研究目的
To review and discuss the application of carbon nanomaterials as contrast agents in photoacoustic imaging for biomedical purposes, including imaging-guided therapy and multimodal imaging.
研究成果
Carbon nanomaterials are excellent contrast agents for photoacoustic imaging due to their biocompatibility, strong light absorption, and high photothermal conversion efficiency. They enable enhanced sensitivity, specific targeting, and multimodal capabilities, making them suitable for clinical applications in diagnosis and therapy. Future work should focus on optimizing synthesis, functionalization, and overcoming spectral challenges for broader clinical deployment.
研究不足
Limitations include the relatively lower optical absorption of carbon nanomaterials compared to gold nanoparticles, challenges in spectral separation due to broad absorption spectra, and biocompatibility concerns that require careful size and surface modification. Penetration depth is limited by photon reach, and image acquisition speed varies between PAM and PACT systems.
1：Experimental Design and Method Selection:
The paper reviews various photoacoustic imaging systems (PAM and PACT) and the use of carbon nanomaterials as contrast agents. It includes theoretical models such as the photoacoustic pressure equation and describes methods for synthesizing and functionalizing carbon nanomaterials.
2：Sample Selection and Data Sources:
Studies involve in vivo and in vitro experiments on small animals (e.g., mice, rats) and human cells, using carbon nanomaterials like single-walled carbon nanotubes, carbon dots, and graphene-based composites.
3：List of Experimental Equipment and Materials:
Equipment includes pulsed lasers, ultrasound transducers, data acquisition boards, microscopes (e.g., TEM for imaging), and synthesis apparatus (e.g., microwave for nanoparticle synthesis). Materials include carbon nanomaterials, polymers (e.g., PEG), dyes (e.g., ICG), and biological samples.
4：Experimental Procedures and Operational Workflow:
Procedures involve synthesizing carbon nanomaterials, conjugating them with targeting molecules, injecting into subjects, performing photoacoustic imaging with specific laser wavelengths, and analyzing signals for imaging and therapy monitoring.
5：Data Analysis Methods:
Analysis includes signal-to-noise ratio calculations, image reconstruction algorithms (e.g., filtered back projection), and statistical comparisons of pre- and post-injection signals.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
