Molecularly Imprinted Polymers for Clean Water: Analysis and Purification
Shen, Xiantao LU ; Xu, Changgang LU and Ye, Lei LU
(2013)
In Industrial & Engineering Chemistry Research
52(39).
p.13890-13899
- Abstract
- Because of their predetermined selectivity, molecularly imprinted polymers (MIPs) have been extensively investigated to offer efficient separation of organic pollutants for water analysis and purification. In this review, we first describe the current development of water compatible MIPs, and the physical encapsulation and chemical immobilization of MIP particles for practical applications related to water analysis and purification. We summarize the challenges in understanding the mechanisms in molecular imprinting, with a special emphasis on the use of nuclear magnetic resonance (NMR), dynamic light scattering (DLS), and synchronous fluorescence spectroscopy to gain theoretical insights into the molecular imprinting process. The... (More)
- Because of their predetermined selectivity, molecularly imprinted polymers (MIPs) have been extensively investigated to offer efficient separation of organic pollutants for water analysis and purification. In this review, we first describe the current development of water compatible MIPs, and the physical encapsulation and chemical immobilization of MIP particles for practical applications related to water analysis and purification. We summarize the challenges in understanding the mechanisms in molecular imprinting, with a special emphasis on the use of nuclear magnetic resonance (NMR), dynamic light scattering (DLS), and synchronous fluorescence spectroscopy to gain theoretical insights into the molecular imprinting process. The highlighted synthetic methods and the mechanistic investigations discussed in this review should facilitate the identification of the most crucial factors affecting the applications of MIPs for clean water. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4212280
- author
- Shen, Xiantao
LU
; Xu, Changgang
LU
and Ye, Lei
LU
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Industrial & Engineering Chemistry Research
- volume
- 52
- issue
- 39
- pages
- 13890 - 13899
- publisher
- The American Chemical Society (ACS)
- external identifiers
-
- wos:000326300400002
- scopus:84885226146
- ISSN
- 0888-5885
- DOI
- 10.1021/ie302623s
- language
- English
- LU publication?
- yes
- id
- c8a237db-6567-4a39-a46c-6ec5b32c4dc0 (old id 4212280)
- date added to LUP
- 2016-04-01 13:58:34
- date last changed
- 2022-04-22 00:32:49
@article{c8a237db-6567-4a39-a46c-6ec5b32c4dc0,
abstract = {{Because of their predetermined selectivity, molecularly imprinted polymers (MIPs) have been extensively investigated to offer efficient separation of organic pollutants for water analysis and purification. In this review, we first describe the current development of water compatible MIPs, and the physical encapsulation and chemical immobilization of MIP particles for practical applications related to water analysis and purification. We summarize the challenges in understanding the mechanisms in molecular imprinting, with a special emphasis on the use of nuclear magnetic resonance (NMR), dynamic light scattering (DLS), and synchronous fluorescence spectroscopy to gain theoretical insights into the molecular imprinting process. The highlighted synthetic methods and the mechanistic investigations discussed in this review should facilitate the identification of the most crucial factors affecting the applications of MIPs for clean water.}},
author = {{Shen, Xiantao and Xu, Changgang and Ye, Lei}},
issn = {{0888-5885}},
language = {{eng}},
number = {{39}},
pages = {{13890--13899}},
publisher = {{The American Chemical Society (ACS)}},
series = {{Industrial & Engineering Chemistry Research}},
title = {{Molecularly Imprinted Polymers for Clean Water: Analysis and Purification}},
url = {{http://dx.doi.org/10.1021/ie302623s}},
doi = {{10.1021/ie302623s}},
volume = {{52}},
year = {{2013}},
}