scholarly journals Analysis of Volatile Components in Different Ophiocordyceps sinensis and Insect Host Products

Molecules ◽  
2020 ◽  
Vol 25 (7) ◽  
pp. 1603 ◽  
Author(s):  
Xuehong Qiu ◽  
Li Cao ◽  
Richou Han
Keyword(s):  
Volatile Compounds ◽  
Aromatic Hydrocarbons ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Volatile Components ◽  
Insect Host ◽  
Fruiting Bodies ◽  
Ophiocordyceps Sinensis ◽  
Flight Mass Spectrometry ◽  
Ideal Method

The artificial production of Ophiocordyceps sinensis mycelia and fruiting bodies and the Chinese cordyceps has been established. However, the volatile components from these O. sinensis products are not fully identified. An efficient, convenient, and widely used approach based on headspace solid-phase microextraction (HS-SPME) combined with comprehensive two-dimensional gas chromatography and quadrupole time-of-flight mass spectrometry (GC×GC-QTOFMS) was developed for the extraction and the analysis of volatile compounds from three categories of 16 products, including O. sinensis fungus, Thitarodes hosts of O. sinensis, and the Chinese cordyceps. A total of 120 volatile components including 36 alkanes, 25 terpenes, 17 aromatic hydrocarbons, 10 ketones, 5 olefines, 5 alcohols, 3 phenols, and 19 other compounds were identified. The contents of these components varied greatly among the products but alkanes, especially 2,5,6-trimethyldecane, 2,3-dimethylundecane and 2,2,4,4-tetramethyloctane, are the dominant compounds in general. Three categories of volatile compounds were confirmed by partial least squares-discriminant analysis (PLS-DA). This study provided an ideal method for characterizing and distinguishing different O. sinensis and insect hosts-based products.

scholarly journals Analysis of the Volatile Components of Pouteria sapota (Sapote Mamey) Fruit by HS-SPME-GC-MS

2018 ◽  
Vol 13 (8) ◽  
pp. 1934578X1801300 ◽  
Author(s):  
Candelario Rodríguez ◽  
Armando A. Durant-Archibold ◽  
Ana Santana ◽  
Enrique Murillo ◽  
Carlos M. Franco Abuín
Keyword(s):  
Aromatic Hydrocarbons ◽  
Solid Phase Microextraction ◽  
Extraction Efficiency ◽  
Solid Phase ◽  
Volatile Components ◽  
Spme Fiber ◽  
Volatile Organic ◽  
Doehlert Experimental Design ◽  
First Time ◽  
Fiber Coatings

The comparison of SPME fiber coatings, and optimization of temperature and time of extraction for headspace solid phase microextraction (HS-SPME) of volatile organic compounds (VOCs) present in Pouteria sapota (sapote mamey) fruits is presented. The PDMS/DVB coating afforded the highest extraction efficiency. The extraction conditions were optimized by using Doehlert experimental design. By using the optimized HS-SPME method, 21 VOCs were identified, which include mainly terpenoids and esters, followed by aromatic hydrocarbons, aldehydes, alcohols and ketones. The most abundant compounds in Pouteria sapota pulp were cedrol (25.0%), azulene (7.3%), β-ionone (5.7%) naphthalene (5.6%), α-pinene (5.0%), and benzaldehyde (4.3%). Seventeen VOCs were identified for the first time in the fruit.

scholarly journals Analysis of Volatile Constituents in Platostoma palustre (Blume) Using Headspace Solid-Phase Microextraction and Simultaneous Distillation-Extraction

Foods ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 415 ◽  
Author(s):  
Kung ◽  
Chen ◽  
Chao ◽  
Wu ◽  
Lin ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Volatile Compounds ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Headspace Analysis ◽  
Extraction Methods ◽  
Gas Chromatography Mass Spectrometry ◽  
Volatile Components ◽  
Headspace Solid Phase Microextraction ◽  
Simultaneous Distillation Extraction

