Amino Acids Analysis

v-innovate Technologies provides services to quickly and accurately identify a variety of amino acids in plant issues and systematically analyze the molecular mechanism, pharmacodynamics, and in vivo dynamics of amino acids. Our technology platform utilizes the latest analytical instruments, such as HPLC, LC-MS/MS, and automatic amino acid analyzer, to qualitatively and quantitatively analyze amino acids.

Overview

Amino acids are biologically important organic compounds, consisting of amino (-NH2) and carboxyl (-COOH) functional groups, as well as side chains connected to each amino acid. They are not only the raw material for protein synthesis but also participate in the regulation of various physiological functions of cells, which is essential for maintaining life. Amino acids can be classified into aliphatic amino acids, aromatic amino acids, heterocyclic amino acids, acyclic amino acids, basic amino acids, sulfur-containing amino acids, hydroxyl amino acids, iodine-containing amino acids, etc., according to their different binding groups.

Recent advances in gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) have deepened our understanding of metabolic regulation occurring in plant cells. We can efficiently separate amino acids and sort them based on different molecular masses to comprehensively conduct amino acid profiling in samples and apply them in several related research areas. The full spectrum of amino acids can reflect the balance of life activities and detect related dynamic changes, such as reflecting substance metabolism and immune regulation.

Applications of Amino Acids Analysis

• Monitor metabolic process of plant
• Reveal mechanism of plant resistance to xenobiotics
• Identification and quantification of plant proteins
• Assess crop quality and phenotyping

Advantages of Our Amino Acids Analysis Service

• Rich experience in plant sample handling and analysis of more than 20 plant amino acids
• Enable the analysis of plant amino acids present in a variety of plant species at the cell/tissue level
• Efficient quantification of amino acids with LC-MS and GC-MS technology
• Flexible statistical analysis and bioinformatics analysis
• Complete and advanced service platforms

Service Workflow

To detect more than 20 amino acids common in plants, we follow the basic process shown below. At the same time, we will adjust the experimental method according to different natures of samples, since v-innovate Technologies has developed multiple novel sample preparation techniques.

Figure 1. Glycine analysis service workflow.

Mode: MRM
Precision: pmol
Linear: R2 > 0.99

Analysis content:

• Standard curve creation
• Raw data preprocessing
• Absolute quantification of amino acids
• Differential metabolites screening
• Optimal analyses such as KEGG pathway analysis and hierarchical clustering

List of Detectable Plant Amino Acids at v-innovate Technologies

Sample Requirements

1. Fresh plant tissues from leaf, flower, stem, root, seed, or fruit: >1 g. Provide young plant tissues to yield the best results. Samples should be frozen in liquid nitrogen immediately after collection, and then transferred to -80°C for storage.

2. Cells stored in -80°C.

At least 3 biological replicates.

Deliverables

• Experimental procedure
• Parameters of liquid chromatography and MS
• Extracted mitochondria and purified protein sample
• Purity analysis report
• MS raw data files and MS data quality checks
• Metabolites quantification data
• Custom analysis report

The profiling of full-spectrum amino acids can directly reflect the synthesis of proteins. We have a fast, accurate and efficient technology platform that can meet your various experimental needs and get the most comprehensive analysis results.

References

1. Alseekh S, Fernie AR: Using Metabolomics to Assist Plant Breeding. In: Crop Breeding: Genetic Improvement Methods. Edited by Tripodi P. New York, NY: Springer US; 2021: 33-46.
2. Tyler MI: Amino Acid Analysis. In: Amino Acid Analysis Protocols. Edited by Cooper C, Packer N, Williams K. Totowa, NJ: Humana Press; 2000: 1-7.