Published November 2019 | Version v1
Journal article

Current trends in affinity-based monoliths in microextraction approaches: A review

  • 1. Department of Analytical Chemistry, University of Valencia, C/Doctor Moliner 50, Burjassot, Valencia, 46100 (Spain)

Description

Highlights: • Affinity-based monoliths for extraction of biomacromolecules were reviewed. • The synthesis to enhance selective extraction in affinity materials is debated. • The preparation of affinity materials in microextraction formats were highlighted. • The current challenges and the future perspectives of this field were examined. -- Abstract: This article reviews the research contributions along the past five years concerning to monolithic materials for the development of affinity-based sorbents in the field of microextraction techniques. The first part of this paper includes an introduction regarding monolithic affinity media and information of different binding agents (such as immunoglobulin-binding proteins, enzymes, lectins, antibodies, aptamers, dyes and immobilized metal ions and nanoparticles, among others) that can act as affinity ligands. Then, the preparation of monoliths and ligand immobilization strategies as well as the different available formats (syringes, pipette tips, spin columns, capillaries, disks and microfluidic devices) for their use in micro-solid phase extraction are mentioned. On the basis of the binding agents used to prepare affinity monolithic-based sorbents, the last part of manuscript includes several analytical and preparative applications of these monoliths for sample preparation covering different fields (analytical chemistry, biotechnology, proteomics, etc.). Current trends and possible future directions of these affinity-based sorbents in sample preparation are also given.

Additional details

Identifiers

DOI
10.1016/j.aca.2019.07.020;
PII
S0003267019308281;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1084
Journal Page Range
p. 1-20
ISSN
0003-2670
CODEN
ACACAM

INIS

Optional Information

Copyright
Copyright (c) 2019 Elsevier B.V. All rights reserved.