Microorganisms Lipidomics for Fermentation Conditions Optimization
In agricultural production, there has been an increasing number of studies on the use of beneficial microorganisms for fermentation and the collection of bacteriophages or related metabolites for yield increase and disease prevention. The most extensive research is focused on how to optimize the fermentation process and increase the fermentation-related products of different microorganisms. Different microorganisms require different fermentation conditions due to their own strain characteristics to facilitate the production of beneficial fermentation products.
Creative Proteomics provides a full range of lipidomics services based on GC-MS and LC-MS platforms for fermentation condition optimization. In addition to lipid and metabolite profiling and lipid identification in fermentation media, we also provide data processing (e.g., data alignment, feature detection) and feature prioritization (e.g., principal component analysis, heat map, ANOVA/t test, multivariate statistical analysis, self-organizing plots, volcano plots, network activity prediction).
Strategies for Lipidomic Analysis of Fermentation Conditions Optimization
Creative Proteomics designs experimental programs according to customer needs and chooses different technical methods to improve detection efficiency and ensure the accuracy and repeatability of experimental results.
Based on LC-MS/MS technology to simultaneously analyze hundreds of different lipids in biological samples to obtain more information. Through bioinformatics data analysis, we can systematically elucidate the variation at the lipidome level and the regulatory mechanisms in the experimental group compared to the control group from a lipid perspective.
Targeting specific lipid molecules and their metabolites in samples. Based on high-resolution mass spectrometry and isotope internal standard, we use parallel reaction monitoring (PRM) targeted analysis technology, which can realize the specific acquisition of signals of multiple lipid molecules (such as dozens of target lipid molecules) at the same time, and obtain their absolute contents to meet the needs of targeted detection and verification of target lipids. Using Orbitrap mass analyzer and ultra-high resolution mass spectrometry, high quality data can be obtained. Sensitivity up to ppm level and linearity range up to 5-6 orders of magnitude.
Data Analysis
| Analysis Content | Specific Types |
|---|
| Lipid Identification | QC results
QC sample base peak chromatogram (BPC)
Overall sample principal component analysis (PCA
Lipid compound identification
Lipid subclass analysis |
| Significant Difference Lipid Analysis | Univariate statistical analysis: test analysis and/or ANOVA analysis
Multivariate statistical analyses: principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), cross partial least squares discriminant analysis (OPLS-DA) |
| Advanced Analysis | Differential metabolite clustering analysis
Differential metabolite correlation analysis
Biomarker evaluation - ROC curve |
If you have any questions about our microorganisms untargeted lipidomics services, welcome to contact us.
Reference:
- Henderson, C. M.; et al. Ethanol Production and Maximum Cell Growth Are Highly Correlated with Membrane Lipid Composition during Fermentation as Determined by Lipidomic Analysis of 22 Saccharomyces cerevisiae Strains. Applied and Environmental Microbiology. 2013, 79, 91.
* Our services can only be used for research purposes and Not for clinical use.
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