Objective: To establish the mathematical kinetic model of the components extracted from the FTMC (formulae of the traditional Chinese medicine) and analyze parameters of the astragaloside IV extracted from the BYHWD (Buyang Huanwu decoction).
Method: The model, including algebra and differential groups, have been set up according to the FICK discipline and Noyes-whitney soluted theories, as well as two transfer diffusive processes ((1) from protoplasate to apoplasmic, also from material compartment interior cell membrane to outside compartment; (2) apoplasmic to solution, also from outside compartment to solvent compartment) on components extraction from the FTMC. The equation groups, according to laplace transform, have been given a expression as solutions, which indicate the quantitative changes of the component concentration in solvent vs. time. The model kinetic parameters have been analyzed, meanwhile the parameters of the astragaloside IV in the BYHWD under 100 degrees C, extracted by water, have been analyzed by way of this model:
Result: It has been established a mathematical model that consists of three parts of e exponent. The kinetic parameters: M, alpha, N, beta, L, pi, K, k1', k2', rho1, rho2, tmax, Cmax, AUC, w0, P, D of the BYHWD were respectivelly 0.061 27% , 0.280 2 min(-1), - 1.027% , 0.008 965 min(-1), 1.077%, 0.002 665 min(-1), 3.451 x 10(-3) min(-1), 3.188 x 10(-3) min(-1), 0.375 9 min(-1), 1.420 min, 0.754 7 min, 184.9 min, 0. 0572 1 mg x mL(-1), 289.9 min, 0.070 11%, 46.24%, 22. 35%.
Conclusion: The kinetic model, applied to isolated system, can have been of the rule of multiplex linear. Each parameters can be analyzed completely.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Article Synopsis
- Deep learning methods show strong potential for predicting lung cancer risk from CT scans, but there's a need for more comprehensive comparisons and validations of these models in real-world settings.
- The study reviews 21 state-of-the-art deep learning models, analyzing their performance using CT scans from a subset of the National Lung Screening Trial, with a focus on malignant versus benign classification.
- Results reveal that 3D deep learning models generally outperformed 2D models, with the best 3D model achieving an AUROC of 0.86 compared to 0.79 for the best 2D model, emphasizing the need to choose appropriate pretrained datasets and model types for effective lung cancer risk prediction.
Effective removal of heavy metal ions (Pb, Cu, and Cd) from contaminated water by limestone mine wastes.
Sci Rep
January 2025
Geology Department, Faculty of Science, Assiut University, Assiut, Egypt.
Limestone mining waste and its derived CaO were checked as an adsorbents of pb, Cu, and Cd ions from water solution. The characterization of Limestone and calcined limestone was studied by using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), Scanning Electron Microscope (SEM), and Surface area measurements (BET). The optimum conditions of sorbent dosage, pH, initial concentration, and contact time factors were investigated for pristine limestone and calcined limestone absorbents.
View Article and Find Full Text PDFAdsorption-desorption of propyrisulfuron in six typical agricultural soils of China: kinetics, thermodynamics, influence of 38 environmental factors and its mechanisms.
Environ Pollut
January 2025
College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang, 330045, P.R. China.
Propyrisulfuron, a novel sulfonylurea herbicide, effectively suppresses intracellular acetolactate synthase activity for weed control, but its adsorption behavior in the soil environment remains unclear. To assess potential agroecosystem risks, the adsorption-desorption behavior and mechanism of propyrisulfuron in six typical agricultural soils of China were investigated using a batch equilibrium method, Density Functional Theory (DFT), Fourier Transform Infrared Spectroscopy (FTIR), and Scanning Electron Microscopy equipped with Energy Dispersive X-ray (SEM-EDX) techniques. It is indicated that the adsorption-desorption of propyrisulfuron in six soils reached equilibrium at 36 hours under the optimum water-to-soil ratio (WSr) of 5:1.
View Article and Find Full Text PDFEfficient removal of tetracycline by VCo-layered double hydroxide encapsulated with chitosan: Optimization via Box-Behnken design, and thermodynamics.
Int J Biol Macromol
January 2025
Chemistry Department, Faculty of Science, Damietta University, Damietta 34517, Egypt. Electronic address:
The VCo-LDH/CS hydrogel beads were created by combining VCo-layered double hydroxide (VCo-LDH) and chitosan (CS) using a cross-linking process with epichlorohydrin. These beads were specifically designed to remove tetracycline (TTC). To characterize the VCo-LDH/CS hydrogel beads, several analytical techniques were used, with PXRD, XPS, FESEM, EDX, and FT-IR.
View Article and Find Full Text PDFInterfacial adsorption behavior of amine-functionalized MCM-41 for Mo(VI) capture from aqueous solution.
Environ Res
January 2025
School of Chemical Engineering, Zhengzhou University, Zhengzhou 450001, China; Zhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou 450001, China; The Key Lab of Critical Metals Minerals Supernormal Enrichment and Extraction, Ministry of Education, Zhengzhou 450001, China.
Given the environmental and ecological risks posed by wastewater bearing Mo, the characteristics and microscopic interactions of existing silica-based adsorbents have not been thoroughly investigated, highlighting the need to enhance the porosity and chemical interactions of these materials. Considering the effectiveness of amino groups in binding metal oxyanions, this study investigates the adsorption performance and mechanism of amino-functionalized MCM-41 for Mo(VI), with the goal of efficiently remediating Mo-contaminated wastewater. MCM-41 modified by amino group retains its original structure and mesoporous characteristics while featuring a positively charged surface and chemically bonded amino groups.
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!