Advances in Electrochemical Techniques for the Detection and Analysis of Genetically Modified Organisms: An Analysis Based on Bibliometrics

• Published in: Chemosensors Vol. 10; no. 5; p. 194
• Main Authors: Zheng, Yuhong, Karimi-Maleh, Hassan, Fu, Li
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2022
• Subjects: Bibliometrics; Biosensors; Chemical sensors; Citation analysis; Cost analysis; Crops; Electrical conductivity; Electrical resistivity; electrochemical sensor; Electrodes; Genes; Genetic modification; Genetically altered foods; Genetically engineered organisms; genetically modified food; Genetically modified organisms; GMO; Hybridization; Nanomaterials; Nanotechnology; Seeds; Sensors; Software; Technology assessment; transgenic food; Transgenic plants; Voltammetry
• DOI: 10.3390/chemosensors10050194
• ISSN: 2227-9040

Since the first successful transgenic plants obtained in 1983, dozens of plants have been tested. On the one hand, genetically modified plants solve the problems of agricultural production. However, due to exogenous genes of transgenic plants, such as its seeds or pollen drift, diffusion between populations will likely lead to superweeds or affect the original traits. The detection technology of transgenic plants and their products have received considerable attention. Electrochemical sensing technology is a fast, low-cost, and portable analysis technology. This review interprets the application of electrochemical technology in the analysis and detection of transgenic products through bibliometrics. A total of 83 research articles were analyzed, spanning 2001 to 2021. We described the different stages in the development history of the subject and the contributions of countries and institutions to the topic. Although there were more annual publications in some years, there was no explosive growth in any period. The lack of breakthroughs in this technology is a significant factor in the lack of experts from other fields cross-examining the subject. Through keyword co-occurrence analysis, different research directions on this topic were discussed. The use of nanomaterials with excellent electrical conductivity allows for more sensitive detection of GM crops by electrochemical sensors. Furthermore, co-citation analysis was used to interpret the most popular reports on the topic. In the end, we predict the future development of this topic according to the analysis results.