Effectively Selecting Aptamers for Targeting Aromatic Biogenic Amines and Their Application in Aptasensing Establishment.
Nuo DuanMingqian SongWeiyu MiZhouping WangShijia WuPublished in: Journal of agricultural and food chemistry (2021)
It is necessary to detect the biogenic amine (BA) content in food due to their toxicological effects and their role as an index of freshness for protein-rich foods. Aptamer-based techniques have the potential to provide alternative methods for sensitive and efficient monitoring of BAs. Herein, we described the selection and characterization of DNA aptamers for tyramine (TYR) and β-phenethylamine (PHE) using a one-pot coupled with separate selection strategy. During the selection process, melting curve analysis was developed to monitor the enrichment of the aptamer species, and a saturation of the selection was found at the 14th round. Based on the fluorescence assay, aptamers TYR-2 and PHE-2 showed high affinity to TYR and PHE with the dissociation constant values of 64.28 ± 10.4 and 71.64 ± 11.47 nM, respectively. The circular dichromatic and molecular docking technologies were employed for the preliminary binding mechanism analysis. The obtained aptamers TYR-2 and PHE-2 were used in a fluorescence method for the TYR and PHE determination with limits of detection of 0.34 and 0.39 ng/mL, respectively. In addition, the developed aptasensor was further applied to the TYR and PHE detection in pork and beer samples, and the recovery rate was between 95.6 and 104.2%. It was demonstrated that the selected aptamers had enormous potential as a molecular probe for the identification and determination of BAs.
Keyphrases
- molecular docking
- nucleic acid
- label free
- single molecule
- sensitive detection
- gold nanoparticles
- high resolution
- energy transfer
- loop mediated isothermal amplification
- quantum dots
- molecular dynamics simulations
- amino acid
- molecularly imprinted
- solid phase extraction
- small molecule
- mass spectrometry
- photodynamic therapy
- real time pcr
- transcription factor
- drug delivery
- risk assessment
- dna binding
- climate change
- protein protein
- bioinformatics analysis