Graphene oxide-based a network porous poly (trially isocyanurate-co-methacrylate) monolithic column for HPLC separation of aromatic molecular and lipopeptide antibiotics.

Graphene oxide (GO) was introduced into a monolithic column and a network porous poly (GO-co-TAIC-co-MMA) monolith was prepared by redox polymerization. The internal morphology and pore size distribution of the polymer were observed by scanning electron microscopy, and the nitrogen adsorption-desorption and mercury intrusion methods. After optimization, 8 kinds of aromatic compounds were effectively separated in 5 min, and the theoretical plates number of the monolithic column exceeded 33, 070 plates m. Five kinds of main ingredients were separated from the traditional Chinese medicine (Schisandra) ingredients and 26 peaks were successfully separated from the fermentation broth containing natural lipopeptide antibiotics. The addition of GO material enhanced the interaction between the compound and the monolithic column, increased the binding sites, improved the uniformity of the internal pore structure of the monolithic column, and improved the separation performance of the monolith. Methodologic validation of five ingredients in Schisandra showed that the correlation coefficients of the linear regressions were in the range of 0.9987-0.9997. The intra- and inter-day values of the relative standard deviation for precision were in the range of 0.6-4.1% and 1.1-4.8%, respectively. The values of accuracy (expressed as recovery) were in the range of 97.7-103.2%, 100.5-105.0%, 98.2-101.8%, 101.3-104.1%, and 101.2-103.3% for the 5 ingredients in order. In terms of the relative standard deviation of the retention time, the reproducibility of the monolithic column M1 was <3.7%. The monolithic column based on GO has great potential in chromatographic separation.