Perilla resources of China and essential oil chemotypes of Perilla leaves

化学型 紫苏 紫苏 中国 分布(数学) 资源(消歧) 精油 地理 植物 生物 食品科学 生态学 数学 原材料 数学分析 计算机网络 考古 计算机科学
作者
Chang-Ling Wei,Bao-Lin Guo,Chen-Wu Zhang,Fen Zhang,Jing Tian,Xiaolin Bai,Shun-Nan Zhang
出处
期刊:China journal of Chinese materia medica [Chinese Pharmaceutical Association]
被引量:6
标识
DOI:10.4268/cjcmm20161011
摘要

This study, based on the findings for Perilla resources, aimed to describe the species, distribution, importance, features, utilization and status of quantitative Perilla resources in China. This not only helps people to know well about the existing resources and researching development, but also indicates the overall distribution, selection and rational use of Perilla resource in the future. According to the output types, Perilla resources are divided into two categories: wild resources and cultivated resources; and based on its common uses, the cultivated resources are further divided into medicine resources, seed-used resources and export resources. The distribution areas of wild resources include Henan, Sichuan, Anhui, Jiangxi, Guangxi, Hunan, Jiangsu and Zhejiang. The distribution areas of medicine resources are concentrated in Hebei, Anhui, Chongqing, Guangxi and Guangdong. Seed-used resources are mainly distributed in Gansu, Heilongjiang, Jilin, Chongqing and Yunnan. Export resource areas are mainly concentrated in coastal cities, such as Zhejiang, Jiangsu, Shandong and Zhejiang. For the further study, the essential oil of leaf samples from different areas were extracted by the steam distillation method and analyzed by GC-MS. The differences in essential oil chemotypes among different Perilla leaves were compared by analyzing their chemical constituents. The main 31 constituents of all samples included: perillaketone (0.93%-96.55%), perillaldehyde (0.10%-61.24%), perillene (52.15%), caryophyllene (3.22%-26.67%), and α-farnesene (2.10%-21.54%). These samples can be classified into following five chemotypes based on the synthesis pathways: PK-type, PA-type, PL-type, PP-type and EK-type. The chemotypes of wild resources included PK-type and PA-type, with PK-type as the majority. All of the five chemotypes are included in cultivated resources, with PA-type as the majority. Seed-used resources are all PK-type, and export resources are all PA-type. The P. frutescens var. frutescens include five chemotypes, with PK-type as the majority. The PK-type leaves of P. frutescens var. acuta are green, while the PA-type leaves are reddish purple. The P. fruteseens var. crispa was mainly PA type with reddish purple leaves. The differences of the main chemotypes provide a scientific basis for distinguishing between Zisu and Baisu in previous literatures. Based on the lung toxicity of PK and the traditional use of Perilla, the testing standard of essential oil and Perilla herb shall be built, and PA type is recommended to be used in traditional Chinese medicine.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
英姑应助喜悦的唇彩采纳,获得10
1秒前
buyi应助研友_8K2QJZ采纳,获得10
1秒前
智慧完成签到,获得积分10
2秒前
思源应助东方既白采纳,获得10
2秒前
shuo0976完成签到,获得积分10
3秒前
okok发布了新的文献求助10
3秒前
慕青应助xuhang采纳,获得10
3秒前
jiayue发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
4秒前
纪云海完成签到,获得积分10
4秒前
writan完成签到,获得积分10
5秒前
Nole应助激昂的千雁采纳,获得10
5秒前
小帅完成签到,获得积分10
5秒前
5秒前
niuniu完成签到,获得积分10
6秒前
Andyvictory完成签到,获得积分10
6秒前
wanci应助1762120采纳,获得10
6秒前
巫马剑鬼发布了新的文献求助10
7秒前
摩天大楼完成签到,获得积分10
7秒前
蓝天应助tangnan采纳,获得10
7秒前
7秒前
之之完成签到,获得积分10
7秒前
HH发布了新的文献求助10
7秒前
十六夜彦完成签到,获得积分10
7秒前
我是老大应助panzerVI采纳,获得10
7秒前
lailight完成签到,获得积分10
7秒前
7秒前
真的难找应助暖若安阳采纳,获得10
8秒前
无花果应助铝21采纳,获得10
8秒前
乐观忆之完成签到,获得积分10
9秒前
深情安青应助niuniu采纳,获得10
9秒前
唐春明完成签到,获得积分10
9秒前
110011完成签到,获得积分10
9秒前
sql完成签到,获得积分10
9秒前
LSD发布了新的文献求助20
10秒前
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7298941
求助须知:如何正确求助?哪些是违规求助? 8917470
关于积分的说明 18883237
捐赠科研通 6964001
什么是DOI,文献DOI怎么找? 3210788
关于科研通互助平台的介绍 2380130
邀请新用户注册赠送积分活动 2187333