Identification of volatile components in Angelica species using supercritical-CO2 fluid extraction and solid phase microextraction coupled to gas chromatography-mass spectrometry

2006 ◽  
Vol 20 (11) ◽  
pp. 1267-1273 ◽  
Author(s):  
Mi Ra Kim ◽  
A. M. Abd El-Aty ◽  
Jeong-Heui Choi ◽  
Kang Bong Lee ◽  
Jae Han Shim
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Supercritical Co2 ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Fluid Extraction ◽  
Supercritical Co2 Fluid ◽  
Supercritical Co2 Fluid Extraction

scholarly journals Volatile Profiles of Five Variants of Abeliophyllum distichum Flowers Using Headspace Solid-Phase Microextraction Gas Chromatography–Mass Spectrometry (HS-SPME-GC-MS) Analysis

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 224
Author(s):  
Yeong-Geun Lee ◽  
Won-Sil Choi ◽  
Seung-Ok Yang ◽  
Jeon Hwang-Bo ◽  
Hyoun-Geun Kim ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Morphological Characteristics ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Headspace Solid Phase Microextraction ◽  
Chromatography Mass Spectrometry ◽  
Abeliophyllum Distichum

Abeliophyllum distichum (Oleaceae), which is the only species in the monotypic genus and is grown only on the Korean peninsula, has a high scarcity value. Its five variants (white, pink, round, blue, and ivory) have different morphological characteristics in terms of the color of petals and sepals or shape of the fruits. Despite its high value, there has been no study on variant classification except in terms of their morphological characteristics. Thus, we performed a volatile component analysis of A. distichum flowers and multivariate data analyses to reveal the relationship between fragments emitted from five variants of A. distichum flowers with their morphological characteristics. As a result, 66 volatile components of this plant were identified by headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC-MS), showing unique patterns for each set of morphological characteristics, especially the color of the petals. These results suggest that morphological characteristics of each variant are related to the volatile composition.

scholarly journals Volatile Components of Heartwood, Sapwood, and Resin From a Dated Cedrus brevifolia

2019 ◽  
Vol 14 (6) ◽  
pp. 1934578X1985912
Author(s):  
Andreas Douros ◽  
Anastasia Christopoulou ◽  
Stefanos Kikionis ◽  
Konstantinos Nikolaou ◽  
Helen Skaltsa
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Mass Spectrometry Analysis ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Headspace Solid Phase Microextraction ◽  
Spectrometry Analysis ◽  
Chromatography Mass Spectrometry

In the present study, the heartwood and the sapwood of a thick wood disc from a dated Cedrus brevifolia trunk, and the resin were analyzed for their volatile components. All samples were subjected to headspace solid-phase microextraction followed by gas chromatography mass spectrometry analysis. The main constituents were β-himachalene (22.2 %) in heartwood and (25.0 %) in sapwood, and α-pinene (37.8 %) in resin.

scholarly journals An Analysis of Volatile Components of the Liverworts Dumortiera hirsuta subsp. hirsuta and Dumortiera hirsuta subsp. nepalensis (Dumortieraceae) from Panama and Taxonomic Observations on the Species

2018 ◽  
Vol 13 (8) ◽  
pp. 1934578X1801300 ◽  
Author(s):  
Armando A. Durant-Archibold ◽  
Noris Salazar Allen ◽  
Anette Garrido ◽  
Jose Gudiño Ledezma ◽  
Mahabir P. Gupta
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Chemical Composition ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Chemical Markers ◽  
Headspace Solid Phase Microextraction ◽  
First Time

We report for the first time the chemical composition of volatile components (VOCs) of two subspecies, D. hirsuta subsp. hirsuta and D. hirsuta subsp. nepalensis, of the liverwort Dumortiera hirsuta from Panama by using headspace-solid phase microextraction-gas chromatography-mass spectrometry in order to assess distinguishing markers between the two species. Forty VOCs were identified in total for both subspecies. Of these, 34 are reported for the first time in D. hirsuta. Furthermore, both subspecies showed clear differences in the type and amount of VOCs. The major compounds in D. hirsuta subsp. hirsuta were α-gurjunene, β-selinene, α-guaiene, α-humulene and β-caryophyllene; while in D. hirsuta subsp. nepalensis were ledene, α-gurjunene, β-caryophyllene and α-guaiene, respectively. Two oxygenated sesquiterpenes, globulol and nerolidol, could be considered as possible distinguishing chemical markers between these two subspecies. We conclude that both morphotypes of D. hirsuta are chemically different.

