Response Surface Methodology to Efficiently Optimize Intracellular Delivery by Photoporation

Area of Science:

• Biotechnology
• Cell Biology
• Nanotechnology

Background:

• Photoporation offers gentle and efficient cell transfection.
• Traditional optimization (OFAT) is time-consuming and may miss optimal parameters.

Purpose of the Study:

• To evaluate response surface methodology (RSM) for optimizing photoporation.
• To compare central composite design (CCD) and Box-Behnken design (BBD) within RSM.

Main Methods:

• Utilized polydopamine nanoparticles (PDNPs) as sensitizers for photoporation.
• Optimized FITC-dextran delivery into RAW264.7 cells by varying PDNP size, concentration, and laser fluence.
• Employed CCD and BBD for RSM analysis, including model fitting and validation.

Main Results:

• RSM identified optimal photoporation conditions with 5-8x greater efficiency than OFAT.
• A significant dependence of delivery yield on PDNP size was observed.
• Both CCD and BBD successfully determined optimal parameters.

Conclusions:

• RSM is a highly efficient strategy for optimizing photoporation.
• This methodology accelerates the optimization process for specific cell types and delivery applications.
• Findings highlight the critical role of PDNP size in photoporation efficiency.