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Emerging technologies in the design of peptide nucleic acids (PNAs) based biosensors
- Source :
- TrAC. Trends in analytical chemistry (Regul. ed.) 132 (2020). doi:10.1016/j.trac.2020.116062, info:cnr-pdr/source/autori:Moccia, Maria; Antonacci, Amina; Saviano, Michele; Caratelli, Veronica; Arduini, Fabiana; Scognamiglio, Viviana/titolo:Emerging technologies in the design of peptide nucleic acids (PNAs) based biosensors/doi:10.1016%2Fj.trac.2020.116062/rivista:TrAC. Trends in analytical chemistry (Regul. ed.)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:132
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- From the first investigations on peptide nucleic acids (PNA), peculiar features have been described as intrinsic of the singular chemical nature of these biomolecules. Relevant applications in the development of biosensors occurred in the last decades, exploiting them as bioreceptors. Their outstanding chemical and thermal stability as well as highly sensitive towards both complementary and non-complementary sequences, promoted them in the Olympus of biocomponents for applications in diagnostics. The intent of this review (85 ref) is to describe the last trends on the astonishing PNA technology in the biosensing field, in the view of the positive contamination with vanguard technologies including rational design and nanotechnology. In particular, electrochemical and optical biosensors exploiting PNA were reported from the literature, as well as nanostructured and paper-based biosensors for the design of microfluidics and lab-on-chip tools. (C) 2020 Elsevier B.V. All rights reserved.
- Subjects :
- Paper
chemistry.chemical_classification
Diagnostic tools
Emerging technologies
Computer science
Peptide nucleic acid
Biomolecule
010401 analytical chemistry
Microfluidics
Rational design
Nanotechnology
Peptide
01 natural sciences
0104 chemical sciences
Analytical Chemistry
Highly sensitive
Settore CHIM/01
Biosensors
chemistry
Nucleic acid
Graphene
Biosensor
Spectroscopy
Subjects
Details
- ISSN :
- 01659936
- Volume :
- 132
- Database :
- OpenAIRE
- Journal :
- TrAC Trends in Analytical Chemistry
- Accession number :
- edsair.doi.dedup.....9383aed7a4cc1a570d893a6867c1f8ec
- Full Text :
- https://doi.org/10.1016/j.trac.2020.116062