Machine learning model for adsorptive separation of pigment from polymer
Abstract
All datasets and source codes used for PLS model development and quantification of polymer and conjugated pigment, biochar-based pigment adsorption experimental data with machine-learning modeling and optimization, and raw data with scripts used for figure generation and plotting.
Fields of Study & Subjects
Adsorption and biosorption for pollutant removal
Machine Learning in Materials Science
Spectroscopy and Chemometric Analyses
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 30 January 2026
- Document type
- Dataset