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Glyconanoparticle Characterization Service
Advancements in Glyconanomaterials
The effect of carbohydrates is generally weak, but it is compensated by multiple ligands. Glyconanoparticles are carbohydrate molecules assembled on the surface of nanoparticles, which have great advantages in the study of sugar-sugar interactions and sugar-protein interactions, and their applications range from drug delivery systems to biosensors. CD BioGlyco has developed an advanced GlycoNano™ Platform, which provides clients with one-stop services from the development and characterization of glyconanoparticles to interaction analysis with the advantages of the platform's equipment and conditions.
Unlocking the Secrets of Glyconanoparticles: Precision, Insight, Innovation
In the field of modern materials science and nanotechnology, glyconanoparticles have attracted much attention due to their unique physical and chemical properties. To help clients fully utilize the advantages of glyconanoparticles, we provide professional characterization and interaction analysis services. We aim to reveal their structure, properties, and interactions with other materials, thereby promoting your research and product development. Our services are as follows:
Glyconanoparticle Physicochemical Property Characterization
We combine a variety of analytical techniques to help clients fully understand the physical and chemical properties of glyconanoparticles, and provide basic data and support for their applications in biomedicine, food technology, and materials science.
Fourier-transform Infrared Spectroscopy (FTIR)
Nuclear Magnetic Resonance (NMR)
Raman Spectroscopy (RS)
Surface Plasmon Resonance (SPR)
Thermogravimetric Analysis (TGA)
Morphology
Small Angle Neutron Scattering (SANS)
X-ray Photoelectron Spectroscopy (XPS)
- Elemental composition and chemical composition analysis: Elemental analyzers are used to determine the basic elemental composition of samples, such as carbon, hydrogen, nitrogen, sulfur, etc. XPS is used to analyze the chemical state and elemental composition of the surface of nanoparticles. RS is used to characterize the surface properties and structural information of nanoparticles.
- Molecular weight and molecular structure identification: NMR is used to detect the environment and interactions of atoms to provide detailed structural information. FTIR analyzes characteristic vibrations and functional groups in molecules and identifies chemical bonds and structural-functional groups in sugar molecules. HIC is used to analyze its hydrophobic properties and interactions under different environmental conditions.
- Thermal stability and thermal decomposition: TGA studies the thermal stability of glyconanoparticles, and analyzes their decomposition and phase change characteristics by measuring the change in mass of the sample during temperature changes.
- Particle size and morphology: Scanning electron microscopy and transmission electron microscopy are used to observe the morphology and particle size distribution of nanoparticles.
- Surface charge and stability: SPR studies the interaction between glyconanoparticles and biomolecules, and the response of surface charge changes to the solution environment. SANS studies the size distribution and dispersion of nanoparticles, especially the structural behavior in complex environments.
Glyconanoparticle Molecule Interaction Analysis
We provide clients with molecular interaction analysis services for glyconanoparticles to help them gain a deeper understanding of their functions and application potential in different biological systems. Our services use a variety of innovative technologies, including fluorescence capillary analysis (FCA), dynamic light scattering (DSL), isothermal titration calorimetry (ITC), super microarrays, fluorescence resonance energy transfer (FRET), and SPR to ensure accurate analysis of the interactions between nanoparticles and molecules.
ITC-based Glyconanoparticle Binding Affinity Analysis
Super-microarray-based Glyconanoparticle Binding Affinity Analysis
FRET-based Glyconanoparticle Binding Affinity Analysis
SPR-based Glyconanoparticle Binding Affinity Analysis
We provide in-depth interaction analysis services between glyconanoparticles and different molecules such as carbohydrates, proteins, lipids, polyphenols, nucleic acids, etc. In addition, for complex interactions between multiple molecules, we also provide highly customized solutions to help clients reveal their potential biological significance and application prospects. Whether in scientific research exploration or product development, our professional team will provide accurate and reliable data support to help you succeed.
Nanoparticle Carbohydrate-Carbohydrate Interaction Analysis
Nanoparticle Carbohydrate-Protein Interaction Analysis
Nanoparticle Carbohydrate-Lipid Interaction Analysis
Nanoparticle Carbohydrate-Polyphenol Interaction Analysis
Nanoparticle Carbohydrate-Nucleic acid Interaction Analysis
Nanoparticle Carbohydrate-Multi-molecule Interaction Analysis
Workflow

Applications
- Drug delivery systems: Analyze glyconanoparticles for targeted drug delivery to improve and optimize their performance and reduce side effects.
- Biosensors: Characterize glyconanoparticles in biosensor applications for accurate detection of biomolecules and pathogens.
- Vaccine development: Evaluate glyconanoparticles as adjuvants to enhance immune responses.
Advantages
- We use a variety of advanced technologies such as NMR, FTIR, SPR, etc. to accurately analyze the physical and chemical properties of glyconanoparticles, such as elemental composition, structure, and thermal stability.
- We use FRET, DSL, and other technologies to analyze the interactions between nanoparticles and various molecules such as carbohydrates, proteins, lipids, polyphenols, and nucleic acids, and even study the complex interactions between multiple molecules.
- Our comprehensive analysis services help clients deeply understand the functional mechanisms and structural characteristics of glyconanoparticles, and provide reliable data support for product development and scientific research.
Publication Data
DOI: 10.3390/ijms25073736
Journal: International Journal of Molecular Sciences
Published: 2024
IF: 4.9
Results: The authors studied the effects of the size and shape of protein self-assembled nanoparticles on the IgG response to bacterial sugar antigens exposed on their surface in a mouse model. To confirm accurate assembly, particle size, and glycosylation levels, the glyconanoparticles underwent detailed characterization using sophisticated methods including high-performance liquid chromatography (HPLC), asymmetric flow field-flow fractionation (AF4), and transmission electron microscopy (TEM). Findings indicated that spherical ferritin-based self-assembled nanoparticles elicited the most significant immune response towards sugar antigens in the test mice.
Fig.1 Workflow to produce glycoconjugate nanoparticles. (Dolce, et al., 2024)
Frequently Asked Questions
- What molecules do you analyze the interactions of glyconanoparticles with?
We use a combination of techniques to analyze the interactions of glyconanoparticles with proteins, lipids, polyphenols, nucleic acids, and multiple molecules. -
Why choose your sugar nanoparticle characterization service?
We provide clients with in-depth consulting and analytical services. Not only do we have the most cutting-edge technology and equipment, but our team is composed of senior experts in the industry who are committed to providing accurate, reliable, and actionable results for your research. Our client support team is always ready to answer your questions and guide you in choosing the most suitable service.
CD BioGlyco is at the forefront of glyconanoparticle characterization services, providing clients with valuable insights and solutions to advance the research and applications in nanotechnology. Please feel free to contact us to discuss your project.
Reference
- Dolce, M.; et al. Impact of protein nanoparticle shape on the immunogenicity of antimicrobial glycoconjugate vaccines. International Journal of Molecular Sciences. 2024, 25(7): 3736.
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