Identifying priority PBT-like compounds from emerging PFAS by nontargeted analysis and machine learning models.
Environ Pollut
; 338: 122663, 2023 Dec 01.
Article
in En
| MEDLINE
| ID: mdl-37783416
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Water Pollutants, Chemical
/
Alkanesulfonic Acids
/
Fluorocarbons
Type of study:
Prognostic_studies
/
Qualitative_research
Language:
En
Journal:
Environ Pollut
Journal subject:
SAUDE AMBIENTAL
Year:
2023
Document type:
Article
Country of publication: