Enzyme-powered cascade three-dimensional DNA machine for the ultrasensitive determination of kanamycin
Source abstract
Abstract
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.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced biosensing and bioanalysis techniques · DNA and Nucleic Acid Chemistry · Biosensors and Analytical Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
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
Funding
National Natural Science Foundation of China
References (32)
Show source-provided references
1. Bacanli · Food Chem. Toxicol. · 2019 · 125 · 46210.1016/j.fct.2019.01.033 ↗
2. Manyi-Loh · Molecules · 2018 · 23 · 79510.3390/molecules23040795 ↗
3. Kirchhelle · Palgrave Commun. · 2018 · 4 · 9610.1057/s41599-018-0152-2 ↗
4. Katsnelson · ACS Cent. Sci. · 2020 · 6 · 810.1021/acscentsci.0c00009 ↗
5. Marchant · Nature · 2018 · 555 · 43110.1038/d41586-018-03267-5 ↗
6. Zhou · Curr. Opin. Biomed. Eng. · 2020 · 13 · 1610.1016/j.cobme.2019.08.003 ↗
7. Zhang · J. Agric. Food Chem. · 2020 · 68 · 255410.1021/acs.jafc.0c00141 ↗
8. Wu · Anal. Chem. · 2019 · 91 · 1533510.1021/acs.analchem.9b03853 ↗
9. Feagin · ACS Sens. · 2018 · 3 · 161110.1021/acssensors.8b00516 ↗
10. Luan · J. Agric. Food Chem. · 2017 · 65 · 573110.1021/acs.jafc.7b02139 ↗
11. Hong · Biosens. Bioelectron. · 2018 · 112 · 20210.1016/j.bios.2018.04.017 ↗
12. Cui · Anal. Chim. Acta · 2018 · 997 · 110.1016/j.aca.2017.10.009 ↗
13. Zhang · Analyst · 2019 · 144 · 499510.1039/C9AN00857H ↗
14. Zeng · J. Mater. Chem. B · 2018 · 6 · 807110.1039/C8TB02642D ↗
15. Bui · Small · 2017 · 13 · 160298310.1002/smll.201602983 ↗
16. Li · Nucleic Acids Res. · 2020 · 48 · 222010.1093/nar/gkaa016 ↗
17. Wang · Proc. Natl. Acad. Sci. U. S. A. · 2018 · 115 · E1218210.1073/pnas.1806859115 ↗
18. Johnson · Nano Today · 2014 · 9 · 10210.1016/j.nantod.2014.02.005 ↗
19. Bui · ACS Nano · 2018 · 12 · 114610.1021/acsnano.7b06699 ↗
20. Yang · ACS Nano · 2016 · 10 · 232410.1021/acsnano.5b07102 ↗
21. Li · Anal. Chem. · 2018 · 90 · 865110.1021/acs.analchem.8b01985 ↗
22. Ye · J. Agric. Food Chem. · 2020 · 68 · 282610.1021/acs.jafc.9b08143 ↗
23. Qu · Microchim. Acta · 2020 · 187 · 19310.1007/s00604-020-4167-1 ↗
24. Zhang · Analyst · 2020 · 145 · 297510.1039/D0AN00139B ↗
25. Zhang · Sens. Actuators, B · 2019 · 297 · 12677110.1016/j.snb.2019.126771 ↗
26. Xu · Chem. Commun. · 2018 · 54 · 874110.1039/C8CC04953J ↗
27. Ma · J. Am. Chem. Soc. · 2020 · 142 · 385110.1021/jacs.9b11545 ↗
28. Wang · Anal. Chem. · 2020 · 92 · 1214510.1021/acs.analchem.0c00130 ↗
29. Liu · ACS Sens. · 2017 · 2 · 184710.1021/acssensors.7b00710 ↗
30. Oishi · ACS Nano · 2020 · 14 · 347710.1021/acsnano.9b09581 ↗
31. Yang · Chem. Sci. · 2020 · 11 · 848210.1039/D0SC02850A ↗
32. Cheng · Sens. Actuators, B · 2020 · 304 · 12736710.1016/j.snb.2019.127367 ↗