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                                       Details for article 16 of 109 found articles
 
 
  Box–Behnken design and machine learning optimization of PET fluorescent carbon quantum dots for removing fluoxetine and ciprofloxacin with molecular dynamics and docking studies as potential antidepressant and antibiotic
 
 
Title: Box–Behnken design and machine learning optimization of PET fluorescent carbon quantum dots for removing fluoxetine and ciprofloxacin with molecular dynamics and docking studies as potential antidepressant and antibiotic
Author: Ebere Enyoh, Christian
Wang, Qingyue
Appeared in: Separation and purification technology
Paging: Volume 362 () nr. P3 pages p.
Year: 2025
Contents:
Publisher: The Author(s)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 16 of 109 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands