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Chitosan is a versatile and generous biopolymer obtained by alkaline deacetylation of naturally occurring chitin, the second most abundant biopolymer after cellulose. The excellent physicochemical properties of polycationic chitosan are attributed to the presence of varied functional groups such as amino, hydroxyl, and acetamido groups enabling researchers to tailor the structure and properties of chitosan by different methods such as crosslinking, grafting, copolymerization, composites, and molecular imprinting techniques. The prepared derivatives have diverse applications in the food industry, water treatment, cosmetics, pharmaceuticals, agriculture, textiles, and biomedical applications. In this review, numerous applications of chitosan and its derivatives in various fields have been discussed in detail with an insight into their structure-property relationship. This review article concludes and explains the chitosan's biocompatibility and efficiency that has been done so far with future usage and applications as well. Moreover, the possible mechanism of chitosan's activity towards several emerging fields such as energy storage, biodegradable packaging, photocatalysis, biorefinery, and environmental bioremediation are also discussed. Overall, this comprehensive review discusses the science and complete information behind chitosan's wonder function to improve our understanding which is much needful as well as will pave the way towards a sustainable future.
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http://dx.doi.org/10.1016/j.ijbiomac.2023.128676 | DOI Listing |
J Phys Chem B
December 2024
Department of Chemistry, J. C. Bose University of Science and Technology, YMCA, Faridabad 121006, India.
Binary ionic melts formed by a protic ionic liquid (PIL) 1,2,4-triazolium methanesulfonate ([TAZ][MS]) dissolved in methanesulfonic acid are studied as non-stoichiometric electrolytes. The composition-driven structure-property relationship of methanesulfonic acid is explored at varying molar fraction ratios from 0/100 to 10/90, 20/80, and 30/70 by the addition of 1,2,4-triazolium methanesulfonate [TAZ][MS] IL. To unveil molecular characteristics of these mixtures of [TAZ][MS] PIL and CHSOH, we performed classical molecular dynamics simulations at varying temperatures from 293 to 303, 363, and 423 K.
View Article and Find Full Text PDFACS Nano
December 2024
Department of Chemistry, Burke Laboratory, Dartmouth College, Hanover, New Hampshire 03755, United States.
This paper describes the use of the layered conductive metal-organic framework (MOF) (nickel)-(hexahydroxytriphenylene) [Ni(HHTP)] as a model system for understanding the process of self-assembly within this class of materials. We confirm and quantify experimentally the role of the oxidant in the synthetic process. Monitoring the deposition of Ni(HHTP) with infrared spectroscopy revealed that MOF formation is characterized by an initial induction period, followed by linear growth with respect to time.
View Article and Find Full Text PDFSmall
December 2024
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
A mixed-ligand-based thermo-chemically robust and undulated metal-organic framework (MOF) is developed that embraces carboxamide moiety-grafted porous channels and activation-induced generation of open-metal site (OMS). The guest-free MOF acts as an outstanding heterogeneous catalyst in Hantzsch condensation for electronically assorted substrates with low catalyst loading and short duration under greener conditions than the reported materials. Besides Lewis acidic OMS, the carboxamide group activates the substrate via two-point hydrogen bonding, highlighting the effectiveness of custom-made functionalities in this multi-component reaction.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
Department of Industrial and Materials Science, Chalmers University of Technology, SE-412 58 Gothenburg, Sweden.
The full exploitation of the outstanding mechanical properties of cellulose nanofibrils (CNFs) as potential reinforcements in nanocomposite materials is limited by the poor interactions at the CNF-polymer matrix interface. Within this work, tailor-made copolymers were designed to mediate the interface between CNFs and biodegradable poly(butylene adipate--terephthalate) (PBAT), and their effect on extruded nanocomposite performance was tested. For this purpose, two well-defined amphiphilic anchor-tail diblock copolymer structures were compared, with a fixed anchor block length and a large difference in the hydrophobic tail block length.
View Article and Find Full Text PDFJ Chem Inf Model
December 2024
Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, U.K.
Machine learning (ML) methods provide a pathway to accurately predict molecular properties, leveraging patterns derived from structure-property relationships within materials databases. This approach holds significant importance in drug discovery and materials design, where the rapid, efficient screening of molecules can accelerate the development of new pharmaceuticals and chemical materials for highly specialized target application. Unsupervised and self-supervised learning methods applied to graph-based or geometric models have garnered considerable traction.
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