Biomimetic and Chemical Sensors Based on Molecularly Imprinted Polymers (MIPs)
A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Materials for Chemical Sensing".
Deadline for manuscript submissions: closed (30 March 2024) | Viewed by 6313
Special Issue Editors
Interests: electrochemistry; forensic chemistry; biochemistry
Interests: molecularly imprinted polymers; solid sorbents; colourimetric sensors; ion and chelating resins; electroanalytical techniques; metal ions complexes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Molecularly imprinted polymers (MIPs) are synthesized as very versatile biomimetic receptors for sensing several analytes. They are successfully applied to a wide range of fields, from medicine and diagnostics to environmental quality monitoring, food controls and forensic analysis.
Several strategies have been employed to face MIPs with different transducers, aiming to develop sensitive and selective chemical and biochemical sensors.
The Special Issue is intended as a collection of the latest research and advancements in the field, titled “Biomimetic and Chemical sensors based on Molecularly Imprinted Polymers (MIPs)”, focusing on recent and novel transduction methods in MIP-based sensors. Both review articles and original research papers are welcome, including but not limited to the following areas:
- Novel applications of MIP-based (bio-)chemosensors;
- MIP-based nanoplatforms and chips;
- New techniques for facing MIP to different transducers;
- Chemometric approach for optimization and treatment of data derived from MIP-based sensors and array;
- Critical reviews of the state-of-art and current trends of MIP-based sensing.
Dr. Daniele Merli
Dr. Giancarla Alberti
Guest Editors
Manuscript Submission Information
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Keywords
- novel applications of MIP-based (bio-)chemosensors
- MIP-based nanoplatforms and chips
- new techniques for facing MIP to different transducers
- chemometric approach for optimization and treatment of data derived from MIP-based sensors and array
- critical reviews of the state-of-art and current trends of MIP-based sensing