Repurposing Sunflower Seed Flour for Nutritional and Functional High-Protein Breads within a Circular Economy Framework

To repurpose and add value to a typically overlooked product, this study focused on fully optimizing the incorporation of partially defatted sunflower seed flour, a byproduct commonly produced during sunflower oil processing. Given its rich content of proteins and chlorogenic acid, this ingredient holds promise for inclusion in functional foods. A comprehensive chemical and proximal characterization of the formulations, coupled with a thorough assessment of the dough’s thermomechanical parameters and the resulting bread’s physical properties, was conducted. Our findings demonstrate the successful formulation of functional breads incorporating an aqueous extract of SF (SFE), where the rheological attributes are comparable with those of control breads formulated with wheat flour. These breads exhibit enhanced protein content and strong antioxidant activity (995 μmol Trolox·g–1). Additionally, they show significant antiamylase (92.81%) and antilipase (25.6%) activities. These findings highlight promising opportunities for developing functional breads aligning with a circular economy approach.

Authors

Institutions

Publication Details

Journal
ACS Food Science & Technology
Published
2025-04-09
DOI
https://doi.org/10.1021/acsfoodscitech.4c01008
Citations
1
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
1.12

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Repurposing Sunflower Seed Flour for Nutritional and Functional High-Protein Breads within a Circular Economy Framework

Fernanda G. Santos, Letícia S. Contieri, Diego Tetzner Fernandes, Luiz Guilherme Salvino da Silva et al.
1 citations
ACS Food Science & Technology
Food composition and properties
1.12
article

Repurposing Sunflower Seed Flour for Nutritional and Functional High-Protein Breads within a Circular Economy Framework

Fernanda G. Santos, Letícia S. Contieri, Diego Tetzner Fernandes, Luiz Guilherme Salvino da Silva, Etiene Valéria de Aguiar, Vanessa Dias Capriles, Maurı́cio A. Rostagno, Vitor L. Sanches, Leonardo M. de Souza Mesquita, Vitoria B. Togni, Beatriz Carolina A. Forli
article en
1 citations

Abstract

To repurpose and add value to a typically overlooked product, this study focused on fully optimizing the incorporation of partially defatted sunflower seed flour, a byproduct commonly produced during sunflower oil processing. Given its rich content of proteins and chlorogenic acid, this ingredient holds promise for inclusion in functional foods. A comprehensive chemical and proximal characterization of the formulations, coupled with a thorough assessment of the dough’s thermomechanical parameters and the resulting bread’s physical properties, was conducted. Our findings demonstrate the successful formulation of functional breads incorporating an aqueous extract of SF (SFE), where the rheological attributes are comparable with those of control breads formulated with wheat flour. These breads exhibit enhanced protein content and strong antioxidant activity (995 μmol Trolox·g–1). Additionally, they show significant antiamylase (92.81%) and antilipase (25.6%) activities. These findings highlight promising opportunities for developing functional breads aligning with a circular economy approach.

ACS Food Science & TechnologyVol. 5(4)
Universidade Estadual de Campinas (UNICAMP) (BR), Universidade Federal de São Paulo (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo
Zero hunger
Openalex Percentile: Top 25%
Food composition and properties
1.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.