Korean Journal of Food Science and Technology (한국식품과학회지)

Korean Society of Food Science and Technology (한국식품과학회)
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Analysis of Melamine in Melamine-added Foods Using Mass Spectrometry-based Electronic Nose

멜라민을 함유시킨 식품에서의 MS-전자코를 이용한 멜라민 분석

  • Hong, Eun-Jeung (Department of Food Science and Technology, Seoul Women's University) ;
  • Noh, Bong-Soo (Department of Food Science and Technology, Seoul Women's University)
  • 홍은정 (서울여자대학교 식품공학과) ;
  • 노봉수 (서울여자대학교 식품공학과)
  • Received : 2010.08.17
  • Accepted : 2010.10.03
  • Published : 2010.12.31
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Abstract

Melamine has been used to increase the protein contents of powdered foods by adding a nitrogen source. Samples were prepared by blending melamine with powdered products such as powdered milk and coffee whitener. Melamine was added at ratios of 100:0, 80:20, 50:50, 30:70, and 0:100 (w/w), respectively. A Mass Spectrometry-based Electronic Nose and DFA (discriminant function analysis) were used to determine the amount of melamine. The electronic nose results were completely separated by the mixing ratios of melamine.

멜라민을 첨가하는 제품들에 대한 기존의 분석법의 한계를 극복하고자 전자코를 이용하여 멜라민 첨가 진위 여부와 첨가 함량의 차이를 분석하였다. 그 결과 멜라민을 분유와 커피 크림에 농도별로 첨가하였을 때 차이가 뚜렷이 구분되었으며 이를 통해 얻은 멜라민 농도와 DF1간의 상관관계식(분유: DF1= -0.006x(멜라민 농도)+0.327, 커피 크림: DF1= -0.006x+0.316)을 바탕으로 멜라민 함량을 적은 오차 범위 내에서 예측 가능하였다. 또한 멜라민을 urea로부터 합성하는 과정에서 생성되는 부산물인 cyanuric acid는 멜라민과 유사하여 기존의 분석방법으로는 쉽게 구분되지 않지만 전자코를 통하여 확연히 구분되었다. 멜라민을 분유나 커피 크림에 첨가하였을 경우에는 농도별로 차이를 보였으며 urea 혹은 cyanuric acid 첨가 유무에 따라서는 미세한 차이는 보였지만 첨가양에 따른 일정한 경향을 나타나지 않은 것으로 보아 유사물질의 영향을 거의 받지 않으면서 멜라민 자체만의 분석이 가능한 것으로 보인다. 이러한 연구를 통하여 향후 미지의 멜라민 함량이 첨가된 1차 가공품에 대한 함유량을 분석하는 것이 가능하며 제품의 품질관리시 활용할 수 있는 대안을 제시할 수 있을 것이다.

Keywords

References

  1. Woon JH, Lim KJ. Understanding and response of melamine in food. Food Industry 206: 51-65 (2008)
  2. Hau AK, Kwan TH, Li PK. Melamine toxicity and the kidney. J. Am. Soc. Nephrol. 20: 245-250 (2009) https://doi.org/10.1681/ASN.2008101065
  3. Kang HG. Mini-riview: Melamine related urianty stone disease. J. Korean Soc. Pediatric Nephrol. 13: 21-25 (2009) https://doi.org/10.3339/jkspn.2009.13.1.21
  4. Ehling S, Tefera S, Ho IP. High-performance liquid chromatographic method for the simultaneous detection of the adulteration of cereal flours with melamine and related triazine by-products ammeline, ammelide, and cyanuric acid food additives and contaminants. Food Addit. Contam. 24: 1319-1325 (2007) https://doi.org/10.1080/02652030701673422
  5. Chou SS, Hwang DF, Lee HF. High performance liquid chromatographic determination of cyromazine and its derivative melamine in poultry meats and eggs. J. Food Drug Anal. 11: 290-295 (2003)
  6. Qing WQ, Xin FK, Wei S, Qiang RH, Rong Z, Hui SC. Highly sensitive detection of melamine based on reversed phase liquid chromatography mass spectrometry. Chinese Sci. Bull. 54: 732-737 (2009) https://doi.org/10.1007/s11434-009-0114-6
  7. Filigenzi MS, Tor ER, Poppenga RH, Aston LA, Puschner B. The determination of melamine in muscle tissue by liquid chromatography/ tandem mass spectrometry. Rapid Commun. Mass Sp. 21: 4027-4032 (2007) https://doi.org/10.1002/rcm.3289
  8. Yokley RA, Mayer LC, Rezaaiyan R, Manuli ME, Cheung MW. Analytical method for the determination of cyromazine and melamine residues in soil using LC-UV and GC-MSD. J. Agr. Food Chem. 48: 3352-3358 (2000) https://doi.org/10.1021/jf991231w
  9. Yan N, Zhou L, Zhu Z, Chen X. Analytical method for the determination of cyromazine and melamine residues in soil using LCUV and GC-MSD. J. Agr. Food Chem. 57: 807-811 (2009) https://doi.org/10.1021/jf803429e
  10. Huang GM, Yang ZO, Cooks RG. High-throughput trace melamine analysis in complex mixtures. Chem. Commun. 5: 556-558 (2009)
  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)
  12. Kang JH, Son HJ, Hong EJ, Noh BS. Discrimination of grading pungency for red peppers spice using electronic nose based on mass spectrometer. Food Eng. Prog. 14: 35-40 (2010)
  13. Lim CL, Son HJ, Hong EJ, Noh BS. Discrimenation of geographical origin of beef using electronic nose based on mass spectrometer. Korean J. Food Sci Technol. 40: 717-720 (2008)
  14. Ragazzo-Sanchez JA, Chalier P, Chevalier D, Calderon-Santoyo M, Ghommidh C. Identification of different alcoholic beverages by electronic nose coupled to GC. Sensor. Actuat. B-Chem. 134: 43-48 (2008) https://doi.org/10.1016/j.snb.2008.04.006