Surface coatings are becoming an integral part of materials. In recent years, molecular coatings have found larger acceptance and uses. Among them, self-assembled monolayers (SAMs) are attractive due to their inherent versatility, manufacturability, and scale up ease. Understanding their structure-properties relationships in realistic conditions remains a major challenge. Here we present a methodology based on simultaneous topographical and nanomechanical characterization of SAMs using a commercially available setup for bimodal atomic force microscopy (AFM). It allows for accurate and quantitative measurement of surface elasticity, which is correlated to molecular ordering through topographical imaging. Our results indicate that effective surface elasticity (E*) scales with monolayer formation-time and ligand-length, parameters known to affect ligand ordering. The method developed, is extended to provide localization of the chemical species present in thiolated binary SAMs. Within the systems tested phase separation down to ∼10 nm domains could be observed both in the topography and in the elasticity channel.
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http://dx.doi.org/10.1039/c8nr07657j | DOI Listing |
J Colloid Interface Sci
January 2025
College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China. Electronic address:
Covalent organic frameworks (COFs) with highly ordered structures and predictable optoelectronic properties provide an ideal platform to investigate the electrochemiluminescence (ECL) performance based on organic materials by atomically varying the molecular construction. Herein, the effect of imine-bond orientation on the ECL performance of COFs is investigated. We report two COFs (NC-COF and CN-COF) with different orientations of imine bonds using pyrene donor units (D) and bipyridine acceptor motifs (A) monomers.
View Article and Find Full Text PDFNano Lett
January 2025
Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa 920-1192, Japan.
Microtubules (MTs) are dynamic cytoskeletal polymers essential for mediating fundamental cellular processes, including cell division, intracellular transport, and cell shape maintenance. Understanding the arrangement of tubulin heterodimers within MTs is key to their function. Using frequency modulation atomic force microscopy (FM-AFM) and simulations, we revealed the submolecular arrangement of α- and β-tubulin subunits on the inner MT surface.
View Article and Find Full Text PDFJ Chem Phys
November 2024
Department of Scientific Computing, Modeling, and Simulations, Savitribai Phule Pune University, Ganeshkhind, Aundh, 411 007 Pune, India.
Deep neural network-based deep potentials (DP), developed by Tuo et al., have been used to compute the thermodynamic properties of free aluminum clusters with accuracy close to that of density functional theory. Although Jarrold and collaborators have reported extensive experimental measurements on the melting temperatures and heat capacities of free aluminum clusters, no reports exist for finite-temperature ab initio simulations on larger clusters (N > 55 atoms).
View Article and Find Full Text PDFJ Mater Chem B
November 2024
Chemistry Division, Bhabha Atomic Research Centre, Mumbai 400085, India.
Although chemotherapy with magnetic nanocarriers has witnessed significant advancement in the field of cancer treatment, multimodal diagnosis and combinatorial therapy using a single nanoplatform will have much better efficacy in achieving superior results. Herein, we constructed a smart theranostic system by combining pH-sensitive tartaric acid-stabilized FeO magnetic nanocarriers (TMNCs) with SPECT imaging and a chemotherapeutic agent for image-guided chemo-hyperthermia therapy. The carboxyl-enriched exteriors of TMNCs provided sites for the conjugation of a chemotherapeutic drug (doxorubicin hydrochloride, DOX) and radiolabeling (Ce).
View Article and Find Full Text PDFColloids Surf B Biointerfaces
January 2025
IPR - UMR UR1 CNRS 6251, Rennes University, Rennes F-35000, France; ScanMAT - UAR 2025, Rennes University, Rennes F-35042, France. Electronic address:
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