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Updated: Jul 4, 2025
Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors
Published on: February 4, 2016
RNA-based detection of genetically modified plants via current-voltage characteristic measurement
Chun-Kai Huang1, Yi-Nan Lin2, Wen-Shan Huang2
1Graduate School of Biotechnology and Bioengineering, Yuan Ze University, Taoyuan 320315, Taiwan, Republic of China; Department of Chemical Engineering and Materials Science, Yuan Ze University, Taoyuan 320315, Taiwan, Republic of China; Institute of Plant and Microbial Biology, Academia Sinica, Taipei 115201, Taiwan, Republic of China.
A new biosensor, RapiSense, offers a cost-effective and portable method for detecting genetically modified (GM) crops. This technology enables rapid, on-site screening by measuring voltage shifts upon DNA/RNA hybridization, addressing limitations of traditional methods.
Area of Science:
- Agricultural Biotechnology
- Biosensor Technology
- Molecular Diagnostics
Background:
- Genetically modified (GM) crops require efficient detection methods due to safety and ethical concerns.
- Conventional methods like polymerase chain reaction are often expensive, lab-dependent, and slow.
- There is a need for accessible, field-deployable GM crop identification tools.
Purpose of the Study:
- To develop and validate RapiSense, a novel biosensor platform for rapid and cost-effective GM crop detection.
- To assess the sensitivity and specificity of RapiSense for identifying specific DNA and RNA sequences.
- To demonstrate the platform's utility in real-world transgenic plant samples.
Main Methods:
- Development of a portable biosensor platform (RapiSense) utilizing voltage shift measurements.
- Design of DNA probes targeting the hygromycin phosphotransferase gene for herbicide resistance.
- Integration of a membrane sensor to enhance sensitivity for fragmented RNA detection.
- Testing RapiSense with transgenic Arabidopsis, sweet potato, and rice samples.
Main Results:
- RapiSense detected specific DNA/RNA targets with a concentration range from approximately 1 nM to 10 μM.
- The biosensor successfully discriminated between complementary, non-specific, and mismatched nucleotide sequences.
- The platform demonstrated high sensitivity in detecting target molecules in various transgenic crops.
- A measurable voltage shift (0.1–1 V) indicated successful hybridization events.
Conclusions:
- RapiSense provides a sensitive, cost-effective, and portable solution for GM crop detection.
- The biosensor platform overcomes the limitations of conventional, lab-bound detection methods.
- RapiSense shows significant potential for rapid, on-site screening of genetically modified agricultural products.
