Enzyme-powered cascade three-dimensional DNA machine for the ultrasensitive determination of kanamycin.


Journal

Nanoscale
ISSN: 2040-3372
Titre abrégé: Nanoscale
Pays: England
ID NLM: 101525249

Informations de publication

Date de publication:
22 Oct 2020
Historique:
pubmed: 14 10 2020
medline: 15 5 2021
entrez: 13 10 2020
Statut: ppublish

Résumé

DNA walking machines have been widely used in rapid and sensitive detection. In this work, we develop a single enzyme-powered DNA cascade machine for the ultrasensitive determination of kanamycin. To construct the cascade manner, two types of single-legged three-dimensional DNA walking machine are employed to implement integrated target recognition, signal transduction and signal amplification. Upon adding kanamycin to trigger the upstream machine, the sequential enzymatic cleavage drives the autonomous movement of the walking strand and produces plenty of dye-labeled fragments with fluorescence recovery. Meanwhile, these fragments also serve as walking strands to activate the downstream machine for cascade signal amplification. Taking advantage of this cascade DNA machine, ultrasensitive determination can be accomplished in 60 min. Under the optimum conditions, this method was highly selective toward kanamycin with a detection limit of 28 fM. This cascade signal amplification shows great potential for the rapid screening of antibiotics in food.

Identifiants

pubmed: 33048076
doi: 10.1039/d0nr05077f
doi:

Substances chimiques

Anti-Bacterial Agents 0
Kanamycin 59-01-8
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20883-20889

Auteurs

Tai Ye (T)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

Zhiwei Zhang (Z)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

Jiaqi Lu (J)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

Min Yuan (M)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

Hui Cao (H)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

Fengqin Yin (F)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

Xiuxiu Wu (X)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

Fei Xu (F)

Shanghai Engineering Research Center for Food Rapid Detection, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xufei8135@126.com.

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Classifications MeSH