School of Pharmacy, Southwest Medical University, Luzhou, Sichuan 646000, China.
School of Nursing, Southwest Medical University, Luzhou, Sichuan 646000, China.
J Chromatogr A. 2021 Jul 19;1649:462186. doi: 10.1016/j.chroma.2021.462186. Epub 2021 May 4.
Covalent organic frameworks (COFs) have showed expected potential in chromatographic separation due to unique structure and excellent performance. Nowadays, COF materials applied as chromatographic stationary phases is still in its infancy. Here, we modified COF materials on silica using benzene-1,4,5-tetracarboxylic dianhydride (PMDA) and 1,3,5-tris-(4-aminophenyl)triazine (TAPT) monomers by one-pot synthetic method for performing mixed-mode function, named as SiO@COF. Five characterization methods including thermogravimetric analysis (TGA), scanning electron microscopy (SEM), Fourier transform infrared spectrometry (FT-IR), elemental analysis (EA) and powder X-ray diffraction (XRD) verified the morphology, structure characteristics and physicochemical properties of the materials. SiO@COF for performing the separation of polar and nonpolar analytes on high performance liquid chromatography (HPLC) achieved the desired results. Retention mechanisms of the constructed SiO@COF were researched via observing the effects of mobile phase with retention times. Results exhibited that the prepared stationary phase can provide various interaction modes, including hydrophobic, hydrophilic, hydrogen bonding and π-π interactions. In conclusion, the prepared SiO@COF stationary phase can execute mixed-mode separation abilities and show potential for complex samples analysis.
共价有机骨架(COFs)由于其独特的结构和优异的性能,在色谱分离中显示出了预期的潜力。如今,COF 材料作为色谱固定相的应用仍处于起步阶段。在这里,我们使用苯-1,4,5-四羧酸二酐(PMDA)和 1,3,5-三-(4-氨基苯基)三嗪(TAPT)单体通过一锅合成法在硅胶上修饰 COF 材料,以实现混合模式功能,命名为 SiO@COF。五种表征方法,包括热重分析(TGA)、扫描电子显微镜(SEM)、傅里叶变换红外光谱(FT-IR)、元素分析(EA)和粉末 X 射线衍射(XRD)验证了材料的形态、结构特征和物理化学性质。SiO@COF 用于高效液相色谱(HPLC)中分离极性和非极性分析物,取得了理想的效果。通过观察保留时间对流动相的影响,研究了构建的 SiO@COF 的保留机制。结果表明,所制备的固定相可以提供多种相互作用模式,包括疏水、亲水、氢键和π-π相互作用。总之,所制备的 SiO@COF 固定相可以执行混合模式分离能力,并显示出对复杂样品分析的潜力。