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!

Comparative Study of Chuanxiong Rhizoma and Wine‐Processed Chuanxiong Rhizoma Based on HS‐GC–MS and Intelligent Sensory Technology

葡萄酒 传统医学 化学 食品科学 医学
作者
Lingfang Wu,Yakun Ren,Jianying Zhan,Yongben Ma,Q. F. Qian,Hanyu Ma,Liying Niu,Xinguo Wang,Sheng Lin
出处
期刊:Journal of Food Biochemistry [Wiley]
卷期号:2025 (1)
标识
DOI:10.1155/jfbc/9943931
摘要

Objective: To investigate the differences in odor characteristics and volatile components between raw and wine‐processed Chuanxiong Rhizoma and to establish a rapid differentiation method based on taste, smell, color, and volatile chemical components. Methods: Electronic tongue, electronic nose, and ultraviolet spectrophotometer were used to analyze 23 batches of raw and wine‐processed Chuanxiong Rhizoma. Principal component analysis, one‐way ANOVA, and orthogonal partial least‐squares discriminant analysis were employed to differentiate between Chuanxiong Rhizoma and alcoholic Chuanxiong Rhizoma. Headspace gas chromatography–mass spectrometry (HS‐GC–MS) and multivariate statistical analysis were used to identify potential differential components between raw and wine‐processed Chuanxiong Rhizoma. Correlation analysis of these differential components with odor and color was performed to identify the main compounds responsible for the differences in odor and color. Results: The electronic tongue analysis showed that after alcohol processing, Chuanxiong Rhizoma exhibited a significant decrease in aftertaste and umami, a notable reduction in saltiness, and a significant increase in sweetness, enabling rapid differentiation between raw and wine‐processed Chuanxiong Rhizoma. The electronic nose analysis indicated that odor differences were primarily detected by sensors W1W and W2W, which can be used to quickly distinguish between raw and wine‐processed Chuanxiong Rhizoma. The ultraviolet spectrophotometer results showed no significant color differences between raw and wine‐processed Chuanxiong Rhizoma, making it difficult to distinguish between the two. HS‐GC–MS identified 18 differential components between raw and wine‐processed Chuanxiong Rhizoma. Pearson correlation analysis of volatile components and odor revealed that the main differential compounds include monoterpenes, alcohols, and aliphatic aldehydes. Notably, isoterpinolene, isoamyl alcohol, 2‐ethyl‐2‐hexenal, and hexenal were found to significantly contribute to odor differences, indicating a relationship between these differential components and the efficacy changes in Chuanxiong Rhizoma before and after wine processing. Conclusion: The combined use of the electronic tongue, electronic nose, and HS‐GC–MS enables rapid and accurate differentiation between raw and wine‐processed Chuanxiong Rhizoma. This method is valuable for the processing and quality control of 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
野性的柠檬完成签到,获得积分10
3秒前
呀呀完成签到 ,获得积分10
6秒前
英俊的鞅完成签到,获得积分10
10秒前
如意的小凡完成签到,获得积分10
11秒前
科研通AI6.2应助阿北采纳,获得10
24秒前
无极微光应助墙雨轩采纳,获得20
28秒前
51秒前
54秒前
科目三应助科研通管家采纳,获得10
54秒前
爆米花应助科研通管家采纳,获得30
55秒前
清脆乘云完成签到,获得积分10
55秒前
任浩发布了新的文献求助10
55秒前
和气生财君完成签到 ,获得积分0
1分钟前
迷路的缘郡完成签到,获得积分10
1分钟前
财路通八方完成签到 ,获得积分10
1分钟前
阿兹卡班完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
舒心雨发布了新的文献求助10
1分钟前
槐序阿肆完成签到 ,获得积分10
1分钟前
彦苏王完成签到,获得积分10
1分钟前
大力凡旋完成签到,获得积分10
1分钟前
土书发布了新的文献求助30
1分钟前
愉快的惋庭完成签到,获得积分10
1分钟前
FashionBoy应助大力音响采纳,获得10
1分钟前
舒心雨完成签到,获得积分10
1分钟前
沉默的樱完成签到,获得积分10
1分钟前
1分钟前
hhhhgg完成签到,获得积分10
1分钟前
2分钟前
BIBIYU发布了新的文献求助10
2分钟前
2分钟前
鳗鱼乐枫发布了新的文献求助10
2分钟前
2分钟前
TIDUS完成签到,获得积分10
2分钟前
高高的夏波完成签到,获得积分10
2分钟前
TIDUS完成签到,获得积分10
2分钟前
BIBIYU发布了新的文献求助10
2分钟前
Akim应助鳗鱼乐枫采纳,获得10
2分钟前
fighting完成签到 ,获得积分10
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
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
the fractional Laplacian 400
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 7667526
求助须知:如何正确求助?哪些是违规求助? 9236616
关于积分的说明 19880516
捐赠科研通 7236846
什么是DOI,文献DOI怎么找? 3283960
关于科研通互助平台的介绍 2442791
邀请新用户注册赠送积分活动 2285427