Luminescent chitosan/carbon dots as an effective nano-drug carrier for neurodegenerative diseases.
Sheril Ann MathewP PraveenaS DhanavelR ManikandanSellappan SenthilkumarStephen ArumainathanPublished in: RSC advances (2020)
Designing new materials for effective and targeted drug delivery is pivotal in biomedical research. Herein, we report on the development of a chitosan/carbon dot-based nanocomposite and investigate its efficacy as a carrier for the sustained release of dopamine drug. The carbon dots (CDs) were synthesized from the carbonization of chitosan and were further conjugated with chitosan (CS) to obtain a chitosan/carbon dot (CS/CD) matrix. Dopamine was later encapsulated in the matrix to form a dopamine@CS/CD nanocomposite. The cytotoxicity of IC-21 and SH-SY5Y cell lines was studied at various concentrations of the nanocomposite and the results demonstrate around 97% cell viability. The photoluminescence property revealed the characteristic property of the carbon dots. When excited at 510 nm an emission peak was observed at 550 nm which enables the use of carbon dots as a tracer for bioimaging. The HRTEM images and the D, G, and 2D bands of the Raman spectra confirm the successful synthesis of carbon dots and through DLS the particle size is estimated to be ∼3 nm. The release studies of the encapsulated drug from the composite were analyzed in an in vitro medium at different pH levels. The novelty of this method is the use of a non-toxic vehicle to administer drugs effectively towards any ailment and in particular, the carbon dots facilitate the consistent release of dopamine towards neurodegenerative diseases and tracing delivery through bioimaging.
Keyphrases
- drug delivery
- quantum dots
- energy transfer
- cancer therapy
- photodynamic therapy
- uric acid
- wound healing
- sensitive detection
- hyaluronic acid
- drug release
- reduced graphene oxide
- prefrontal cortex
- adverse drug
- metabolic syndrome
- convolutional neural network
- visible light
- emergency department
- light emitting
- single cell
- computed tomography
- deep learning
- fluorescent probe
- nk cells
- positron emission tomography
- risk assessment
- carbon nanotubes
- heavy metals
- high resolution