Analytical Research Laboratory, Department of Chemistry, Aligarh Muslim University, Aligarh 202002, India.
Analytical Research Laboratory, Department of Chemistry, Aligarh Muslim University, Aligarh 202002, India.
Food Chem. 2023 Mar 30;405(Pt A):134751. doi: 10.1016/j.foodchem.2022.134751. Epub 2022 Oct 28.
A 3D FeO@MWCNT-CdIIP was synthesized by the oxidizing surface of multi-walled carbon nanotubes with carboxylic acid end groups and its subsequent termination with an ion imprinted polymer. An artificial neural network manifests better predictability than the central composite design methodology for optimising the adsorption procedure. The adsorption capacity was 109 mg g (2.5 times more than non-imprinted polymer) under optimized conditions (pH; 5.6, time; 15 min, concentration; 800 μg mL temperature; 25 °C), which was in accord with Toth isotherm. Fractal-like pseudo-second-order kinetics was found reasonably fast, with 66 % adsorption in 5 min. Solid phase extraction coupled Flame atomic absorption spectrometry method provides selective recognition towards Cd(II), with limit of detection; 1.13 µg/L, limit of quantification; 3.21 µg/L after preconcentration (preconcentration factor; 50) and good robustness. The developed method was applied for Cd(II) determination in food (tea, coffee, bread, tobacco, radish, spinach), water and wastewater (>99 % removal as well). Cd(II) loaded IIP was further utilized to remove anionic dyes with >95 % removal.
3D FeO@MWCNT-CdIIP 是通过氧化具有羧酸末端基团的多壁碳纳米管的表面及其随后用离子印迹聚合物进行端基封闭而合成的。人工神经网络在优化吸附程序方面表现出比中心复合设计方法更好的可预测性。在优化条件下(pH 值为 5.6,时间为 15 分钟,浓度为 800μg/mL,温度为 25°C),吸附容量为 109mg/g(比非印迹聚合物高 2.5 倍),这与托特等温线一致。发现分形似的伪二级动力学过程相当快,在 5 分钟内吸附了 66%。固相萃取结合火焰原子吸收光谱法对 Cd(II)具有选择性识别能力,检出限为 1.13μg/L,定量限为 3.21μg/L(经预浓缩后,预浓缩因子为 50),且稳健性良好。该方法已应用于食品(茶、咖啡、面包、烟草、萝卜、菠菜)、水和废水(>99%去除)中 Cd(II)的测定。负载 Cd(II)的 IIP 进一步用于去除阴离子染料,去除率>95%。