• 생약학회지
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• 제47권1호
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• pp.79-83
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• 2016

This study developed an HPLC analysis method for the determination of isoegomaketone (IK) and perillaketone (PK) in Perilla frutescens (L.) Britton leaves. P. frutescens ethanol extract was optimized through an HPLC analysis using a C18 column ($250{\times}4.6mml$, D, $S-5{\mu}m$, 12 nm) with gradient elution of water and acetonitrile as the mobile phase at a flow rate of 1 mL/min and a UV detection wavelength of 254 nm. The results of this method showed linearity in the calibration curve at a coefficient of correlation ($R^2$) of IK 0.9995, PK 0.9998. The limits of detection (LOD) for IK and PK were $0.234{\mu}g/mL$ and $0.952{\mu}g/mL$. The limits of quantification (LOQ) for IK and PK were $0.017{\mu}g/mL$ and $0.043{\mu}g/mL$. The inter-day precision RSDs of IK and PK in the P. frutescens were 1.25 to 2.69% and 0.36 to 1.10%, respectively, and the intra-day precision RSDs of IK and PK were 0.96 to 2.51% and 0.90 to 1.93%, respectively. The accuracies of IK and PK were 96.31 to 97.92% and 101.26 to 105.14%. In conclusion, this method was applied successfully to the detection of IK and PK in P. frutescens.

• 한국약용작물학회지
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• 제12권2호
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• pp.97-101
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• 2004

Volatile oil components were analysed in Perilla frutescens accessions collected from different regions in South Korea and identified chemotypes based on the major volatile oil components. Major components out of 30 compounds identified were limonene, perillaldehyde, perillaketone, isoegomaketone, beta-caryophyllene, beta-farnesene, myristicin, and dillapiole. P. frotescens collections were classified into four chemotypes : PA type (57.7% limonene and 19.8% perillaldehyde), PK type (89.8% perillaketone), ST type (82.4% sesquiterpene, as 54.5% beta-caryophyllene and 27.9% beta-farnesene) and PP type (40.3% phenylpropenes as 13.6% myristicin and 26.7% dillapiole) and 37.8% sesquiterpenes. The majorities of P. frutescens collections in this study belong to PA type (41.9%) and PK type(38.8%).

• 한국작물학회지
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• 제44권2호
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• pp.154-158
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• 1999

Volatile flavor compounds from perilla leaves were extracted and analyzed with different methods, head-space analysis (HS), simultaneous steam distillation and extraction (SDE) , and solvent extraction (SE), and to compare their efficiencies for quick analysis. Over 30 volatile compounds were isolated and 28 compounds were identified by GC/MSD. Major compound was perillaketone showing the compositions of which were 92% in SDE method, 86% in headspace analysis, and 62% in solvent extraction method. For quick evaluation of leaf flavor in perilla, it was desirable because the headspace analysis method had a shorter analyzing time and smaller sample amount than the other methods.

• 한국약용작물학회지
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• 제16권4호
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• pp.242-254
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• 2008

들깻잎 신품종 도입을 위해 재배된 30계통의 선발 품종의 정유성분 분석 결과를 요약하면 다음과 같다. 30 품종 모두 40가지 이상의 정유 성분들을 함유하고 있고 상위 3순위의 주요 성분들이 강원도 횡성군 동산면에서 재배된 15 품종은 D104 (56%), D107 (67.6%)을 제외하고 $71{\sim}86%$까지 차지하고 있었고 강원대학교 교내 포장에서 재배된 15 품종은 S114 (63.8%), S140 (68.3%)를 제외하고 $77{\sim}88%$까지 함유하고 있었다. 30 품종 모두 가장 많이 함유하고 있는 정유 성분이 75%를 넘지 않았고 다양한 성분 조성을 갖고 있어 다양한 화학형을 보였으나 정확한 품종 분류를 위해서는 GC/MS를 통한 후속연구가 필요하다. 본 연구 결과 perillaketone의 함량을 줄이고 대신 다른 향기 성분이 증가된 잎 들깨 도입 및 신품종 육성을 위한 기본정보로서 부합된다고 판단된다.