Instituto Federal do Paraná

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Instituto Federal do Paraná
Short name
IFPR
Country, city
Brazil, Curitiba
Publications
793
Citations
12 180
h-index
48
Top-3 organizations
Federal University of Parana
Federal University of Parana (153 publications)
University of São Paulo
University of São Paulo (73 publications)
Top-3 foreign organizations
University of Kentucky
University of Kentucky (5 publications)
Université Laval
Université Laval (4 publications)

Most cited in 5 years

Pereira R.M., Bertolini D., Teixeira L.O., Silla C.N., Costa Y.M.
2020-10-01 citations by CoLab: 369 Abstract  
The COVID-19 can cause severe pneumonia and is estimated to have a high impact on the healthcare system. The standard image diagnosis tests for pneumonia are chest X-ray (CXR) and computed tomography (CT) scan. CXR are useful in because it is cheaper, faster and more widespread than CT. This study aims to identify pneumonia caused by COVID-19 from other types and also healthy lungs using only CXR images. In order to achieve the objectives, we have proposed a classification schema considering the multi-class and hierarchical perspectives, since pneumonia can be structured as a hierarchy. Given the natural data imbalance in this domain, we also proposed the use of resampling algorithms in order to re-balance the classes distribution. Our classification schema extract features using some well-known texture descriptors and also using a pre-trained CNN model. We also explored early and late fusion techniques in order to leverage the strength of multiple texture descriptors and base classifiers at once. To evaluate the approach, we composed a database, named RYDLS-20, containing CXR images of pneumonia caused by different pathogens as well as CXR images of healthy lungs. The classes distribution follows a real-world scenario in which some pathogens are more common than others. The proposed approach achieved a macro-avg F1-Score of 0.65 using a multi-class approach and a F1-Score of 0.89 for the COVID-19 identification in the hierarchical classification scenario. As far as we know, we achieved the best nominal rate obtained for COVID-19 identification in an unbalanced environment with more than three classes. We must also highlight the novel proposed hierarchical classification approach for this task, which considers the types of pneumonia caused by the different pathogens and lead us to the best COVID-19 recognition rate obtained here.
Bordon K.D., Cologna C.T., Fornari-Baldo E.C., Pinheiro-Júnior E.L., Cerni F.A., Amorim F.G., Anjolette F.A., Cordeiro F.A., Wiezel G.A., Cardoso I.A., Ferreira I.G., Oliveira I.S., Boldrini-França J., Pucca M.B., Baldo M.A., et. al.
Frontiers in Pharmacology scimago Q1 wos Q1 Open Access
2020-07-24 citations by CoLab: 188 PDF Abstract  
Animal poisons and venoms are comprised of different classes of molecules displaying wide-ranging pharmacological activities. This review aims to provide an in-depth view of toxin-based compounds from terrestrial and marine organisms used as diagnostic tools, experimental molecules to validate postulated therapeutic targets, drug libraries, prototypes for the design of drugs, cosmeceuticals and therapeutic agents. However, making these molecules applicable requires extensive preclinical trials, with some applications also demanding clinical trials, in order to validate their molecular target, mechanism of action, effective dose, potential adverse effects, as well as other fundamental parameters. Here we go through the pitfalls for a toxin-based potential therapeutic drug to become eligible for clinical trials and marketing. The manuscript also presents an overview of the current picture for several molecules from different animal venoms and poisons (such as those from amphibians, cone snails, hymenopterans, scorpions, sea anemones, snakes, spiders, tetraodontiformes, bats and shrews) that have been used in clinical trials. Advances and perspectives on the therapeutic potential of molecules from other underexploited animals, such as caterpillars and ticks, are also reported. The challenges faced during the lengthy and costly preclinical and clinical studies and how to overcome these hindrances are also discussed for that drug candidates going to the bedside. It covers most of the drugs developed using toxins, the molecules that have failed and those that are currently in clinical trials. The article presents a detailed overview of toxins that have been used as therapeutic agents, including their discovery, formulation, dosage, indications, main adverse effects and pregnancy and breastfeeding prescription warnings. Toxins in diagnosis, as well as cosmeceuticals and atypical therapies (bee venom and leech therapies) are also reported. The level of cumulative and detailed information provided in this review may help pharmacists, physicians, biotechnologists, pharmacologists and scientists interested in toxinology, drug discovery and development of toxin-based products.
Delorme M.M., Guimarães J.T., Coutinho N.M., Balthazar C.F., Rocha R.S., Silva R., Margalho L.P., Pimentel T.C., Silva M.C., Freitas M.Q., Granato D., Sant’Ana A.S., Duart M.C., Cruz A.G.
2020-08-01 citations by CoLab: 169 Abstract  
