DOI QR코드

DOI QR Code

Discrimination of American ginseng and Asian ginseng using electronic nose and gas chromatography-mass spectrometry coupled with chemometrics

  • Cui, Shaoqing (Department of Biosystems Engineering and Food Science, Zhejiang University) ;
  • Wu, Jianfeng (Department of Biosystems Engineering and Food Science, Zhejiang University) ;
  • Wang, Jun (Department of Biosystems Engineering and Food Science, Zhejiang University) ;
  • Wang, Xinlei (Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign)
  • Received : 2015.04.07
  • Accepted : 2016.01.14
  • Published : 2017.01.15

Abstract

Background: American ginseng (Panax quinquefolius L.) and Asian ginseng (Panax ginseng Meyer) products, such as slices, have a similar appearance, but they have significantly different prices, leading to widespread adulteration in the commercial market. Their aroma characteristics are attracting increasing attention and are supposed to be effective and nondestructive markers to determine adulteration. Methods: The aroma characteristics of American and Asian ginseng were investigated using gas chromatography-mass spectrometry(GC-MS) and an electronic nose (E-nose). Their volatile organic compounds were separated, classified, compared, and analyzed with different pattern recognition. Results: The E-nose showed a good performance in grouping with a principle component analysis explaining 94.45% of variance. A total of 69 aroma components were identified by GC-MS, with 35.6% common components and 64.6% special ingredients between the two ginsengs. It was observed that the components and the number of terpenes and alcohols were markedly different, indicating possible reasons for their difference. The results of pattern recognition confirmed that the E-nose processing result is similar to that of GC-MS. The interrelation between aroma constituents and sensors indicated that special sensors were highly related to some terpenes and alcohols. Accordingly, the contents of selected constituents were accurately predicted by corresponding sensors with most $R^2$ reaching 90%. Conclusion: Combined with advanced chemometrics, the E-nose is capable of discriminating between American and Asian ginseng in both qualitative and quantitative angles, presenting an accurate, rapid, and nondestructive reference approach.

