Related Experiment Video
Updated: Oct 9, 2025

08:56
Visual Detection of Multiple Nucleic Acids in a Capillary Array
Published on: November 15, 2017
7.4K
Applicability of a General Analytical Approach for Detection of Genetically Modified Organisms: Collaborative Trial
Chenguang Wang1, Chunmeng Huang1,2, Pengyu Zhu1
1Chinese Academy of Inspection and Quarantine, Beijing 100176 China.
Journal of AOAC International
|December 20, 2021
Summary
A new universal analytical approach accurately screens for genetically modified organisms (GMOs) in food and feed. This method offers high specificity and sensitivity for detecting GMO presence in global markets.
Area of Science:
- Agricultural Science
- Biotechnology
- Food Safety
Background:
- Increased global commercialization of genetically modified organisms (GMOs) necessitates efficient laboratory screening methods.
- A universal analytical approach was developed for cost-efficient, high-throughput GMO screening with high accuracy.
- This method aims to accurately qualify both authorized and unauthorized GMOs in food and feed.
Purpose of the Study:
- To assess a universal analytical approach for detecting the majority of commercially available GMOs worldwide.
- To evaluate the specificity, sensitivity, and robustness of the developed GMO detection method.
Main Methods:
- Quantitative Polymerase Chain Reaction (qPCR) was employed to detect seven elements and three events across 59 commercialized GMOs.
- Certified reference materials and food/feed samples from the Chinese market were analyzed.
- The method's performance was validated through an interlaboratory study, assessing specificity, conformity, and robustness.
Main Results:
- The selected elements and events demonstrated high specificity and sensitivity for detecting GMO presence.
- Concordance rates ranged from 97.5% to 99.56%, with variance between 0.65% and 12.88%.
- These results meet the minimum requirements for analytical methods in GMO testing.
Conclusions:
- The validated universal analytical approach effectively detects and quantifies GMO presence in food and feed.
- This method is capable of tracking GMO traces within trade and domestic agricultural markets, particularly in China.
- The approach provides a reliable tool for managing GMO content in agricultural products.

