Chapter title |
MIPs in Aqueous Environments.
|
---|---|
Chapter number | 317 |
Book title |
Molecularly Imprinted Polymers in Biotechnology
|
Published in |
Advances in biochemical engineering biotechnology, March 2015
|
DOI | 10.1007/10_2015_317 |
Pubmed ID | |
Book ISBNs |
978-3-31-920728-5, 978-3-31-920729-2
|
Authors |
Ying-Chun Wan, Hui-Ting Ma, Bin Lu, Ying-chun Wan, Hui-ting Ma |
Abstract |
: When organic solvent-compatible molecularly imprinted polymers (MIPs) are used in aqueous environment, how to reduce nonspecific binding is a major challenge. By modifying the binding solvents and introducing appropriate washing and elution steps, even relatively hydrophobic MIPs can gain optimal rebinding selectivity in aqueous conditions. Furthermore, water-compatible MIPs that can be used to treat aqueous samples directly have been prepared. The use of hydrophilic co-monomers, the controlled surface modification through controlled radical polymerization, and the new interfacial molecular imprinting methods are different strategies to prepare water-compatible MIPs. By combining MIPs with other techniques, both organic solvent-compatible and water-compatible MIPs can display better functional performances in aqueous conditions. Intensive studies on MIPs in aqueous conditions can provide new MIPs with much-improved compatibilities that will lead to more interesting applications in biomedicine and biotechnology. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 26% |
Researcher | 4 | 15% |
Student > Doctoral Student | 4 | 15% |
Student > Bachelor | 2 | 7% |
Unspecified | 1 | 4% |
Other | 6 | 22% |
Unknown | 3 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 10 | 37% |
Agricultural and Biological Sciences | 4 | 15% |
Unspecified | 1 | 4% |
Environmental Science | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 7% |
Unknown | 8 | 30% |