Miniaturized analytical method to evaluate the profile of biogenic volatile organic compounds from Spanish tree species by gas chromatography coupled to mass spectrometry and chemometric tools

• A HS-SPME-GC-QTOF-MS method was developed to evaluate BVOCs in tree leaves. • The SPME fiber type, sample quantity, and extraction/desorption time were optimized. • The developed method was green (environmentally friendly) and blue (practical). • Sesquiterpenoids, hydrocarbons, and alcohols were the predominant family compounds. • Chemometric tools were used to classify BVOCs (PCA and HCA). A novel miniaturized analytical method has been optimized to study the biogenic volatile organic compounds (BVOCs) profile from tree leaves using headspace solid-phase microextraction gas chromatography-quadrupole time-of-flight spectrometry (HS-SPME-GC-QTOF-MS). Several parameters were tested, and a 50/30 µm DVB/CAR/PDMS SPME fiber, 0.20 g of sample, extraction and desorption times of 45 and 3 mins, respectively, were selected as the optimal conditions. Subsequently, 42 samples from Ávila (Spain) were evaluated including conifers ( Pinus sylvestris and Juniperus oxycedrus ) and broadleaf species ( Quercus ilex and Quercus pyrenaica ). More than 100 different BVOCs were tentatively identified with a matching degree >85 % in the NIST library. Total compounds were categorized into 12 main groups, where sesquiterpenoids, hydrocarbons, and alcohols were the dominant family groups. Moreover, a variety of chemometric tools were applied to enable data differentiation and potential classification of samples. Principal component analysis revealed that the BVOCs produced by different tree species exhibit distinct profiles, forming three well-defined clusters, while hierarchical cluster analysis indicated that the composition is influenced by the season, and sampling height. Finally, the method was classified as environmentally friendly according to the green analytical metrics and evaluated as practical by the blue applicability grade index.

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Publication Details

Journal
Journal of Chromatography Open
Published
2025-02-18
DOI
https://doi.org/10.1016/j.jcoa.2025.100208
Citations
2
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
1.51
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article

Miniaturized analytical method to evaluate the profile of biogenic volatile organic compounds from Spanish tree species by gas chromatography coupled to mass spectrometry and chemometric tools

Silvia Valverde, Adrián Fuente-Ballesteros, Ana María Ares, José Bernal
2 citations
Journal of Chromatography Open
Analytical Chemistry and Chromatography
1.51
article

Miniaturized analytical method to evaluate the profile of biogenic volatile organic compounds from Spanish tree species by gas chromatography coupled to mass spectrometry and chemometric tools

Silvia Valverde, Adrián Fuente-Ballesteros, Ana María Ares, José Bernal
article en
2 citations

Abstract

• A HS-SPME-GC-QTOF-MS method was developed to evaluate BVOCs in tree leaves. • The SPME fiber type, sample quantity, and extraction/desorption time were optimized. • The developed method was green (environmentally friendly) and blue (practical). • Sesquiterpenoids, hydrocarbons, and alcohols were the predominant family compounds. • Chemometric tools were used to classify BVOCs (PCA and HCA). A novel miniaturized analytical method has been optimized to study the biogenic volatile organic compounds (BVOCs) profile from tree leaves using headspace solid-phase microextraction gas chromatography-quadrupole time-of-flight spectrometry (HS-SPME-GC-QTOF-MS). Several parameters were tested, and a 50/30 µm DVB/CAR/PDMS SPME fiber, 0.20 g of sample, extraction and desorption times of 45 and 3 mins, respectively, were selected as the optimal conditions. Subsequently, 42 samples from Ávila (Spain) were evaluated including conifers ( Pinus sylvestris and Juniperus oxycedrus ) and broadleaf species ( Quercus ilex and Quercus pyrenaica ). More than 100 different BVOCs were tentatively identified with a matching degree >85 % in the NIST library. Total compounds were categorized into 12 main groups, where sesquiterpenoids, hydrocarbons, and alcohols were the dominant family groups. Moreover, a variety of chemometric tools were applied to enable data differentiation and potential classification of samples. Principal component analysis revealed that the BVOCs produced by different tree species exhibit distinct profiles, forming three well-defined clusters, while hierarchical cluster analysis indicated that the composition is influenced by the season, and sampling height. Finally, the method was classified as environmentally friendly according to the green analytical metrics and evaluated as practical by the blue applicability grade index.

Journal of Chromatography OpenVol. 7
Universidad de Valladolid (ES)
Openalex Percentile: Top 21%
Analytical Chemistry and Chromatography
1.51
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