TY - JOUR
T1 - DNA computational device-based smart biosensors
AU - Cao, Mengyao
AU - Xiong, Xiewei
AU - Zhu, Yun
AU - Xiao, Mingshu
AU - Li, Li
AU - Pei, Hao
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/2
Y1 - 2023/2
N2 - During the past decade, DNA computing has been rapidly developed and made continuous progress. Based on typical DNA functional motifs, DNA computational devices can perform diverse powerful computational functions, such as simple Boolean logics and sophisticated neural network algorithms. Thus, DNA computer is widely regarded as one of the most excellent next-generation molecular computers performing Boolean logic. Benefiting from DNAs’ inherent properties of biocompatibility, low-cost, ease of synthesis, and sequence programmability, DNA computational devices have shown great potential in various biosensing applications. In this review, we summarize the recent progress in DNA computational devices-based biosensors. Initially, DNA logic circuit-based in vitro biosensing is outlined. Afterwards, the DNA neural network-based in vitro biosensing is reviewed. Further, employing DNA logical circuits for in vivo biosensing and programming cell behaviors is also elaborated. Finally, we discuss future challenges and offer some insights on potential directions of DNA computational device-based smart biosensors.
AB - During the past decade, DNA computing has been rapidly developed and made continuous progress. Based on typical DNA functional motifs, DNA computational devices can perform diverse powerful computational functions, such as simple Boolean logics and sophisticated neural network algorithms. Thus, DNA computer is widely regarded as one of the most excellent next-generation molecular computers performing Boolean logic. Benefiting from DNAs’ inherent properties of biocompatibility, low-cost, ease of synthesis, and sequence programmability, DNA computational devices have shown great potential in various biosensing applications. In this review, we summarize the recent progress in DNA computational devices-based biosensors. Initially, DNA logic circuit-based in vitro biosensing is outlined. Afterwards, the DNA neural network-based in vitro biosensing is reviewed. Further, employing DNA logical circuits for in vivo biosensing and programming cell behaviors is also elaborated. Finally, we discuss future challenges and offer some insights on potential directions of DNA computational device-based smart biosensors.
KW - Cell surface engineering
KW - DNA nanotechnology
KW - Molecular computing
KW - Smart biosensor
UR - https://www.scopus.com/pages/publications/85145657138
U2 - 10.1016/j.trac.2022.116911
DO - 10.1016/j.trac.2022.116911
M3 - 文献综述
AN - SCOPUS:85145657138
SN - 0165-9936
VL - 159
JO - TrAC - Trends in Analytical Chemistry
JF - TrAC - Trends in Analytical Chemistry
M1 - 116911
ER -