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Discrimination of the cultivar, growing region, and geographical origin of rice (Oryza sativa) using a mass spectrometer-based electronic nose

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Abstract

The objective of this study was to discrimination the cultivar, growing region, and geographical origin of rice (Oryza sativa) using a mass spectrometry-based electronic nose (MSE-nose). The inside-needle dynamic extraction (INDEX) system was used to concentrate the samples for MSEnose, following which the ion fragment data obtained were used to perform discriminant function analysis. Discriminant functions 1 and 2 readily separated all 16 cultivars of rice sampled. It was also confirmed that MSE-nose could distinguish the region in which rice cv. Chucheong and Koshihikari were grown, likely due to variation in environmental factors, such as soil and climate. Finally, it was confirmed that MSE-nose could be used to detect the geographical origin of rice, discrimination Korea rice from Japanese rice. Therefore, this simple and rapid technique is of value for discriminating the cultivar, growing region, and geographical origin of rice.

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References

  1. Song YC, Lim SJ, Lee JS, Kim HY, Yeo US, Park NB, Kwak DY, Kang SJ, Hwang HG, Oh BG, Moon HP, Lim MS. A new h igh amy lose r ice variety “Goamibyeo”. Korean J. Breed. Sci. 40: 447–451 (2008)

    Google Scholar 

  2. Jang SM, Kim KH, Kang MY. Varietal difference in processing and sensory characteristics of “Misutkaru” in rice. Korean J. Breed. Sci. 33: 73–70 (2001)

    Google Scholar 

  3. Chunwongse J, Martin GB, Tanksley SD. Pre-germination genotypic screeing using PCR amplification of half-seed. Theor. Appl. Genet. 86: 694–698 (1993)

    Article  CAS  Google Scholar 

  4. Huebner FR, Bietz JA, Webb BD, Juliano BO. Rice cultivar identification by high-performance liquid chromatography of endosperm protein. Cereal Chem. 67: 129–135 (1990)

    CAS  Google Scholar 

  5. Saruyama H, Shinbashi N. Identification of specific proteins from seed embryos by two-dimensional gel electrophoresis for the discrimination between indica and japonica rice. Theor. Appl. Genet. 84: 947–951 (1992)

    CAS  Google Scholar 

  6. Bryant RJ, McClung AM. Volatile profiles of aromatic and non-aromatic rice cultivars using SPME/GC-MS. Food Chem. 124: 501–513 (2011)

    Article  CAS  Google Scholar 

  7. Kelly S, Baxter M, Chapman S, Rhodes C, Dennis J, Brereton P. The application of isotopic and elemental analysis to determine the geographical origin of premium long grain rice. Eur. Food Res. Technol. 214: 72–78 (2002)

    Article  CAS  Google Scholar 

  8. Rhyu MR, Kim EY, Ahn MO, Kim SS. Discrimination of domestic rice cultivars by capillary electrophoresis. Korean J. Food Sci. Technol. 6: 1252–1285 (1998)

    Google Scholar 

  9. Lee JC, Kim YH. Comparison of volatile flavor components of korean aromatic rice and nonaromatic rice. J. Korean Soc. Food Sci. Nutr. 28: 299–304 (1999)

    CAS  Google Scholar 

  10. Song J, Son JR, Park NK, Cho HY, Chang KS. Classification of japonica varieties by volatile component patterns of milled and cooked rice using electronic nose. Korean J. Crop Sci. 50: 447–452 (2005)

    Google Scholar 

  11. Son HJ, Kang JH, Hong EJ, Lim CL, Choi JY, Noh BS. Authentication of sesame oil with addition of perilla oil using electronic nose based on mass spectrometry. Korean J. Food Sci. Technol. 41: 609–614 (2009)

    Google Scholar 

  12. Han HJ, Park SW, Jung HY, Kim JS, Dong HM, Noh BS. Analysis off-flavor generated from a polyethylene terephthalate water bottles and caps by using an electronic nose. Korean J. Food Sci. Technol. 4: 425–430 (2015)

    Article  Google Scholar 

  13. Peris M, Escuder-Gilabert L. A 21st century technique for food control: Electronic noses. Anal. Chim. Acta. 638: 1–15 (2009)

    Article  CAS  Google Scholar 

  14. Nagaraju J, Kathirvel M, Kumar RR, Siddiq EA, Hasnain SE. Genetic analysis of traditional and evolved Basmati and non-Basmati rice varieties by using fluorescence-based ISSR-PCR and SSR markers. P. Natl. Acad. Sci. USA 99: 5836–5841 (2002)

    Article  CAS  Google Scholar 

  15. Julian BO. Varietal impact on rice quality. Cereal Food. World 43: 207–222 (1998)

    Google Scholar 

  16. Kwon YK, Cho RK. Development of identification method of rice varieties using image processing technique. Agr. Chem. Biotechnol. 41: 160–165 (1998)

    Google Scholar 

  17. Rhyu MR, Kim EY, Ahn MO, Kim SS. Discrimination of domestic rice cultivars by capillary electrophoresis. Korean J. Food Sci. Technol. 30: 1252–1258 (1998)

    Google Scholar 

  18. Minabe M. Studies on soft-textured rice grain. 14. On the influence of site with special reference to meteorological factors on the chemical components and arrangement of starch cells in cross sections of rice grain. Jpn. J. Crop Sci. 49: 95–102 (1980)

    Google Scholar 

  19. Choi HC, Cho SY, Kim KH. Varietal difference and environmental variation in protein content and/or amino acid composition of rice seed. Korean J. Crop Sci. 35: 379–386 (1990)

    Google Scholar 

  20. Cheajesadagul P, Arnaudguilhem C, Shiowatana J, Siripinyanond, A, Szpunar J. Discrimination of geographical origin of rice based on multi-element fingerprinting by high resolution inductively coupled plasma mass spectrometry. Food Chem. 141: 3504–3509 (2013)

    Article  CAS  Google Scholar 

  21. Kim Y, Lee S, Chung H, Choi H, Cha K. Improving Raman spectroscopic differentiation of the geographical origin of rice by simultaneous illumination over a wide sample area. J. Raman Spectrosc. 40: 191–196 (2009)

    Article  CAS  Google Scholar 

  22. Suzuki Y, Chikaraishi Y, Ogawa NO, Ohkouchi N, Korenaga T. Geographical origin of polished rice based on multiple element and stable isotope analyses. Food Chem. 109: 470–475 (2008)

    Article  CAS  Google Scholar 

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Correspondence to Bong Soo Noh.

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Han, H.J., Lee, S.H., Moon, J.Y. et al. Discrimination of the cultivar, growing region, and geographical origin of rice (Oryza sativa) using a mass spectrometer-based electronic nose. Food Sci Biotechnol 25, 695–700 (2016). https://doi.org/10.1007/s10068-016-0121-8

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  • DOI: https://doi.org/10.1007/s10068-016-0121-8

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