A highly sensitive fluorescence sensor for tobacco mosaic virus RNA based on DSN cycle and ARGET ATRP double signal amplification.
Zhenyu JinLele MaYuting ZhangLuyao ChenHuaixia YangYanju LiuLiang GuoPublished in: Luminescence : the journal of biological and chemical luminescence (2024)
Early and sensitive detection of tobacco mosaic virus (TMV) is of great significance for improving crop yield and protecting germplasm resources. Herein, we constructed a novel fluorescence sensor to detect TMV RNA (tRNA) through double strand specific nuclease (DSN) cycle and activator regenerative electron transfer atom transfer radical polymerization (ARGET ATRP) dual signal amplification strategy. The hairpin DNA complementarily paired with tRNA was used as a recognition unit to specifically capture tRNA. By the double-stranded DNA hydrolyzed with DSN, tRNA is released to open more hairpin DNA, and more complementary DNA (cDNA) is bound to the surface of the magnetic beads (MBs) to achieve the first amplification. After binding with the initiator, the cDNA employed ARGET ATRP to attach more fluorescent signal molecules to the surface of MBs, thus achieving the second signal amplification. Under the optimal experimental conditions, the logarithm of fluorescence intensity versus tRNA concentration showed a good linear relationship in the range of 0.01-100 pM, with a detection limit of 1.03 fM. The limit of detection (LOD) was calculated according to LOD = 3 N/S. Besides, the sensor showed good reproducibility and stability, which present provided new method for early and highly sensitive detection for plant viruses.
Keyphrases
- nucleic acid
- sensitive detection
- loop mediated isothermal amplification
- single molecule
- quantum dots
- label free
- electron transfer
- circulating tumor
- energy transfer
- cell free
- stem cells
- living cells
- molecularly imprinted
- particulate matter
- real time pcr
- minimally invasive
- risk assessment
- molecular dynamics
- binding protein
- immune response
- mass spectrometry
- nuclear factor
- toll like receptor
- air pollution
- climate change
- dna binding
- circulating tumor cells
- neural network