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Updated: Feb 18, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
Published on: March 3, 2023
Carbon Nanotubes' Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning
Michael González-Durruthy1, Jose M Monserrat2, Bakhtiyor Rasulev3
1Institute of Biological Science (ICB), Federal University of Rio Grande, Rio Grande, RS 96270-900, Brazil. gonzalezdurruthy.furg@gmail.com.
Abstract:
This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (J) under three experimental conditions. New experimental results and a new methodology are reported for the first time and they are based on CNT Raman spectra star graph transform (spectral moments) and perturbation theory. The experimental measures of J showed that no tested CNT family can inhibit the oxygen consumption profiles of mitochondria. The best model for the prediction of J for other CNTs was provided by random forest using eight features, obtaining test R-squared (R²) of 0.863 and test root-mean-square error (RMSE) of 0.0461. The results demonstrate the capability of encoding CNT information into spectral moments of the Raman star graphs (SG) transform with a potential applicability as predictive tools in nanotechnology and material risk assessments.

