Fractionation of pequi pulp oil and modeling by thermodynamic phase equilibrium theory.

This study focused on evaluating the fractionation of pequi oil and modeling the process using solid-liquid equilibrium (SLE) theory. The pequi oil was comprehensively characterized, including its fatty acid (FA) and acylglycerol (AG) profiles, moisture content, acidity, carotenoid levels, and thermal behavior. Low acidity and partial acylglycerols content, along with its TAG profile (mainly OOP, POP, OOO and PPP) and melting behavior proved that, in fact, this oil is quite suitable for fractionation.

Prediction of total lipids and fatty acids in black soldier fly (Hermetia illucens L.) dried larvae by NIR-hyperspectral imaging and chemometrics.

The unique fatty acid composition of BSF larvae oil makes it suitable for various applications, including use in animal feed, aquaculture, biodiesel production, biomaterials, and the food industry. Determination of BSF larvae composition usually requires analytical methods with chemicals, thus needing emerging techniques for fast characterization of its composition. In this study, Near Infrared Hyperspectral Imaging (NIR-HSI) (928 - 2524 nm) coupled with chemometrics was applied to predict the lipid content and fatty acid composition in intact black soldier fly (BSF) larvae.

Comprehensive analysis of Amazonian oil and fats with different fatty composition: Murumuru fat (Astrocaryum murumuru), cupuassu fat (Theobroma grandiflorum), and pracaxi oil (Pentaclethera macroloba).

Amazon is the largest Brazilian biome and has a vast diversity of oilseed species. This work highlighted three of its natural riches, the murumuru (Astrocaryum murumuru) fat, cupuassu (Theobroma grandiflorum) fat, and pracaxi (Pentaclethera macroloba) oil obtained from the seeds of the fruits of these species. It was aimed at a comprehensive evaluation of the chemical and physicochemical properties of these Amazonian products, deepening the knowledge on their quality parameters for products and processes design.

Conilon coffee: A critical review and bibliometric analysis for the agri-food industry.

This study includes a bibliometric analysis and literature review on Conilon coffee and its relevant aspects for the food industry, focusing on its chemical constituents, the application of fermentation as a processing method, and the reuse of waste generated during processing. Relevant articles were selected through a bibliometric analysis of titles indexed in the Web of Science (WoS) and Google Scholar databases. Conilon coffee cultivation, especially in the Brazilian states of Espírito Santo, Rondônia and Bahia, has played a growing role in the global economy, with research focused on strategies to increase productivity, reduce costs and improve nutritional and bioactive quality.

On the compression of neural networks using ℓ-norm regularization and weight pruning.

Despite the growing availability of high-capacity computational platforms, implementation complexity still has been a great concern for the real-world deployment of neural networks. This concern is not exclusively due to the huge costs of state-of-the-art network architectures, but also due to the recent push towards edge intelligence and the use of neural networks in embedded applications. In this context, network compression techniques have been gaining interest due to their ability for reducing deployment costs while keeping inference accuracy at satisfactory levels.

Solid-liquid equilibria of triacylglycerols and vitamin E mixtures.

Oils and fats are important ingredients for food and pharmaceutical industries. Their main compounds, such as triacylglycerols (TAG), are responsible for determining their physical properties during food storage and consumption. Lipid-rich foods are also sources of minority compounds, which is the case of vitamin E, mainly represented by (±)-α-tocopherol.

Deep eutectic solvents as an alternative for extraction of flavonoids from soybean (Glycine max (L) Merrill) and okara: An experimental and computational approach based on COSMO-SAC model.

In this study, different Deep Eutectic Solvents based on choline chloride ([Ch]Cl) with carboxylic acids, sugars, and glycerol, were investigated as alternative solvents for the extraction of flavonoids from soybean and okara. Initially, the COSMO-SAC was investigated as a tool in solvent screening for the extraction of flavonoids. Experimental validation was performed using total flavonoid analysis with the solvents that showed greater interaction with the solutes.

Species Involved in Decline in Portugal.

Recent field surveys conducted in five common alder ecosystems in Portugal have shown the occurrence of severe canopy dieback, bleeding canker and root rot symptoms indicative of infections. Isolations from symptomatic tissues, rhizosphere and water samples yielded a total of 13 species belonging to 6 phylogenetic clades, including (13 isolates), (10), (9), (6), (6), (4), (4), (3), (2), (2), (2), (1) and (1). Results of the pathogenicity test confirmed the complex aetiology of common alder decline and the additional risk posed by to the riparian habitats in Portugal.

