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Description
The specific physical, chemical and electrochemical electrical properties of gold nanoparticles have led to their extensive use as high-performance chemical and biochemical sensors. The described properties relate to surface plasmon resonance, fluorescence quenching or enhancement, high electrical conductivity and light scattering. The described nanoparticles provide an appropriate microenvironment for the immobilization of biomolecules, maintaining their biological activity. Chemical modification of the described species enables the creation of chemical sensors with increased selectivity and efficiency compared to traditional solutions. Due to the size of the examined objects, atomic force microscopy seems to be an ideal visualization tool, additionally allowing the study of chemical interactions using the so-called chemical force microscopy mode [1]. It should be noted that the different operating mode of the probe microscope allows the visualization of the surface distribution of chemical structure differences by measuring the local value of the surface potential. This operating mode of the device was used as part of the measurements, the results of which are included in this collection. They present images of the distribution of gold nanoparticles locations on a silicon substrate, allowing the estimation of their size and the potential changes between the molecules and the carrier. The set contains 13 maps, made in the topographic and the Kelvin probe mode, with the use of the CDT-NCHR probe.
[1] T. Ito, S. Ibrahim, I. Grabowska, Chemical-force microscopy for materials characterization, TrAC - Trends Anal. Chem. 29 (2010) 225–233. doi:10.1016/j.trac.2009.12.008.
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
open in new tab
CC BY-NCNon-commercial - Raw data:
- Data contained in dataset was not processed.
- Software:
- Gwyddion
Details
- Year of publication:
- 2021
- Verification date:
- 2021-05-28
- Dataset language:
- English
- Fields of science:
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- chemical sciences (Natural sciences)
- DOI:
- DOI ID 10.34808/tt24-vz53 open in new tab
- Funding:
- Series:
- Verified by:
- Gdańsk University of Technology
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