Liu Xingyong, Shao Jinliang, Chen Xinglian, Wang Li, Li Qiwan, Liu Hongcheng. Authenticity identification of Maca and its product based on high performance liquid chromatography fingerprint[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(6): 302-307. DOI: 10.11975/j.issn.1002-6819.2016.06.042
    Citation: Liu Xingyong, Shao Jinliang, Chen Xinglian, Wang Li, Li Qiwan, Liu Hongcheng. Authenticity identification of Maca and its product based on high performance liquid chromatography fingerprint[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(6): 302-307. DOI: 10.11975/j.issn.1002-6819.2016.06.042

    Authenticity identification of Maca and its product based on high performance liquid chromatography fingerprint

    • Maca has many health benefits and high price in China and the products may be adulterated, so authenticity is important to its quality.In order to identify the authenticity of maca products and analyze difference of maca and its products, chromatographic fingerprint peaks identification and difference analysis were used at Yunnan Academy of Agricultural Sciences(YAAS), Kunming city, Yunnan province, China, in 2015.Common maca products including tablets and dry film were purchased on Kunming markets and different ecotypes and regions maca collected from Lijiang, Tibet and Huize, which have big planting scale with representative.Fresh maca samples were by natural drying and smashed to powder less than 60 mesh, then dried to constant weight by drier at 70 ℃.About 1.000 g dried sample was ultrasonic extraction under 200 MHz with 10 mL petroleum ether for 30 min, then filtered with filter paper, rotary evaporator was used to concentrate dry, added 5 mL acetonitrile to dissolve extract, and filtered by 0.45 μm filter membrane.Chromatographic peaks of maca were separated effectively by use A Waters Symmetry ShieldTM C18 column with a detection wavelength of 210 nm and a gradient program with acetonitrile water, and under 0.80 mL/min flow rate.According to the method validation, method has high precision, good repeatability and stability, and same batch maca samples chromatographic peaks relative retention time and relative peak area standard deviation relative values were less than 3.5% and 5%, respectively.19 batches of maca samples and 6 maca products fingerprint were analyzed, and the number 9 peak was set as reference peak to correct retention time because of separated complete, moderate appearance time, and larger peak area and all samples were existed.15 common characteristic peaks were determined of maca and its products basis retention time, their area accounted 92.5%-97.8% for total peak area, established the high performance liquid chromatography (HPLC) fingerprint of maca and its products, and digital fingerprint was also established based on relative retention time and corresponding peak area.Maca products common chromatographic peaks area were smaller compared with maca, and also contained some non common peaks, this explained some components were lose in process and other components was added.Fingerprint for maca (Lepidium meyenii Walp.) and maca products was investigated based on three different recognition methods such as principal component analysis(PCA), discriminant analysis(LDA) and similarity analysis.PCA was performed based on digital fingerprint.PCA extracted characteristic root was greater than 1, then 5 principal components were extracted representing the information of sample, and cumulative contribution rate was 100% with component loading matrix.Two dimensional scatter plot was drawn by use principal component 1 and 2 loading, so maca and its products can be distinguished by scatter plot.LDA divided samples into two categories, then chromatographic peaks area were as independent variable and one cross validation was used, and the classification result had 97.4% correct recognition rate for maca and its products.Maca samples could be distinguished obviously from maca product samples by using method of either two dimensional map or LDA.Similarity were calculated by included angle, and similarity analysis indicated that maca and its products have difference(P≤0.05), and similarity value were 0.916 and 0.668, respectively, and not only no significant differences(P≥0.05) between different origins and ecotypes maca, but also between maca products.Maca from Huize, Lijiang, Tibet were 0.882, 0.928 and 0943, respectively.Different ecotypes Maca of yellow, purple and blank were 0.920, 0.922 and 0.904, respectively.Maca dry film and tablets were 0.737 and 0.598, respectively.The results showed that each of the three employed methods could reflect consistent pattern recognition results and characteristics of fingerprint.The results showed that maca products have characteristic components of maca, but their content had differences.This could provide an identification method and reference for guaranteeing the authenticity and quality of Maca products.
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