研究目的
To quantify target protein in serum down to picomolar concentration using aptamer functionalized nanopores and a probabilistic fuzzy model based on Monte Carlo simulation.
研究成果
The probabilistic fuzzy model based on Monte Carlo simulation effectively quantifies thrombin down to 50 pM in serum, demonstrating a significant advancement in lowering the detection limit for nanopore-based protein detection. This approach shows promise for clinical testing applications.
研究不足
The detection limit is constrained by the dissociation constant of the aptamers and the number of immobilized aptamers. Accurate quantification is challenging due to overlapping current sensitivity histograms in the picomolar regime.
1:Experimental Design and Method Selection:
The study uses aptamer functionalized nanopores for the stochastic detection of single biomolecules, specifically targeting thrombin in serum. A probabilistic fuzzy model based on Monte Carlo simulation is introduced for quantification.
2:Sample Selection and Data Sources:
Thrombin spiked in serum at concentrations ranging from 50 pM to 500 pM is used as the sample. Data is acquired using a patch-clamp amplifier and digitizer.
3:List of Experimental Equipment and Materials:
Quartz capillaries, CO2 laser-assisted pipette puller, patch-clamp amplifier (Axopatch 200B), digitizer (Digidata 1322), and MATLAB for data acquisition and analysis.
4:Experimental Procedures and Operational Workflow:
Fabrication of conical shaped glass nanopores, functionalization with aptamers, data acquisition at various voltages, and signal processing using a probabilistic fuzzy model.
5:Data Analysis Methods:
Current sensitivity histograms are plotted and fitted by Gaussian curves. A probabilistic fuzzy model processes these curves to quantify protein concentration.
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