Molecularly Imprinted Polymers (MIPs) onto nanoparticles are at the forefront of revolutionizing the detection of viruses and bacteria, offering distinct advantages in selectivity, stability, and versatility. This abstract explores the application of MIPs in detecting COVID-19 (SARS-CoV-2) and Staphylococcus aureus, particularly focusing on surface imprinting. The synthetic strategies, advantages, and characterization steps associated with MIP-based detection systems are also highlighted. MIPs provide specific binding sites tailored to target molecules, ensuring unparalleled selectivity in pathogen recognition. Their stability, cost-effectiveness, and versatility are augmented by surface imprinting, a technique optimizing accessibility to binding sites and promoting superior molecular recognition. Synthetic strategies encompass precipitation and emulsion polymerization, or solid-phase synthesis, ensuring the creation of surface-imprinted sites with high specificity for the target pathogens. Characterization steps, including FTIR, NMR, and SEM, validate MIPs' detection efficacy. These techniques confirm successful imprinting, assess nanoparticle morphology, and verify the presence of specific binding sites. The significance of MIPs in virus and bacteria detection lies in their ability to offer tailored and selective recognition, minimize false positives, and enhance diagnostic accuracy. MIP-based detection systems, synthesized and characterized with precision, present a transformative approach, offering rapid, specific, and sensitive tools for detecting COVID-19 and S. aureus. This innovation holds the promise of advancing diagnostics, contributing significantly to improved public health outcomes.
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Molecularly Imprinted Nanoparticles for the Detection of Viruses and Bacteria: A Focus on COVID-19 and Staphylococcus aureus via Surface Imprinting
Published:
28 May 2024
by MDPI
in The 3rd International Electronic Conference on Processes
session Chemical Processes and Systems
Abstract:
Keywords: Covid-19, Bacteria detection, Molecularly Imprinted Polymers, Silica nanoparticles, Sensing
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