Multi-template molecularly imprinted polymer hybrid nanoparticles for selective analysis of nonsteroidal anti-inflammatory drugs and analgesics in biological and pharmaceutical samples

Vahidifar, Mohammad; Es’haghi, Zarrin; Oghaz, Nader Mansoori; Mohammadi, Ali Akbar; Kazemi, Malihe Samadi

doi:10.1007/s11356-021-18308-2

Cited by 6 publications

(1 citation statement)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, a multi-template imprinted polymer was combined with a hybrid nanocomposite system [106]. The selective separation and determination of nonsteroidal antiinflammatory drugs, naproxen (NPX), methocarbamol (MTH), and omeprazole (OMZ) from biological and pharmaceutical samples was demonstrated.…”

Section: Bioseparationmentioning

confidence: 99%

Molecularly Imprinted Polymer-Coated Inorganic Nanoparticles: Fabrication and Biomedical Applications

et al. 2022

View full text Add to dashboard Cite

Molecularly imprinted polymers (MIPs) continue to gain increasing attention as functional materials due to their unique characteristics such as higher stability, simple preparation, robustness, better binding capacity, and low cost. In particular, MIP-coated inorganic nanoparticles have emerged as a promising platform for various biomedical applications ranging from drug delivery to bioimaging. The integration of MIPs with inorganic nanomaterials such as silica (SiO2), iron oxide (Fe3O4), gold (Au), silver (Ag), and quantum dots (QDs) combines several attributes from both components to yield highly multifunctional materials. These materials with a multicomponent hierarchical structure composed of an inorganic core and an imprinted polymer shell exhibit enhanced properties and new functionalities. This review aims to provide a general overview of key recent advances in the fabrication of MIPs-coated inorganic nanoparticles and highlight their biomedical applications, including drug delivery, biosensor, bioimaging, and bioseparation.

show abstract

Section: Bioseparationmentioning

confidence: 99%