Determination of optimum conditions for the analysis of volatile components in pine needles by double-shot pyrolysis–gas chromatography–mass spectrometry

Lee, Jae-Gon; Lee, Changgook; Kwag, Jae-Jin; Buglass, Alan J.; Lee, Gae Ho

doi:10.1016/j.chroma.2005.06.060

Cited by 38 publications

(33 citation statements)

References 12 publications

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“…17), a TG-MS run with He:O 2 4:1 to observe the evolution of CO, CO 2 , CH 4 and H 2 O (Fig. 18), four isothermal runs in N 2 :O 2 4:1 atmosphere (Fig.…”

Section: Resultsmentioning

confidence: 99%

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Kinetics of pyrolysis and combustion of pine needles and cones

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Conesa

Moltó

et al. 2009

Journal of Analytical and Applied Pyrolysis

105

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“…17), a TG-MS run with He:O 2 4:1 to observe the evolution of CO, CO 2 , CH 4 and H 2 O (Fig. 18), four isothermal runs in N 2 :O 2 4:1 atmosphere (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Lee et al [4] determined the optimum conditions for the analysis of volatile component pine needles by double-shot pyrolysis-gas chromatography.…”

Section: Introductionmentioning

confidence: 99%

Kinetics of pyrolysis and combustion of pine needles and cones

Font

Conesa

Moltó

et al. 2009

Journal of Analytical and Applied Pyrolysis

105

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“…In most of these studies, simultaneous destillation-extraction (SDE) methods were used to isolate the volatile compounds from the complex matrices [8,9,13,20,23,24]. However, the presence of the extraction solvent that frequently coelutes, during the chromatographic run, with less retained peaks, is an important drawback of this technique [22]. Headspace solid-phase microextraction (HS-SPME) has the isolation capability of SDE while allowing for the isolation to be achieved without solvent intervention.…”

Section: Introductionmentioning

confidence: 99%

“…Most studies on conifer monoterpene emissions used samples from foliage [8,9,11,16,[18][19][20][21][22], cortex tissue [12], seeds [10], cones [11], or bark volatiles emissions after insect oviposition induction [14,15]. In most of these studies, simultaneous destillation-extraction (SDE) methods were used to isolate the volatile compounds from the complex matrices [8,9,13,20,23,24].…”

Section: Introductionmentioning

confidence: 99%

Characterization of the volatile fraction emitted by phloems of four pinus species by solid-phase microextraction and gas chromatography–mass spectrometry

Santos

Vasconcelos²,

Mateus

et al. 2006

Journal of Chromatography A

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Pine forests constitute some of the most important renewable resources supplying timber, paper and chemical industries, among other functions. Characterization of the volatiles emitted by different Pinus species has proven to be an important tool to decode the process of host tree selection by herbivore insects, some of which cause serious economic damage to pines. Variations in the relative composition of the bouquet of semiochemicals are responsible for the outcome of different biological processes, such as mate finding, egg-laying site recognition and host selection. The volatiles present in phloem samples of four pine species, P. halepensis, P. sylvestris, P. pinaster and P. pinea, were identified and characterized with the aim of finding possible host-plant attractants for native pests, such as the bark beetle Tomicus piniperda. The volatile compounds emitted by phloem samples of pines were extracted by headspace solid-phase micro extraction, using a 2 cm 50/30 mm divinylbenzene/carboxen/polydimethylsiloxane table flex solid-phase microextraction fiber and its contents analyzed by high-resolution gas chromatography, using flame ionization and a non polar and chiral column phases. The components of the volatile fraction emitted by the phloem samples were identified by mass spectrometry using time-of-flight and quadrupole mass analyzers. The estimated relative composition was used to perform a discriminant analysis among pine species, by means of cluster and principal component analysis. It can be concluded that it is possible to discriminate pine species based on the monoterpenes emissions of phloem samples.

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“…Follow this procedure by the number of daylights of a thermal decomposition. In this way, the Py-GC/MS will store a record of each peak of EGA that is attained [35][36][37].…”

Section: Double-shot Pyrolysismentioning

confidence: 99%