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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
qq完成签到 ,获得积分10
刚刚
Chan完成签到,获得积分10
1秒前
只想发财发布了新的文献求助10
2秒前
小火锅发布了新的文献求助10
4秒前
慕青应助小张采纳,获得10
7秒前
lesfilles完成签到,获得积分10
9秒前
科研通AI2S应助LMX采纳,获得10
9秒前
积极的曼彤完成签到,获得积分10
10秒前
lesfilles发布了新的文献求助10
11秒前
Ngu完成签到,获得积分10
14秒前
14秒前
星辰大海应助Marciu33采纳,获得10
15秒前
打打应助小火锅采纳,获得10
16秒前
科研通AI2S应助山月采纳,获得10
16秒前
齐弥发布了新的文献求助10
16秒前
curtisness应助点点zzz采纳,获得10
17秒前
17秒前
体贴不二发布了新的文献求助30
18秒前
19秒前
RogerCHEN完成签到 ,获得积分10
19秒前
声声慢发布了新的文献求助10
19秒前
和谐的若烟完成签到,获得积分10
22秒前
小蘑菇应助研友_Z34DG8采纳,获得10
23秒前
赘婿应助沉静的秋白采纳,获得10
23秒前
23秒前
wdlc发布了新的文献求助10
24秒前
cj完成签到,获得积分10
24秒前
艾查恩发布了新的文献求助10
25秒前
CL完成签到,获得积分10
27秒前
丘比特应助王博士采纳,获得10
29秒前
intangible应助yuyuyu采纳,获得10
29秒前
32秒前
深情安青应助zjw采纳,获得10
33秒前
汉堡包应助声声慢采纳,获得10
33秒前
orixero应助fzy采纳,获得200
34秒前
艾查恩完成签到,获得积分10
34秒前
35秒前
创新发布了新的文献求助10
37秒前
桐桐应助jia采纳,获得10
37秒前
明天一定吃早饭完成签到,获得积分20
38秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
中国荞麦品种志 1000
BIOLOGY OF NON-CHORDATES 1000
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
Discourse, Identities and Genres in Corporate Communication 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3359478
求助须知:如何正确求助?哪些是违规求助? 2982264
关于积分的说明 8702828
捐赠科研通 2663878
什么是DOI,文献DOI怎么找? 1458686
科研通“疑难数据库(出版商)”最低求助积分说明 675236
邀请新用户注册赠送积分活动 666300