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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Machine learning prediction and calibration of cellulose-based solid-phase extraction performance for pharmaceuticals across aqueous matrices

2026RSC AdvancesJournalOpen access

10.1039/d5ra09776b Full text0 citations

Authors

5 authors across 4 institutions in 3 countries.

Ephriam AkorFirst author
- Redeemer's University (NG)
Damilare Olorunnisola
- Redeemer's University (NG)
Moses O. Alfred
- Redeemer's University (NG)
Onome Ejeromedoghene
Martins O. OmorogieSenior authorCorresponding
- Redeemer's University (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Extraction and Separation Processeslevel 3 · 0.61
Analytical chemistry methods developmentlevel 3 · 0.26
Adsorption and biosorption for pollutant removallevel 3 · 0.03

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · RSC Advances · 0 citations
https://openalex.org/W7133494584

Machine learning prediction and calibration of cellulose-based solid-phase extraction performance for pharmaceuticals across aqueous matrices · Sankore