Odour Profiling for Animal Management and Behavioural Manipulation: An Overview of the Tools and Applications

Abstract Olfaction plays a prominent role in the evolution of animal behaviour, facilitating both intraspecies and interspecies communication, and predator-prey interactions. Volatile organic compounds (VOCs) underpin these odours, and their analysis is therefore central to characterising and replicating cues such as pheromones, allelochemicals, and other released signals used to attract, deter, or condition animal responses. Thus, this review aims to introduce the reader to the applications of animal odours in animal management and behavioural control, and to provide a critical, practice-oriented guide to selecting and combining VOC sampling and analytical techniques for animal odour studies. Animal odour profiling typically involves three steps: (1) sampling, (2) transfer to the instrument, and (3) detection/identification of VOCs. Gas chromatography–mass spectrometry (GC–MS) is the gold standard for VOC analysis, and is often paired with headspace techniques, including static headspace, dynamic headspace, and solid-phase microextraction (SPME) to facilitate sampling and transfer of VOCs. In addition, liquid and distillation-based extraction methods are discussed, which remain important for capturing less volatile or matrix-bound components in animal odour and semiochemical research. On the analytical side we discuss GC–MS alongside emerging and complementary techniques, including proton transfer reaction–mass spectrometry (PTR–MS), selected ion flow tube–mass spectrometry (SIFT–MS), gas chromatography–olfactometry (GC–O), and electronic noses, emphasising their respective strengths and limitations for qualitative and quantitative VOC analysis. Collectively, the literature shows that no single sampling or analytical approach is universally optimal. Effective animal odour profiling therefore requires matching extraction and detection strategies to the volatility, stability, and behavioural relevance of target VOCs. Careful consideration should also be given to how these methodological choices influence the odour profiles used in ecological, behavioural, and applied management contexts.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Ecology
Published
2026-09-29
DOI
https://doi.org/10.1007/s10886-026-01770-y
Primary Topic
Odor and Emission Control Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Odour Profiling for Animal Management and Behavioural Manipulation: An Overview of the Tools and Applications

Todd A. Gillam, Adrian D. Manning, Anton Blencowe, Ashlyn Austin
Journal of Chemical Ecology
Odor and Emission Control Technologies
article

Odour Profiling for Animal Management and Behavioural Manipulation: An Overview of the Tools and Applications

Todd A. Gillam, Adrian D. Manning, Anton Blencowe, Ashlyn Austin
article en

Abstract

Abstract Olfaction plays a prominent role in the evolution of animal behaviour, facilitating both intraspecies and interspecies communication, and predator-prey interactions. Volatile organic compounds (VOCs) underpin these odours, and their analysis is therefore central to characterising and replicating cues such as pheromones, allelochemicals, and other released signals used to attract, deter, or condition animal responses. Thus, this review aims to introduce the reader to the applications of animal odours in animal management and behavioural control, and to provide a critical, practice-oriented guide to selecting and combining VOC sampling and analytical techniques for animal odour studies. Animal odour profiling typically involves three steps: (1) sampling, (2) transfer to the instrument, and (3) detection/identification of VOCs. Gas chromatography–mass spectrometry (GC–MS) is the gold standard for VOC analysis, and is often paired with headspace techniques, including static headspace, dynamic headspace, and solid-phase microextraction (SPME) to facilitate sampling and transfer of VOCs. In addition, liquid and distillation-based extraction methods are discussed, which remain important for capturing less volatile or matrix-bound components in animal odour and semiochemical research. On the analytical side we discuss GC–MS alongside emerging and complementary techniques, including proton transfer reaction–mass spectrometry (PTR–MS), selected ion flow tube–mass spectrometry (SIFT–MS), gas chromatography–olfactometry (GC–O), and electronic noses, emphasising their respective strengths and limitations for qualitative and quantitative VOC analysis. Collectively, the literature shows that no single sampling or analytical approach is universally optimal. Effective animal odour profiling therefore requires matching extraction and detection strategies to the volatility, stability, and behavioural relevance of target VOCs. Careful consideration should also be given to how these methodological choices influence the odour profiles used in ecological, behavioural, and applied management contexts.

Journal of Chemical EcologyVol. 52(5)
Australian National University (AU), Murdoch University (AU), The University of Adelaide (AU)
Openalex Percentile: Top 27%
Odor and Emission Control Technologies
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.