Skip to main content
Set de datos (Dataset).

Supplementary Materials for Neuroprotective potential of thinned peaches extracts obtained by pressurized liquid extraction after different drying processes

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311213
Digital.CSIC. Repositorio Institucional del CSIC
  • Guo, Chongting
  • Valdés, Alberto
  • Sánchez-Martínez, J. David
  • Ibáñez, Elena
  • Bi, Jinfeng
  • Cifuentes, Alejandro
The supporting information: Table S1: Analysis of variance for TPC for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S2: Analysis of variance for AChE for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S3: Analysis of variance for LOX for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S4: Analysis of variance for ROS for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S5: PLE conditions, desirability, predicted response values at the optimum predicted by the model and experimental response values for the selected optimum (50% ethanol at 180 °C). Table S6: Multiple response optimization. Table S7: MS1 (m/z) and RT (min) of the internal standards used. Table S8: Abundance levels of tentatively identified metabolites in thinned peach PLE extracts. Figure S1: Response surfaces for each response variable and their corresponding standardized Pareto charts: A, TPC (mg GAE/mL); B, IC50 AChE (µg/mL); C, IC50 LOX (µg/mL); D, IC50 ROS (µg/mL). Figure S2: Desirability response surface used to optimize all response variables., Peer reviewed
 
DOI: http://hdl.handle.net/10261/311213, https://doi.org/10.20350/digitalCSIC/15324
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311213

HANDLE: http://hdl.handle.net/10261/311213, https://doi.org/10.20350/digitalCSIC/15324
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311213
 
Ver en: http://hdl.handle.net/10261/311213, https://doi.org/10.20350/digitalCSIC/15324
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311213

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311213
Set de datos (Dataset). 2022

SUPPLEMENTARY MATERIALS FOR NEUROPROTECTIVE POTENTIAL OF THINNED PEACHES EXTRACTS OBTAINED BY PRESSURIZED LIQUID EXTRACTION AFTER DIFFERENT DRYING PROCESSES

Digital.CSIC. Repositorio Institucional del CSIC
  • Guo, Chongting
  • Valdés, Alberto
  • Sánchez-Martínez, J. David
  • Ibáñez, Elena
  • Bi, Jinfeng
  • Cifuentes, Alejandro
The supporting information: Table S1: Analysis of variance for TPC for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S2: Analysis of variance for AChE for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S3: Analysis of variance for LOX for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S4: Analysis of variance for ROS for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S5: PLE conditions, desirability, predicted response values at the optimum predicted by the model and experimental response values for the selected optimum (50% ethanol at 180 °C). Table S6: Multiple response optimization. Table S7: MS1 (m/z) and RT (min) of the internal standards used. Table S8: Abundance levels of tentatively identified metabolites in thinned peach PLE extracts. Figure S1: Response surfaces for each response variable and their corresponding standardized Pareto charts: A, TPC (mg GAE/mL); B, IC50 AChE (µg/mL); C, IC50 LOX (µg/mL); D, IC50 ROS (µg/mL). Figure S2: Desirability response surface used to optimize all response variables., Peer reviewed





Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311213
Set de datos (Dataset). 2022

SUPPLEMENTARY MATERIALS FOR NEUROPROTECTIVE POTENTIAL OF THINNED PEACHES EXTRACTS OBTAINED BY PRESSURIZED LIQUID EXTRACTION AFTER DIFFERENT DRYING PROCESSES

Digital.CSIC. Repositorio Institucional del CSIC
  • Guo, Chongting
  • Valdés, Alberto
  • Sánchez-Martínez, J. David
  • Ibáñez, Elena
  • Bi, Jinfeng
  • Cifuentes, Alejandro
The supporting information: Table S1: Analysis of variance for TPC for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S2: Analysis of variance for AChE for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S3: Analysis of variance for LOX for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S4: Analysis of variance for ROS for response surface modeling showing linear, quadratic and interaction relations and coefficients for model prediction. Table S5: PLE conditions, desirability, predicted response values at the optimum predicted by the model and experimental response values for the selected optimum (50% ethanol at 180 °C). Table S6: Multiple response optimization. Table S7: MS1 (m/z) and RT (min) of the internal standards used. Table S8: Abundance levels of tentatively identified metabolites in thinned peach PLE extracts. Figure S1: Response surfaces for each response variable and their corresponding standardized Pareto charts: A, TPC (mg GAE/mL); B, IC50 AChE (µg/mL); C, IC50 LOX (µg/mL); D, IC50 ROS (µg/mL). Figure S2: Desirability response surface used to optimize all response variables., Peer reviewed





1106