E-Eye, Flash GC E-Nose, and HS-GC-MS Combined With Chemometrics to Identify the Different Processed Products of Cyperus rotundus.

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Phytochemical Analysis Pub Date : 2026-04-01 Epub Date: 2026-01-07 DOI:10.1002/pca.70044
Xi Mei, Yabo Shi, Bin Wang, Rong Xue, Qian Zhang, Chunqin Mao, Tulin Lu, Lin Li
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Abstract

Introduction: Cyperus rotundus (CR) has been widely explored for the treatment and prevention of diseases. In traditional Chinese medicine (TCM), it is commonly used to treat liver diseases, abdominal pain, irregular menstruation, and dysmenorrhea. It has various processed products in clinical prescription; however, the quality distinctions among different processed products of CR remain unexplored.

Objectives: To explore the quality distinctions in color, flavor, and volatile compounds among four processed products of CR.

Methods: Eleven batches for each of the four processed products of CR were prepared. The color of the powders was determined utilizing the electronic eye (E-eye). The flavor information of each sample was analyzed with flash gas chromatography electronic nose (Flash GC e-nose). The volatile components were characterized using headspace gas chromatography-mass spectrometry (HS-GC-MS), and the data were analyzed employing chemometric methods.

Results: The color parameters L*, a*, and b* were consistently obtained by E-eye, and four discriminant functions were established to distinguish different CR products rapidly. Using the Flash GC e-nose, 20 odor compounds were identified, among which 2-methylpropanal, 2-methylbutanal, methyl 2-methylbutyrate, and ethyl 2-methylcrotonate were generated after vinegar-processing, wine-processing, and stir-frying. A total of 36 volatile compounds were identified by HS-GC-MS with acetic acid and furfural being newly generated. Four potential differential chemical markers were selected.

Conclusion: Overall, this study provides novel ideas and methods for the identification and quality evaluation of four processed products of CR. Furthermore, it also provides a reference for standardizing the processing technology of TCM.

E-Eye、Flash GC- E-Nose、HS-GC-MS联合化学计量学对香附不同加工产品的鉴别。
摘要:圆形香柏(Cyperus rotundus, CR)在疾病的治疗和预防方面得到了广泛的探索。在中医中,它通常用于治疗肝脏疾病、腹痛、月经不调和痛经。临床处方加工产品种类繁多;然而,不同的CR加工产品之间的质量差异仍未被探索。目的:探讨四种中药复方制剂在颜色、风味、挥发性成分等方面的质量差异。方法:制备中药复方制剂各11批。使用电子眼(E-eye)确定粉末的颜色。用闪光气相色谱电子鼻(flash GC电子鼻)分析各样品的风味信息。采用顶空气相色谱-质谱(HS-GC-MS)对挥发性成分进行了表征,并用化学计量学方法对数据进行了分析。结果:E-eye获得的颜色参数L*、a*、b*一致,并建立了4个判别函数,可快速区分不同CR产品。利用Flash GC电子鼻鉴定了20种气味化合物,其中2-甲基丙醛、2-甲基丁醛、2-甲基丁酸甲酯和2-甲基巴豆酸乙酯经过醋加工、葡萄酒加工和炒制产生。hplc - gc - ms共鉴定出36种挥发性化合物,其中乙酸和糠醛为新生成化合物。选择了4种电位差异化学标记物。结论:总体而言,本研究为四种中药炮制品的鉴别和质量评价提供了新的思路和方法,为规范中药炮制工艺提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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