http://scholar.google.com/citations?hl=en&user=95SvbM8AAAAJ
Zink, Stefan; Moura, Francisco Alirio; da Silva Autreto, Pedro Alves; Galvão, Douglas Soares; Mizaikoff, Boris
Efficient prediction of suitable functional monomers for molecular imprinting via local density of states calculations Journal Article
Em: Physical Chemistry Chemical Physics, vol. 20, pp. 13153–13158, 2018.
@article{Zink2018,
title = {Efficient prediction of suitable functional monomers for molecular imprinting via local density of states calculations},
author = {Stefan Zink and Francisco Alirio Moura and Pedro Alves da Silva Autreto and Douglas Soares Galvão and Boris Mizaikoff},
url = {http://pubs.rsc.org/en/content/articlelanding/2018/cp/c7cp08283e/unauth#!divAbstract},
doi = {10.1039/C7CP08283E},
year = {2018},
date = {2018-02-15},
journal = {Physical Chemistry Chemical Physics},
volume = {20},
pages = {13153--13158},
abstract = {Synthetic molecular recognition materials, such as molecularly imprinted polymers (MIPs) are of increasing importance in biotechnology and analytical chemistry, as they are able to selectively bind their respective template. However, due to their specificity, each MIP has to be individually designed for the desired target leading to a molecularly tailored synthesis strategy. While trial-and-error remains the common approach for selecting suitable functional monomers (FM), the study herein introduces a radical new approach towards rationally designing MIPs by rapidly screening suitable functional monomers based on local density of states (LDOS) calculations in a technique known as Electronic Indices Methodology (EIM). An EIM-based method of classification of FMs according to their suitability for imprinting was developed. Starting from a training set of nine different functional monomers, the prediction of suitability of four functional monomers was possible. These predictions were subsequently experimentally confirmed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zink, Stefan; Moura, Francisco Alirio; da Silva Autreto, Pedro Alves; Galvao, Douglas Soares; Mizaikoff, Boris
Virtually Imprinted Polymers (VIPs): Understanding Molecularly Templated Materials via Molecular Dynamics Simulations Journal Article
Em: Physical Chemistry Chemical Physics, vol. 20, pp. 13145-13152, 2018.
@article{Zink2018b,
title = {Virtually Imprinted Polymers (VIPs): Understanding Molecularly Templated Materials via Molecular Dynamics Simulations},
author = {Stefan Zink and Francisco Alirio Moura and Pedro Alves da Silva Autreto and Douglas Soares Galvao and Boris Mizaikoff},
url = {http://pubs.rsc.org/en/content/articlelanding/2018/cp/c7cp08284c/unauth#!divAbstract},
doi = {10.1039/C7CP08284C},
year = {2018},
date = {2018-02-15},
journal = {Physical Chemistry Chemical Physics},
volume = {20},
pages = {13145-13152},
abstract = {Molecularly imprinted polymers are advanced recognition materials selectively rebinding a target molecule present during synthesis of the polymer matrix. It is commonly understood that the templating process is based on embedding the complex formed between a template and functional monomers into a co-polymer matrix via polymerization with a cross-linker while maintaining their spatial arrangement forming a molecular imprint. Template removal then leads to synthetic recognition sites ready to selectively rebind their targets, which are complementary in functionality, size and shape to the target. In this study, an innovative theoretical concept using fully atomistic molecular dynamics simulations for modeling molecular templating processes is introduced yielding virtually imprinted polymers (VIPs). VIPs created for the template of 17-beta-estradiol and applied in modeled chromatography experiments demonstrated selectivity for their template evidencing the creation of virtual imprints as a result of a template synthesis protocol, which represents a theoretical confirmation of the governing imprinting theory.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2018

Zink, Stefan; Moura, Francisco Alirio; da Silva Autreto, Pedro Alves; Galvão, Douglas Soares; Mizaikoff, Boris
Efficient prediction of suitable functional monomers for molecular imprinting via local density of states calculations Journal Article
Em: Physical Chemistry Chemical Physics, vol. 20, pp. 13153–13158, 2018.
Resumo | Links | BibTeX | Tags: MIPs, Polymer, TIE
@article{Zink2018,
title = {Efficient prediction of suitable functional monomers for molecular imprinting via local density of states calculations},
author = {Stefan Zink and Francisco Alirio Moura and Pedro Alves da Silva Autreto and Douglas Soares Galvão and Boris Mizaikoff},
url = {http://pubs.rsc.org/en/content/articlelanding/2018/cp/c7cp08283e/unauth#!divAbstract},
doi = {10.1039/C7CP08283E},
year = {2018},
date = {2018-02-15},
journal = {Physical Chemistry Chemical Physics},
volume = {20},
pages = {13153--13158},
abstract = {Synthetic molecular recognition materials, such as molecularly imprinted polymers (MIPs) are of increasing importance in biotechnology and analytical chemistry, as they are able to selectively bind their respective template. However, due to their specificity, each MIP has to be individually designed for the desired target leading to a molecularly tailored synthesis strategy. While trial-and-error remains the common approach for selecting suitable functional monomers (FM), the study herein introduces a radical new approach towards rationally designing MIPs by rapidly screening suitable functional monomers based on local density of states (LDOS) calculations in a technique known as Electronic Indices Methodology (EIM). An EIM-based method of classification of FMs according to their suitability for imprinting was developed. Starting from a training set of nine different functional monomers, the prediction of suitability of four functional monomers was possible. These predictions were subsequently experimentally confirmed.},
keywords = {MIPs, Polymer, TIE},
pubstate = {published},
tppubtype = {article}
}

Zink, Stefan; Moura, Francisco Alirio; da Silva Autreto, Pedro Alves; Galvao, Douglas Soares; Mizaikoff, Boris
Virtually Imprinted Polymers (VIPs): Understanding Molecularly Templated Materials via Molecular Dynamics Simulations Journal Article
Em: Physical Chemistry Chemical Physics, vol. 20, pp. 13145-13152, 2018.
Resumo | Links | BibTeX | Tags: MIPs, Molecular Dynamics
@article{Zink2018b,
title = {Virtually Imprinted Polymers (VIPs): Understanding Molecularly Templated Materials via Molecular Dynamics Simulations},
author = {Stefan Zink and Francisco Alirio Moura and Pedro Alves da Silva Autreto and Douglas Soares Galvao and Boris Mizaikoff},
url = {http://pubs.rsc.org/en/content/articlelanding/2018/cp/c7cp08284c/unauth#!divAbstract},
doi = {10.1039/C7CP08284C},
year = {2018},
date = {2018-02-15},
journal = {Physical Chemistry Chemical Physics},
volume = {20},
pages = {13145-13152},
abstract = {Molecularly imprinted polymers are advanced recognition materials selectively rebinding a target molecule present during synthesis of the polymer matrix. It is commonly understood that the templating process is based on embedding the complex formed between a template and functional monomers into a co-polymer matrix via polymerization with a cross-linker while maintaining their spatial arrangement forming a molecular imprint. Template removal then leads to synthetic recognition sites ready to selectively rebind their targets, which are complementary in functionality, size and shape to the target. In this study, an innovative theoretical concept using fully atomistic molecular dynamics simulations for modeling molecular templating processes is introduced yielding virtually imprinted polymers (VIPs). VIPs created for the template of 17-beta-estradiol and applied in modeled chromatography experiments demonstrated selectivity for their template evidencing the creation of virtual imprints as a result of a template synthesis protocol, which represents a theoretical confirmation of the governing imprinting theory.},
keywords = {MIPs, Molecular Dynamics},
pubstate = {published},
tppubtype = {article}
}