Biosensors and Bioelectronics, volume 165, pages 112422

Aptamer-integrated nucleic acid circuits for biosensing: Classification, challenges and perspectives

Publication typeJournal Article
Publication date2020-10-01
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor12.6
ISSN09565663, 18734235
General Medicine
Biophysics
Electrochemistry
Biotechnology
Biomedical Engineering
Abstract
Owing to their high programmability and modularity, autonomous enzyme-free nucleic acid circuits are attracting ever-growing interest as signal amplifiers with potential applications in developing highly sensitive biosensing techniques. Besides nucleic acid input, the biosensing scope of aptamer-integrated nucleic acids could be further expanded to non-nucleic targets by integrating nucleic acid circuits with aptamers-a class of functional oligonucleotides with binding capabilities toward specific targets. By coupling upstream target recognition with downstream signal amplification, aptamer-integrated nucleic acid circuits enable aptasensors with increased sensitivity and enhanced performances, which may act as powerful tools in various fields including environment monitoring, personal care, clinical diagnosis, etc. In designing aptamer-integrated nucleic acid circuits, smart integration between aptamer and nucleic acid circuits plays a crucial role in developing reliable circuits with good performances. To date, although there are plenty of published researches adopting aptamer-integrated nucleic acid circuits as amplifiers in biosensing systems, deep discussion or systematic review on rational design strategies for aptamer-integrated nucleic acid circuits is still lacking. To fill this gap, rational aptamer-nucleic acid circuits integration modes were classified and summarized for the first time based on reviewing the state of art of existing aptamer-integrated nucleic acid circuits. Moreover, theoretical updates in nucleic acid circuits designs and major challenges to be overcome in developing highly sensitive aptamer-integrated nucleic acids based biosensing systems are discussed in this review.

Top-30

Citations by journals

1
2
3
4
5
6
Biosensors and Bioelectronics
6 publications, 13.04%
Analytica Chimica Acta
4 publications, 8.7%
Food Chemistry
3 publications, 6.52%
RSC Advances
2 publications, 4.35%
ACS Sensors
2 publications, 4.35%
Journal of Agricultural and Food Chemistry
2 publications, 4.35%
Coordination Chemistry Reviews
2 publications, 4.35%
Sensors and Actuators, B: Chemical
2 publications, 4.35%
Talanta
2 publications, 4.35%
Journal of Radioanalytical and Nuclear Chemistry
1 publication, 2.17%
Frontiers in Chemistry
1 publication, 2.17%
Journal of Hazardous Materials
1 publication, 2.17%
Biosensors
1 publication, 2.17%
Chinese Chemical Letters
1 publication, 2.17%
Journal of Nanobiotechnology
1 publication, 2.17%
TrAC - Trends in Analytical Chemistry
1 publication, 2.17%
Microchemical Journal
1 publication, 2.17%
Small Structures
1 publication, 2.17%
Biotechnology and Bioengineering
1 publication, 2.17%
Journal of Materials Chemistry C
1 publication, 2.17%
The Analyst
1 publication, 2.17%
New Journal of Chemistry
1 publication, 2.17%
Advanced Materials
1 publication, 2.17%
Chemistry and Biodiversity
1 publication, 2.17%
ChemPlusChem
1 publication, 2.17%
Biomedical Analysis
1 publication, 2.17%
Analytical Chemistry
1 publication, 2.17%
Trends in Food Science and Technology
1 publication, 2.17%
Russian Chemical Reviews
1 publication, 2.17%
Analytical Methods
1 publication, 2.17%
1
2
3
4
5
6

Citations by publishers

5
10
15
20
25
Elsevier
25 publications, 54.35%
Royal Society of Chemistry (RSC)
6 publications, 13.04%
Wiley
5 publications, 10.87%
American Chemical Society (ACS)
5 publications, 10.87%
Springer Nature
2 publications, 4.35%
Frontiers Media S.A.
1 publication, 2.17%
Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 2.17%
Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 publication, 2.17%
5
10
15
20
25
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
Share
Cite this
GOST |
Cite this
GOST Copy
Zhou X., Zhu Q., Yang Y. Aptamer-integrated nucleic acid circuits for biosensing: Classification, challenges and perspectives // Biosensors and Bioelectronics. 2020. Vol. 165. p. 112422.
GOST all authors (up to 50) Copy
Zhou X., Zhu Q., Yang Y. Aptamer-integrated nucleic acid circuits for biosensing: Classification, challenges and perspectives // Biosensors and Bioelectronics. 2020. Vol. 165. p. 112422.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.bios.2020.112422
UR - https://doi.org/10.1016/j.bios.2020.112422
TI - Aptamer-integrated nucleic acid circuits for biosensing: Classification, challenges and perspectives
T2 - Biosensors and Bioelectronics
AU - Zhou, Xiaohong
AU - Zhu, Qian
AU - Yang, Yihan
PY - 2020
DA - 2020/10/01 00:00:00
PB - Elsevier
SP - 112422
VL - 165
SN - 0956-5663
SN - 1873-4235
ER -
BibTex
Cite this
BibTex Copy
@article{2020_Zhou,
author = {Xiaohong Zhou and Qian Zhu and Yihan Yang},
title = {Aptamer-integrated nucleic acid circuits for biosensing: Classification, challenges and perspectives},
journal = {Biosensors and Bioelectronics},
year = {2020},
volume = {165},
publisher = {Elsevier},
month = {oct},
url = {https://doi.org/10.1016/j.bios.2020.112422},
pages = {112422},
doi = {10.1016/j.bios.2020.112422}
}
Found error?