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Machine learning approach for ion imprinted (IIP) and non-imprinted (NIP) polymer discrimination based on pyrolysis kinetic data

  • Published:2023-12 Issue: Volume:288 Page:126424
  • ISSN:0032-3861
  • Container-title:Polymer
  • language:en
  • Short-container-title:Polymer

Author:

Barros Jéssica de Vasconcelos CardosoORCID,Santos Castro João DanielORCID,Virgens Cesário Francisco das

Funder

Fundação de Amparo à Pesquisa do Estado da Bahia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

China Scholarship Council

Publisher

Elsevier BV

Subject

Polymers and Plastics,Materials Chemistry,Organic Chemistry

Reference92 articles.

1. Application of coal fly ash for treatment of wastewater containing a binary mixture of copper and nickel;Lekgoba;J. Water Proc. Eng.,2020

2. WHO Guidelines for Drinking-Water Quality: Incorporating 1st and 2nd Addenda. Recommendations. World Health Organization 2008, vol. 1.

3. Optimization and reaction kinetics on the removal of nickel and COD from wastewater from electroplating industry using electrocoagulation and advanced oxidation processes;Moersidik;Heliyon,2020

4. Effect of porogen solvent on the properties of nickel ion imprinted polymer materials prepared by inverse suspension polymerization;Meouche;Eur. Polym. J.,2017

5. Synthesis and application of ion imprinting polymer coated magnetic multi-walled carbon nanotubes for selective adsorption of nickel ion;He;Appl. Surf. Sci.,2018

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