Sustainable Soil Volatilome: Discrimination of Land Uses Through GC-MS-Identified Volatile Organic Compounds DOI Creative Commons
Emoke Dalma Kovacs, Teodor Rusu,

Melinda Haydee Kovacs

et al.

Separations, Journal Year: 2025, Volume and Issue: 12(4), P. 92 - 92

Published: April 8, 2025

This study investigates soil volatilomics as an innovative approach to assessing the impact of land use on quality. research addresses critical need for sensitive diagnostic tools distinguish subtle biochemical variations in soils influenced by different management practices. Soil samples were collected along a transect Cluj County. Their volatile organic compounds extracted headspace solid-phase microextraction (HS–SPME) followed gas chromatography–mass spectrometry (GC–MS) analysis. A multivariate statistical method was used differentiate volatilome profile. Among 106 detected compounds, oxygenated species dominated across all uses, with highest concentrations forest (77%), grasslands (71%) and agricultural (65%). Principal component analysis revealed distinct clustering patterns, first two components explaining 72.8% total variance (PC1: 41.7%, PC2: 31.1%). Supervised PLS-DA modeling demonstrated robust discrimination, achieving AUC values 0.868 versus comparisons 0.810 both grassland comparisons. The diversity indicated that contained number (64), closely (63), while showed reduced (51). These key findings signatures, exhibiting complexity demonstrating more homogeneous profile, whereas presented high internal variability. results underscore potential profiling indicator effects processes support utility sustainable ecosystem monitoring.

Language: Английский

Sustainable Soil Volatilome: Discrimination of Land Uses Through GC-MS-Identified Volatile Organic Compounds DOI Creative Commons
Emoke Dalma Kovacs, Teodor Rusu,

Melinda Haydee Kovacs

et al.

Separations, Journal Year: 2025, Volume and Issue: 12(4), P. 92 - 92

Published: April 8, 2025

This study investigates soil volatilomics as an innovative approach to assessing the impact of land use on quality. research addresses critical need for sensitive diagnostic tools distinguish subtle biochemical variations in soils influenced by different management practices. Soil samples were collected along a transect Cluj County. Their volatile organic compounds extracted headspace solid-phase microextraction (HS–SPME) followed gas chromatography–mass spectrometry (GC–MS) analysis. A multivariate statistical method was used differentiate volatilome profile. Among 106 detected compounds, oxygenated species dominated across all uses, with highest concentrations forest (77%), grasslands (71%) and agricultural (65%). Principal component analysis revealed distinct clustering patterns, first two components explaining 72.8% total variance (PC1: 41.7%, PC2: 31.1%). Supervised PLS-DA modeling demonstrated robust discrimination, achieving AUC values 0.868 versus comparisons 0.810 both grassland comparisons. The diversity indicated that contained number (64), closely (63), while showed reduced (51). These key findings signatures, exhibiting complexity demonstrating more homogeneous profile, whereas presented high internal variability. results underscore potential profiling indicator effects processes support utility sustainable ecosystem monitoring.

Language: Английский

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