Development of a portable paper-based biosensor for the identification of genetically modified corn (Zea mays) and soybean (Glycine max)

Genetically modified (GM) crops like corn and soy offer enhanced resistance traits but require consistent monitoring to manage gene flow, prevent resistant pests/weeds, and ensure regulatory compliance. In this study, we present a novel loop-mediated isothermal amplification (LAMP)-based microfluidic paper-based analytical device (μPAD) biosensor for the rapid and cost-effective detection of hybrid corn (Roundup Hybridization System 1, RHS1) and soy (Roundup-Ready 1 and 2, RR1 and RR2) traits directly from crude leaf extracts. Our μPAD-LAMP assay offers a promising solution for GM detection, characterized by its speed (within 60 min), simplicity (straightforward design), and affordability ($2.90 per test). We developed μPAD-LAMP cartridges and utilized an image analysis algorithm for time-resolved quantification of colorimetric changes, improving objectivity and accuracy. Our platform detected GM traits at 65 °C using a 1:7 dilution of leaf extracts in 0.12-0.25 % SDS in water, without needing DNA purification. The limit of detection (LoD) for RHS1, RR1, and RR2 targets was 1.40 × 10<sup>3</sup>, 1.10 × 10<sup>3</sup>, and 1.00 × 10<sup>3</sup> genomic copies per reaction, respectively, with our μPAD-LAMP system. This portable μPAD-LAMP platform achieves 100 % specificity, sensitivity, and accuracy in detecting GM corn and soy from leaf extracts, demonstrating its potential as a reliable on-site detection tool. Its adaptability to other GM crops or gene targets positions it as a promising standard for point-of-need (PON) assays in the GM industry.

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Publication Details

Journal
Biosensors and Bioelectronics
Published
2025-06-11
DOI
https://doi.org/10.1016/j.bios.2025.117690
Citations
7
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
4.72

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article

Development of a portable paper-based biosensor for the identification of genetically modified corn (Zea mays) and soybean (Glycine max)

Bibek Raut, Josiah Levi Davidson, Bilal Ahmed, Mohit S. Verma et al.
7 citations
Biosensors and Bioelectronics
Biosensors and Analytical Detection
4.72
article

Development of a portable paper-based biosensor for the identification of genetically modified corn (Zea mays) and soybean (Glycine max)

Bibek Raut, Josiah Levi Davidson, Bilal Ahmed, Mohit S. Verma, Sam Yang, Adele Pauley
article en
7 citations

Abstract

Genetically modified (GM) crops like corn and soy offer enhanced resistance traits but require consistent monitoring to manage gene flow, prevent resistant pests/weeds, and ensure regulatory compliance. In this study, we present a novel loop-mediated isothermal amplification (LAMP)-based microfluidic paper-based analytical device (μPAD) biosensor for the rapid and cost-effective detection of hybrid corn (Roundup Hybridization System 1, RHS1) and soy (Roundup-Ready 1 and 2, RR1 and RR2) traits directly from crude leaf extracts. Our μPAD-LAMP assay offers a promising solution for GM detection, characterized by its speed (within 60 min), simplicity (straightforward design), and affordability ($2.90 per test). We developed μPAD-LAMP cartridges and utilized an image analysis algorithm for time-resolved quantification of colorimetric changes, improving objectivity and accuracy. Our platform detected GM traits at 65 °C using a 1:7 dilution of leaf extracts in 0.12-0.25 % SDS in water, without needing DNA purification. The limit of detection (LoD) for RHS1, RR1, and RR2 targets was 1.40 × 10<sup>3</sup>, 1.10 × 10<sup>3</sup>, and 1.00 × 10<sup>3</sup> genomic copies per reaction, respectively, with our μPAD-LAMP system. This portable μPAD-LAMP platform achieves 100 % specificity, sensitivity, and accuracy in detecting GM corn and soy from leaf extracts, demonstrating its potential as a reliable on-site detection tool. Its adaptability to other GM crops or gene targets positions it as a promising standard for point-of-need (PON) assays in the GM industry.

Biosensors and BioelectronicsVol. 287
Bayer (United States) (US), Purdue University West Lafayette (US)
Bayer CropScience
Zero hunger
Openalex Percentile: Top 5%
Biosensors and Analytical Detection
4.72
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