0000000000970614
AUTHOR
Felix Schlapp
Plasmonic Nanosensors for the Label-Free Imaging of Dynamic Protein Patterns.
We introduce a new approach to monitor the dynamics and spatial patterns of biological molecular assemblies. Our molecular imaging method relies on plasmonic gold nanoparticles as point-like detectors and requires no labeling of the molecules. We show spatial resolution of up to 5 μm and 30 ms temporal resolution, which is comparable to wide-field fluorescence microscopy, while requiring only readily available gold nanoparticles and a dark-field optical microscope. We demonstrate the method on MinDE proteins attaching to and detaching from lipid membranes of different composition for 24 h. We foresee our new imaging method as an indispensable tool in advanced molecular biology and biophysic…
Implantable Sensors Based on Gold Nanoparticles for Continuous Long-Term Concentration Monitoring in the Body.
Implantable sensors continuously transmit information on vital values or biomarker concentrations in bodily fluids, enabling physicians to survey disease progression and monitor therapeutic success. However, currently available technologies still face difficulties with long-term operation and transferability to different analytes. We show the potential of a generalizable platform based on gold nanoparticles embedded in a hydrogel for long-term implanted biosensing. Using optical imaging and an intelligent sensor/reference-design, we assess the tissue concentration of kanamycin in anesthetized rats by interrogating our implanted sensor noninvasively through the skin. Combining a tissue-integ…
Plasmonic Nanosensors for the Label-Free Imaging of Dynamic Protein Patterns
Additional data to support our work on "Plasmonic Nanosensors for the Label-Free Imaging of Dynamic Protein Patterns" published in the Journal of Physical Chemistry Letters (DOI: 10.1021/acs.jpclett.0c01400) Movies: - S1: MinVideo_EColi.mp4 - S2: MinVideo_DOPC_DOPG_CL.mp4 - S3: MinVideo_DOPC_DOPG.mp4 Audio Files: - S1: MinSound_EColi.mp4 - S2: MinSound_DOPC_DOPG_CL.mp4 - S3: MinSound_DOPC_DOPG.mp4