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

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...

Descripción completa

Detalles Bibliográficos
Autores: Bates, Ferdia, Busato, Mirko, Piletska, Elena, Whitcombe, Michael J., Karim, Kal, Guerreiro, Antonio, Valle, Manel del|||0000-0002-1032-8611, Giorgetti, Alejandro, Piletsky, Sergey
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:271559
Acceso en línea:https://ddd.uab.cat/record/271559
https://dx.doi.org/urn:doi:10.1080/01496395.2017.1287197
Access Level:acceso abierto
Palabra clave:Melamine
Milk
Molecular dynamics
Molecular modelling
Molecularly imprinted polymer
Descripción
Sumario: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.