep eutectic solvents (DES). The is based on XGBoost, a decision tree ensemble designed be highly scalable that enables superior training speed and prediction accuracy. selected model─trained with molecular fingerprints, molar ratios, chemical descriptors─enabled MPs DES average accuracy 97.6%, which represents difference just ±2.4% respect values reported in literature. Using SHapley Additive exPlanations (SHAP), further insights into relative importance different inputs used train machine learning were identified. Moreover, generalization ability eutXG was critically assessed by comparing predicted vs experimentally determined MP series novel halogen bonding, developed mixing tetraalkylammonium triiodide salts (NPe4I3 or NHex4I3) organoiodines, such as 1,2-diiodotetrafluorobenzene (o-F4DIB), 1,3-diiodotetrafluorobenzene (m-F4DIB), 2,5-diiodothiophene (2,5-DIT), demonstrating its actual only 2 K. Our results not reinforce having (at least some) representative data for step increase model's predictions but also demonstrate accelerate development applications this entirely new class hydrophobic DES, potentially impacting wide range fields from pharmaceuticals agrochemicals.

Language: Английский

Citations

6

Predicting deep eutectic solvents for absorption of SO2 based on multilayer perceptron DOI
Dian Jin, Youcai Zhu, Siyang Tang

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 353, P. 128594 - 128594

Published: June 29, 2024

Language: Английский

Citations

4

Machine Learning for Predicting and Optimizing Physicochemical Properties of Deep Eutectic Solvents: Review and Perspectives DOI
Francisco Javier López-Flores, César Ramírez‐Márquez, J. Betzabe González‐Campos

et al.

Industrial & Engineering Chemistry Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

This review explores the application of machine learning in predicting and optimizing key physicochemical properties deep eutectic solvents, including CO2 solubility, density, electrical conductivity, heat capacity, melting temperature, surface tension, viscosity. By leveraging learning, researchers aim to enhance understanding customization a critical step expanding their use across various industrial research domains. The integration represents significant advancement tailoring solvents for specific applications, marking progress toward development greener more efficient processes. As continues unlock full potential it is expected play an increasingly pivotal role revolutionizing sustainable chemistry driving innovations environmental technology.

Language: Английский

Citations

4

An integrated ML model for the prediction of the melting points, phase diagrams, and eutectic points of the Type III and V deep eutectic solvents DOI
Dian Jin,

Haotian He,

Li Sun

et al.

Chemical Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 121245 - 121245

Published: Jan. 1, 2025

Language: Английский

Citations

0