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Exploring the peptide retention mechanism in molecularly imprinted polymers. | LitMetric

Exploring the peptide retention mechanism in molecularly imprinted polymers.

Anal Bioanal Chem

Department of Pharmaceutical Chemistry, School of Pharmacy, University of Oslo, P.O. Box 1068, Blindern, 0316, Oslo, Norway.

Published: September 2017

AI Article Synopsis

  • * This study focuses on the selectivity of MIPs for the biomarker pro-gastrin-releasing peptide, using partial least squares regression to predict how these MIPs retain their target peptides based on their physicochemical properties.
  • * The research provides new insights into the mechanisms of MIP selectivity, which can help improve the strategies used in the MIP imprinting process and enhance the solid-phase extraction methods.

Article Abstract

Molecularly imprinted polymers (MIPs) have been used as useful sorbents in solid-phase extraction for a wide range of molecules and sample matrices. Their unique selectivity can be fine-tuned in the imprinting process and is crucial for the extraction of macromolecules from complex matrices such as serum. A relevant example of this is the application of MIPs to peptides in diagnostic assays. In this article the selectivity of MIPs, previously implemented in a quantitative mass-spectrometric assay for the biomarker pro-gastrin-releasing peptide, is investigated. Partial least squares regression was used to generate models for the evaluation and prediction of the retention mechanism of MIPs. A hypothesis on interactions of MIPs with the target peptide was verified by ad hoc experiments considering the relevant peptide physicochemical properties highlighted from the multivariate analysis. Novel insights into and knowledge of the driving forces responsible for the MIP selectivity have been obtained and can be directly used for further optimization of MIP imprinting strategies. Graphical Abstract Applied analytical strategy: the Solid Phase Extraction (SPE) of digested Bovin Serum Albumin (BSA), using Molecularly Imprinted Polymers (MIP), is followed by the liquid chromatography-mass spectrometry (LC-MS) analysis for the identification of the retained peptides. The further application of multivariate analysis allows setting up a Partial Least Square (PLS) model, which describes the peptide retention into the MIP and gives additional knowledge to be used in the optimization of the MIP and the whole SPE method.

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Source
http://dx.doi.org/10.1007/s00216-017-0520-6DOI Listing

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