Hsian-tsao (Platostoma palustre Blume) is a traditional Taiwanese food. It is admired by many consumers, especially in summer, because of its aroma and taste. This study reports the analysis of the volatile components present in eight varieties of Hsian-tsao using headspace solid-phase microextraction (HS-SPME) and simultaneous distillation-extraction (SDE) coupled with gas chromatography (GC) and gas chromatography-mass spectrometry (GC/MS). HS-SPME is a non-heating method, and the results show relatively true values of the samples during flavor isolation. However, it is a kind of headspace analysis that has the disadvantage of a lower detection ability to relatively higher molecular weight compounds; also, the data are not quantitative, but instead are used for comparison. The SDE method uses distillation 2 h for flavor isolation; therefore, it quantitatively identifies more volatile compounds in the samples while the samples withstand heating. Both methods were used in this study to investigate information about the samples. The results showed that Nongshi No. 1 had the highest total quantity of volatile components using HS-SPME, whereas SDE indicated that Taoyuan Mesona 1301 (TYM1301) had the highest volatile concentration. Using the two extraction methods, 120 volatile components were identified. Fifty-six volatile components were identified using HS-SPME, and the main volatile compounds were α-pinene, β-pinene, and limonene. A total of 108 volatile components were identified using SDE, and the main volatile compounds were α-bisabolol, β-caryophyllene, and caryophyllene oxide. Compared with SDE, HS-SPME sampling extracted a significantly higher amount of monoterpenes and had a poorer detection of less volatile compounds, such as sesquiterpenes, terpene alcohols, and terpene oxide.

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 Volatile Compounds in Pears by HS-SPME-GC×GC-TOFMS

Molecules ◽  
2019 ◽  
Vol 24 (9) ◽  
pp. 1795 ◽  
Author(s):  
Chenchen Wang ◽  
Wenjun Zhang ◽  
Huidong Li ◽  
Jiangsheng Mao ◽  
Changying Guo ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Volatile Compounds ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Relative Concentration ◽  
Practical Method ◽  
Accurate Method ◽  
Two Dimensional ◽  
Flight Mass Spectrometry ◽  
Aroma Components

Aroma plays an important role in fruit quality and varies among different fruit cultivars. In this study, a sensitive and accurate method based on headspace solid-phase microextraction (HS-SPME) coupled with comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC-TOFMS) was developed to comprehensively compare aroma components of five pear cultivars. In total, 241 volatile compounds were identified and the predominant volatile compounds were esters (101 compounds), followed by alcohols (20 compounds) and aldehydes (28 compounds). The longyuanyangli has the highest relative concentration (838.12 ng/g), while the Packham has the lowest (208.45 ng/g). This study provides a practical method for pear aroma analysis using SPME and GC×GC-TOFMS.

scholarly journals Identification of Volatile Compounds from a Brewery with SPME Technique

2016 ◽  
Vol 21 (1-2) ◽  
pp. 97-106 ◽  
Author(s):  
Adam Piotrowicz
Keyword(s):  
Volatile Compounds ◽  
Thermal Desorption ◽  
Aromatic Hydrocarbons ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Industrial Process ◽  
Process Efficiency ◽  
Gas Chromatograph ◽  
Production Processes ◽  
Derivatives Of

AbstractThe paper presents results of the analysis of the volatile compounds arising from the production processes in a brewery. The investigated material comprised the unhoped brewer’s wort which was taken from the fermentation tanks during the industrial process. The identification of volatile compounds was conducted with the use of Solid-Phase MicroExtraction (SPME) technique by extracting the compounds from the headspace of the brewer’s wort (HS-SPME). The procedure was optimized by modifying the parameters potentially influencing the process efficiency. The analytes adsorbed on the fibers were subsequently placed in the injector of a gas chromatograph, where they were released in the course of thermal desorption. Three types of fibers were chosen for the experiments: 65 μm PDMS/DVB, 50/30 μm DVB/CAR/PDMS and 100 μm PDMS. The greatest number of peaks corresponding to compounds found in the examined material was observed on the 50/30 μm DVB/CAR/PDMS fiber while the lowest was identified on the 100 μm PDMS fiber. The detected compounds are mainly the derivatives of aliphatic, alicyclic and aromatic hydrocarbons with different functional groups e.g. carbonyl, aldehyde or ester and possessing O-heteroatom in their structure.

Sign in / Sign up

Export Citation Format

Share Document