Nanocellulose/zero, one- and two-dimensional inorganic additive based electrodes for advanced supercapacitors

Nowadays, the growing threat of environmental pollution and the energy crisis have accelerated the advancement of sustainable energy sources and highly efficient energy storage technologies. Supercapacitors' outstanding efficiency and accessibility have attracted much interest in portable electronics. However, compared to other energy storage devices, commercially available supercapacitors offer minimal advantages, and it is also very difficult to balance their electrochemical performance, such as cyclability, energy density, and capacitance. Fabricating high-performance supercapacitors with attractive electrical parameters and flexibility depends on the composition of the electrodes. Nanocellulose, which is derived from waste biomass because of its high mechanical strength, strong chemical reactivity, and biodegradability, has been used to integrate 2D, 1D, and zero-dimensional inorganic additive materials to develop a promising material for supercapacitor electrodes. The present review summarises recent advancements in the progress of nanocellulose/2D-, 1D-, and zero-dimensional inorganic material-based composite electrodes for their application in supercapacitors. Different strategies for developing nanocellulose/inorganic additive-based composite electrodes are reviewed, and subsequently, the potential of nanocellulose/multidimensional inorganic additive-based electrodes in supercapacitors is fully elaborated. In the end, current challenges and future directions for the development finally, current challenges and future directions for developing nano cellulose-based nanocomposite electrodes in supercapacitors were also discussed.</p

Exploring the role of nanocellulose as potential sustainable material for enhanced oil recovery:New paradigm for a circular economy

Presently, due to growing global energy demand and depletion of existing oil reservoirs, oil industry is focussing on development of novel and effective ways to enhance crude oil recovery and exploration of new oil reserves, which are typically found in challenging environment and require deep drilling in high temperature and high-pressure regime. The nanocelluloses with numerous advantages such as high temperature and pressure stability, ecofriendly nature, excellent rheology modifying ability, interfacial tension reduction capability, etc., have shown a huge potential in oil recovery over conventional chemicals and macro/micro sized biopolymers-based approach. In present review, an attempt has been made to thoroughly investigate the potential of nanocellulose (cellulose nanocrystals/nanofibers) in development of drilling fluid and in enhancement of oil recovery. The impact of various factors such as nanocellulose shape, charge density, inter-particle or inter-fibers interactions after surface functionalization, rheometer geometries, additives, post processing techniques, etc., which provides insight into the attributes of nanocellulose suspension and exemplify their behaviour during oil recovery have also been reviewed and discussed. Finally, the conclusion and challenges in utility of nanocellulose for oilfield applications are addressed. Knowing how to adjust/quantify nanocrystals/nanofibers shape and size; and monitor their interactions might promote their utility in oilfield industry.</p

Expression and Characterization of Chandipura Virus Proteins

Chandipura virus (CHPV) has recently emerged as an extremely lethal human pathogen in the family Rhabdoviridae and is linked to significant encephalitis outbreaks in different parts of India. The biology of CHPV remains less studied to date and the availability of reagents such as purified proteins can enhance research in this direction. In this study, we have overexpressed four of the CHPV proteins namely Nucleoprotein (N), Phosphoprotein (P), Matrix protein (M) and Glycoprotein (G) using three  distinct tags in bacterial system and with changes in inducer concentration, growth and solubilisation conditions successfully purified M and G proteins for the first time along with N and P. Furthermore, the interactions of CHPV M protein with other viral proteins (G, N and P) was investigated using ELISA and GST pull down assays to show the utility of olubilised proteins. The results of both the assays demonstrated that M protein interacts with both G and N proteins, while it does not interact with P protein, in a similar  manner as reported for Vesicular Stomatitis Virus

Protein-mediated gelation and nano-scale assembly of unfunctionalized hyaluronic acid and chondroitin sulfate.

Background: Hyaluronic acid (HA) is a major component of the extracellular matrix (ECM) in the central nervous system and the only purely supramolecular glycosaminoglycan. Much focus has been given to using this high molecular weight polysaccharide for tissue engineering applications. In most studies, the backbone of HA is functionalized with moieties that can facilitate network formation through physical self-assembly, or covalent crosslinking (e.g. photo-catalyzed) at concentrations where the polysaccharide does not gel on its own. However, these crosslinks often utilize functional groups not found in biological tissues. Methods: Oscillatory rheology, dynamic light scattering, and scanning electron microscopy were used to study albumin/HA structures. Dynamic light scattering and transmission electron microscopy were used to study albumin/chondroitin sulfate (CS) structures. UV-vis spectroscopy was used to demonstrate the potential for using protein-polymer blends as an ECM-mimetic model to study transport of small molecules. Results: We examine the intermolecular interactions of two major glycosaminoglycans found in the human brain, HA and the lower molecular weight CS, with the model protein albumin. We report the properties of the resulting micro- and nano materials. Our albumin/HA systems formed gels, and albumin/CS systems formed micro- and nanoparticles. These systems are formed from unfunctionalized polysaccharides, which is an attractive and simple method of forming HA hydrogels and CS nanoparticles. We also summarize the concentrations of HA and CS found in various mammalian brains, which could potentially be useful for biomimetic scaffold development. Conclusions: Simple preparation of commercially available charged biomacromolecules results in interesting materials with structures at the micron and nanometer length-scales. Such materials may have utility in serving as cost-effective models of nervous system electrostatic interactions and as in vitro drug release and model system for ECM transport studies

