Effects of pulsed electric field parameters on anionic peptide migration during Electromembrane separation of a whey protein hydrolysate: A machine learning comprehensive study - Leonel Cedrick Mafotang Tsague; Mathieu Bazinet; Aurore Cournoyer; Marcello Fidaleo; Laurent Bazinet (Food Research International, 2026)

Valorization of turkey cruor through peptic hydrolysis: peptidomic and machine learning approaches for the identification of antimicrobial peptides - Houssine Fliss; Mathieu Bazinet; Sara Garcia-Vela; Jacinthe Thibodeau; Laurent Bazinet; Sergey Mikhaylin (Food Chemistry, 2026)

Impact of hydrolysis duration and discoloration on peptide profiles and antimicrobial properties in chicken cruor hydrolysates: Identification of five novel antifungal peptides - Delasa Rahimi; Mathieu Bazinet; Zain Sanchez-Reinoso; Sara García-Vela; Juan de Toro-Martín; Sergey Mikhaylin; Laurent Bazinet (Food Chemistry, 2026)

Identification of antihypertensive, antidiabetic, and antioxidant peptides derived from hydrolysates of dairy white wastewaters containing milk proteins using machine learning insights - Diala Damen; Hairati Aboubacar; Aurore Cournoyer; Mathieu Bazinet; Juan de Toro-Martín; Sami Gaaloul; Safia Hamoudi; Benoit Cudennec; Laurent Bazinet (Food Research International, 2026)

How peptide migration and fraction bioactivity are modulated by applied electrical current conditions during electromembrane process separation: A comprehensive machine learning-based peptidomic approach - Aurore Cournoyer; Mathieu Bazinet; Jean-Pierre Clément; Pier-Luc Plante; Ismail Fliss; Laurent Bazinet (Food Research International, 2025)