Alejandro González Rivas

Mr. Alejandro González Rivas

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 December 2022 in Applied Biochemistry and Biotechnology
Verified
Journal Article
Closed access
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ARAlejandro González Rivas
Alejandro González Rivas
VVVerónica Ávila Vázquez
Verónica Ávila Vázquez
Miguel Mauricio Aguilera FloresMiguel Mauricio Aguilera Flores
Miguel Mauricio Aguilera Flores
GCGloria Viviana Cerrillo-Rojas
Gloria Viviana Cerrillo-Rojas
HCHans Christian Correa-Aguado
Hans Christian Correa-Aguado

19 September 2025 in Catalysts
Verified
Journal Article
Open access
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CSCésar Sánchez-Juárez
César Sánchez-Juárez
ARAlejandro González Rivas
Alejandro González Rivas
JGJorge Omar Gomez
Jorge Omar Gomez
TITeodoro Ibarra
Teodoro Ibarra
HCHans Christian Correa-Aguado
Hans Christian Correa-Aguado
GCGloria Viviana Cerrillo-Rojas
Gloria Viviana Cerrillo-Rojas
Plant enzymes, such as those from castor bean (Ricinus communis L.), have been studied as biocatalysts for various industrial applications. In this study, a powdered enzyme extract was used to analyze the potential of lipases present in three castor bean varieties (LV1–LV3). Their hydrolytic activity was evaluated against olive and castor oil substrates (refined and non-refined) at pH 4.5 and 7.0. The results showed that LV2 had higher catalytic activity, managing to hydrolyze more than 98% of the oils in only 4.5 h of reaction. Additionally, diverse computational tools were employed to assess the behavior of OBL1 lipase. By molecular docking analysis, it was found that the binding of ricinoleic acid triacylglycerols to the catalytic site was favored at an acidic pH of 4.5 due to enhanced hydrogen bond formation. In contrast, at pH 7.0, hydrophobic interactions predominated. Molecular dynamics analyses of OBL1 showed that the enzyme–substrate complex is stable over time, providing a robust molecular explanation for the high catalytic efficiency observed in the experimental assays. This research stands out as one of the first to combine lab experiments with computational modeling to study castor bean lipases. Our integrated approach provides fresh insights into the enzyme’s versatile catalytic capabilities, underscoring its potential as a powerful and reliable tool for industrial biotechnology.