Plasmonic Enhancement of Chiroptical Property in Enantiomers Using a Helical Array of Magnetoplasmonic Nanoparticles for Ultrasensitive Chiral Recognition
| Autor: | Choi Hwa Young, Ji Hoon Lee, Se Jeong Park, Ki-Jae Jeong, Kyung-sun Son, Van Tan Tran, Jaebeom Lee, Dong-Kyu Lee, Juyong Gwak |
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| Rok vydání: | 2021 |
| Předmět: |
chemistry.chemical_classification
Quantitative Biology::Biomolecules Circular dichroism Silver Materials science Circular Dichroism Proteins Nanoparticle Stereoisomerism Nanotechnology Polymer chemistry Limit of Detection Molecule General Materials Science Amino Acids Enantiomer Magnetite Nanoparticles Peptides Chirality (chemistry) Plasmon Circular polarization |
| Zdroj: | ACS Applied Materials & Interfaces. 13:46886-46893 |
| ISSN: | 1944-8252 1944-8244 |
| Popis: | Recognition of enantiomeric molecules is essential in pharmaceutical and biomedical applications. In this Article, a novel approach is introduced to monitor chiral molecules via a helical magnetic field (hB), where chiral-inactive magnetoplasmonic nanoparticles (MagPlas NPs, Ag@Fe3O4 core-shell NPs) are assembled into helical nanochain structures to be chiral-active. An in-house generator of hB-induced chiral NP assembly, that is, a plasmonic chirality enhancer (PCE), is newly fabricated to enhance the circular dichroism (CD) signals from chiral plasmonic interaction of the helical nanochain assembly with circularly polarized light, reaching a limit of detection (LOD) of 10-10 M, a 1000-fold enhancement as compared to that of conventional CD spectrometry. These enhancements were successfully observed from enantiomeric molecules, oligomers, polymers, and drugs. Computational simulation studies also proved that total chiroptical properties of helical plasmonic chains could be readily changed by modifying the chiral structure of the analytes. The proposed PCE has the potential to be used as an advanced tool for qualitative and quantitative recognition of chiral materials, enabling further application in pharmaceutical and biomedical sensing and imaging. |
| Databáze: | OpenAIRE |
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