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SARS-CoV-2 monitoring by automated target-driven molecular machine-based engineering.
Fan, Zhenqiang; Xie, Minhao; Pan, Jianbin; Zhang, Kai.
  • Fan Z; NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, 214063 China.
  • Xie M; NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, 214063 China.
  • Pan J; Department of Radiopharmaceuticals, School of Pharmacy, Nanjing Medical University, Nanjing, 211166 China.
  • Zhang K; State Key Laboratory of Analytical Chemistry for Life Science and Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023 China.
Environ Chem Lett ; 20(4): 2227-2233, 2022.
Article in English | MEDLINE | ID: covidwho-1787823
ABSTRACT
Biosensors based on nucleic acid-structured electrochemiluminescence are rapidly developing for medical diagnostics. Here, we build an automated DNA molecular machine on Ti3C2/polyethyleneimine-Ru(dcbpy)3 2+@Au composite, which alters the situation that a DNA molecular machine requires laying down motion tracks. We use this DNA molecular machine to transduce the target concentration information to enhance the electrochemiluminescence signal based on DNA hybridization calculations. Complex bioanalytical processes are centralized in a single nucleic acid probe unit, thus eliminating the tedious steps of laying down motion tracks required by the traditional molecular machine. We found a detection limit of 0.68 pM and a range of 1 pM to 1 nM for the analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) specific DNA target. Recoveries range between 96.4 and 104.8% for the analysis of SARS-CoV-2 in human saliva. Supplementary Information The online version contains supplementary material available at 10.1007/s10311-022-01434-9.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Environ Chem Lett Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Environ Chem Lett Year: 2022 Document Type: Article