GC-MS floral volatile analysis pipeline

Knowledge graph centered on GC-MS floral volatile analysis pipeline with 35 nodes and 117 connections. Top connected: Ipomopsis, Ligusticum porteri, I. aggregata, Atriplex canescens, Asteraceae.

Method synopsis

Comprehensive workflow from sample collection through statistical analysis for measuring plant volatile organic compounds using gas chromatography-mass spectrometry. Includes standardized data processing via the bouquet R package.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — An analytical pipeline to support robust research on the ecology, evolution, and function of floral volatiles (2022), Frontiers in Ecology and Evolution. Implementations in other papers (listed below) may differ.

1. Literature review data collection
   Systematically reviewed studies measuring floral volatiles published between 2005 and 2019, analyzing methodological approaches, data processing protocols, and reproducibility practices
   Quantities: 509 studies reviewedDuration: Studies spanning 15 years (2005-2019)Conditions: Published research in mainstream and specialized journals
   Equipment: literature databases
2. R package development
   Created the bouquet R package with functions for chromatogram to data table conversion, compound filtering, peak integration processing, and statistical preparation. Package includes default filtering settings and customizable workflows.
   Quantities: Multiple functions for data processing pipelineDuration: Package development processConditions: R programming environment
   Equipment: R software, GitHub repository

Typical Equipment

• GC-MS
• R software
• bouquet package

Output Measurements

• volatile compound identifications
• peak areas
• emission rates
• chemical diversity metrics

Papers Using This Protocol (1)

Species Studied With This Protocol