Nanoparticle Characterization
Nanoparticle Characterization - Related Videos
08:24
Preparation and Characterization of Novel HDL-mimicking Nanoparticles for Nerve Growth Factor Encapsulation
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Cited by 4 •
2017
Simple homogenization was used to prepare novel, high-density, lipoprotein-mimicking nanoparticles to encapsulate nerve growth factor. Challenges, detailed protocols for nanoparticle preparation, in vitro characterization, and in vivo studies are described in this article.
12:00
Preparation and Characterization of SDF-1α-Chitosan-Dextran Sulfate Nanoparticles
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Cited by 8 •
2015
The objective of this protocol is to incorporate SDF-1α, a stem cell homing factor, into dextran sulfate-chitosan nanoparticles. The resultant particles are measured for their size and zeta potential, as well as the content, activity, and in vitro release rate of SDF-1α from the nanoparticles.
08:19
Synthesis, Characterization, and Functionalization of Hybrid Au/CdS and Au/ZnS Core/Shell Nanoparticles
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Cited by 3 •
2016
The synthesis of uniform gold nanoparticles coated with semiconductor shells of CdS or ZnS is performed. The semiconductor coating is conducted by first depositing a silver sulfide shell and exchanging the silver cations for zinc or cadmium cations.
08:27
Synthesis and Characterization of mRNA-Loaded Poly(Beta Aminoesters) Nanoparticles for Vaccination Purposes
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Cited by 10 •
2021
Here, a simple protocol is presented for producing mRNA nanoparticles based on poly(beta aminoester) polymers, easy to be tailored by changing the encapsulated mRNA. The workflow for synthesizing the polymers, the nanoparticles, and their in vitro essential characterization are also described. A proof-of-concept regarding immunization is also added.
06:19
Optical Trapping of Plasmonic Nanoparticles for In Situ Surface-Enhanced Raman Spectroscopy Characterizations
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Cited by 2 •
2022
The present protocol describes a convenient approach to integrating optical trapping and surface-enhanced Raman spectroscopy (SERS) to manipulate plasmonic nanoparticles for sensitive molecular detection. Without aggregating agents, the trapping laser assembles plasmonic nanoparticles to enhance the SERS signals of target analytes for in situ spectroscopic measurements.
FAQs
No single measurement captures all properties that control nanoparticle behavior. Electron microscopy can examine morphology, dynamic light scattering can assess particle size and aggregation state, spectroscopy can contribute chemical information, and zeta-potential analysis evaluates surface charge. Combining these results helps relate physical and chemical features to stability, cellular interactions, performance, and safety rather than relying on one incomplete description.
Particle size and aggregation state should be considered together because a measured population may contain individual particles as well as associated clusters. Dynamic light scattering provides information about size and aggregation in the measured system, while electron microscopy offers morphological observations. Comparing these complementary results helps researchers determine whether observed behavior reflects the intended nanoparticles or changes occurring in the surrounding medium.
Zeta-potential analysis provides information about surface charge, an important property for understanding how nanoparticles interact with their surrounding environment. In bioengineering, surface-charge measurements contribute to evaluating stability and anticipating cellular interactions. Interpreting this result alongside size, morphology, composition, and aggregation data gives a more complete basis for assessing whether a nanoparticle design is suitable for its intended use.
Chemical composition and morphology provide different but related views of a nanoparticle. Composition describes what the particle contains, whereas morphology describes its observed physical form. Characterization methods such as spectroscopy and electron microscopy help examine these dimensions, allowing researchers to connect nanoscale structure with functional performance, stability, and safety in research or clinical environments.
A practical workflow begins by identifying the properties relevant to the intended application, then selecting complementary measurements for size, morphology, surface charge, composition, aggregation, and interactions with the surrounding medium. Researchers can use electron microscopy, dynamic light scattering, spectroscopy, and zeta-potential analysis as appropriate. Comparing the resulting measurements supports design decisions and quality control.
The surrounding medium can influence how nanoparticles are observed and how they behave during measurement. Characterization therefore includes examining interactions with surrounding media and checking aggregation state rather than treating the particle as an isolated object. This context is important when interpreting stability, cellular interactions, and performance, because measurements made in one environment may not represent behavior in another.
Bioengineers use these measurements when developing and evaluating nanoparticles for drug delivery, imaging, biosensing, and tissue engineering. The relevant property set depends on the application, but size, morphology, composition, surface charge, and aggregation can all inform design and quality control. Characterization also helps connect the engineered nanoscale structure with biological interactions, performance, and safety.
Characterization results provide measurable evidence that a nanoparticle design has the physical, chemical, and biological features required for its intended purpose. Comparing size, morphology, composition, surface charge, aggregation, and surrounding-medium interactions helps identify changes that could affect stability or function. In bioengineering, this information supports consistent development for research and potential clinical environments.