Carbon Nanotubes' Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning...

Area of Science:

• Biophysics
• Nanotechnology
• Materials Science

Background:

• Mitochondrial function is crucial for cellular respiration.
• Carbon nanotubes (CNTs) are nanomaterials with diverse applications.
• Understanding CNTs' biological interactions is vital for safety assessments.

Purpose of the Study:

• To investigate the impact of various carbon nanotubes (CNTs) on mitochondrial oxygen consumption.
• To develop a predictive model for CNTs' effects on mitochondrial oxygen mass flux (J).

Main Methods:

• Utilized a novel methodology based on CNT Raman spectra star graph transform (spectral moments) and perturbation theory.
• Measured mitochondrial oxygen mass flux (J) under three experimental conditions.
• Employed random forest machine learning with eight features for predictive modeling.

Main Results:

• No tested CNT family inhibited mitochondrial oxygen consumption profiles.
• The random forest model achieved a test R-squared (R²) of 0.863 and RMSE of 0.0461.
• CNT information can be encoded into spectral moments of Raman star graphs.

Conclusions:

• CNTs do not appear to inhibit mitochondrial oxygen consumption.
• The developed methodology offers a promising approach for predicting CNTs' impact on biological systems.
• This approach has potential applications in nanotechnology and material risk assessments.