VOC-Driven Plant Phenotyping

Project Overview

This project analyzes the emissions of volatile organic compounds (VOCs) from tomato plants of different genetic lines subjected to distinct treatments.

The study focuses on raw data acquired via Proton Transfer Reaction-Time of Flight Mass Spectrometry (PTR-ToF-MS). VOC data are stored in HDF5 (.h5) format, which contains mass spectrometry measurements reflecting the temporal dynamics of volatile emissions.

• Each .h5 file corresponds to a single plant.
• Sampling occurred at three different time points:
  • T1: September 2023
  • T2: October 2023
  • T3: November 2023

To analyze the data:

• Principal Component Analysis (PCA) was used for dimensionality reduction.
• Feature Importance analysis highlighted the key VOCs contributing to plant response differentiation.

The goal is to observe how plants respond to treatments, track VOC variation, and explore potential implications for plant-plant interaction.

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Data Availability

Note: The raw VOC data used in this project is private and not included in this repository.
It resides on a secure, personal Google Drive and is referenced in the analysis notebook using local paths such as:

root_paths = {
    "T1": "/content/drive/MyDrive/Progetto Plant Phenotyping/Tempo 1_ Mese Settembre 2023/VOC - Dati Raw",
    "T2": "/content/drive/MyDrive/Progetto Plant Phenotyping/Tempo 2_ Mese Ottobre 2023/VOC File Raw",
    "T3": "/content/drive/MyDrive/Progetto Plant Phenotyping/Tempo 3_ Mese Novembre 2023/VOC File Raw"
}

If you're interested in accessing the data for academic collaboration, please contact the project authors directly.

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License

This project is licensed under the MIT License. You are free to use, modify, and distribute this software with proper attribution.

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Authors

• Laraia Letizia
• Peluso Pietro
• Zippo Luigi Emanuele