Effect of RF Power on Physical and Electrical Properties of Al-doped ZnO Thin Films

246-253We deposited Al-doped zinc oxide (AZO) thin films on PTFE flexible substrate by RF sputtering with respect to the power in the range 125-155 W. XRD-pattern showed the preferred c-axis (002) orientation regardless the rf-power, which confirmed the hexagonal wurtzite crystal structure. The dislocation density (δ), and strain (ε) of AZO thin films were determined to be 1.861015-0.741015 m-2, and 85.6×10-3-54.0×10-3, respectively. The AZO film deposited at 135 W showed the smooth and uniform microstructure, which is the highest intensity of XRD-pattern due to smaller grain size. The refractive index (n) increased from 2.24 to 2.34, while the bandgap (Eg), and urbach tail (Eu) decreased from 3.66 to 3.31 eV and 0.33 to 0.22 eV as the RF power increased from 125 to 155 W. The sheet resistance and figure of merit (FOM) of AZO thin films were observed to be the lowest 53.36 /cm and 5.17 10-10 -1 for the sample 135 W

Cucurbit[8]uril-derived graphene hydrogels

The scalable production of uniformly distributed graphene (GR)-based composite materials remains a sizable challenge. While GR-polymer nanocomposites can be manufactured at large scale, processing limitations result in poor control over the homogeneity of hydrophobic GR sheets in the matrices. Such processes often result in difficulties controlling stability and avoiding aggregation, therefore eliminating benefits that might have otherwise arisen from the nanoscopic dimensions of GR. Here, we report an exfoliated and stabilized GR dispersion in water. Cucurbit[8]uril (CB[8])-mediated host guest chemistry was used to obtain supramolecular hydrogels consisting of uniformly distributed GR and guest-functionalized macromolecules. The obtained GR-hydrogels show superior bioelectrical properties over identical systems produced without CB[8]. Utilizing such supramolecular interactions with biologically-derived macromolecules is a promising approach to stabilize graphene in water and avoid oxidative chemistry.Marie Sklodowska-Curie individual research grant (H2020-MSCAIF- 2017, P.ID: 797106) The Winston Churchill Foundation of the United States EPSRC Doctoral Training Grant EP/N509620/1 EPSRC Programme Grant NOtCH (EP/L027151/1

Applying support-vector machine learning algorithms toward predicting host-guest interactions with cucurbit[7]uril.

Machine learning is a valuable tool in the development of chemical technologies but its applications into supramolecular chemistry have been limited. Here, the utility of kernel-based support vector machine learning using density functional theory calculations as training data is evaluated when used to predict equilibrium binding coefficients of small molecules with cucurbit[7]uril (CB[7]). We find that utilising SVMs may confer some predictive ability. This algorithm was then used to predict the binding of drugs TAK-580 and selumetinib. The algorithm did predict strong binding for TAK-580 and poor binding for selumetinib, and these results were experimentally validated. It was discovered that the larger homologue cucurbit[8]uril (CB[8]) is partial to selumetinib, suggesting an opportunity for tunable release by introducing different concentrations of CB[7] or CB[8] into a hydrogel depot. We qualitatively demonstrated that these drugs may have utility in combination against gliomas. Finally, mass transfer simulations show CB[7] can independently tune the release of TAK-580 without affecting selumetinib. This work gives specific evidence that a machine learning approach to recognition of small molecules by macrocycles has merit and reinforces the view that machine learning may prove valuable in the development of drug delivery systems and supramolecular chemistry more broadly.A.T. and M.P.S. thank The Winston Churchill Foundation of the United States. A.T. thanks the National Science Foundation graduate research fellowship, the MIT Chemical Engineering first year fellowship, and the Churchill College post-graduate grant program. G.W. thanks the Leverhulme Trust (project: ‘Natural material innovation for sustainable living’). V.K.R. thanks the Swiss National Science Foundation (P2EZP2_168784). O.A.S. acknowledges EPSRC Programme grant Nano-Optics to controlled Nano- Chemistry (NOtCH, EP/L027151/1) for funding