# Integrating target, nontarget analysis with machine learning to illuminate PFAS characteristics and health risks in Chinese cosmetics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/integrating-target-nontarget-analysis-with-machine-learning-to-illuminate-pfas/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Li Zhao,Jian Chen,Yuxin Sun,Yangjie Li,Huiru Li,Qunyue Wu |
| Citations | 0 |
| DOI | 10.1016/j.envpol.2026.127933 |
| Fields | Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7134199105 |
| PMID | 41802561 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Yangjie Li](https://scholariq.org/researchers/yangjie-li/)

## Paper journal

- [Environmental Pollution](https://scholariq.org/journals/environmental-pollution/)

## Paper primary topic

- [Per- and polyfluoroalkyl substances research](https://scholariq.org/topics/per-and-polyfluoroalkyl-substances-research/)

## Paper topics

- [Per- and polyfluoroalkyl substances research](https://scholariq.org/topics/per-and-polyfluoroalkyl-substances-research/)
- [Effects and risks of endocrine disrupting chemicals](https://scholariq.org/topics/effects-and-risks-of-endocrine-disrupting-chemicals/)
- [Toxic Organic Pollutants Impact](https://scholariq.org/topics/toxic-organic-pollutants-impact/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.