Metabolomics Creative Proteomics

Plant Targeted Metabolomics Service

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What is Plant Targeted Metabolomics?

Metabolomics is a comprehensive, unbiased, high-throughput scientific study and analysis of complex metabolite mixtures typical of plant extracts. The general analysis of metabolic composition requires multiple steps: sample extraction, metabolite isolation/assay/identification, automated data collection/processing/analysis and quantification.

Plant metabolomics enables the establishment of plant metabolic networks and the measurement of their responses to environmental and genetic changes, and also contributes insights into plant phenotypes to development, physiology, tissue properties, resistance, biodiversity, etc.

Targeted metabolomics provides a high-resolution tool for the identification and quantitative analysis of targeted metabolites in plants. It has the advantage of high specificity and accuracy and has been widely used to analyze and compare targeted metabolic compounds across different physiological states or developmental stages. Creative Proteomics offers a wide range of plant targeted metabolomics services covering hundreds of plant metabolites including phytohormones, carotenoids, chlorophylls, lectins, toxins and more.

The chemical composition in plants is complex, with a wide range of structures and diverse biological activities, such as nucleic acids, proteins, glycans, alkaloids, terpenoids, sterols, etc. Based on LC-MS/MS technology, phytochemical analysis can also be realized to provide technical support to solve the analysis in pharmacology (e.g. in vivo metabolic process analysis of drugs), environmental science (e.g. organic pollutant detection), food science (e.g. monitoring of various additives), agronomy (e.g. pesticide residue control, soil organic matter testing, hormone analysis), etc.

Advantages of Our Plant Targeted Metabolomics Service

Rich experience in plant sample handling and metabolite extraction.

Cutting edge MS platforms: LC-MS, GC-MS; MRM method

Quantitative analysis of targeted plant metabolites

Professional statistical analysis and bioinformatics analysis

Service Workflow of Plant Targeted Metabolomics

The plant targeted metabolomics service provided by Creative Proteomics is based on our cutting-edge chromatographic separation and mass spectrometry platforms. This diagram demonstrates the rough steps in plant targeted metabolomics studies. Our service will be tailored to specific samples and needs for optimal results.

Plant Targeted Metabolomics Service

List of Plant Targeted Metabolites Analysis Services

Sample Requirements of Plant Targeted Metabolomics

Sample TypeSample QuantityCollection Method
Whole Plant Tissue100-200 mgHarvest entire plants
Mature Leaves50-100 mgCollect fully expanded leaves
Young Leaves50-100 mgHarvest developing leaves
Roots20-50 mgCollect from root systems
Seeds10-20 mgHarvest mature seeds
Flowers50-100 mgCollect open flowers
Plant Extracts (e.g., methanol extracts)100-200 µLPrepared extracts
Stem Tissue50-100 mgHarvest stems
Fruits50-100 mgHarvest mature fruits
Rhizomes20-50 mgCollect rhizomes
Phloem Sap50-100 µLExtract from vascular tissue
Nectar50-100 µLCollect from flowers
Pollen10-20 mgCollect from anthers
Epidermal Peels10-20 mgPeel from leaf surfaces
Bark50-100 mgCollect from tree trunks

Deliverables for Plant Targeted Metabolomics Service

Raw Data Files: Provide raw data files generated from the metabolomics analysis, including spectral data and peak intensities.

Processed Data: Supply processed data sets with identified metabolites, their concentrations, and relevant statistical analyses.

Metabolite Identification Report: Furnish a comprehensive report listing identified metabolites along with their chemical structures, retention times, and mass spectral data.

Metabolic Pathway Analysis: Offer an in-depth analysis of metabolic pathways impacted by the identified metabolites, helping to understand the plant's biochemical networks.

Statistical Analysis Report: Include a statistical analysis report detailing any significant differences or trends observed in metabolite concentrations between samples or experimental conditions.

