Optimization of Roasted Perilla Leaf Tea Using Response Surface Methodology

반응표면분석을 이용한 들깨잎차 볶음처리의 최적화

  • Han, Ho-Suk (Department of Food Science & Technology Yeungnam University) ;
  • Park, Jung-Hye (Department of Food Science & Technology Yeungnam University) ;
  • Choi, Hee-Jin (Department of Food Science & Technology Yeungnam University) ;
  • Sung, Tae-Su (Division of Food Science, Changwon Junior College) ;
  • Woo, Hi-Seob (School of Food Science, Dongju College) ;
  • Choi, Cheong (Department of Food Science & Technology Yeungnam University)
  • 한호석 (영남대학교 생물산업공학부) ;
  • 박정혜 (영남대학교 생물산업공학부) ;
  • 최희진 (영남대학교 생물산업공학부) ;
  • 성태수 (창원전문대학 식품영양과) ;
  • 우희섭 (동주대학 식품과학) ;
  • 최청 (영남대학교 생물산업공학부)
  • Published : 2004.03.31

Abstract

Response surface methodology (RSM) was applied in roasting processes of perilla leaves to develop a high quality perilla leaf tea. The Hunter color parameters and electron donating ability were monitored to optimize organoleptic properties of perilla leaf tea. The roasting processes were based on the central composite design with primary variables-roasting temperature $(140{\sim}220^{\circ}C)$, time $(5{\sim}25)$, and reaction variables-sensory test, electron donating ability. From the variables, the roasting condition was optimized using statistical analysis system (SAS) program as developing the functional tea using perilla leaf. Hunter color L and b values of the powdered samples increased with the roasting processes, but Hunter color a value decreased. Electron donating ability was influenced by roasting temperature (p<0.01) and time (p<0.01), and optimum condition selected was at $220^{\circ}C$ for 15 min with coefficient of determinations $(R^2)$ above 0.98. After preference test of perilla leaf tea using parameter of taste, color, and flavor, we can estimate that the optimal roasting condition of preilla leaf for function tea manufacturing are $210{\sim}220^{\circ}C$ for $10{\sim}20$ min by response surface methodology (RSM). Tyrosinase, xanthine oxidase and electron donating ability were 10.14, 14.37 and 59.19% of perilla leaf tea.

들깨잎차 개발을 목적으로 볶음처리 한 차의 관능적 특성 및 전자공여능 등을 조사하고 반응표면분석을 통한 최적화를 시도하였다. 중심합성계획에 따라 볶음온도 $140{\sim}220^{\circ}C$와 볶음시간 $5{\sim}25$분 등 두 가지 조절을 독립변수로 하고 관능검사를 통한 맛, 색, 향기와 전자공여능의 기능적 특성을 종속변수로 하여 측정한 결과를 statistical analysis system(SAS) program을 사용하여 들깻잎의 기능성 차 개발을 위한 볶음조건을 최적화 하였다. 깻잎차는 볶음처리에 따라 Hunter 색체계에서의 백색도(L)와 황색도(b)는 볶음시간과 볶음온도가 증가될수록 높아진 반면, 적색도(a)는 감소하는 경향을 나타내었다. DPPH에 의한 전자공여능은 볶음온도와 볶음시간이 1% 유의수준에서 영향을 미치며, 회귀식의 결정계수$(R^2)$는 0.9828로써 $220^{\circ}C$, 15분에서 볶음처리 했을 때 70.30%로 높게 나타났다. 깻잎차의 관능적 품질로써 맛, 색 및 향은 볶음처리와 더불어 기호도가 증가되었으며, 반응표면분석(RSM, response surface methodology)에 의해 볶음온도 $210{\sim}220^{\circ}C$,볶음시간 $10{\sim}20$분 범위를 최적 볶음조건으로 예측할 수 있었다. 최적볶음조건에 의해 만들어진 들깨잎차의 효소활성을 측정한 결과 tyrosinase, xanthine oxidase 및 전자공여능에서 각각 10.14, 14.37 및 59.19%의 저해효과를 보였다.

Keywords

References

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