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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19660660 |
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| _version_ | 1866901501806379008 |
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| author | Chu, Melinda |
| author_facet | Chu, Melinda |
| contents | <p class="MsoNormal"><span>Microplastics (MPs) and nanoplastics (NPs) are increasingly recognized as widespread environmental contaminants, yet most analytical workflows still evaluate them in isolation and require complex sample preparation or specialized instrumentation. In practice, real environmental waters contain mixed particle populations spanning multiple size scales, shapes, and polymer types. This <strong>paper applies the Z-Model as a practical framework for understanding mixed MP–NP systems.</strong> By focusing on <strong>accessible surface area (ASA), Z-density, and interaction-state variables </strong>rather than particle count alone, the model explains distinct image-based signatures, disproportionate effects of nanoscale fractions, and mixed-scale transport phenomena. These concepts support the development of scalable, field-deployable methods that better reflect real-world environmental mixtures and advance policy-relevant monitoring.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19660660 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Z-Model Applied to Microplastics and Nanoplastics: Accessible Surface Area, Mixed-Scale Environmental Samples, and Policy-Relevant Detection Chu, Melinda <p class="MsoNormal"><span>Microplastics (MPs) and nanoplastics (NPs) are increasingly recognized as widespread environmental contaminants, yet most analytical workflows still evaluate them in isolation and require complex sample preparation or specialized instrumentation. In practice, real environmental waters contain mixed particle populations spanning multiple size scales, shapes, and polymer types. This <strong>paper applies the Z-Model as a practical framework for understanding mixed MP–NP systems.</strong> By focusing on <strong>accessible surface area (ASA), Z-density, and interaction-state variables </strong>rather than particle count alone, the model explains distinct image-based signatures, disproportionate effects of nanoscale fractions, and mixed-scale transport phenomena. These concepts support the development of scalable, field-deployable methods that better reflect real-world environmental mixtures and advance policy-relevant monitoring.</span></p> |
| title | The Z-Model Applied to Microplastics and Nanoplastics: Accessible Surface Area, Mixed-Scale Environmental Samples, and Policy-Relevant Detection |
| url | https://doi.org/10.5281/zenodo.19660660 |