| DLS, 1× PBS, pH 7.4 | Hydrodynamic diameter: 7–15 nm; mean: 12.72 nm |
|---|---|
| Zeta potential, 1× PBS, pH 7.4 | −23.2 mV |
| Nanopore translocation, 100 nm pore, 1 M LiCl, 10 mM HEPES, pH 7.4, −200 mV | Centroid: log(ΔI) = 1.962, log(Δt) = 0.012 |
Nisitha Wijewantha, Mark K. Kuuziile, Nanduni Chandrasiri, Katherine Gussenhoven, Jason Gao, Y.M. Nuwan D.Y. Bandara, Buddini I. Karawdeniya. “Discriminating cardiovascular risk-related lipoproteins at the single-particle level with solid-state nanopore technology and machine learning.” ChemRxiv (). https://doi.org/10.26434/chemrxiv.15007948/v1
Values presented only in size distributions, scanning electron micrographs, ionic-current traces, translocation-event distributions, or other plots or images were not transcribed. Nanopore-geometry results, machine-learning classification results, and the optimal-pore-size conclusion were not retained
| DLS, 1× PBS, pH 7.4 | Hydrodynamic diameter: 20–50 nm; mean: 22.72 nm |
|---|---|
| Zeta potential, 1× PBS, pH 7.4 | −18.1 mV |
| Nanopore translocation, 100 nm pore, 1 M LiCl, 10 mM HEPES, pH 7.4, −200 mV | Centroid: log(ΔI) = 2.020, log(Δt) = 0.324 |
| DLS, 1× PBS, pH 7.4 | Hydrodynamic diameter: 30–110 nm; mean: 42.32 nm |
|---|---|
| Zeta potential, 1× PBS, pH 7.4 | −16.1 mV |
| Nanopore translocation, 100 nm pore, 1 M LiCl, 10 mM HEPES, pH 7.4, −200 mV | Centroid: log(ΔI) = 1.973, log(Δt) = 0.136 |
| Nanopore translocation, 100 nm pore, 1 M LiCl, 10 mM HEPES, pH 7.4, −100, −200, and −500 mV | Normalized current blockade decreased and dwell time increased with increasing voltage |