2018
DOI: 10.1039/c7cs00854f
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Molecularly imprinted polymers as receptor mimics for selective cell recognition

Abstract: Molecularly imprinted polymers (MIPs) have now earned the reputation as "artificial receptors" or "plastic antibodies". As the mimics of natural receptors, MIPs are reminiscent of some basic functions of natural receptors in living systems, e.g., the ability to interact with or recognize cells. The latest decade has witnessed a great advance in MIPs from simple molecular extraction to efficient cell recognition, implying that MIP-based synthetic receptors are approaching to be perfectly functioning replicates … Show more

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Cited by 381 publications
(202 citation statements)
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“…Given traditional biorecognition elements used in biosensing exhibit stability concerns, such as antibodies or aptamers, as discussed in Sections 2.2.1-2.2.4, there have been efforts to create engineered molecular biorecognition elements, such as scFvs. In contrast, materials-based biorecognition elements exploit the principle of target-specific morphology for selective capture (Pan et al 2018;Zhou et al 2019). The most common approach in materials-based biorecognition is based on cell-and molecularly-imprinted polymers (CIPs and MIPs, respectively) (Gui et al 2018).…”
Section: Cell-and Molecularly-imprinted Polymersmentioning
confidence: 99%
See 1 more Smart Citation
“…Given traditional biorecognition elements used in biosensing exhibit stability concerns, such as antibodies or aptamers, as discussed in Sections 2.2.1-2.2.4, there have been efforts to create engineered molecular biorecognition elements, such as scFvs. In contrast, materials-based biorecognition elements exploit the principle of target-specific morphology for selective capture (Pan et al 2018;Zhou et al 2019). The most common approach in materials-based biorecognition is based on cell-and molecularly-imprinted polymers (CIPs and MIPs, respectively) (Gui et al 2018).…”
Section: Cell-and Molecularly-imprinted Polymersmentioning
confidence: 99%
“…The most common approach in materials-based biorecognition is based on cell-and molecularly-imprinted polymers (CIPs and MIPs, respectively) (Gui et al 2018). CIPs and MIPs have been created using various processes, including bacteria-mediated lithography, micro-contact stamping, and colloid imprints (Chen et al 2016a;Pan et al 2018).…”
Section: Cell-and Molecularly-imprinted Polymersmentioning
confidence: 99%
“…There is no doubt that imprinting encountered considerable obstacles. In the future, the recognition of cell membrane by CIPs still depends on the development of cell biology, targeted molecular imprinting, and the reduction of non‐specific adsorption…”
Section: Biological Molecular Imprinting With Different Scalementioning
confidence: 99%
“…Owing to the specific molecular recognition capability, molecularly imprinted polymers (MIPs) have attracted enormous interest in applied science and technology areas. Molecular imprinting has been widely used to prepare robust polymer materials with predefined molecular selectivity for applications such as affinity‐based separations, solid phase extraction in analytical sample preparation, controlled delivery of therapeutic drugs, and chemical sensors . Molecular imprinting technique involves the preparation of a synthetic polymer through the cross‐linking of functional monomers in the presence of a molecular template.…”
Section: Introductionmentioning
confidence: 99%
“…Molecular imprinting has been widely used to prepare robust polymer materials with predefined molecular selectivity for applications such as affinity-based separations, solid phase extraction in analytical sample preparation, controlled delivery of therapeutic drugs, and chemical sensors. [1][2][3][4] Molecular imprinting technique involves the preparation of a synthetic polymer through the cross-linking of functional monomers in the presence of a molecular template. In the first step, a templatefunctional monomer complex is formed through covalent or non-covalent interactions.…”
Section: Introductionmentioning
confidence: 99%