Smart material nanoassemblies that can simultaneously sense and shoot low-level contaminants from air and water are important for overcoming the threat of hazardous chemicals. Graphene oxide (GO) sheets deposited on mesoscopic TiO2 films that underpin the deposition of Ag nanoparticles with UV irradiation provide the foundation for the design of a smart material. The Ag particle size is readily controlled through precursor concentration and UV irradiation time. These semiconductor–graphene oxide–metal (SGM) films are SERS-active and hence capable of sensing aromatic contaminants such as 4-nitrobenzenethiol (4-NBT) in nanomolar range. Increased local concentration of organic molecules achieved through interaction with 2-D carbon support (GO) facilitates low-level detection of contaminants. Upon UV irradiation of 4-NBT-loaded SGM film, one can induce photocatalytic transformations. Thus, each component of the SGM film plays a pivotal role in aiding the detection and degradation of a contaminant dispersed in aqueous solutions. The advantage of using SGM films as multipurpose “detect and destroy” systems for nitroaromatic molecules is discussed.
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http://dx.doi.org/10.1021/nn502336x | DOI Listing |
PLoS One
January 2025
European IPF/ILD Registry and Biobank (eurIPFreg/bank, eurILDreg/bank), Giessen, Germany.
Background And Aims: Predicting progression and prognosis in Interstitial Lung Diseases (ILD), especially Idiopathic Pulmonary Fibrosis (IPF) and Progressive Pulmonary Fibrosis (PPF), remains a challenge. Integrating patient-centered measurements is essential for earlier and safer detection of disease progression. Home monitoring through e-health technologies, such as spirometry and oximetry connected to smartphone applications, holds promise for early detection of ILD progression or acute exacerbations, enabling timely therapeutic interventions.
View Article and Find Full Text PDFDiabetol Int
January 2025
Center of Diabetes, Endocrinology and Metabolism, Toho University Sakura Medical Center, Sakura, Chiba Japan.
Aim: To investigate the effect of weight loss and metabolic improvement after laparoscopic sleeve gastrectomy (LSG) in older adults aged 65 years or over compared with younger adults in a retrospective analysis.
Methods: The J-SMART study database of 322 Japanese individuals with body mass index (BMI) ≥32 kg/m who underwent LSG between 2011 and 2014 at 10 centers accredited by the Japanese Society for Treatment of Obesity were analyzed. The subjects were classified into two groups: ≥65 age group (range, 65-76 years; n = 25) and <65 age group (range, 22-64 years; n = 297).
J Comput Assist Tomogr
January 2025
Department of Radiology, George Washington University Hospital, Washington, DC.
The next step in the evolution of static 3-dimensionally (3D) printed models may be the creation of "smart" models, where subcomponents can be seamlessly interacted with through a feedback mechanism, with potential applications in trainee education and patient counseling. Considering the complexity of the ventricular and cisternal systems, they were chosen for segmentation, using Materialize InPrint with outward hollowing using 2.5-mm wall thickness.
View Article and Find Full Text PDFChemistry
January 2025
Northwest University, College of Chemistry and Materials Science, No.1 Xuefu Road, Guodu District, 710127, Xi'an, CHINA.
The combination of supramolecular self-assemblies and polymer science has resulted in the development of soft materials with diverse properties and applications. In particular, the coordination cages of predefined shape, size, and internal cavity can be utilized intelligently as promising building units for designing responsive and smart soft materials with dual porosity, contributing to the introduction of versatile host-guest chemistry into gels. In this review, we present the recent advancements in gels incorporating coordination cages into their networks, ranging from synthesis strategies to state-of-art applications.
View Article and Find Full Text PDFNat Commun
January 2025
Smart Materials Lab, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE.
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