Recent developments on magnetic molecular imprinted polymers ( MMIPs ) for sensing, capturing, and monitoring pharmaceutical and agricultural pollutants

2021 ◽  
Author(s):  
Gulgun Aylaz ◽  
Joel Kuhn ◽  
Elizabeth CHT Lau ◽  
Chi‐Chung Yeung ◽  
Vellaisamy AL Roy ◽  
...  
Keyword(s):  
Molecular Imprinted Polymers ◽  
Imprinted Polymers ◽  
Recent Developments ◽  
Agricultural Pollutants

Removal of trace contaminants using molecularly imprinted polymers

2006 ◽  
Vol 53 (11) ◽  
pp. 205-212 ◽  
Author(s):  
M. Le Noir ◽  
B. Guieysse ◽  
B. Mattiasson
Keyword(s):  
Activated Carbon ◽  
Molecularly Imprinted Polymers ◽  
The Other ◽  
Molecular Imprinted Polymers ◽  
Molecularly Imprinted ◽  
Imprinted Polymers ◽  
Trace Contaminants ◽  
High Concentrations ◽  
Trace Concentrations ◽  
Granulated Activated Carbon

This work was conducted to study the potential of molecularly imprinted polymers (MIPs) for the removal of oestradiol at trace concentrations (1 ppm–1 ppb). An MIP synthesised with 17β-oestradiol as template was compared to non-imprinted polymers (NIP) synthesised under the same conditions but without template, a commercial C18 extraction phase and granulated activated carbon. At 1 ppb oestradiol was recovered by 98±2% when using the MIP, compared to 90±1, 79±1, and 84±2% when using the NIP, a C18 phase, or granulated activated carbon, respectively. According to these levels, the MIP was capable of producing an effluent with a quality 5–10 times higher than the other materials. The same levels of oestradiol recovery were achieved with the MIP when supplying 17β-oestradiol at 0.1 ppm. Phenolic compounds added as interferences bound less to the MIP than to the NIP, confirming the selectivity of the MIP. Oestradiol biodegradation was also demonstrated at high concentrations (50 ppm), showing the pollutants can be safely destructed after being enriched by molecular extraction. This study demonstrates the potential of molecular imprinted polymers as a highly efficient specific adsorbent for the removal of trace contaminants.

scholarly journals Detection of L-nicotine with dissipation mode quartz crystal microbalance using molecular imprinted polymers

2012 ◽  
Vol 209 (5) ◽  
pp. 905-910 ◽  
Author(s):  
Jan Alenus ◽  
Pavel Galar ◽  
Anitha Ethirajan ◽  
Frederik Horemans ◽  
Ans Weustenraed ◽  
...  
Keyword(s):  
Quartz Crystal Microbalance ◽  
Quartz Crystal ◽  
Molecular Imprinted Polymers ◽  
Imprinted Polymers

scholarly journals Magnetic molecular imprinted polymers as a tool for isolation and purification of biological samples

2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Katarzyna Kwaśniewska ◽  
Renata Gadzała-Kopciuch ◽  
Bogusław Buszewski
Keyword(s):  
Molecularly Imprinted Polymers ◽  
Solid Phase ◽  
Medical Diagnostics ◽  
Molecular Imprinted Polymers ◽  
Molecularly Imprinted ◽  
Isolation And Purification ◽  
Imprinted Polymers ◽  
Biological And Environmental Samples ◽  
Magnetite Particles ◽  
Interesting Alternative

AbstractTechnology of molecularly imprinted polymers (MIP) has become very popular in recent decades. MIPs are primarily used in medical diagnostics, chromatographic separation and solid phase extraction (SPE); also as sensors and catalysts. In recent years there have been reported benefits of combining molecular imprinted polymers with additional features, e.g. magnetic properties, through the build-up of this type of material on magnetite particles (Magnetic Molecularly Imprinted Polymer – MMIP). This method produces a multifunctional material which has high selectivity and the ability to isolate the analyte from biological and environmental samples, allowing effective purification from such interferents as proteins and fats. This developing branch of new materials for the preparation and purification of complex sample matrices is an interesting alternative to materials routinely used to date, particularly with regard to the immunosorbents. This paper summarizes recent reports regarding MMIP preparation and their application for purification and isolation of compounds from biological matrices.

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