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Quality control of Lycium chinense and Lycium barbarum cortex (Digupi) by HPLC using kukoamines as markers

Overview of attention for article published in Chinese Medicine, January 2017
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Title
Quality control of Lycium chinense and Lycium barbarum cortex (Digupi) by HPLC using kukoamines as markers
Published in
Chinese Medicine, January 2017
DOI 10.1186/s13020-016-0121-x
Pubmed ID
Authors

Yuan-Yuan Li, Rui Di, Wing-Leung Hsu, Ye-Qing Huang, Hon-Yeung Cheung

Abstract

Lycii Cortex (LyC), composed of Lycium chinense and Lycium barbarum cortex and having the Chinese name Digupi, is used to treat chronic diseases like cough, hypertension, and diabetes in Eastern Asia. However, chromatographic methods, such as TLC and HPLC, to determine the phytochemical composition of LyC have not been included in any official compendiums. This study aims to establish a validated HPLC method for quality control of LyC. Kukoamines A and B (KA and KB, respectively) were selected as markers for the HPLC method. An acetic acid solution was adopted for sample extraction because it facilitated the release of kukoamines and effectively prevented their degradation. Optimal separation of the kukoamine isomers was achieved on hydrophilic ligand-coated C18 columns with a gradient elution of acetonitrile and 0.1% (v/v) trifluoroacetic acid. The average contents and proposed contents for LyC were calculated with a t test and an uncertainty test based on 16 batches of authentic samples. The method was validated with linearity (r(2) = 0.9999 for both KA and KB), precision (RSD = 1.29% for KA and 0.57% for KB), repeatability (RSD = 1.81% for KA and 0.92% for KB), and accuracy (recovery of 90.03-102.30% for KA, and 98.49-101.67% for KB), indicating that the method could offer reliable results for quality control analysis of LyC. At the 95% confidence level, the calculated content limits were 1.45 mg/g for KA and 4.72 mg/g for KB. Compared with conventional morphological identification, the HPLC method involving KA and KB contents offers precise, objective, and quantitative results for quality control of LyC.

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Student > Master 2 18%
Researcher 2 18%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Other 2 18%
Unknown 1 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Business, Management and Accounting 1 9%
Agricultural and Biological Sciences 1 9%
Psychology 1 9%
Other 1 9%
Unknown 4 36%