Detection of volatile organic compounds from wood-based panels by gas chromatography-field asymmetric ion mobility spectrometry (GC-FAIMS)

Schumann, A.; Lenth, Christoph; Hasener, Jörg; Steckel, Vera

doi:10.1007/s12127-012-0103-3

Cited by 22 publications

(10 citation statements)

References 25 publications

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“…069; 93.070; 153.127; 137.132; 205.195) was higher in softwoods (Cedrus, Pinus, and Cupressus) in comparison with most hardwood species (Fig. 3), with terpene compounds being the essential part of the resin composition in many softwood species (Risholm-Sundman et al 1998, Baumann et al 1999, Schumann et al 2012, Roffael et al 2015. The only exception was represented by Bay laurel (Laurus nobilis) that showed similar peak intensities for the masses regarding terpenes, due to the richness of such compounds in this species (e.g., oxygenated monoterpenes and monoterpene hydrocarbons - Flamini et al 2007).…”

Section: Resultsmentioning

confidence: 94%

“…VOCs from wood can originate either from compounds present in the native structure of wood, or through different chemical processes, such as oxidation and hydrolysis, that involve wood components (Roffael et al 2015). In general, the most common VOCs emitted from wood are terpenes, aliphatic aldehydes, and organic acids (Schumann et al 2012). Terpenes are the main constituent of the resin of softwoods, and aldehydes are formed by oxidative decay of fatty acids.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of VOC emission profile of different wood species during moisture cycles

Sassoli¹,

Taiti²,

Nissim³

et al. 2017

iForest

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This study addresses the characterization of volatile organic compounds (VOCs) emitted by samples of 13 different wood species, belonging to both softwoods and hardwoods groups, regularly measured at different intervals of time, after the first measurement on green wood. The same wood specimens were subjected to several cycles of water desorption and adsorption, assuming that moisture variation might play a role in both the formation and emission of VOCs. Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-TOF-MS) was used as a tool to characterize the emission of VOCs. Coupled with a multivariate class-modelling approach, this tool was able to discriminate between groups (softwood and hardwood) and in some cases between different species. However, results showed that the discriminant capacity of VOCs emission to separate species and families rapidly decreases after the first cycles of moisture variation in wood. The green wood was characterized by a richness of volatile compounds, whereas, after only the first dry cycle, wood emitted a more restricted group of compounds. We hypothesized that most of these VOCs might have originated from structural changes and degradation processes that involve the main polymers (particularly hemicellulose) constituting the cell wall of wooden cells. The results obtained are in agreement with the physical and chemical modification processes that characterize wood ageing.

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Section: Resultsmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Characterization of VOC emission profile of different wood species during moisture cycles

Sassoli¹,

Taiti²,

Nissim³

et al. 2017

iForest

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“…13 Furthermore, the quantitative analysis of formaldehyde onto a variety of wood species used in fresh plywood was emphasized in the current study instead of the qualitative analysis. Moreover, the derivatization-extraction were facilitated by full automation hence, more promising results were expected.…”

Section: -12mentioning

confidence: 99%

Integration of Headspace Solid Phase Micro-Extraction with Gas Chromatography for Quantitative Analysis of Formaldehyde

Lo¹,

Yung

2013

Bulletin of the Korean Chemical Society

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A study was carried out to evaluate the solid phase micro-extraction (SPME) for formaldehyde emission analysis of uncoated plywood. In SPME, formaldehyde was on-fiber derivatized through headspace extraction and analyzed by gas chromatography coupled with mass spectrometry (GC/MS). The SPME was compared with desiccators (DC-JAS 233), small-scale chamber (SSC-ASTM D6007) and liquid-liquid extraction (LLE-EPA 556) methods which were performed in accordance with their respective standards. Compared to SSC (RSD 4.3%) and LLE (RSD 5.0%), the SPME method showed better repeatability (RSD 1.8%) and not much difference from DC (RSD 1.4%). The SPME has proven to be highly precise (at 95% confidence level) with better recovery (REC 102%). Validation of the SPME method for formaldehyde quantitative analysis was evidenced. In addition, the SPME by air sampling directly from plywood specimens (SPME-W) correlated best with DC (r 2 = 0.983), followed by LLE (r 2 = 0.950) and SSC (r 2 = 0.935).

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“…Hardly any data exists concerning the concentrations of formaldehyde within the context of production monitoring, although powerful online methods have been available for some time [95]. Approaches have, however, been established with a coupling of solidphase microextraction, gas chromatography and asymmetric ion mobility spectrometry (SMPE-GC-FAIMS) [96,97].…”

Section: Emission Of Adhesives During Productionmentioning

confidence: 99%

Wood-Based Materials

Kasal

Friebel

Gunschera

et al. 2015

Ullmann's Encyclopedia of Industrial Chemistry

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Detection of volatile organic compounds from wood-based panels by gas chromatography-field asymmetric ion mobility spectrometry (GC-FAIMS)

Cited by 22 publications

References 25 publications

Characterization of VOC emission profile of different wood species during moisture cycles

Characterization of VOC emission profile of different wood species during moisture cycles

Integration of Headspace Solid Phase Micro-Extraction with Gas Chromatography for Quantitative Analysis of Formaldehyde

Wood-Based Materials

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