Themed collection MSDE Recent HOT Articles

This account reviews the major amplification strategies utilizing nanomaterials in electrochemical biosensing for robust and sensitive molecular diagnostics.

This review highlights recently reported novel macromolecular design strategies providing tailorable free volume for high performance gas separation membranes.

Unusual 6,7-bis-nitrated N-annulated perylene diimides are reported which have stabilized frontier molecular orbitals. The highly stabilized LUMO enables the generation of air-stable radical anions.

The importance of surface roughness on wettability is vital in developing novel techniques and materials for fabrication of self-cleaning coatings.

Ratiometric absorption and emission response to mercury(II) is observed for pyridyl-thiophene ligands with water-solubilizing groups that increase binding affinity and demonstrate thiophene–metal interactions.

In this paper, a data driven and deep learning approach for modeling structure–property relationship of polymer nanocomposites is demonstrated. This method is applicable to understand other material mechanisms and guide the design of material with targeted performance.

By combining experiments and molecular modelling we elucidate the role of competitive hydrogen bonding on the supramolecular behavior of tris(alkoxybenzyl)benzene-1,3,5-tricarboxamides.

The dendritic growth is observed in a freely suspended film of the SmE LC phase, following universal growth law of the L(t) ∼ tⁿ, here n is ∼0.66.

Nanoparticles self-assembly on liquid crystal nano-droplets is investigated as a function of size, shape and chemical functionality.

Molecular dynamics simulations predict the effect of analyte transport on the activation time of chemoresponsive liquid crystal sensors to improve sensor selectivity.

We integrate TEM imaging with quantitative morphometry to study polyamide membranes synthesized with monomer concentrations systematically varied, to determine synthesis–morphology correlations.

We have developed a simple adsorbent screening tool including process economics to evaluate adsorbents for post-combustion capture. 22 MOFs were evaluated for four difference scenarios, UTSA-16 performs inline with the benchmark zeolite 13X.

Computational simulations were used to screen 8712 combinations of porous organic cages for energetically favourable nested cage complexes.

Enumerated, de novo transition metal complexes have unique spin state properties and accelerate machine learning model training.