A dynamic process in the synthesis of silica nanotubes (SNTs) by utilizing glycyldodecylamide (GDA) as a soft template was thoroughly investigated. The morphological evolution from GDA to SNTs was deeply explored to elucidate the formation mechanism for optimizing the synthesis procedure. Various analytical tools, namely, XRD, FTIR, SEM, TEM, Z-potential, and N adsorption/desorption isotherms, were employed during the synthesis procedure. The interactive structure of GDA was also investigated using TEM-EDX as a function of aging time. These studies revealed the stepwise morphology of nanograin, nanofiber, curved plate, and nanotube in the ethanol/water solution when aged at room temperature. The supramolecular GDA molded the vesicle type nanostructure which was surrounded by silica and facilitated the formation of uniform SNTs. The stimulus for GDA to be curved into a vesicle was the intermolecular hydrogen bonding between adjacent amide groups of the template molecules. This was illustrated by FTIR spectra of GDA-silica intermediate by detecting the transition of amide I peak from 1678 to 1635 cm. The effect of hydrogen bonding became stronger when the sample was aged.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1021/acs.langmuir.7b02881 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment.
Sci Rep
January 2025
Department of Artificial Intelligence and Data Science, College of Computer Science and Engineering, University of Hail, Hail, Saudi Arabia.
In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.
View Article and Find Full Text PDFUnbiased picture of the ligand docking process for the hevein protein-oligosaccharide complex.
Sci Rep
January 2025
Department of Applied Chemistry, Faculty of Engineering, University of Miyazaki, 1-1 Nishi, Gakuen-Kibanadai, Miyazaki, 889-2192, Japan.
The ligand-docking behavior of hevein, the major latex protein from the rubber tree Hevea brasiliensis (Euphorbiaceae), has been investigated by the unguided molecular dynamics (MD) simulation method. An oligosaccharide molecule, initially placed in an arbitrary position, was allowed to move around hevein for a prolonged simulation time, on the order of microseconds, with the expectation of spontaneous ligand docking of the oligosaccharide molecule to the binding site of hevein. In the binary solution system consisting of a hevein molecule and a chito-trisaccharide (GlcNAc) molecule, three out of the six separate simulation runs successfully reproduced the complex structure of the observed binding from.
View Article and Find Full Text PDFOptimal life-cycle adaptation of coastal infrastructure under climate change.
Nat Commun
January 2025
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA.
Climate change-related risk mitigation is typically addressed using cost-benefit analysis that evaluates mitigation strategies against a wide range of simulated scenarios and identifies a static policy to be implemented, without considering future observations. Due to the substantial uncertainties inherent in climate projections, this identified policy will likely be sub-optimal with respect to the actual climate trajectory that evolves in time. In this work, we thus formulate climate risk management as a dynamic decision-making problem based on Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), taking real-time data into account for evaluating the evolving conditions and related model uncertainties, in order to select the best possible life-cycle actions in time, with global optimality guarantees for the formulated optimization problem.
View Article and Find Full Text PDFTailorable biosensors for real-time monitoring of stress distribution in soft biomaterials and living tissues.
Nat Commun
January 2025
MOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, Dalian, China.
Visualizing mechanical stress distribution in soft and live biomaterials is essential for understanding biological processes and improving material design. However, it remains challenging due to their complexity, dynamic nature, and sensitivity requirements, necessitating innovative techniques. Since polysaccharides are common in various biomaterials, a biosensor integrating a Förster resonance energy transfer (FRET)-based tension sensor module and carbohydrate-binding modules (FTSM-CBM) has been designed for real-time monitoring of the stress distribution of these biomaterials.
View Article and Find Full Text PDFRetinoic acid homeostasis and disease.
Curr Top Dev Biol
January 2025
Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD, United States. Electronic address:
Retinoids, particularly all-trans-retinoic acid (ATRA), play crucial roles in various physiological processes, including development, immune response, and reproduction, by regulating gene transcription through nuclear receptors. This review explores the biosynthetic pathways, homeostatic mechanisms, and the significance of retinoid-binding proteins in maintaining ATRA levels. It highlights the intricate balance required for ATRA homeostasis, emphasizing that both excess and deficiency can lead to severe developmental and health consequences.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!