• Title/Summary/Keyword: defective coffee bean

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Quality characteristics of ground coffee extracts according to physical and chemical defects (커피빈의 물리화학적 결점에 따른 추출액의 품질특성)

  • Sung, Jun-Hyung;Cho, Jeong-Seok;Lee, Hyeon-Jeong;Choi, Ji-Young;Lee, Yeong-Min;Luo, Jin;Moon, Kwang-Deog
    • Food Science and Preservation
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    • v.23 no.5
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    • pp.638-644
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    • 2016
  • To examine the utilization possibility of defective coffee beans, non-defective and defective coffee bean were compared by means of its physiochemical properties and antioxidant capacities measured by DPPH radical scavenging activity, FRAP assay, total phenol contents, functional component (trigonelline, caffeine, chlorogenic acid) contents. After roasting process, pH and soluble solid contents of coffee extracts decreased; $L^*$ value decreased while $a^*$ and $b^*$ values increased. DPPH radical scavenging activities of defective green bean extracts were higher than that of non-defective green bean extracts. Immature green bean extract showed the highest radical scavenging activity. In FRAP assay, green bean extracts ranged from 15.28~21.80 mM TE which was higher than roasted bean extracts which showed 14.81~16.38 mM TE. Total phenol contents of green bean extracts ranged 191.06~256.25 mg% GAE which was higher than that of roasted bean extracts showed 161.91~173.44 mg% GAE. The contents of trigonelline, caffeine, chlorogenic acid in immature green bean extract were the highest, which showed 895.20 mg/L, 825.85 mg/L and 3,836.94 mg/L respectively. Each contents were decreased after roasting process. Results of this study suggest that defective coffee bean can be used as a functional food material.

Analysis of Flavor Pattern of Various Coffee Beans Using Electronic Nose (원두 종류에 따른 커피의 향기패턴 분석)

  • Kim, Ki Hwa;Kim, Ah Hyun;Lee, Jae Keun;Chun, Myoung Sook;Noh, Bong Soo
    • Korean Journal of Food Science and Technology
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    • v.46 no.1
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    • pp.1-6
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    • 2014
  • 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.