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Volatile Metabolite Analysis
More than 100,000 low-molecular-weight secondary metabolites are known to be synthesized and released by plants, and a large proportion of them are volatile. These substances play an important role as a chemical signal for behavioral cues among plants and between plants and insects. Moreover, plant volatiles have an important impact on plant growth and development as a cellular regulatory signal. Biogenic volatile organic compounds (BVOC) are classified into terpenes, alkanes, alkenes, alcohols, esters, carbonyl, and carboxyl groups in terms of chemical structure.
Figure 1. Biosynthetic relationships between antimicrobial plant natural products. (Benjamin R. L., 2021)
What We Offer
Lifeasible established volatile metabolome based on GC-MS platform, combined with NIST database, independently established MWGC database, which can detect more than 200,000 compounds at a time. And we can provide perfect metabolomics data analysis content subsequently.
- Data pre-processing. Data quality control, TIC/BPC plots, overall metabolite hierarchical clustering analysis and overall sample tree analysis, etc.
- Multivariate statistical analysis. PCA, PLS-DA, OPLS-DA analysis.
- Screening and annotation of differential metabolites.
- Statistical analysis. Box/bar charts, Z-score plots, hierarchical clustering analysis of differential metabolites, association heat map analysis, ROC curve analysis, etc.
- Advanced data analysis. Metabolic pathway analysis, differential metabolite association network analysis, etc.
We Do Better
For the GC-MS platform, Lifeasible also needs to use different detection methods according to different detection requirements. The whole set of methods includes sample preparation and the way of extracting substances in it, the temperature of the chromatographic gas chamber, the type and specification of the chromatographic column, chromatographic operation conditions, detection conditions, and modes at the mass spectrometry end, etc. Because of the low boiling point of volatile substances, we also use targeted methods to determine them, enriching the substances with low content first and then using GC-MS for detection.
Reference
- Dixon R., "Natural products and plant disease resistance." Nature, 2001, 411: 843-847.
The services provided by Lifeasible cover all aspects of plant research, please contact us to find out how we can help you achieve the next research breakthrough.
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