Hydrophilic interaction chromatography with a focus on the drug–phosphate interaction in drug screening to determine the phospholipidosis induction risk

Development of acidic phospholipid containing immobilized artificial membrane column to predict drug-induced phospholipidosis potency

Drug-induced phospholipidosis (DIPLD) represents a big concern for both regulatory authorities and pharmaceutical companies in drug discovery. Many researches pointed out that the negatively charged intralysosomal lipids play an important role in the formation of DIPLD. To better mimic this negatively charged lipid surface, a novel immobilized artificial membrane (IAM) column was prepared via in situ copolymerization of 12-methacryloyl n-dodecylphosphocholine (MDPC) and 12-methacryloyl n-dodecylphosphoric acid (MDPA). By introducing MDPA, the surface of the resulting monolithic column can be maintained negatively charged over a broad pH range. Scanning electron microscopy, elemental analysis and nano-HPLC experiments were carried out to characterize the physicochemical properties and chromatographic performance of the obtained monolithic IAM column. The results of ζ-potential and retention mechanism studies indicate that both hydrophobic and electrostatic interactions contribute greatly to the retention of cation analytes owing to the existence of the negatively charged MDPA under acidic conditions. To better assess the DIPLD potency of drug, the molar ratio between MDPC and MDPA in the monolithic column was carefully optimized. The results show that the poly(MDPC₇₀PA₃₀-co-EDMA) column has the best predictability with only two false-positives (donepezil, flecainide) in qualitative analysis of 61 drugs.

Chemometric-assisted method development in hydrophilic interaction liquid chromatography: A review

With an enormous growth in the application of hydrophilic interaction liquid chromatography (HILIC), there has also been significant progress in HILIC method development. HILIC is a chromatographic method that utilises hydro-organic mobile phases with a high organic content, and a hydrophilic stationary phase. It has been applied predominantly in the determination of small polar compounds. Theoretical studies in computer-aided modelling tools, most importantly the predictive, quantitative structure retention relationship (QSRR) modelling methods, have attracted the attention of researchers and these approaches greatly assist the method development process. This review focuses on the application of computer-aided modelling tools in understanding the retention mechanism, the classification of HILIC stationary phases, prediction of retention times in HILIC systems, optimisation of chromatographic conditions, and description of the interaction effects of the chromatographic factors in HILIC separations. Additionally, what has been achieved in the potential application of QSRR methodology in combination with experimental design philosophy in the optimisation of chromatographic separation conditions in the HILIC method development process is communicated. Developing robust predictive QSRR models will undoubtedly facilitate more application of this chromatographic mode in a broader variety of research areas, significantly minimising cost and time of the experimental work.