패턴인식법에 의한 시판 녹차의 산지 및 채엽시기 추정

• 영문명: Estimation of Harvest Period and Cultivated Region of Commercial Green Tea by Pattern Recognition
• 발행기관: 대한약학회
• 저자명: 주홍매(Hongmei Zhu) 김정숙(Jung Sook Kim) 박경래(Kyung Lae Park) 조정원(Cheong Weon Cho) 김영섭(Young Sup Kim) 김정우(Jung Woo Kim) 유시용(Shi Yong Ryu) 강종성(Jong Seong Kang)
• 간행물 정보: 『약학회지』제52권 제2호 (2008년), 51~59쪽, 전체 9쪽
• 주제분류: 의약학 > 기타의약학
• 파일형태: PDF
• 발행일자: 2008.04.30

영문 초록

Quantitative analysis of (+)-catechin (C), (-)-epigallocatechin (EGC), (-)-epicatechin (EC), (-)-epigallocatechin gallate (EGCG), (-)-epicatechin gallate (ECG) and caffeine in commercial green tea was carried out by HPLC employing gradient elution of 0.1% acetic acid and acetonitrile on ODS column. The optimized HPLC method provided satisfactory linearity, accuracy and precision. The relationship between the concentration of the components and cultivated region of the commercial green tea was not significant, while the concentration of EGCG, ECG and caffeine decreased significantly in the later harvested green tea samples (p<0.01). Multivariate analysis of the components was performed in order to characterize and evaluate the cultivated region and harvest period-related variation. Hierarchical clustering and discriminant analysis were applied to classify the geographical and seasonal origins of the green tea samples. The classification accuracy of the cultivated region and harvest period by discriminant analysis was 95% and 91%, respectively, indicating that this methode could be reliable and convenient for the quality control of herbal products with different origin.

키워드

green tea catechin discriminant analysis hierarchical clustering harvest period