EVALUATION OF BETANIN EXTRACTION IN BEET LEAVES (BETA VULGARIS L.) USING SUBCRITICAL WATER IN AUTOMATED REACTOR WITH IN-LINE ANALYSIS

• Grant number: 22/11690-7
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2023
• End date: January 28, 2025
• Field of knowledge: Agronomical Sciences - Food Science and Technology - Food Engineering
• Principal Investigator: Tânia Forster Carneiro
• Grantee: Leonardo de Freitas Marinho
• Host Institution: Faculdade de Engenharia de Alimentos (FEA). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 18/14938-4 - Waste2energy: integration of supercritical technologies and anaerobic digestion through an automated system for the production of biofuel precursors, AP.JP2
• Associated scholarship(s): 23/10873-3 - Evaluation of liposome formation and betanin and vitexin assisted by supercritical technology for nutraceutical applications, BE.EP.MS

Abstract

The leaves and bark from beet processing can be used to produce compounds with higher added value such as betalain and the pigment called betanin, which has several characteristics, including antioxidant activity. Among the methods of extracting bioactive compounds, subcritical extraction stands out because it has the advantages of being a fast, selective, non-degrading process and free of toxic residues. This work aims to develop a betanin and vitexin extraction strategy using subcritical water technology. The pilot plant allows the coupling of subcritical water extraction and on-line analysis by high performance liquid chromatography (HPLC). Critical parameters that affect extraction and purification efficiency will be researched and optimized by response surface methodology (RSM). The temperature will vary between 40, 80 and 120°C and the flow rate between 2, 6 and 10 mL/min, with a solvent-feed mass ratio equal to 40 and a pressure of 15 MPa as the fixed parameters. The purification of the extract will be carried out in a column packed with the adsorbent PoraPak" Rxn. It is expected that the method to be developed will provide higher yields of betanin and vitexin production compared to conventional methods. Finally, the pilot plant system with coupling (extraction-water-subcritical×HPLC) is expected to be a powerful tool to monitor the extraction process in real time.

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE FREITAS MARINHO, LEONARDO; SGANZERLA, WILLIAM GUSTAVO; VELASQUEZ, JEAN AGUSTIN; DA SILVA, ALINE PRISCILLA GOMES; ROSTAGNO, MAURICIO ARIEL; FORSTER-CARNEIRO, TANIA. A bibliometric analysis of phenolic acids over the last five years. BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY, v. 56, p. 13-pg., 2024-02-02. (19/26925-7, 18/14938-4, 22/11690-7, 21/08696-0, 18/14582-5)

MARINHO, LEONARDO DE FREITAS; SGANZERLA, WILLIAM GUSTAVO; FERREIRA, VANESSA COSME; MORENO, JUVER ANDREY JIMENEZ; ROSTAGNO, MAURICIO ARIEL; FORSTER-CARNEIRO, TANIA. Advances in green extraction methods, biological properties, and applications of betanin and vitexin: An updated review and bibliometric analysis. BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY, v. 51, p. 17-pg., 2023-08-01. (19/26925-7, 22/11690-7, 22/02305-2, 18/14938-4)

MORENO, JUVER ANDREY JIMENEZ; FERREIRA, VANESSA COSME; AMPESE, LARISSA CASTRO; MARINHO, LEONARDO DE FREITAS; ROSTAGNO, MAURICIO ARIEL; CARNEIRO, TANIA FORSTER. An overview of the ellagic acid and proanthocyanidins' polyphenols from cambuci (Campomanesia Phaea Berg): Myrtaceae's family. EUROPEAN FOOD RESEARCH AND TECHNOLOGY, v. 250, n. 3, p. 18-pg., 2023-12-26. (18/14582-5, 18/14938-4, 21/07986-5, 22/11690-7, 22/02305-2, 23/04479-0)

MORENO, JUVER ANDREY JIMENEZ; MARINHO, LEONARDO DE FREITAS; CONTIERI, LETICIA SANCHES; BARROSO, TIAGO LINHARES CRUZ TABOSA; ROSTAGNO, MAURICIO ARIEL; CARNEIRO, TANIA FORSTER. Obtaining Extracts and Hydrolysates from Cambuci Peel Through Subcritical Water: An In-line Detection Approach. Food and Bioprocess Technology, v. 17, n. 12, p. 20-pg., 2024-05-07. (18/14938-4, 20/03623-2, 22/11690-7, 23/02064-8, 18/14582-5, 23/04479-0)