Journal of Chemical and Pharmaceutical Research (ISSN : 0975-7384)

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Current opinion: 2024 Vol: 16 Issue: 1

Investigating RNA's Impact on GMO Detection through Electrical Signatures

Lisa Jennifer*

Department of Pharmacy, University of Otago, Otago, New Zealand

Corresponding Author:
Lisa Jennifer
Department of Pharmacy, University of Otago, Otago, New Zealand

Received: 01-Jan-2024, Manuscript No. JOCPR-24-127884; Editor assigned: 04-Jan-2024, PreQC No. JOCPR- 24-127884 (PQ); Reviewed: 18-Jan-2024, QC No. JOCPR-24-127884; Revised: 25-Jan-2024, Manuscript No. JOCPR-24-127884 (R); Published: 31-Jan-2024, DOI:10.37532/0975-7384.2024.16(1).098.

Citation: Jennifer L. 2024. Investigating RNA's Impact on GMO Detection through Electrical Signatures. J. Chem. Pharm. Res. 16:098.

Copyright: © 2024 Jennifer L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Description

RNA molecules play an important role in the detection of GMOs due to their unique properties and functions. In genetically modified plants, RNA molecules are often introduced or altered to express specific traits or genetic modifications. These modifications can include the insertion of foreign genes for traits such as herbicide resistance, insect resistance, or improved nutritional content. By targeting and analyzing these RNA molecules, researchers can identify and characterize genetically modified plants with high specificity and sensitivity. Another emerging approach involves the use of RNA sequencing (RNA-seq) technology for GMO detection. RNA-seq allows for the comprehensive analysis of RNA transcripts present in a sample, providing insights into gene expression patterns and genetic modifications. By comparing RNA-seq data from GMO and non-GMO samples, researchers can identify signature RNA sequences associated with specific genetic modifications, enabling sensitive and accurate GMO detection.

In addition to RNA-based detection methods, current-voltage (I-V) characteristic measurements have gained attention as a complementary approach for GMO detection. I-V characteristic measurements involve applying a voltage across a sample and measuring the resulting current flow. The electrical properties of the sample, including its conductivity, resistance, and capacitance, can provide valuable information about its composition and structure. The integration of RNA-based detection methods with current-voltage analysis holds promise for enhancing the accuracy and reliability of GMO detection. By combining information from RNA sequencing or PCR-based assays with electrical measurements of sample conductivity or impedance, researchers can obtain complementary data sets that provide a more comprehensive understanding of the sample's genetic composition and properties.

Despite the promise of RNA-based detection methods and current-voltage analysis for GMO detection, several challenges remain to be addressed. One challenge is the need for standardization and validation of detection protocols to ensure their reliability and reproducibility across different laboratories and platforms. Additionally, the development of portable and cost-effective instrumentation for electrical measurements in field settings is essential for practical implementation of current-voltage analysis for GMO detection. Future research directions in this field include the development of novel sensors and detection platforms capable of integrating RNA analysis with electrical measurements in a single device.

Ethical considerations also play a role in the deployment of GMO detection technologies. Balancing the benefits of GMOs in improving food security and sustainability with concerns about consumer choice and environmental impact requires transparent and informed decision-making. Ensuring regulatory compliance and public trust through robust detection methods is essential for fostering acceptance and responsible use of GMOs. Advances in nanotechnology, microfluidics, and bioinformatics may enable the development of miniaturized, high-throughput systems for rapid and sensitive GMO detection. Furthermore, ongoing efforts to improve our understanding of RNA biology and plant genetics will contribute to the development of more specific and reliable RNA-based detection methods for GMOs.

In conclusion, RNA-based detection utilizing current-voltage characteristics holds great promise for enhancing the accuracy and efficiency of GMO detection. By leveraging the specificity and sensitivity of RNA sequences, FET biosensors offer a viable alternative to traditional DNA-based assays. Continued research and development efforts are needed to address technical challenges, optimize performance, and facilitate the integration of RNA-FET biosensors into practical applications for GMO detection in agriculture and food supply chains. Moreover, encouraging dialogue and collaboration among scientists, policymakers, and stakeholders is crucial for navigating the ethical and regulatory landscape surrounding GMOs responsibly.

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