Perspectives and trends in advanced DNA biosensors for the recognition of single nucleotide polymorphisms

[Display omitted] •SNPs are the primary cause of individual variability.•SNPs genotyping exhibits considerable attention for the diagnosis of genetic disorders.•DNA nanobiosensors provide a reliable platform for effective identification of SNPs.•Main benefits of DNA biosensors include short detectio...

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Veröffentlicht in:Chemical engineering journal (Lausanne, Switzerland : 1996) Switzerland : 1996), 2022-08, Vol.441, p.135988, Article 135988
Hauptverfasser: Samad Hosseini, Seyed, Jebelli, Asiyeh, Vandghanooni, Somayeh, Jahanban-Esfahlan, Ali, Baradaran, Behzad, Amini, Mohammad, Bidar, Negar, de la Guardia, Miguel, Mokhtarzadeh, Ahad, Eskandani, Morteza
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Sprache:eng
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Zusammenfassung:[Display omitted] •SNPs are the primary cause of individual variability.•SNPs genotyping exhibits considerable attention for the diagnosis of genetic disorders.•DNA nanobiosensors provide a reliable platform for effective identification of SNPs.•Main benefits of DNA biosensors include short detection time and high sensitivity. Single nucleotide polymorphisms (SNPs), which seem to be vast differences in gene sequences, are the primary cause of individual variability. Moreover, multiple devastating abnormalities such as multiple sclerosis, cystic fibrosis, hypertension, and many other diseases are associated with single nucleotide variations. Different approaches identify and differentiate single nucleotide substitutions at particular positions of the genome, allowing point-of-care diagnosis, accurate monitoring of drug responses and diseases. However, the health care industry requires more sophisticated and advanced technologies to detect SNPs, hinder disease progression, and revolutionize the drug development process. We show here that advanced biosensor systems can effectively track SNPs, providing a reliable and precise platform for subsequently identifying them. The main goal of this review is focused on novel SNP biosensors, paying special consideration to those based on electrochemical, optical, and piezoelectric analysis. Moreover, the basic principles of advanced biosensors have been mentioned, and future trends in the sensing field are covered in this review.
ISSN:1385-8947
1873-3212
DOI:10.1016/j.cej.2022.135988