Journal
JOURNAL OF SEPARATION SCIENCE
Volume 40, Issue 13, Pages 2791-2799Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/jssc.201700116
Keywords
aristolochic acid I; herbal medicines; solid-phase extraction; surface molecularly imprinted polymers
Categories
Funding
- National Natural Science Foundation of China [81573391]
- National Key Projects of China [81227802]
- Science and Technology Projects of Shaanxi Social Development [2016SF-159]
- Shaanxi Province Administration of Traditional Chinese Medicine Foundation [15ZY027]
Ask authors/readers for more resources
In this study, surface molecularly imprinted polymers were prepared as the selective sorbents for separation of aristolochic acid I in herbal medicine extracts by a facile approach. A less toxic dummy template, ofloxacin, was used to create specific molecule recognition sites for aristolochic acid I in the synthesized polymers. The polymers were characterized by Fourier-transfer infrared spectroscopy, scanning electron microscopy, thermogravimetric analysis, elemental analysis, and nitrogen adsorption-desorption test. The adsorption capacity was calculated using adsorption kinetics, selectivity, and recycling experiments. The obtained polymers exhibited high thermostability, fast equilibrium time, and excellent binding ability. Subsequently, the polymers applied as the solid-phase extraction absorbent was proposed and used for the enrichment and analysis of aristolochic acid I in herbal plants. The result showed that the aristolochic acid I was enriched up to 16 times after analysis by using high-performance liquid chromatography. The good linearity for aristolochic acid I was obtained in the range of 0.1-200 mu g/mL (R-2 = 0.9987). The recovery and precision values were obtained (64.94-77.73%, RSDs% = 0.8%, n = 3) at three spiked concentration levels. This work provided a promising method for selective enrichment, extraction, and purification of aristolochic acid I from complex herbal plants.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available