Perception of Brazilian medical students toward organ donation.

Objective: Brazil ranks second in gross numbers of kidney and liver transplantations, but deceased organ donation is still far below the national demand for organs. Apart from a high family refusal rate, another significant barrier is healthcare workers' inappropriate knowledge concerning organ donation and transplantation. Since most of them have recently graduated from university, this study aimed to evaluate the awareness and attitudes of medical students concerning organ donation.

Extraction optimization, biological activities, and application in O/W emulsion of deep eutectic solvents-based phenolic extracts from olive pomace.

This study evaluated the phenolic compound extraction from olive pomace with deep eutectic solvents (DES) prepared with choline chloride ([Ch]Cl) and four (poly-)carboxylic acids. Temperature, water addition in the solvent, and solid-liquid ratio were evaluate in total phenolic content and antioxidant activity of extracts obtained with DES and ethanol, as control. Moreover, the antimicrobial activities of solvents and extracts were evaluated.

Experimental composite containing silicon dioxide-coated silver nanoparticles for orthodontic bonding: Antimicrobial activity and shear bond strength.

Objective: This study aimed to investigate the antimicrobial activity and shear bond strength (SBS) of orthodontic brackets to bovine enamel using experimental composites with different concentrations of silicon dioxide-coated silver nanoparticles (Ag@SiO2 NPs).

Methods: Fifty bovine incisors were divided into five groups according to the composite (n = 10): G1 - Control Group (Transbond XT Resin), G2 - Experimental composite without Ag@SiO2 NPs; G3 - Experimental composite with 0.5% of Ag@SiO2 NPs; G4 - Experimental composite with 1% of Ag@SiO2 NPs; G5 - Experimental composite with 3% of Ag@SiO2 NPs.

Evaluation of thyroid nodules in the Brazilian Public Health Care System, Supplementary Health System, and Private Health System in the northeastern region of the State of São Paulo.

Objective: To obtain data about the evaluation of thyroid nodules (TNs) in the northeastern of the State of São Paulo, compared by health care type, and measure the performance of cytology as a screening test for thyroid cancer (TC).

Methods: We collected data of 597 patients treated in the Brazilian public health care system (SUS), supplementary health (SH) and in private health system (PHS) in 2014. A total of 803 TNs were aspirated, and 125 patients underwent surgery.

Nasosinusal myiasis in elderly patient with mucocutaneous leishmaniosis.

Background: Myiasis is a condition in which flies are attracted to infected and/or necrotic tissues and deposit eggs that hatch into larvae. It may bring serious functional and aesthetic sequelae when involves nasal and parasinusal cavities; however, there is a lack of such reports in the literature.

Methods: We present and briefly discuss herein the clinical and surgical management of nasosinusal myiasis in an elderly patient previously affected by mucocutaneous leishmaniosis.

Phase equilibrium and physical properties of biobased ionic liquid mixtures.

Protic ionic liquid crystals (PILCs) obtained from natural sources are promising compounds due to their peculiar properties and sustainable appeal. However, obtaining PILCs with higher thermal and mechanical stabilities for product and process design is in demand and studies on such approaches using this new IL generation are still scarce. In this context, this work discloses an alternative way for tuning the physicochemical properties of ILCs by mixing PILs.

Phase Behavior and Physical Properties of New Biobased Ionic Liquid Crystals.

Protic ionic liquids (PILs) have emerged as promising compounds and attracted the interest of the industry and the academy community, due to their easy preparation and unique properties. In the context of green chemistry, the use of biocompounds, such as fatty acids, for their synthesis could disclose a possible alternative way to produce ILs with a low or nontoxic effect and, consequently, expanding their applicability in biobased processes or in the development of bioproducts. This work addressed efforts to a better comprehension of the complex solid-[liquid crystal]-liquid thermodynamic equilibrium of 20 new PILs synthesized by using fatty acids commonly found in vegetable oils, as well as their rheological profile and self-assembling ability.

LLE experimental data, thermodynamic modeling and sensitivity analysis in the ethyl biodiesel from macauba pulp oil settling step.

The aim of this study was to obtain experimental data related to liquid–liquid equilibrium (LLE) of systems containing glycerol + ethanol + ethyl biodiesel from macauba pulp oil, perform thermodynamic modeling and simulate the settling step of this biodiesel using simulation software. Binary interaction parameters were adjusted for NRTL and UNIQUAC models. The UNIFAC-LLE and UNIFAC-Dortmund models were used to predict the LLE of the systems.