Sabeela Nourah I, Almutairi Tahani M, Al-Lohedan Hamad A, Ezzat Abdelrahman O, Atta Ayman M
Surfactants Research Chair, Chemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Chemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Nanomaterials (Basel). 2019 Dec 2;9(12):1721. doi: 10.3390/nano9121721.
In this work, new smart mesoporous amine-functionalized silica nanoparticles were prepared from hydrolyzing microgels based on -isopropyl acrylamide--vinyltrimethoxysilane microgels with tetraethoxysilicate and 3-aminopropyltriethoxysilane by sol-gel method. The thermal stability and Fourier transform infrared were used to determine the amine contents of the silica nanoparticles. The pH sensitivity of the synthesized silica nanoparticles in their aqueous solutions was evaluated by using dynamic light scattering (DLS) and zeta potential measurements. The porosity of the amine-functionalized silica nanoparticles was evaluated from a transmittance electron microscope and Brunauer-Emmett-Teller (BET) plot. The results have positively recommended the pH-sensitive amine-functionalized silica nanoparticles as one of the effective nano-adsorbent to remove 313 mg·g of CB-R250 water pollutant.
在本研究中，通过溶胶-凝胶法，基于异丙基丙烯酰胺-乙烯基三甲氧基硅烷微凝胶与正硅酸乙酯和3-氨丙基三乙氧基硅烷水解制备了新型智能介孔胺功能化二氧化硅纳米颗粒。利用热稳定性和傅里叶变换红外光谱确定二氧化硅纳米颗粒的胺含量。通过动态光散射（DLS）和zeta电位测量评估合成的二氧化硅纳米颗粒在其水溶液中的pH敏感性。从透射电子显微镜和布鲁诺尔-埃米特-泰勒（BET）图评估胺功能化二氧化硅纳米颗粒的孔隙率。结果积极推荐了pH敏感的胺功能化二氧化硅纳米颗粒作为去除313 mg·g CB-R250水污染物的有效纳米吸附剂之一。