Optimization of Solid Phase Microextraction (SPME) Coupled with Gas Chromatography Mass Spectrometry (GC-MS) for Fermented Perilla Leaves Jiaosu and Volatile Profiling Analysis During Fermentation

2020 ◽  
Vol 14 (3) ◽  
pp. 359-368
Author(s):  
Ruyi Sha ◽  
Haoan Fan ◽  
Zhenzhen Wang ◽  
Gaojian Wang ◽  
Yanli Cui ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Volatile Compounds ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Extraction Temperature ◽  
Spontaneous Fermentation ◽  
Chromatography Mass Spectrometry

A method based on solid phase microextraction coupled with gas chromatography mass spectrometry was developed for volatile profiling fermented perilla leaves jiaosu (PFJ) during fermentation. Five fibers were firstly evaluated by the total peak areas and the number of volatile compounds. Secondly, a Plackett-Burman design was applied to screen for seven independent variables selected in literature. Three significant variables (extraction time, extraction temperature and equilibrium time) were therefore selected for the following optimization studies. A Box-Behnken design combined with a steepest ascent was then used to optimize the significant factors. Under optimal conditions, the changes of volatile profiles of PFJ at 7, 14, 21, 28, 91 and 140 d were analyzed. A total of fifty-one volatile compounds were identified, and alcohols (68.12–78.94%) were the main volatile components in PFJ, followed by methoxy-phenolic compounds (4.67–5.48%). Perilla alcohol and trans-Shisool were the major constituents during spontaneous fermentation, which accounted for 16.14–30.66% and 19.95–24.52%, respectively. The results showed that PFJ fermented into a health probiotic product with characteristic flavour and functional volatile compounds.

scholarly journals Analysis of the Volatile Components in Selaginella doederleinii by Headspace Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry

Molecules ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 115 ◽  
Author(s):  
Xian-kui Ma ◽  
Xiao-fei Li ◽  
Jian-yong Zhang ◽  
Jie Lei ◽  
Wei-wei Li ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Chemical Constituents ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Extraction Temperature ◽  
Headspace Solid Phase Microextraction ◽  
Chromatography Mass Spectrometry

Selaginella doederleinii (SD) is a perennial medicinal herb widely distributed in China. In this study, the volatile components of SD from two regions (24 batches), namely Zhejiang and Guizhou, were determined by combining headspace solid phase microextraction and gas chromatography-mass spectrometry (HS-SPME/GC-MS). After investigating different influence factors, the optimal conditions for extraction were as follows: The sample amount of 1 g, the polydimethylsiloxane-divinylbenzene (PDMS-DVB) fiber of 65 µm, the extraction time of 20 min, and the extraction temperature of 100 °C. Based on the above optimum conditions, 58 volatiles compounds, including 20 terpenes, 11 alkanes, 3 alcohols, 6 ketones, 3 esters, 11 aldehydes, 1 ether, 1 aromatic, 1 phenol, and 1 furan, were found and identified in SD. Furthermore, hierarchical cluster analysis and principal component analysis were successfully applied to distinguish the chemical constituents of SD from two regions. Additionally, anethol, zingerone, 2,4-di-tert-butylphenol, ledene, hexyl hexanoate, α-cadinol, phytone, hinesol, decanal, octadecene, cedren, 7-tetradecene, copaene, β-humulene, 2-butyl-2-octenal, tetradecane, cedrol, calacorene, 6-dodecanone, β-caryophyllene, 4-oxoisophorone, γ-nonanolactone, 2-pentylfuran, 1,2-epoxyhexadecane, carvacrol, n-pentadecane, diisobutyl phthalate, farnesene, n-heptadecane, linalool, 1-octen-3-ol, phytane, and β-asarone were selected as the potential markers for discriminating SD from 24 habitats in Zhejiang and Guizhou by partial least squares discrimination analysis (PLS-DA). This study revealed the differences in the components of SD from different regions, which could provide a reference for the future quality evaluation.

scholarly journals Volatile Constituents of Murraya koenigii Fresh Leaves Using Headspace Solid Phase Microextraction – Gas Chromatography – Mass Spectrometry

2014 ◽  
Vol 9 (12) ◽  
pp. 1934578X1400901 ◽  
Author(s):  
Sayamol Sukkaew ◽  
Patcharee Pripdeevech ◽  
Chalermporn Thongpoon ◽  
Theeraphan Machan ◽  
Rattana Wongchuphan
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Murraya Koenigii ◽  
Volatile Constituents ◽  
Headspace Solid Phase Microextraction ◽  
Chromatography Mass Spectrometry

The volatile components of Murraya koenigii fresh leaves, collected from Surat Thani province, Thailand were studied by using headspace (HS) solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS). The four fibers employed to extract the volatiles were polydimethylsiloxane (PDMS), polydimethylsiloxane-divinylbenzene (PDMS-DVB), carboxane-polydimethylsiloxane (CAR-PDMS) and polydimethylsiloxane-divinylbenzene-carboxane (PDMS-DVB-CAR). The volatile constituents of M. koenigii fresh leaves were also extracted by hydrodistillation and analyzed by GC-MS. Fifty-one compounds were identified by these fibers. Five major compounds, γ–terpinene, β-caryophyllene, β-phellandrene, α-selinene and α-pinene, were detected in all fibers. The PDMS-DVB-CAR fiber was considered as the best for trapping key volatiles of M. koenigii fresh leaves.

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