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Related Experiment Video

Updated: Jun 1, 2026

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

Published on: June 16, 2018

Practicable group testing method to evaluate weight/weight GMO content in maize grains.

Junichi Mano¹, Yuka Yanaka, Yoko Ikezu

¹National Food Research Institute, National Agriculture and Food Research Organization, Kannondai, Tsukuba, Ibaraki 305-8642, Japan.

Journal of Agricultural and Food Chemistry

|May 25, 2011

Summary

A new group testing strategy using PCR analysis of pooled maize kernels accurately quantifies genetically modified organism (GMO) content. This method overcomes limitations of bulk sampling for stacked-event maize, providing reliable weight/weight percentage evaluations.

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Last Updated: Jun 1, 2026

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

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Published on: June 16, 2018

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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Published on: March 13, 2020

Area of Science:

Agricultural Biotechnology
Molecular Biology
Genetics

Background:

Increasing use of maize hybrids with multiple genetically modified (GM) stacked events complicates accurate GMO quantification.
Established bulk sample methods for PCR quantification of GM maize can overestimate GMO content compared to actual weight/weight percentages.

Purpose of the Study:

To develop and assess an alternative method for accurate GM maize quantification, especially in the presence of stacked events.
To establish a statistically sound, weight/weight basis evaluation of GMO content irrespective of stacked-event kernel presence.

Main Methods:

A group testing strategy was designed, utilizing qualitative PCR analyses on multiple small pools of 20 maize kernels each.
An easy-to-use, PCR-based qualitative analytical method was developed, involving grinding kernels in lysis buffer and direct use of lysate as DNA template.
The method was validated through a multilaboratory collaborative trial.

Main Results:

The group testing strategy provides a statistically evaluated GMO content on a weight/weight basis.
The developed PCR method is user-friendly for routine application in GMO analysis.
The method's reliability was confirmed via a multilaboratory collaborative trial.

Conclusions:

The group testing strategy offers a more accurate alternative to bulk sampling for quantifying GM maize with stacked events.
The user-friendly PCR assay enhances routine GMO detection and quantification in maize.
This approach ensures reliable GMO content evaluation, crucial for regulatory compliance and trade.