Digi-Nose Part 1: Characterization of volatile organic compounds (VOCs) emitted by European spruce trees under stress

In recent years, factors such as heat, drought, storms, and excessive rainfall, which can largely be attributed to man-made climate change, have weakened the European spruce population. Trees, especially during climate-related stress, communicate with each other by exchanging nutrients through their root system or by emitting volatile organic compounds (VOCs) via their needles, leaves, and bark. Some of these VOCs are attractive to pests, such as the bark beetle, as they indicate weakened defense mechanisms. Detection of these VOCs can be attained through gas chromatography-mass spectrometry analysis. Subsequently, a digital "nose" is planned to be developed, utilizing a combination of gas sensors, artificial intelligence, and image recognition to detect vulnerable trees early on. To achieve this, experimental trees were subjected to controlled conditions in a laboratory to simulate various stress situations, such as drought or waterlogging. Pre-filtered ambient air was drawn through ORBO32 sorbent tubes in the sampling set-up, eluted with petroleum ether, and then analyzed using gas chromatographymass spectrometry (GC-MS). Peak areas of volatile organic compounds were statistically evaluated and compared. The findings suggested that stressed spruce trees emitted higher quantities of volatile organic substances. Particularly noteworthy were alcohols, terpenes, alkanes and alkenes. This work is part of the development of a digital nose to detect tree stress funded by the Austrian Ministry for Agriculture, Forestry, Regions and Water Management.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-05
DOI
https://doi.org/10.5281/zenodo.13740801
Primary Topic
Advanced Image and Video Retrieval Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digi-Nose Part 1: Characterization of volatile organic compounds (VOCs) emitted by European spruce trees under stress

Zenodo (CERN European Organization for Nuclear Research)
Advanced Image and Video Retrieval Techniques
article

Digi-Nose Part 1: Characterization of volatile organic compounds (VOCs) emitted by European spruce trees under stress

article en

Abstract

In recent years, factors such as heat, drought, storms, and excessive rainfall, which can largely be attributed to man-made climate change, have weakened the European spruce population. Trees, especially during climate-related stress, communicate with each other by exchanging nutrients through their root system or by emitting volatile organic compounds (VOCs) via their needles, leaves, and bark. Some of these VOCs are attractive to pests, such as the bark beetle, as they indicate weakened defense mechanisms. Detection of these VOCs can be attained through gas chromatography-mass spectrometry analysis. Subsequently, a digital "nose" is planned to be developed, utilizing a combination of gas sensors, artificial intelligence, and image recognition to detect vulnerable trees early on. To achieve this, experimental trees were subjected to controlled conditions in a laboratory to simulate various stress situations, such as drought or waterlogging. Pre-filtered ambient air was drawn through ORBO32 sorbent tubes in the sampling set-up, eluted with petroleum ether, and then analyzed using gas chromatographymass spectrometry (GC-MS). Peak areas of volatile organic compounds were statistically evaluated and compared. The findings suggested that stressed spruce trees emitted higher quantities of volatile organic substances. Particularly noteworthy were alcohols, terpenes, alkanes and alkenes. This work is part of the development of a digital nose to detect tree stress funded by the Austrian Ministry for Agriculture, Forestry, Regions and Water Management.

Zenodo (CERN European Organization for Nuclear Research)
University of Applied Sciences Upper Austria (AT)
Openalex Percentile: Top 61%
Advanced Image and Video Retrieval Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digi-Nose Part 1: Characterization of volatile organic compounds (VOCs) emitted by European spruce trees under stress · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS