Advertisement

Food Analytical Methods

, Volume 12, Issue 1, pp 51–58 | Cite as

Isolation and Identification of Metabolites in Chinese Northeast Potato (Solanum tuberosum L.) Tubers Using Gas Chromatography-Mass Spectrometry

  • Liyuan Zhang
  • Yingbo Yu
  • Changyuan WangEmail author
  • Dongjie ZhangEmail author
Article

Abstract

The gas chromatography coupled with mass spectrometry was established for the isolation and identification of the 65 compounds and main compounds including sugar, sugar alcohols, dimeric and trimeric saccharides, amino acid, and organic acid, in Chinese northeast potato (Solanum tuberosum L.) tubers. Polar metabolites were extracted and separated from potato tubers of the four kinds of potatoes in Chinese northeast with 80% methanol, and derived with N, O-Bis (trimethylsilyl) trifluoroacetamide. Then, the analytical performances of the proposed method were evaluated. When the reproducibility was evaluated, the relative standard deviations (RSDs) of both peak count of 90.4% metabolites and peak areas of 91.4% metabolites were lower than 30%. When the stability was evaluated, the RSDs of both peak count of 76.7% metabolites and cumulative peak areas of 92.5% metabolites were lower than 30%. In contrast to the databases, some of the primary and secondary metabolites were identified. The established method is expected to be useful for the metabolomic studies of potato.

Keywords

Metabolites Potato tuber GC-MS Identification Chinese northeast 

Notes

Funding

This study was funded by the Natural Science Foundation of Heilongjiang Province of China (Grant number: B2015010), Project funded by the China Postdoctoral Science Foundation (Grant number:2017 M611413), Special Funding of Postdoctoral in Heilongjiang BaYi Agricultural University, and Program for Young Scholars with Creative Talents in Heilongjiang BaYi Agricultural University (Grant number: CXRC2017011).

Compliance with Ethical Standards

Conflict of Interest

Liyuan Zhang declares that she has no conflict of interest. Yingbo Yu declares that she has no conflict of interest. Changyuan Wang declares that he has no conflict of interest. Dongjie Zhang declares that he has no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

12161_2018_1336_MOESM1_ESM.doc (94.4 mb)
ESM 1 (DOC 96644 kb)

References

  1. Cuadros-Rodríguez L, Ruiz-Samblás C, Valverde-Som L, Pérez-Castaño E, González-Casado A (2016) Chromatographic fingerprinting: an innovative approach for food 'identitation' and food authentication-a tutorial. Anal Chim Acta 909:9–23CrossRefGoogle Scholar
  2. Evans AM, DeHaven CD, Barrett T, Mitchell M, Milgram E (2009) Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems. Anal Chem 81:6656–6667CrossRefGoogle Scholar
  3. Fiehn O (2002) Metabolomics-the link between genotypes and phenotypes. Plant Mol Biol 48(1–2):155–171CrossRefGoogle Scholar
  4. Foster B, Famili I, Fu P, Pallson B, Nielsen J (2003) Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network. Genome Res 13:244–253CrossRefGoogle Scholar
  5. He XQ, Tan DG, Sun XP, Peng M, Zhang JM (2012) Isolation and identification of polar metabolites in cassava leaf using GC-MS method. Chin J Trop Crops 22:422–426Google Scholar
  6. Johnson CH, Gonzalez FJ (2012) Challenges and opportunities of metabolomics. J Cell Physiol 227:2975–2981CrossRefGoogle Scholar
  7. Lai ZJ, Tsugawa H, Wohlgemuth G, Mehta S, Mueller M, Zheng YX, Ogiwara A, Meissen J, Showalter M, Takeuchi K, Kind T, Beal P, Arita M, Fiehn O (2018) Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nat Methods 15:53–56CrossRefGoogle Scholar
  8. Nicholson JK, Lindon JC, Holmes E (1999) ‘Metabonomics’: understanding the metabolic responses of living systems to pathophysiological stimulivia multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica 29(11):1181–1189CrossRefGoogle Scholar
  9. Nicholson JK, Connelly J, Lindon JC, Holmes E (2002) Metabonomics: a platform for studying drug toxicity and gene function. Nat Rev Drug Discov 1(2):153–161CrossRefGoogle Scholar
  10. Roessner U, Wagner C, Kopka J, Trethewey RN, Willmitzer L (2000) Simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry. Plant J 23:131–142CrossRefGoogle Scholar
  11. Soininen P, Kangas AJ, Würtz P, Tukiainen T, Tynkkynen T, Laatikainen RJ, Järvelin MR, Kähönen M, Lehtimäki T, Viilari J, Raitakari OT, Savolainen MJ, Korpela MA (2009) High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism. Analyst 134:1781–1785CrossRefGoogle Scholar
  12. Tang H, Xiao C, Wang Y (2009) Important roles of the hyphenated HPLC/DAD/MS/SPE/NMR technique in metabonomics. Magn Reson Chem 47:157–162CrossRefGoogle Scholar
  13. Uri C, Juhász Z, Polgár Z, Bánfalvi Z (2014) A GC–MS-based metabolomics study on the tubers of commercial potato cultivars upon storage. Food Chem 159:287–292CrossRefGoogle Scholar
  14. Van Bocxlaer JF, Vande Casteele SR, Van Poucke CJ, Van Peteghem CH (2005) Confirmation of the identity of residues using quadrupole time-of-flight mass spectrometry. Anal Chim Acta 529(1–2):65–73CrossRefGoogle Scholar
  15. Zhang GA, NaganaGowda TY, Raftery D (2010) Advances in NMR-based biofluid analysis and metabolite profiling. Analyst 135:1490–1498CrossRefGoogle Scholar
  16. Zhang A, Sun H, Wang P, Han Y, Wang XJ (2012) Modern analytical techniques in metabolomics analysis. Analyst 137:293–300CrossRefGoogle Scholar
  17. Zhao JY, Hu CX, Zeng J, Zhao YN, Zhang JJ, Chang YW, Li LL, Zhao ChX LX, Xu GW (2014) Study of polar metabolites in tobacco from different geographical origins by using capillary electrophoresis-mass spectrometry. Metabolomics 10:805–815CrossRefGoogle Scholar
  18. Zhou J, Wang SY, Chang YW, Zhao YN, Lu X, Zhao ChX XGW (2012) Development of a gas chromatography-mass spectrometry method for the metabolomic study of rice (Oryza sativa L.) grain. Chin J Chromatogr 30:1037–1042CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of FoodHeilongjiang Bayi Agricultural UniversityDaqingPeople’s Republic of China
  2. 2.Key Laboratory of Agro-Products Processing and Quality Safety of Heilongjiang provinceDaqingPeople’s Republic of China

Personalised recommendations