会议论文详细信息
2019 3rd International Workshop on Renewable Energy and Development
Identification of flowers of Musa nana Lour., flowers of Musa basjoo Sieb. et Zucc and flowers of Musa balbisiana Colla by HPLC fingerprinting
能源学;生态环境科学
Zhang, Lingling^1 ; Liang, Yuqing^1 ; Zhang, Peng^1 ; Yang, Liubo^1 ; Li, Xiaofen^1 ; Wang, Xiangpei^1 ; Wu, Hongmei^1
Department of Pharmacognosy, Guiyang University of Chinese Medicine, Nanming District, Guiyang City, Guizhou Province, Guiyang
550002, China^1
关键词: Binary gradients;    Common peak;    Detection wavelengths;    HPLC fingerprints;    Medicinal materials;    Musaceae;    Resource development;    Variety identification;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/267/3/032078/pdf
DOI  :  10.1088/1755-1315/267/3/032078
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

Objective: HPLC fingerprint identification method of flowers of Musa nana Lour., flowers of Musa basjoo Sieb. et Zucc and flowers of Musa balbisiana Colla were established, and the chromatogram similarities difference of three kinds of flowers were compared, in order to provide reference for variety identification, resource development and utilization of flowers of Musaceae medicinal materials. Methods: The separation was performed on a Diamonsil C18 column (4.6mm×250mm, 5μm) at 30°C. A binary gradient elution system was composed of acetonitrile and water containing 0.05% phosphoric acid and the flow rate was 0.8mL/min. The detection wavelength was 280nm. The HPLC fingerprint of 17 batches of flowers of Musaceae medicinal materials were determined and the similarities were evaluated. Results: The experimental results showed that the samples from flowers of same varieties showed high similarities, and had more common peaks. Flowers of Musa nana Lour., are compared with flowers of Musa basjoo Sieb. et Zuccr and flowers of Musa balbisiana Colla, whose similarities were less than 0.430 with few common peaks. However, the comparison between flowers of Musa basjoo Sieb. et Zuccr and flowers of Musa balbisiana Colla showed high similarities with more common peaks. The similarities of 17 batches of flowers of Musaceae medicinal materials were between 0.187 and 0.984 with few common peaks, indicating the significant difference of three kinds of flowers. Conclusion: The proposed method is simple, highly reproducible and suitable for the identification of flowers of Musaceae medicinal materials.

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