한국식품과학회지 (Korean Journal of Food Science and Technology)

한국식품과학회 (Korean Society of Food Science and Technology)
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원두 종류에 따른 커피의 향기패턴 분석

Analysis of Flavor Pattern of Various Coffee Beans Using Electronic Nose

  • 투고 : 2013.07.02
  • 심사 : 2013.10.28
  • 발행 : 2014.02.28
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초록

가공방식을 달리한 커피 원두와 분말을 대상으로 향기패턴 분석한 결과 커피 분말의 경우 washed coffee, pulped natural coffee, natural coffee 순으로 향이 높은 것으로 나타났다. 다음으로는 결점원두를 대상으로 통계 처리한 결과 일반원두에 비해서 향 함량이 낮은 것으로 나타났다. 이러한 결과는 향후 커피 원두의 품질관리 및 평가에 적용될 수 있음을 확인하였고 향후 전자코가 커피원두의 등급을 매기는 커피원료전문가(Q-grader)로서의 역할이 기대된다.

An 'electronic nose' based on mass spectrometer and discriminant function analysis (DFA) was used to evaluate the grade of coffee beans. The data obtained from the electronic nose was analyzed by DFA. The discriminant function first score (DF1) of natural coffee beans showed a greater decrease than the different processing methods. Defective coffee beans were separated well from non-defective coffee beans by DF1, which correlated with a weaker flavor than that of the others. Flavor patterns of the defective and the non-defective coffee beans were determined as complementary information. The flavor patterns obtained in this study can explain, in a simplified way, the differences between the defective and the non-defective coffee beans.

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참고문헌

  1. Batista LR, Chalfoun SM, Prado G, Schwan RF, Wheal AE. Toxigenic fungi associated with processed (green) coffee beans (Coffea arabica L.). Int. J. Food Microbiol. 85: 293-300 (2003) https://doi.org/10.1016/S0168-1605(02)00539-1
  2. Feria-Morale AM. Examining the case of green coffee to illustrate the limitations of grading systems/expert tasters in sensory evaluation for quality control. Food Qual. Prefer. 13: 355-367 (2002) https://doi.org/10.1016/S0950-3293(02)00028-9
  3. Song JB. The Science of Coffee. Jubean, Seoul, Korea. pp. 45-52 (2008)
  4. Kim JW. To classify of quality in coffee beans. pp. 93-96. In Food Culture. Korea Food Research Institute 9ed). DadaArt, Seoul, Korea (2008)
  5. Falasconi M, Concina I, Gobbi E, Sbervelieri, Pulvirenti A, Sbervelieri G. Electronic nose for microbiological quality control of food products. Int. J. Electrochem. 2012: 1-12 (2012)
  6. Paolesse R, Alimelli A, Martinelli E, Natale CD, D'Amico A, D'Egidio MG, Aureli G, Ricelli A, Fanelli C. Detection of fungal contamination of cereal grain samples by an electronic nose. Sensor. Actuat. B-Chem. 119: 425-430 (2006) https://doi.org/10.1016/j.snb.2005.12.047
  7. Balasubramanian S, Panigrahi S, Kottapalli B, Wolf-Hall CE. Evaluation of an artificial olfactory system for grain quality discrimination. LWT-Food Sci. Technol. 40: 1815-1825 (2007) https://doi.org/10.1016/j.lwt.2006.12.016
  8. Olsson J, Borjesson T, Lundstedt T, Schnurer J. Detection and quantification of ochratoxin A and deoxynivalenol in barley grains by GC-MS and electronic nose. Int. J. Food Microbiol. 72: 203-214 (2002) https://doi.org/10.1016/S0168-1605(01)00685-7
  9. Jonsson A, Winquist F, Schnurer J, Sundgren H, Lundstrom I. Electronic nose for microbial quality classification of grains. Int. J. Food Microbiol. 35: 187-193 (1997) https://doi.org/10.1016/S0168-1605(96)01218-4
  10. Gardner JW. Shumer HV, Tan TT. Application of an electronic nose to the discrimination of coffee. Sensor. Actuat. B-Chem. 6: 71-75 (1992) https://doi.org/10.1016/0925-4005(92)80033-T
  11. Pardo M, Niederjaufner G, Benussi G, Comini E, Faglia G, Sberveglieri G, Holmberg M, Lundstrom. Data preprocessing enhances the classification of different brands of espresso coffee with an electronic nose. Sensor. Actuat. B-Chem. 69: 397-403 (2000) https://doi.org/10.1016/S0925-4005(00)00499-8
  12. Seo HS, Kang HJ, Jung EH, Hwang IK. Application of GC-SAW (Surface Acoustic Wave) electronic nose to classification of origins and blended commercial brands in roasted ground coffee beans. Korean J. Food Cookery Sci. 22: 229-306 (2006)
  13. Michishita T, Akiyama M, Hirano Y, Ikeda M, Sagara Y, Araki T. Gas chromatography/olfactometry and electronic nose analyses of retronasal aroma of espresso and correlation with sensory evaluation by an artificial neural network. J. Food Sci. 75: S477-489 (2010) https://doi.org/10.1111/j.1750-3841.2010.01828.x
  14. Mori EEM, Bragagnolo N, Morgano MA, Anjos VDA, Yotsuyanagi K, Faria EV, Iyomasa JM. Brazil coffee growing regions and quality of natural, pulped natural and washed coffees. Foods Food Ingredients J. Jpn. 208: 416-423 (2003)
  15. Clifford MN. Coffee: Botany, Biochemistry and Production of Bean and Beverage. Avi Publishing Co., Westport, CT, USA. pp. 230-250 (1985)
  16. National Quality Standards - International Coffee Organization. Available from: http://dev.ico.org/documents/cy2012-13/pm-29equality-standards.pdf. Accessed Oct. 10, 2013.
  17. Ramalakshmi K, Kubra IR, Rao LJM. Physicocheminal characteristics of green coffee: comparison of graded and defective beans. J. Food Sci. 75: 333-337 (2007)

피인용 문헌

  1. Quality Characteristics and Antioxidant Activity of Espresso Coffee Prepared with Green Bean Fermented by Lactic Acid Bacteria vol.45, pp.12, 2016, https://doi.org/10.3746/jkfn.2016.45.12.1799
  2. Sensory Quality Characteristics of Colombia Coffee under Various Processing and Roasting Conditions of Green Beans vol.27, pp.4, 2017, https://doi.org/10.17495/easdl.2017.8.27.4.365
  3. Changes of biochemical components and physiological activities of coffee beans according to different roasting conditions vol.22, pp.2, 2015, https://doi.org/10.11002/kjfp.2015.22.2.182
  4. Quality characteristics of Nuruk with different water contents during fermentation period vol.25, pp.5, 2018, https://doi.org/10.11002/kjfp.2018.25.5.516
  5. Monitoring of Pesticide Residues in Immature Citrus Fruits and the Characteristics by Processing Methods vol.22, pp.4, 2018, https://doi.org/10.7585/kjps.2018.22.4.300