Keywords

References

  1. Kitts DD, Hu C. Efficacy and safety of ginseng. Public Health Nutr 2000;3:437-85.
  2. Oliver Chen CY, Ribaya-Mercado JD, McKay DL, Croom E, Blumberg JB. Differential antioxidant and quinone reductase inducing activity of American, Asian, and Siberian ginseng. Food Chem 2010;119:445-51. https://doi.org/10.1016/j.foodchem.2009.06.049
  3. Kaneko H, Nakanishi K. Proof of the mysterious efficacy of ginseng: basic and clinical trials: clinical effects of medical ginseng, Korean Red Ginseng: specifically, its anti-stress action for prevention of disease. J Pharmacol Sci 2004;95:158-62. https://doi.org/10.1254/jphs.FMJ04001X5
  4. Shao ZH, Xie JT, Vanden Hoek TL, Mehendale S, Aung H, Li CQ, Qin Y, Schumacker PT, Becker LB, Yuan CS. Antioxidant effects of American ginseng berry extract in cardiomyocytes exposed to acute oxidant stress. Biochim Biophys Acta 2004;1670:165-71. https://doi.org/10.1016/j.bbagen.2003.12.001
  5. Sievenpiper JL, Arnason JT, Leiter LA, Vuksan V. Decreasing, null and increasing effects of eight popular types of ginseng on acute postprandial glycemic indices in healthy humans: the role of ginsenosides. J Am Coll Nutr 2004;23: 248-58. https://doi.org/10.1080/07315724.2004.10719368
  6. Shellie RA, Marriott PJ, Huie CW. Comprehensive two-dimensional gas chromatography (GCGC) and GCGC-quadrupole MS analysis of Asian and American ginseng. J Sep Sci 2003;26:1185-92. https://doi.org/10.1002/jssc.200301404
  7. Li TSC. Asian and American ginseng - a review. HortTechnology 1995;5:27-34.
  8. Brown PN. Determination of ginsenoside content in Asian and North American ginseng raw materials and finished products by high-performance liquid chromatography: single-laboratory validation. J AOAC Int 2011;94:1391-9. https://doi.org/10.5740/jaoacint.9-543
  9. Harnly J, Chen P, Harrington PDB. Probability of identification: adulteration of American ginseng with Asian ginseng. J AOAC Int 2013;96:1258-65. https://doi.org/10.5740/jaoacint.13-290
  10. Lee SK, Kim JH, Sohn HJ, Wang JW. Changes in aroma characteristics during the preparation of red ginseng estimated by electronic nose, sensory evaluation and gas chromatography/mass spectrometry. Sens Actuators B Chem 2005;106:7-12. https://doi.org/10.1016/j.snb.2004.05.030
  11. Stitzel SE, Aernecke MJ, Walt DR. Artificial noses. Annu Rev Biomed Eng 2011;13:1-25. https://doi.org/10.1146/annurev-bioeng-071910-124633
  12. Peris M, Escuder-Gilabert L. A 21st century technique for food control: electronic nose. Anal Chim Acta 2009;638:1-15. https://doi.org/10.1016/j.aca.2009.02.009
  13. Kuske M, Romain AC, Nicolas J. Microbial volatile organic compounds as indicators of fungi. Can an electronic nose detect fungi in indoor environments? Build Environ 2005;40:824-31. https://doi.org/10.1016/j.buildenv.2004.08.012
  14. Daniels R. Electronic noses and tongues in development and quality control: Part 1. Pharm Ind 2005;67:945-9.
  15. Daniels R. Electronic noses and tongues in development and quality control: Part 2. Pharm Ind 2005;67:1096-100.
  16. Zhang HX, Balban M, Portier K, Sims CA. Quantification of spice mixture compositions by electronic nose: Part 2. Comparison with GC and sensory methods. J Food Sci 2005;70:E259-64.
  17. Benedetti S, Drusch S, Mannino S. Monitoring of autoxidation in LCPUFAenriched lipid microparticles by electronic nose and SPME-GCMS. Talanta 2009;78:1266-71. https://doi.org/10.1016/j.talanta.2009.01.045
  18. Cevoli C, Cerretani L, Gori A, Caboni MF, Gallina Toschi T, Fabbri A. Classification of Pecorino cheeses using electronic nose combined with artificial neural network and comparison with GC-MS analysis of volatile compounds. Food Chem 2011;129:1315-9. https://doi.org/10.1016/j.foodchem.2011.05.126
  19. Li S, Li X, Wang GL, Nie LX, Yang YJ, Wu HZ, Wei F, Zhang J, Tian JG, Lin RCJ. Rapid discrimination of Chinese red ginseng and Korean ginseng using an electronic nose coupled with chemometrics. Pharmaceut Biomed 2012;70:605-8. https://doi.org/10.1016/j.jpba.2012.06.009
  20. Pharmacopoeia of the People's Republic of China (2010). The measurement of volatile oil, Appendix X D in Chinese Pharmacopoeia (1), 2010. p. 63.
  21. Cui SQ, Wang J, Geng LH, Wei ZB, Tian XJ. Determination of ginseng with different ages using a taste-sensing system. Sensor Mater 2013;25:241-55.
  22. Cui SQ, Wang J, Yang LC, Wu JF, Wang XL. Qualitative and quantitative analysis on aroma characteristics of ginseng at different ages using E-nose and GC-MS combined with chemometrics. J Pharm Biomed Anal 2015;102:64-77. https://doi.org/10.1016/j.jpba.2014.08.030
  23. Bro R, Smilde AK. Principal component analysis. Anal Method 2014;6:2812-31. https://doi.org/10.1039/C3AY41907J
  24. Qi LW,Wang CZ, Yuan CS. Ginsenosides from American ginseng: chemical and pharmacological diversity. Phytochemistry 2011;72:689-99. https://doi.org/10.1016/j.phytochem.2011.02.012
  25. Toldra F. Flavor development. In: Dry-cured meat products. Trumbull, CT: Food and Nutrition Press; 2002. p. 157.
  26. Toldra F. Meat, poultry and seafood - biochemical of fermented meat. In: Simpson BK, Nollet LML, Toldra F, Benjakul S, Paliyath G, Hui YH, editors. Food biochemistry and food processing. 2nd ed. Ames, IA: John Wiley & Sons; 2012. p. 341.
  27. Iwabuchi H, Yoshikura M, Kamisako W. Studies on the sesquiterpenoids of Panax ginseng C.A. Meyer (3). Chem Pharm Bull 1989;37:509-13. https://doi.org/10.1248/cpb.37.509

