Filter Plate–Based Screening of MIP SPE Materials for Capture of the Biomarker Pro-Gastrin-Releasing Peptide

Kishore Jagadeesan, Cecilia Rossetti, Abed Abdel Qader, Léon Reubsaet, Borje Sellergren, Thomas Laurell, Simon Ekström

Research output: Contribution to journalArticlepeer-review

8 Citations (SciVal)

Abstract

Affinity-based solid-phase extraction (SPE) is an attractive low-cost sample preparation strategy for biomarker analysis. Molecularly imprinted polymers (MIPs) as affinity sorbents offer unique opportunities for affinity SPE, due to their low manufacturing cost and high robustness. A limitation is the prediction of their affinity; therefore, screening of analyte recovery and specificity within a large range of SPE conditions is important in order to ensure high-sensitivity detection and assay reproducibility. Here, a µ-SPE method for screening of the MIP-SPE materials using a commercial 384-well filter plate is presented. The method allows for rapid and automated screening using 10–30 µL of packed SPE sorbent per well and sample volumes in the range of 10–70 µL. This enables screening of many different SPE sorbents while simultaneously identifying optimal SPE conditions. In addition, the 384-well format also facilitates detection with a multitude of analytical platforms. Performance of the µ-MIP-SPE method was investigated using a series of MIPs designed to capture pro-gastrin-releasing peptide (ProGRP). Fractions coming from sample load, cartridge wash, and elution were collected and analyzed using mass spectrometry (MS). The top-performing MIPs were identified, together with proper SPE conditions.
Original languageEnglish
Pages (from-to)1253-1261
JournalSLAS Discovery
Volume22
Issue number10
Early online date2017 Jan 31
DOIs
Publication statusPublished - 2017 Dec 1

Subject classification (UKÄ)

  • Analytical Chemistry
  • Medical Laboratory and Measurements Technologies

Keywords

  • Sample preparation
  • mass spectromery
  • SEPARATIONS
  • chromatography
  • protein chemistry
  • Biomarkers
  • protein labeling

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