Lujanienė Galina, Novikau Raman, Karalevičiūtė Karolina, Pakštas Vidas, Talaikis Martynas, Levinskaitė Loreta, Selskienė Aušra, Selskis Algirdas, Mažeika Jonas, Jokšas Kęstutis
Center for Physical Sciences and Technology (FTMC), Savanorių Str. 231, LT-02300 Vilnius, Lithuania.
Center for Physical Sciences and Technology (FTMC), Savanorių Str. 231, LT-02300 Vilnius, Lithuania.
J Hazard Mater. 2024 Jan 15;462:132747. doi: 10.1016/j.jhazmat.2023.132747. Epub 2023 Oct 12.
Currently, there is a growing interest in the use of natural materials in various fields of science, technology and environmental protection due to their availability, low-cost, non-toxicity and biodegradability. Chitosan, natural clay of local origin, montmorillonite, zeolite, cross-linking agents (epichlorohydrin, sodium tripolyphosphate, glutaraldehyde) and plasticisers (glycerol) were used to synthesise composites. The composites were characterised by attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR), X-ray diffraction analysis (XRD) and scanning electron microscope (SEM), tested for their antibacterial activity and used in batch experiments to study the adsorption of caesium, cobalt and europium ions. The maximum capacities for adsorption of caesium, cobalt and europium on the composites were 1400 mg/g, 900 mg/g and 18 mg/g, respectively. The experimental data fit better the Langmuir isotherm model and indicate favourable monolayer adsorption of Cs, Co and Eu at homogeneous sites of the composites. The experimental data were in better agreement with the pseudo-second-order non-linear kinetic model for most elements and adsorbents. Adaptive neuro-fuzzy inference system proved to be a practical tool with good performance and generalisation capability for predicting the adsorption capacity of composites for caesium, cobalt, and europium ions. It was found that the predicted data were very close to the experimental data.
目前，由于天然材料具有可得性、低成本、无毒和可生物降解性，因此在科学、技术和环境保护的各个领域中，对其使用的兴趣日益浓厚。壳聚糖、当地产的天然粘土、蒙脱石、沸石、交联剂（环氧氯丙烷、三聚磷酸钠、戊二醛）和增塑剂（甘油）被用于合成复合材料。通过衰减全反射傅里叶变换红外光谱（ATR-FTIR）、X射线衍射分析（XRD）和扫描电子显微镜（SEM）对复合材料进行了表征，测试了它们的抗菌活性，并用于批量实验以研究铯、钴和铕离子的吸附。复合材料对铯、钴和铕的最大吸附容量分别为1400 mg/g、900 mg/g和18 mg/g。实验数据更符合朗缪尔等温线模型，表明在复合材料的均匀位点上，Cs、Co和Eu具有良好的单层吸附。对于大多数元素和吸附剂，实验数据与伪二级非线性动力学模型更吻合。自适应神经模糊推理系统被证明是一种实用工具，具有良好的性能和泛化能力，可用于预测复合材料对铯、钴和铕离子的吸附容量。结果发现，预测数据与实验数据非常接近。
