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Atomic Force Microscopy

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Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
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Quantifying the Mechanical Properties of the Endothelial Glycocalyx with Atomic Force Microscopy
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Probing phospholipid microbubbles by atomic force microscopy to quantify bubble mechanics and nanostructural shell

Adeel S Shafi1, Jake McClements2, Ibrahim Albaijan2

  • 1School of Engineering, Institute for Materials and Processes, The University of Edinburgh, The King's Buildings, Edinburgh EH9 3FB, United Kingdom; Centre for Cardiovascular Science, Queen's Medical Research Institute, The University of Edinburgh, Edinburgh EH16 4TJ, United Kingdom.

Colloids and Surfaces. B, Biointerfaces
|June 11, 2019
PubMed
Summary

Researchers characterized phospholipid-shelled microbubbles (MBs), revealing a novel trilayer structure and quantifying mechanical properties. This enhances understanding of MBs for targeted drug delivery and theranostics.

Keywords:
Atomic force microscopyForce spectroscopyLipid configurationMechanical propertiesMicrobubblesNanostructureShell propertiesShell thicknessUltrasonic contrast agents

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Area of Science:

  • Biophysics
  • Materials Science
  • Nanotechnology

Background:

  • Microbubbles (MBs) are crucial ultrasonic contrast agents enhancing vascular visualization.
  • Developing MBs as drug/gene delivery vehicles requires understanding their mechanical and nanostructural properties.
  • Phospholipid-based MBs offer biocompatibility, echogenicity, and shell-modifiable properties for targeted therapeutics.

Purpose of the Study:

  • To investigate the mechanical and nanostructural properties of phospholipid-shelled MBs.
  • To quantify shell thickness, lipid configuration, and stiffness for theranostic applications.
  • To evaluate the suitability of mechanical theories for characterizing phospholipid MBs.

Main Methods:

  • Fabrication of microfluidic phospholipid-based MBs.
  • Atomic Force Microscopy (AFM) for force spectroscopy and tapping-mode imaging.
  • Application of Reissner and Hertz models, and Alexander-de Gennes polymer brush theory.

Main Results:

  • Accurate quantification of phospholipid-shelled MBs reveals a trilayer structure, differing from conventional monolayers.
  • MB stiffness was measured, with the Hertz model providing biologically relevant Young's modulus comparisons.
  • Polyethylene glycol (PEG) brush thickness variation with MB diameter was determined using polymer brush theory.

Conclusions:

  • The study elucidates the nanostructure and mechanical properties of phospholipid MBs, crucial for theranostic development.
  • The Hertz model is appropriate for mechanical characterization, while Reissner theory is unsuitable for these MBs.
  • New insights into PEG brush behavior on MBs provide a foundation for optimizing targeted delivery systems.