2021
DOI: 10.1002/mds3.10166
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Molecularly imprinted materials for biomedical sensing

Abstract: The development of medicine during the last decades was mainly responsible for the increase in population life expectancy. These advances were achieved owing to contributions by several science areas including biochemistry, chemistry, pharmacology and engineering (Blyakhman et al., 2017; Feldman, 2020). The development of new diagnostic tools is among the most relevant subjects in this context, since disease detection at premature stages enables avoiding evasive, complex and expansive treatments and principall… Show more

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Cited by 14 publications
(7 citation statements)
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“…In short, many kinds of MIP-based biosensor analysis developments have been reported for special targets such as paracetamol (acetaminophen) in plasma (Alanazi et al 2021 ), glycoprotein in human serum sample (You et al 2017 ), uric acid in serum and urine (Göçenoğlu Sarıkaya et al 2017 ), heart-fatty acid binding protein in human serum, human plasma, and bovine serum (Sanati et al 2021 ), β ‑amyloid in serum (Pereira et al 2020 ) and α synuclein in human brain organoids (Lee et al 2020 ) with high accuracy and recovery which may lead to clinical usage as fast and reproducible approaches. The use of MIPs in biological sensing has also been the subject of recent several review studies (Batista et al 2021 ; Kadhem et al 2021 ; Ramanavicius et al 2022 ) (Fig. 9 ).…”
Section: Mip In Bioanalysismentioning
confidence: 98%
“…In short, many kinds of MIP-based biosensor analysis developments have been reported for special targets such as paracetamol (acetaminophen) in plasma (Alanazi et al 2021 ), glycoprotein in human serum sample (You et al 2017 ), uric acid in serum and urine (Göçenoğlu Sarıkaya et al 2017 ), heart-fatty acid binding protein in human serum, human plasma, and bovine serum (Sanati et al 2021 ), β ‑amyloid in serum (Pereira et al 2020 ) and α synuclein in human brain organoids (Lee et al 2020 ) with high accuracy and recovery which may lead to clinical usage as fast and reproducible approaches. The use of MIPs in biological sensing has also been the subject of recent several review studies (Batista et al 2021 ; Kadhem et al 2021 ; Ramanavicius et al 2022 ) (Fig. 9 ).…”
Section: Mip In Bioanalysismentioning
confidence: 98%
“…Our recent work described the preparation and characterization of peptide-imprinted composite nanoparticles that not only allowed the detection of SNCA but also the extraction of SNCA from CRISPR/dCas9a-activated HEK293T cells [ 42 ]. MIP-based chemosensors [ 54 ] could be valuable in detecting the transfer, influx or efflux of various things—e.g., bioactive molecules, such as dopamine; CNS pathological factors, such as β-amyloid oligomers; serum proteins, such as albumin; and pathogens, such as viruses—across brain endothelial cell layers using BBBoCs. This type of sensor can be potentially also be used in pathological conditions to monitor the shedding of glycocalyx elements, such as sialic acid [ 54 ] from the luminal surface of brain endothelial cells, or to detect in the “blood” compartment markers of BBB leakage originating from the “brain” compartment, such as astrocyte markers glial fibrillary acidic protein and S100B, or neuron-specific enolase.…”
Section: Chemosensors With Molecularly Imprinted Polymersmentioning
confidence: 99%
“…Recently, molecular imprinting for biological recognition has attracted significant attention [15][16][17]. This approach uses the 'lock and key' mechanism; therefore, the molecule can identify a cavity with a complementary shape to achieve specific binding.…”
Section: Introductionmentioning
confidence: 99%
“…This approach uses the 'lock and key' mechanism; therefore, the molecule can identify a cavity with a complementary shape to achieve specific binding. Molecularly imprinted polymers (MIPs) are synthesized by the in-situ polymerization of functional monomers and crosslinkers in the presence of target templates [16]. The monomer can interact with the template through covalent or non-covalent bonds.…”
Section: Introductionmentioning
confidence: 99%
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