A strategy to distinguish similar traditional Chinese medicines by liquid chromatography–mass spectrometry, electronic senses, and gas chromatography–ion mobility spectrometry: Marsdeniae tenacissimae Caulis and Paederiae scandens Caulis as examples

化学 电子鼻 色谱法 电子舌 质谱法 气相色谱-质谱法 离子迁移光谱法 线性判别分析 品味 人工智能 食品科学 计算机科学
作者
Jiawei Wang,Zhidong Pei,Yue‐Hua Chen,Siyu Li,Tian‐Min Wang,Ting‐Guo Kang,Na Li,Ya‐Mei Song,Hui‐Peng Song,Hui Zhang
出处
期刊:Phytochemical Analysis [Wiley]
被引量:1
标识
DOI:10.1002/pca.3425
摘要

Abstract Introduction Marsdeniae tenacissimae Caulis (MTC), a popular traditional Chinese medicine, has been widely used in the treatment of tumor diseases. Paederiae scandens Caulis (PSC), which is similar in appearance to MTC, is a common counterfeit product. It is difficult for traditional methods to effectively distinguish between MTC and PSC. Therefore, there is an urgent need for a rapid and accurate method to identify MTC and PSC. Objectives The aim is to distinguish between MTC and PSC by analyzing the differences in nonvolatile organic compounds (NVOCs), taste, odor, and volatile organic compounds (VOCs). Methods Liquid chromatography–mass spectrometry (LC‐MS) was utilized to analyze the NVOCs of MTC and PSC. Electronic tongue (E‐tongue) and electronic nose (E‐nose) were used to analyze their taste and odor respectively. Gas chromatography–ion mobility spectrometry (GC‐IMS) was applied to analyze VOCs. Finally, multivariate statistical analyses were conducted to further investigate the differences between MTC and PSC, including principal component analysis, orthogonal partial least squares discriminant analysis, discriminant factor analysis, and soft independent modeling of class analysis. Results The results of this study indicate that the integrated strategy of LC‐MS, E‐tongue, E‐nose, GC‐IMS, and multivariate statistical analysis can be effectively applied to distinguish between MTC and PSC. Using LC‐MS, 25 NVOCs were identified in MTC, while 18 NVOCs were identified in PSC. The major compounds in MTC are steroids, while the major compounds in PSC are iridoid glycosides. Similarly, the distinct taste difference between MTC and PSC was precisely revealed by the E‐tongue. Specifically, the pronounced bitterness in PSC was proven to stem from iridoid glycosides, whereas the bitterness evident in MTC was intimately tied to steroids. The E‐nose detected eight odor components in MTC and six in PSC, respectively. The subsequent statistical analysis uncovered notable differences in their odor profiles. GC‐IMS provided a visual representation of the differences in VOCs between MTC and PSC. The results indicated a relatively high relative content of 82 VOCs in MTC, contrasted with 32 VOCs exhibiting a similarly high relative content in PSC. Conclusion In this study, for the first time, the combined use of LC‐MS, E‐tongue, E‐nose, GC‐IMS, and multivariate statistical analysis has proven to be an effective method for distinguishing between MTC and PSC from multiple perspectives. This approach provides a valuable reference for the identification of other visually similar traditional Chinese medicines.
最长约 10秒,即可获得该文献文件

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
snowball完成签到,获得积分10
刚刚
1秒前
duoduozs发布了新的文献求助10
1秒前
velpro完成签到,获得积分10
1秒前
qqqq完成签到,获得积分10
1秒前
2秒前
2秒前
溪风完成签到,获得积分10
2秒前
ting发布了新的文献求助10
3秒前
4秒前
Xxxnnian发布了新的文献求助30
4秒前
听风暖完成签到 ,获得积分10
5秒前
li发布了新的文献求助10
5秒前
赘婿应助伊布采纳,获得10
5秒前
gaga完成签到,获得积分10
5秒前
小蘑菇应助reck采纳,获得10
6秒前
清风荷影完成签到 ,获得积分10
6秒前
酷波er应助动如脱兔采纳,获得10
7秒前
7秒前
7秒前
7秒前
8秒前
圈圈发布了新的文献求助10
8秒前
易达发布了新的文献求助10
8秒前
追梦人完成签到,获得积分10
8秒前
8秒前
实验室扛把子完成签到,获得积分10
8秒前
在水一方应助清爽忆山采纳,获得10
9秒前
小马甲应助日月山河永在采纳,获得10
9秒前
娃娃发布了新的文献求助10
10秒前
10秒前
任医生发布了新的文献求助10
10秒前
冷眼观潮完成签到,获得积分10
10秒前
10秒前
守约发布了新的文献求助10
11秒前
12秒前
凌小飞侠发布了新的文献求助10
12秒前
小T儿完成签到,获得积分10
12秒前
MicroCytoYL发布了新的文献求助10
12秒前
yzy发布了新的文献求助10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527304
求助须知:如何正确求助?哪些是违规求助? 3107454
关于积分的说明 9285518
捐赠科研通 2805269
什么是DOI,文献DOI怎么找? 1539827
邀请新用户注册赠送积分活动 716708
科研通“疑难数据库(出版商)”最低求助积分说明 709672