Dataset for the publication entitled "Ultrasound-assisted ethanolic extraction of punicalagin from pomegranate by-products as influenced by cultivar, pre-drying treatment, particle size, and temperature"

  1. Martínez Zamora, Lorena 1
  2. Cano-Lamadrid, Marina 2
  3. Castillejo Montoya, Noelia
  4. Bueso, María Carmen 1
  5. Kessler, Mathieu 1
  6. Artés-Hernández, Francisco 1
  1. 1 Universidad Politécnica de Cartagena
    info
    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

    Geographic location of the organization Universidad Politécnica de Cartagena
  2. 2 Universidad Miguel Hernández de Elche
    info
    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

    Geographic location of the organization Universidad Miguel Hernández de Elche

Editor: Zenodo

Year of publication: 2023

Type: Dataset

Version: 3

CC BY 4.0

DOI: 10.5281/ZENODO.15056436 lock_openOpen access editor
Dataset versions:
Version Created DOI
3 24-03-2025 10.5281/zenodo.15074876
2 24-03-2025 10.5281/zenodo.15074814
1 20-03-2025 10.5281/zenodo.15056437

Abstract

Study the effect of different ultrasound-assisted extraction operating conditions on the punicalagin (∑Pn) and total phenolic content (TPC) yield of pomegranate peel of two cultivars: Wonderful (W) and Mollar de Elche (ME). Besides cultivar, drying method (convective and freeze drying), particle size (<56 and 56–101 μm), extraction temperature (25 and 45 °C) and time (0–60 min) were categorical variables included in the experimental design to optimize the process using a polynomial regression model.