亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The geographical discrimination of Ginger (Zingiber officinale) using HPLC and UV spectroscopy in combination with chemometric analysis

作者
MT Abdou,HA Gad,Sherweit Hamed El-Ahmady,Mohamed M. Al‐Azizi
出处
期刊:Planta Medica [Thieme Medical Publishers (Germany)]
卷期号:81 (S 01): S1-S381
标识
DOI:10.1055/s-0036-1596188
摘要

Ginger ( Zingiber officinale Roscoe) is a popular spice used worldwide owing to its pungency and aromaticity. In addition, this rhizome has been traditionally used for its medicinal properties in many countries [1]. The most valuable products of ginger are its volatile oil and oleoresin which are highly affected by many factors including geographical origin and methods of preparation [2]. This fact contributed to its quality control challenge, which prompted this study. Nineteen samples of the rhizomes (in powder and entire forms) were collected from Taiwan (1 sample), China (6), Nigeria (1), India (1), Sri Lanka (2), Thailand (1) as well as 7 commercial samples of unconfirmed origin collected in Egypt. The methanolic extracts were assessed using HPLC where the entire chromatographic profile represented by 59 peaks was subjected to chemometric analysis. The 4 major components that accounted for most of the variance were identified as 6, 8, and 10 gingerol as well as 6-shagoal; repeatedly reported in literature as the main phenolic components of ginger [3]. To compare the samples, different pattern recognition procedures including PCA and HCA were applied. The results were confirmed using UV spectroscopy by applying the same computational software. The clustering pattern of the samples showed a clear demarcation of most of the Chinese samples except for samples Ch5 & 6 with much higher concentrations of 8 and 10-gingerol. The sample from Taiwan appeared as a distinct outlier due to its considerably high concentration of 6-gingerol. The Nigerian samples showed higher concentrations of 6 and 10-gingerol which attributed to its clustering in the top right quadrant in both score plots. The 7 commercial samples were correctly clustered closely to their claimed geographical origins (Com 1, 2 and 3 from China; 4 and 5 from Nigeria; 6 and 7 from India). This simple method can be used to discriminate as well as assert the quality of ginger from different origins. Fig. 1: PCA score plot showing segregation of 19 ginger samples using UV spectroscopy Fig. 2: PCA score plot showing segregation of 19 ginger samples using HPLC

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
老实映菱完成签到,获得积分10
1秒前
科研通AI6.2的应助被洁净雨采纳,获得10
2秒前
6秒前
李爱国的应助被舒服的沛菡采纳,获得10
8秒前
10秒前
10秒前
12秒前
Yy123完成签到,获得积分20
13秒前
合适依琴发布了新的文献求助10
15秒前
Yy123发布了新的文献求助10
15秒前
null的应助被科研通管家采纳,获得10
20秒前
null的应助被科研通管家采纳,获得10
20秒前
拼搏愚志完成签到,获得积分10
20秒前
斯文败类的应助被Yy123采纳,获得10
25秒前
朔月熊完成签到 ,获得积分10
25秒前
31秒前
文文发布了新的文献求助10
37秒前
38秒前
Jasper的应助被文文采纳,获得10
43秒前
hero发布了新的文献求助10
45秒前
科研通AI6.2的应助被洁净雨采纳,获得10
54秒前
56秒前
呆萌访琴完成签到,获得积分10
1分钟前
深情大象完成签到,获得积分10
1分钟前
孔秋词完成签到,获得积分10
1分钟前
1分钟前
1分钟前
76完成签到 ,获得积分10
1分钟前
1分钟前
小二郎的应助被洁净雨采纳,获得10
1分钟前
单身的擎完成签到,获得积分10
1分钟前
无极微光的应助被Perse采纳,获得20
1分钟前
小巧慕儿完成签到,获得积分10
1分钟前
2分钟前
田様的应助被科研通管家采纳,获得10
2分钟前
ding的应助被科研通管家采纳,获得10
2分钟前
2分钟前
2分钟前
李仟亿完成签到,获得积分10
2分钟前
科研通AI6.2的应助被宜兴彭于晏采纳,获得100
2分钟前
高分求助中
(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
Energie-Contracting 1500
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Mathematical models in hydrology 1000
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Introduction to Industrial/Organizational Psychology 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8091413
求助须知:如何正确求助?哪些是违规求助? 9503858
关于积分的说明 21437612
捐赠科研通 7663380
什么是DOI,文献DOI怎么找? 3405023
关于科研通互助平台的介绍 2533270
邀请新用户注册赠送积分活动 2443686