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Adsorption-limited kinetics may be described by phenomenological pseudo-order models. Such models leverage on the general principle that the rate of change of the adsorbed material depends on some power of its concentration, and their solutions provide the quantity of adsorbed molecules per unit mass of the sorbent material as a function of time. The assumptions made about how the solute molecules (adsorbents) are distributed around the sorbent material and whether or not diffusion effects are present are crucial for defining the rate of change. In the first case, the homogeneous uniform distribution of solute molecules and the absence of diffusion effects are well-described by classical modeling (integer-order derivatives). In the second case, fractal modeling arises from a departure from homogeneous uniform distribution, time is apparently contracted, and diffusion effects are still absent. In the third case, deviation from both conditions leads to fractional modeling; unlike fractal modeling, there are memory effects that exert an action on a limited number of process steps. We present briefly solutions for various classical and fractal kinetic models that describe adsorption. For the first time, we present adsorption kinetics under the framework of fractional calculus. In particular, we provide detailed expressions for pseudo-first-order fractional kinetics, while for higher orders, recursive relations amenable to numerical treatment are given. Application of each model is discussed.
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http://dx.doi.org/10.1021/acs.langmuir.5c01726 | DOI Listing |
ACS Appl Bio Mater
September 2025
School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China.
The generation of reactive oxygen species (ROS) through nanozyme-mediated sonocatalytic therapy has demonstrated remarkable therapeutic efficacy in the field of cancer. Nevertheless, it remains a significant challenge for nanozymes with a single catalytic active center to generate sufficient ROS via Fenton or Fenton-like reactions to effectively induce tumor cell death. In order to enhance the catalytic efficacy, we devised and synthesized a multiple active centre and mitochondrial-targeted perovskite nanozyme (NCFP), doped with cobalt (Co) element, and incorporated 4-carboxybutyltriphenylphosphonium bromide (TPP) as a mitochondrial targeting marker for ultrasound (US)-assisted enzyme-like catalytic treatment of tumors.
View Article and Find Full Text PDFPLoS One
September 2025
The Institute of Port Information Digitalization, China Liaoning Port Group Co. Ltd., Dalian, Liaoning, China.
Background: Underwater environments face challenges with image degradation due to light absorption and scattering, resulting in blurring, reduced contrast, and color distortion. This significantly impacts underwater exploration and environmental monitoring, necessitating advanced algorithms for effective enhancement.
Objectives: The study aims to develop an innovative underwater image enhancement algorithm that integrates physical models with deep learning to improve visual quality and surpass existing methods in performance metrics.
PLoS One
September 2025
Sterile Processing Department, Sichuan GEM Flower Hospital, North Sichuan Medical College, Chengdu, China.
Background: Luminal instruments are characterized by their slender internal lumens, which make them particularly challenging to clean and dry. A common drying method used by Sterile Processing Department (SPD) technicians involves blowing high-pressure air into one end of the lumen to expel moisture. However, this process generates a significant amount of aerosols that may contain bacteria, viruses, and other microorganisms.
View Article and Find Full Text PDFPLoS One
September 2025
School of Design and Art, Hunan University, Changsha, Hunan, China.
This study addresses the limitations of traditional interior space design, particularly the timeliness and uniqueness of solutions, by proposing an optimized design framework that integrates a two-stage deep learning network with a single-sample-driven mechanism. In the first stage, the framework employs a Transformer network to extract multi-dimensional features (such as spatial layout, color distribution, furniture style, etc.) from input space images, generating an initial feature vector.
View Article and Find Full Text PDFBiomater Sci
September 2025
School of Biomedical Sciences, Kent State University, Kent, OH 44242, USA.
Copper ions have been considered to hold promise for the treatment of wound infections due to their unique characteristics that exhibit not only antibacterial activities through multiple bactericidal mechanisms but also tissue reparative activities by acting as a co-factor for many angiogenic promoters and enzymes. However, higher doses are necessary to achieve sufficient bactericidal and antibiofilm effects. The objective of this study is to develop copper nanoparticles (CuNPs) as an antimicrobial agent by harnessing the characteristics of copper and vitamin C (VC) to form a sustained catalytic cycle, leading to a significant enhancement of bactericidal and antibiofilm effects when compared with the use of CuNPs alone.
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