Dataset for the publication entitled "Ultrasound-assisted extraction of bioactive compounds from broccoli by-products"

  1. Martínez Zamora, Lorena 1
  2. Cano-Lamadrid, Marina 2
  3. Artés-Hernández, Francisco 1
  4. Bueso, María Carmen 1
  5. Kessler, Mathieu 1
  6. Hashemi, Seyedehzeinab
  7. Aguayo, Encarna 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: 2024

Type: Dataset

Version: 7

CC BY 4.0

DOI: 10.5281/ZENODO.15084413 lock_openOpen access editor
Dataset versions:
Version Created DOI
7 02-04-2025 10.5281/zenodo.15084414

Abstract

The objective of this work was to gain insight into the operating conditions that affect the efficiency of ultrasound-assisted extraction (UAE) parameters to achieve the best recovery of bioactive compounds from broccoli leaf and floret byproducts. Therefore, total phenolic content (TPC) and the main sulfur bioactive compounds (sulforaphane (SFN) and glucosinolates (GLSs)) were assayed. Distilled water was used as solvent. For each byproduct type, solid/liquid ratio (1:25 and 2:25 g/mL), temperature (25, 40, and 55 °C), and extraction time (2.5, 5, 7.5, 10, 15, and 20 min) were the studied variables to optimize the UAE process by using a kinetic and a cubic regression model.