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Planta Med 2020; 86(10): 674-685
DOI: 10.1055/a-1161-0372
Natural Product Chemistry and Analytical Studies
Original Papers
Georg Thieme Verlag KG Stuttgart · New York

Characterization of Maca (Lepidium meyenii/Lepidium peruvianum) Using a Mass Spectral Fingerprinting, Metabolomic Analysis, and Genetic Sequencing Approach

Ping Geng
1   Methods and Application of Food Composition Lab, Beltsville Human Nutrition Research Center, Agriculture Research Service, US Department of Agriculture, Beltsville, MD, USA
,
Jianghao Sun
1   Methods and Application of Food Composition Lab, Beltsville Human Nutrition Research Center, Agriculture Research Service, US Department of Agriculture, Beltsville, MD, USA
,
Pei Chen
1   Methods and Application of Food Composition Lab, Beltsville Human Nutrition Research Center, Agriculture Research Service, US Department of Agriculture, Beltsville, MD, USA
,
Eric Brand
2   School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR
,
James Frame
3   Natural Health International, San Francisco, CA, USA
,
Henry Meissner
4   Faculty of Health Studies, Charles Sturt University & Therapeutic Research, TTD International Pty Ltd, Elanora, QLD, Australia
,
Jeremy Stewart
5   Gaia Herbs, Brevard, NC, USA
,
Stefan Gafner
6   American Botanical Council, Austin, TX, USA
,
Stephanie Clark
7   NSF International Authenticity Laboratory, Petaluma, CA, USA
,
Jesse Miller
7   NSF International Authenticity Laboratory, Petaluma, CA, USA
,
James Harnly
1   Methods and Application of Food Composition Lab, Beltsville Human Nutrition Research Center, Agriculture Research Service, US Department of Agriculture, Beltsville, MD, USA
› Author Affiliations
Further Information

Publication History

received 30 May 2019
revised 01 April 2020

accepted 19 April 2020

Publication Date:
20 May 2020 (online)

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Abstract

Maca (Lepidium meyenii, synonym L. peruvianum) was analyzed using a systematic approach employing principal component analysis of flow injection mass spectrometry fingerprints (no chromatographic separation) to guide the selection of samples for metabolite profiling and DNA next generation sequencing. Samples consisted of 39 commercial maca supplements from 11 manufacturers, 31 unprocessed maca tubers grown in Peru and China, and a historic non-tuber maca sample from Peru. Principal component analysis of flow injection mass spectrometry fingerprints initially placed all the maca samples in three classes with similar chemical composition: commercial maca samples, tubers grown in Peru, and tubers grown in China. Metabolite profiling identified 67 compounds in the negative mode and 51 compounds in the positive mode. Compounds identified by metabolite profiling (macamides, glucosinolates, amino acids, fatty acids, polyunsaturated fatty acids, saccharides, imidazoles) were then used to identify ions in the flow injection mass spectrometry fingerprints. The tuber fingerprints were analyzed by factorial multivariate analysis of variance revealing that black, red, and yellow maca from Peru and black and yellow maca from China were compositionally different with respect to color and country. Critical ions were identified that allowed for the differentiation of maca between colors from the same country or between two countries with the same color. Genetically, all samples were confirmed to be L. meyenii based on next generation sequencing at three gene regions (ITS2, psbA, and trnL) and comparison to recorded sequences of vouchered standards.

Key words

maca - Lepidium meyenii - Brassicaceae - flow injection mass spectrometry - metabolite profiling - imidazoles - macamides - glucosinolates - PCA

Supporting Information

    Sample description (Table 1S), compound identification (Tables 2S and 3S), chromatograms of tuber samples (Figs. 1S and 2S), and genetic sequences (Figs. 3S–5S) are available as Supporting Information.

  • Supporting Information
 

  • References

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