Visualizations and Graphs: Provide visually intuitive graphs and charts to represent metabolomic data trends, aiding in the interpretation of complex results.

Quality Control Metrics: Supply quality control metrics to ensure the reliability of the data, including data reproducibility and consistency.

Secure Data Transfer: Ensure the secure transfer of data through encrypted channels to maintain the confidentiality and integrity of the client's information.

Creative Proteomics has extensive experience in plant sample processing, small molecule compound extraction and performing custom bioinformatics analyses. If you want to detect other substances or learn more, please contact us, we are happy to serve you.


  1. Majumdar, S., & Keller, A. A. (2021). Omics to address the opportunities and challenges of nanotechnology in agriculture. Critical Reviews in Environmental Science and Technology, 51(22), 2595-2636.

Case: Integrated Analysis of Phytohormones Reveals Dynamic Responses to Salinity Stress in Arabidopsis thaliana Seedlings


Understanding the molecular responses of plants to salinity stress is crucial for crop improvement. Phytohormones play a pivotal role in orchestrating these responses. This study aims to comprehensively analyze the dynamics of phytohormones in Arabidopsis thaliana seedlings under salinity stress.


Arabidopsis thaliana (Columbia-0 ecotype) seedlings were used for method validation and stress experiments. The study focused on shoots and roots harvested from plants subjected to either control conditions or 150 mM NaCl-induced salinity stress.

Technical Methods

Chemicals and Materials: Authentic standards and isotopically labeled counterparts were sourced from reputable suppliers. Chemicals, including formic acid, ACN, and MeOH, were procured from Merck.

Solubility Experiment: The solubility of selected BRs was investigated using different concentrations of aqueous ACN. UHPLC-ESI-MS/MS was employed for analysis, and relative yields were calculated.

Chlorophyll Extraction: Chlorophyll a and b were extracted using aqueous ACN at varying concentrations. Spectrophotometric measurements determined chlorophyll content.

Stability Experiment: Stability of analytes was examined under different conditions. Enzymatic activity in plant extracts was assessed using a proposed sample preparation protocol.

Sample Extraction and Purification: Plant material was extracted using ice-cold 50% aqueous ACN. Solid-phase extraction (SPE) with Oasis HLB RP cartridges facilitated purification.

UHPLC-ESI-MS/MS Conditions: Targeted compounds were analyzed using UHPLC coupled with a triple quadrupole mass spectrometer. Different elution conditions were applied for compounds detected in ESI(+) and ESI(-) modes.

Method Validation: Calibration curves, LOD, and LOQ were determined for UHPLC-ESI-MS/MS. Analyte losses during purification were evaluated, and method accuracy and precision were assessed.

Genevestigator Analysis: The Genevestigator tool was employed for meta-analytical assessment of gene expression under salt stress conditions, identifying salt stress as a significant modulator of hormone-related gene expression.


Phytohormone Profiling: Comprehensive quantification of phytohormones provided insights into their dynamics under salt stress, highlighting key regulatory pathways.

Solubility Patterns: Solubility experiments revealed the behavior of selected BRs under different solvent conditions, aiding in the understanding of their chemical properties.

Chlorophyll Content: Chlorophyll extraction and spectrophotometric analysis provided information on the physiological impact of salt stress on Arabidopsis seedlings.

Stability of Analytes: Stability experiments elucidated the robustness of the proposed sample preparation protocol, ensuring reliable quantification of phytohormones.

Gene Expression Patterns: Genevestigator analysis corroborated the impact of salt stress on the expression of genes related to hormone biosynthesis and metabolism, aligning with the observed changes in phytohormone levels.

Optimization of sample preparation.Optimization of sample preparation.

Optimization of baseline chromatographic separation.Optimization of baseline chromatographic separation.


  1. Šimura, Jan, et al. "Plant hormonomics: multiple phytohormone profiling by targeted metabolomics." Plant physiology 177.2 (2018): 476-489.
For Research Use Only. Not for use in diagnostic procedures.


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