The study of single‐cell dynamics contributes to the evaluation of food‐derived antioxidant capacity

Abstract

AbstractExploring potential food‐derived bioactive substances that relieve oxidative stress is considered an important goal for antioxidant research. We first used the long‐pair electron index and orbital fingerprint to predict the molecular interactions in a range of polyphenols and polypeptides. We found Rutin and peptide PW5 had the highest LPE index values. Subsequently, by D‐galactose (D‐gal)‐induced oxidative NIH3T3 cell model, we proved both Rutin and PW5 could effectively protect cells against D‐gal‐induced damage, through enhancement in cell proliferation and reduction in β‐galactosidase activity. Although Rutin displayed better performance than PW5 in the oxidative stress model, we confirmed Rutin stimulated obvious changes in the morphology and motility of normal NIH3T3 cells based on the real‐time dynamic images. Taken together, combined computational and typical model experiment methods, proved useful in efficiently screening food‐derived antioxidants. Moreover, the analytical results of cell morphology and movement may provide novel insights for the safety evaluation of antioxidants.