Publication details
The Application of Anisotropically Collapsing Gels, Deep Learning, and Optical Microscopy for Chemical Characterization of Nanoparticles and Nanoplastics
| Authors | |
|---|---|
| Year of publication | 2025 |
| Type | Article in Periodical |
| Magazine / Source | Langmuir |
| MU Faculty or unit | |
| Citation | |
| web | https://pubs.acs.org/doi/10.1021/acs.langmuir.5c00769 |
| Doi | https://doi.org/10.1021/acs.langmuir.5c00769 |
| Keywords | chemical characterization; photon-upconversion nanoparticles; polystyrene nanoparticles; optical microscopy; direct counting |
| Description | The paper presents an application of nanoparticle counting by optical microscopy technique combined with acid-base titration for estimating the number of carboxyl groups on surface of photon-upconversion and polystyrene nanoparticles. The counting method is based on immobilization of nanoparticles in agarose gel and use of deep learning for data evaluation. |