Phenolic Compounds Characterization of Peel with Potential Antioxidant Activity.

The pequi () fruit peel, despite being frequently discarded, has a high content of bioactive compounds, and therefore has a high nutritional value. The present study aimed to explore the bioactivities in the pequi peel, particularly their potential health benefits at the level of antioxidant activity. The exploitation of this fruit could also present significant economic benefits and applications of pequi by-products would represent a reduction in waste, having a positive impact on the environment.

Evaluation of the total phenolic content, antioxidative capacity, and chemical fingerprint of Annona crassiflora Mart. Bioaccessible molecules.

Annona crassiflora Mart. (araticum) is an exotic fruit native to the Brazilian Cerrado that stands out for its phytochemical profile, especially for the presence of bioactive compounds. The health-related benefits promoted by these metabolites are widely explored.

An Integrative Approach to the Flavonoid Profile in Some Plants' Parts of the Genus.

The Annonaceae family is widely distributed in subtropical and tropical regions. Several species of this family are known for their pharmacological and beneficial properties to human health, mainly attributed to flavonoids. The objective of this work was to carry out an integrative review in order to identify the main flavonoids found in some plant parts belonging to the genus: araticum tree ( Mart.

Use of pulp, peel, and seed of Annona crassiflora Mart. in elaborating extracts for fingerprint analysis using paper spray mass spectrometry.

The Brazilian cerrado is considered one of the most critical biomes in the world. Araticum (Annona crassiflora Mart.) is a native plant from the Brazilian cerrado, abundant in nutrients and highly energetic.

Modelling Processes and Products in the Cereal Chain.

In recent years, modelling techniques have become more frequently adopted in the field of food processing, especially for cereal-based products, which are among the most consumed foods in the world. Predictive models and simulations make it possible to explore new approaches and optimize proceedings, potentially helping companies reduce costs and limit carbon emissions. Nevertheless, as the different phases of the food processing chain are highly specialized, advances in modelling are often unknown outside of a single domain, and models rarely take into account more than one step.