Metabolomics Creative Proteomics

Creative Proteomics Metabolomics

Chlorophyll f Analysis Service

Chlorophyll f Analysis Service

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About chlorophyll f

Chlorophyll f was accidentally extracted by researchers from a cyanobacteria colony in Shark Bay, Western Australia, and named it chlorophyll f. Its discoverer is the School of Life Sciences, University of Sydney, Australia.

Chlorophyll f can absorb low-energy light waves-red light to infrared light (infrared light has a wavelength of 0.78 to 1000 microns, divided into near-infrared and mid-infrared), and even low-frequency light waves of 720 nanometers. Therefore, it becomes the "reddest" chlorophyll found so far.

Molecular structure of chlorophyll fMolecular structure of chlorophyll f

Targeted metabolomics is mainly used to identify and quantitatively analyze specific metabolites in samples, this method has been widely used to analyze and compare multiple target metabolites in different physiological states. It is a key analysis method for researches on green plants to improve nutrition and so on. Based on the LC-MS/MS platform, Creative Proteomics use analytical standard detection methods to perform accurate qualitative and quantitative analysis on the pre-screened and validated or identified potential biomarkers (chlorophyll f).

Sample requirements


  Fresh algae ≥ 300mg

  Algae freeze-dried powder ≥ 30mg

  And need more than 6 biological replicates

Plant tissue

  Plant samples need to be freeze dried, fresh plant samples need more than 3g. And it is necessary to mix the tissues from 3 plants together as a sample. And need more than 6 biological replicates.

※All samples should be stored at -80°, transported on dry ice, and cannot be repeatedly frozen and thawed.

Workflow of targeted metabolomics of chlorophyll f

Molecular structure of chlorophyll f

Design experiments and sample processing

Standard preparation and mass spectrometry detection

Make standard curve

Extraction of metabolites in samples

Raw data preprocessing

Qualitative and quantitative target metabolites

Bioinformatics analysis (PCA analysis, cluster analysis, difference analysis, etc.)

Analysis of differences between different groups

Extended analysis, such as metabolite screening, KEGG pathway analysis and hierarchical clustering

Provided by Creative Proteomics

After the project is completed, Creative Proteomics will provide detailed technical reports, including

  Experimental steps

  Related mass spectrometry parameters

  Mass spectrum picture

  Raw data

  Chlorophyll f content information

Project cycle

About 1-3 weeks

Technical advantages

Qualitatively accurate

  Check the secondary spectra of sample materials and of standard products one by one.

Quantitatively accurate

  Choose the best ion pair to ensure accurate quantification of the substance.

High sensitivity

  Based on advanced mass spectrometry platform to ensure high sensitivity.

Targeted metabolomics based on mass spectrometry can more sensitively and more accurately quantify target metabolites. With decades of experience in mass spectrometry services, Creative Proteomics undertakes the qualitative and quantitative analysis of a variety of plant metabolites, provides accurate and detailed data and analysis reports. From sample extraction and detection to bioinformatics, Creative Proteomics can meet your special needs, and has a good record. If you want to know more, please contact us immediately.


  1. Weihan Song, Qixian Hao, Mengying, et al. Rice OsBT1 regulates seed dormancy through the glycometabolism pathway[J]. Plant Physiology and Biochemistry,2020,151.
  2. Jin D, Dai K, Xie Z, et al. Secondary Metabolites Profiled in Cannabis Inflorescences, Leaves, Stem Barks, and Roots for Medicinal Purposes[J]. Scientific Reports, 2020, 10(1).
  3. Yu C, Zhao X, Qi G, et al. Integrated analysis of transcriptome and metabolites reveals an essential role of metabolic flux in starch accumulation under nitrogen starvation in duckweed[J]. Biotechnology for Biofuels, 2017, 10(1).
For Research Use Only. Not for use in diagnostic procedures.
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