Related Experiment Video
Updated: Jul 30, 2026

07:10
Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
Published on: March 13, 2020
9.7K
Classification of Crab-Field Rice and Conventional Rice Based on Multi-Element, Stable Isotope, and Non-Targeted
Xianxin Wu1, Lina Li1, Tianshu Peng1
1Institute of Agricultural Quality Standards and Testing Technology, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China.
Foods (Basel, Switzerland)
|June 13, 2025
Summary
Authenticating rice is crucial due to fraud risks. This study uses elemental, isotopic, and metabolite analysis to differentiate high-value crab-field rice from conventional rice, ensuring product authenticity.
Area of Science:
- Agricultural Chemistry
- Food Science
- Analytical Chemistry
Background:
- Rice quality is linked to cultivation methods, with rice-crab co-cultivation yielding premium products.
- The higher value of crab-field rice makes it susceptible to commercial fraud, necessitating reliable authentication methods.
Purpose of the Study:
- To develop a robust method for distinguishing crab-field rice from conventional rice.
- To identify key chemical markers indicative of rice origin and cultivation practices.
Main Methods:
- Synergistic application of multi-element analysis, stable isotope ratio analysis (δ15N and δ13C), and metabolite profiling.
- Utilized chemometric methods for data analysis and discriminant modeling.
Main Results:
- Seven key elements (Se, Rb, Cu, Cd, Ag, V, Zn), two stable isotopes (δ15N, δ13C), and nine metabolites were identified as significant discriminators.
- Discriminant analysis models based on elemental/isotopic data or metabolite data achieved complete separation between crab-field and conventional rice.
Conclusions:
- Isotope, elemental, and metabolic fingerprinting provide effective and reliable methods for authenticating crab-field rice.
- This approach supports the integrity of premium rice markets and protects consumers from fraudulent products.
Related Concept Videos
Classifying Matter by Composition
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or more types of...
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or more types of...
Methods of Classification and Identification
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
Modern Molecular Taxonomy
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

