Drug-resistant malaria is a global risk to the modern world. Artremisinin (ART) is one of the drugs of choice against drug-resistant (malaria) which is practically insoluble in water. The objective of our study was to improve the solubility of artemisinin (ART) via development of binary complexes of ART with sulfobutylether β-cyclodextrins (SBE7 β-CD), sulfobutylether β-cyclodextrins (SBE7 β-CD) and oleic acid (ternary complexes). These are prepared in various drugs to excipients ratios by physical mixing (PM) and solvent evaporation (SE) methods. Characterizations were achieved by powder X-ray diffraction (PXRD), scanning electron microscopy (SEM) and attenuated total reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy. The aqueous-solubility in binary complexes was 12-folds enhanced than ternary complexes. Dissolution of binary and ternary complexes of artemisinin in simulated gastric fluid (pH 1.6) was found highest and 35 times higher for ternary SECx. The crystallinity of artemisinin was decreased in physical mixtures (PMs) while SECx exhibited displaced angles. The attenuated-intensity of SECx showed least peak numbers with more displaced-angles. SEM images of PMs and SECx showed reduced particle size in binary and ternary systems as compared to pure drug-particles. ATR-FTIR spectra of binary and ternary complexes revealed bonding interactions among artemisinin, SBE7 β-CD and oleic acid.
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January 2025
Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong, 999077, China.
Carbazole-derived self-assembled monolayers (SAMs) are promising materials for hole-extraction layer (HEL) in conventional organic photovoltaics (OPVs). Here, a SAM Cbz-2Ph derived from 3,6-diphenylcarbazole is demonstrated. The large molecular dipole moment of Cbz-2Ph allows the modulation of electrode work function to facilitate hole extraction and maximize photovoltage, thus improving the OPV performance.
View Article and Find Full Text PDFJ Chem Eng Data
January 2025
Department of Chemical Engineering, Norwegian University of Science and Technology, Trondheim N-7491, Norway.
Densities and viscosities of aqueous 2-amino-2-methyl-1-propanol (AMP)/piperazine (PZ) solutions with and without CO are measured from 20 to 80 °C at ambient pressure. Redlich-Kister-based correlations are proposed for the excess molar volumes and viscosity deviation of the binary and ternary mixtures. Empirical correlations are developed to quantitatively describe the effect of CO on the density and viscosity of the aqueous AMP/PZ solutions.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China.
This study presents a facile one-pot synthesis method to fabricate BiFeO-BiFeO-BiO heterojunction photocatalysts with controllable compositions and pure phases. Three different binary heterojunctions (BiFeO/BiFeO, BiFeO/BiO, and BiFeO/BiO) and a ternary BiFeO/BiFeO/BiO heterojunction were formed, all exhibiting significantly enhanced photocatalytic performance for the degradation of methylene blue (MB) and phenol under visible light irradiation, outperforming the individual compositions. Notably, the BiFeO/BiFeO heterojunction achieved the highest degradation efficiency (93.
View Article and Find Full Text PDFSci Adv
January 2025
Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-Based Electronics, School of Electronics, Peking University, Beijing 100871, China.
Multi-valued logics (MVLs) offer higher information density, reduced circuit and interconnect complexity, lower power dissipation, and faster speed over conventional binary logic system. Recent advancement in MVL research, particularly with emerging low-dimensional materials, suggests that breakthroughs may be imminent if multistates transistors can be fabricated controllably for large-scale integration. Here, a concept of source-gating transistors (SGTs) is developed and realized using carbon nanotubes (CNTs).
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January 2025
Department of Materials Science and Engineering, Kyoto University, Sakyo, Kyoto, 606-8501, Japan.
The discovery of novel materials is crucial for developing new functional materials. This study introduces a predictive model designed to forecast complex multi-component oxide compositions, leveraging data derived from simpler pseudo-binary systems. By applying tensor decomposition and machine learning techniques, we transformed pseudo-binary oxide compositions from the Inorganic Crystal Structure Database (ICSD) into tensor representations, capturing key chemical trends such as oxidation states and periodic positions.
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