In our latest research, we introduce a solid-state nanopore method for label-free, amplification-free detection of mitochondrial DNA (mtDNA), a key biomarker for disease. Using machine learning and exonuclease digestion, we achieve high accuracy in distinguishing mtDNA from genomic DNA in biological samples. This approach offers picomolar sensitivity with minimal preparation, making it ideal for clinical diagnostics.
Check our new paper in ACS Nano Journal about amplification-free mitochondrial DNA quantification
Previous
Previous
Check out our review in Analytical Chemistry on The Emergence of Nanofluidics for Single-Biomolecule Manipulation and Sensing
Next
Next