Computational design of molecularly imprinted polymer for direct detection of melamine in milk

Ferdia Bates, Mirko Busato, Elena Piletska, Michael J. Whitcombe, Kal Karim, Antonio Guerreiro, Manel del Valle, Alejandro Giorgetti, Sergey Piletsky

Research output: Contribution to journalArticleResearchpeer-review

20 Citations (Scopus)

Abstract

© 2017 Taylor & Francis. A novel protocol for use of molecularly imprinted polymer (MIP) in analysis of melamine is presented. Design of polymer for melamine has been achieved using a combination of computational techniques and laboratory trials, the former greatly reducing the duration of the latter. The compatibility and concerted effect of monomers and solvents were also investigated and discussed. Two novel open-source tools were presented which are the online polymer calculator from mipdatabase.com and the application of the Gromacs modelling suite to determine the ideal stoichiometric ratio between template and functional monomer. The MIP binding was characterised for several structural analogues at 1–100 μM concentrations. The use of divinylbenzene (DVB) as cross-linking polymer and itaconic acid as functional monomer allowed synthesis of MIP with imprint factor (IF) of 2.25 for melamine. This polymer was used in high-performance liquid chromatography (HPLC) for the rapid detection of melamine in spiked milk samples with an experimental run taking 7–8 min. This approach demonstrated the power of virtual tools in accelerated design of MIPs for practical applications.
Original languageEnglish
Pages (from-to)1441-1453
JournalSeparation Science and Technology (Philadelphia)
Volume52
Issue number8
DOIs
Publication statusPublished - 24 May 2017

Keywords

  • Melamine
  • milk
  • molecular dynamics
  • molecular modelling
  • molecularly imprinted polymer

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