Ion-Exchange Resin/Carrageenan-Copper-Based Nanocomposite: Artificial Neural Network, Advanced Thermodynamic Profiling, and Anticoagulant Studies

作者：Sana Haider, Sami Ullah, Mohsin Kazi, Fouzia Qamar, Tariq Siddique, Rubia Anwer, Saeed Ahmad Khan, Saad Salman · 发表于：ACS Omega · 年份：2024 · DOI：10.1021/acsomega.4c01540 · 被引用次数：4 · 研究领域：Seaweed-derived Bioactive Compounds、Calcium Carbonate Crystallization and Inhibition、Adsorption and biosorption for pollutant removal

High Resolution Image Download MS PowerPoint Slide Carrageenan (CG) and ion exchange resins (IERs) are better metal chelators. Kappa (κ) CG and IERs were synthesized and subjected to copper ion (Cu 2+ ) adsorption to obtain DMSCH/κ-Cu, DC20H/κ-Cu, and IRP69H/κ-Cu nanocomposites (NCs). The NCs were studied using statistical physics formalism (SPF) at 315–375 K and a multilayer perceptron with five input nodes. The percentage of Cu 2+ uptake efficiency was used as an outcome variable. Via the grand canonical ensemble, SPF gives models for both monolayer and multilayer sorption layers. For in vitro anticoagulant activity (ACA), the activated partial thromboplastin time were calculated using 100 μL of rabbit plasma incubated at 37 °C. After 2 min, 100 L of 0.025 M CaCl 2 was added, and the clotting time was recorded for each group ( n = 6). The results demonstrated that the key covariables for the adsorption process were pH and concentration. The results of artificial neural network models were comparable with the experimental findings. The error rates varied between 4.3 and 1.0%. The prediction analysis results ranged from 43.6 to 89.2. The Δ G and Δ S values for IRP69H/κ-Cu obtained were −18.91 and −16.32 and 26.21 and 22.74 kJ/mol for the temperatures 315 and 345 K, respectively. Adsorbate species were perpendicular to the adsorbent surfaces, notwithstanding the apparent importance of macro- and micropore volumes. These adsorbents typically fluctuate with temperature changes a...