Unknown

Dataset Information

0

Differences in Volatile Organic Compounds in Rhizoma gastrodiae (Tian Ma) of Different Origins Determined by HS-GC-IMS.

ABSTRACT: Headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and principal component analysis (PCA) were used to compare the differences in volatile organic compounds (VOCs) of Rhizoma gastrodiae (Tian Ma) from six different origins in Yunnan, Sichuan, Shaanxi, Anhui, Hubei, and Guizhou. A total of 161 signal peaks were identified, and 84 compounds were characterized, including 23 aldehydes, 19 alcohols, 12 ketones, 8 heterocyclic compounds, 7 esters, 4 phenols, 4 acids, 4 ethers, 2 amines, and 1 alkane. The results of cluster analysis and fingerprint similarity analysis based on principal component analysis and Euclidean distance indicated that there were significant differences between the volatile components of Rhizoma gastrodiae from different origins. This study demonstrated that HS-GC-IMS is simple, rapid, accurate, and has a small sample size and can achieve rapid analysis of the differences in volatile compounds between samples of different origins of Rhizoma gastrodiae.

SUBMITTER: Duan H 

PROVIDER: S-EPMC10343826 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

Differences in Volatile Organic Compounds in <i>Rhizoma gastrodiae</i> (Tian Ma) of Different Origins Determined by HS-GC-IMS.

Duan Hao H   Zhou Yaxi Y   Wang Diandian D   Yan Wenjie W  

Molecules (Basel, Switzerland) 20230621 13

Headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and principal component analysis (PCA) were used to compare the differences in volatile organic compounds (VOCs) of <i>Rhizoma gastrodiae</i> (Tian Ma) from six different origins in Yunnan, Sichuan, Shaanxi, Anhui, Hubei, and Guizhou. A total of 161 signal peaks were identified, and 84 compounds were characterized, including 23 aldehydes, 19 alcohols, 12 ketones, 8 heterocyclic compounds, 7 esters, 4 phenols, 4 acids, 4 ethers, 2  ...[more]

Similar Datasets

Unknown HS-GC-IMS Analysis of Volatile Organic Compounds in Different Varieties and Harvesting Times of <i>Rhizoma gastrodiae</i> (Tian Ma) in Yunnan Province.
| S-EPMC10536806 | biostudies-literature
Unknown Characteristic Volatile Fingerprints of Four Chrysanthemum Teas Determined by HS-GC-IMS.
| S-EPMC8658894 | biostudies-literature
Unknown Characteristic Volatile Fingerprints and Odor Activity Values in Different Citrus-Tea by HS-GC-IMS and HS-SPME-GC-MS.
| S-EPMC7766395 | biostudies-literature
Unknown Differentiation and characterization of volatile compounds in five common milk powders using HS-GC-IMS, HS-SPME-GC-MS, and multivariate statistical approaches.
| S-EPMC11791332 | biostudies-literature
Unknown Discrimination and characterization of the volatile profiles of five Fu brick teas from different manufacturing regions by using HS-SPME/GC-MS and HS-GC-IMS.
| S-EPMC9576573 | biostudies-literature
Unknown Characterization of saffron from different origins by HS-GC-IMS and authenticity identification combined with deep learning.
| S-EPMC11754009 | biostudies-literature
Unknown Comparative study on organoleptic properties and volatile organic compounds in turmeric, turmeric essential oil, and by-products using E-nose, HS-GC-IMS, and HS-GC-MS.
| S-EPMC11754684 | biostudies-literature
Unknown Insight into the Characterization of Volatile Compounds in Smoke-Flavored Sea Bass (<i>Lateolabrax maculatus</i>) during Processing via HS-SPME-GC-MS and HS-GC-IMS.
| S-EPMC9455667 | biostudies-literature
Unknown Discrimination and Characterization of the Volatile Organic Compounds in <i>Schizonepetae Spica</i> from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS.
| S-EPMC9319859 | biostudies-literature
Unknown Analysis of volatile compounds in Xiangjiao baijiu from different storage containers and years based on HS-GC-IMS and DI-GC-MS.
| S-EPMC11617706 | biostudies-literature