Application of artificial neural network on mono- and sesquiterpenes compounds determined by headspace solid-phase microextraction–gas chromatography–mass spectrometry for the Piedmont ricotta cheese traceability

2005 ◽  
Vol 1071 (1-2) ◽  
pp. 247-253 ◽  
Author(s):  
Zeppa Giuseppe ◽  
Giordano Manuela ◽  
Bertolino Marta ◽  
Gerbi Vincenzo
Keyword(s):  
Neural Network ◽  
Mass Spectrometry ◽  
Artificial Neural Network ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Gas Chromatography Mass Spectrometry ◽  
Headspace Solid Phase Microextraction ◽  
Chromatography Mass Spectrometry ◽  
Artificial Neural

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 Detection of prohibited treatment products on racing tires using headspace solid phase microextraction (SPME) and gas chromatography/mass spectrometry (GC/MS)

2016 ◽  
Vol 8 (1) ◽  
pp. 177-182 ◽  
Author(s):  
W. D. Kranz ◽  
C. J. Carroll ◽  
J. V. Goodpaster
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Gas Chromatography Mass Spectrometry ◽  
Headspace Solid Phase Microextraction ◽  
Chromatography Mass Spectrometry ◽  
Automobile Tires

A variety of commercial tire treatments are available that purport to help automobile tires better cling to the surface of a road or racetrack, raising concerns in the professional racing community that such products might be used to illicitly boost performance in competitive events.

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