Cited by

  1. Organoleptic Evaluation of Amomi Fructus and Its Further Background Verified via Morphological Measurement and GC Coupled with E-Nose vol.2018, pp.None, 2018, https://doi.org/10.1155/2018/4689767
  2. Chemical Differentiation and Quantitative Analysis of Different Types of Panax Genus Stem-Leaf Based on a UPLC-Q-Exactive Orbitrap/MS Combined with Multivariate Statistical Analysis Approach vol.2018, pp.None, 2018, https://doi.org/10.1155/2018/9598672
  3. Plant Pest Detection Using an Artificial Nose System: A Review vol.18, pp.2, 2018, https://doi.org/10.3390/s18020378
  4. Formation of trihalomethanes as disinfection byproducts in herbal spa pools vol.8, pp.None, 2017, https://doi.org/10.1038/s41598-018-23975-2
  5. Analysis of volatile compounds of Tremella aurantialba fermentation via electronic nose and HS‐SPME‐GC‐MS vol.38, pp.6, 2017, https://doi.org/10.1111/jfs.12555
  6. Lower limit of detection achieved by raw band-target entropy minimization (rBTEM) for trace and coeluted gas chromatography-mass spectrometry components vol.52, pp.10, 2017, https://doi.org/10.1080/00032719.2018.1558230
  7. Discrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled with Chemometrics vol.19, pp.3, 2019, https://doi.org/10.3390/s19030572
  8. American Ginseng (Panax quinquefolium L.) as a Source of Bioactive Phytochemicals with Pro-Health Properties vol.11, pp.5, 2017, https://doi.org/10.3390/nu11051041
  9. Quality evaluation of Panax ginseng adventitious roots based on ginsenoside constituents, functional genes, and ferric‐reducing antioxidant power vol.43, pp.8, 2017, https://doi.org/10.1111/jfbc.12901
  10. Tools in the Investigation of Volatile Semiochemicals on Insects: From Sampling to Statistical Analysis vol.10, pp.8, 2017, https://doi.org/10.3390/insects10080241
  11. Sugar-Lowering Drugs for Type 2 Diabetes Mellitus and Metabolic Syndrome—Review of Classical and New Compounds: Part-I vol.12, pp.4, 2017, https://doi.org/10.3390/ph12040152
  12. Effect of Storage Time and Packing Method on the Freshness of Dried Lycium Fruit Using Electronic Nose and Chemometrics vol.2020, pp.None, 2017, https://doi.org/10.1155/2020/6145189
  13. Discrimination of five brands of instant vermicelli seasonings by HS-SPME/GC-MS and electronic nose vol.57, pp.11, 2017, https://doi.org/10.1007/s13197-020-04454-x
  14. Design of an efficient electronic nose system for odour analysis and assessment vol.165, pp.None, 2020, https://doi.org/10.1016/j.measurement.2020.108089
  15. Discrimination of Zanthoxylumbungeanum Maxim through volatile aroma compounds analysis with artificial neural network vol.45, pp.2, 2021, https://doi.org/10.1111/jfbc.13621
  16. Distinction of volatile flavor profiles in various skim milk products via HS-SPME-GC-MS and E-nose vol.247, pp.6, 2017, https://doi.org/10.1007/s00217-021-03730-0