Background Thermal processing is the most common decontamination method used in the dairy industry to ensure food safety and extend shelf life. However, due to the increased consumer demand for more natural and healthier products, nonthermal technologies have been intensively studied. Irradiation with shortwave ultraviolet light (UV-C) offers some technological advantages due to its low maintenance and installation costs, minimal energy use, and food preservation without some undesirable effects of heat treatments. Scope and approach: This review aims to describe the theoretical fundamentals of UV-C radiation and approaching the critical processing factors involved. Also, it describes the mechanisms of microbial inactivation and provides an overview of the effects on dairy product quality, considering microbiological, physicochemical and sensory aspects. Key findings and conclusions UV-C radiation can be considered an effective method for inactivating pathogenic and spoilage microorganisms in milk and dairy products by forming lesions in DNA and/or damage in the cellular enzyme activity and cytoplasmatic membrane integrity. The efficiency of the process is dependent on the process parameters (time of exposure, UV dose, wavelength and UV light source), product type (chemical composition, viscosity, turbidity, opacity and roughness), equipment (conformation and geometry), and microorganism characteristics (specie, strain, initial count, growth phase, and recovery conditions). When optimum conditions are applied, there is no impact on the physicochemical, nutritional and sensory aspects. In conclusion, UV-C can be considered an environmental-friendly emergent non-thermal technology for decontamination of dairy products, presenting low costs and efficiency in the maintenance of the quality parameters of dairy products.
Teixeira L.O., Pereira R.M., Bertolini D., Oliveira L.S., Nanni L., Cavalcanti G.D., Costa Y.M.
Sensors scimago Q1 wos Q2 Open Access
2021-10-27 citations by CoLab: 97 PDF Abstract  
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation. Here, we demonstrate the impact of lung segmentation in COVID-19 identification using CXR images and evaluate which contents of the image influenced the most. Semantic segmentation was performed using a U-Net CNN architecture, and the classification using three CNN architectures (VGG, ResNet, and Inception). Explainable Artificial Intelligence techniques were employed to estimate the impact of segmentation. A three-classes database was composed: lung opacity (pneumonia), COVID-19, and normal. We assessed the impact of creating a CXR image database from different sources, and the COVID-19 generalization from one source to another. The segmentation achieved a Jaccard distance of 0.034 and a Dice coefficient of 0.982. The classification using segmented images achieved an F1-Score of 0.88 for the multi-class setup, and 0.83 for COVID-19 identification. In the cross-dataset scenario, we obtained an F1-Score of 0.74 and an area under the ROC curve of 0.9 for COVID-19 identification using segmented images. Experiments support the conclusion that even after segmentation, there is a strong bias introduced by underlying factors from different sources.
Pereira R.M., Costa Y.M., Silla Jr. C.N.
Neurocomputing scimago Q1 wos Q1
2020-03-01 citations by CoLab: 79 Abstract  
A large variety of problems are multi-labeled, which made the Multi-Label Classification field become an active topic in the machine learning community. However, real world problems tend to be imbalanced, meaning that some classes may have more samples than others. Learning from imbalanced datasets is a challenging task and for that has attracted the attention of researchers that have proposed some resampling algorithms to address this problem. This work presents two main contributions: A new resampling algorithm for multi-label classification problems named MLTL - Multi-Label Tomek Link, which is based on the standard Tomek Link resampling algorithm; A multi-label imbalanceness API for the Mulan framework. Results in seven well-known datasets showed that MLTL is a competitive technique when compared to other multi-label resampling methods from the literature.
Hernandez‐Ortega B., Ferreira I.
Psychology and Marketing scimago Q1 wos Q1
2021-04-21 citations by CoLab: 72 Abstract  
Smart voice assistants (SVAs) have emerged as new artificial intelligence service platforms. They have the capacity to act like actual human assistants and modify traditional forms of human–computer interactions. So, consumers relate to their SVA as though it was a person, despite knowing that they are interacting with a machine. Based on the stimulus-organism-response framework, this paper examines feelings of love that consumers develop for SVAs when they are interacting. It proposes that these feelings act as the psychological mechanism to transmit the effect of consumers' experiences with the technology (i.e., smart experiences) on their service loyalty. Feelings of love are conceptualized following the triangular theory of love that considers three components: passion, intimacy, and commitment. Service loyalty refers to consumers' intentions to continue using SVAs in the future and to recommend SVAs to other people through physical and/or electronic word of mouth communication. The results show that smart experiences influence consumers' passion for technology, while passion explains their intimacy and commitment. Consumer intimacy and commitment for SVAs lead to service loyalty. Therefore, this paper contributes to research focusing on the importance of consumers' feelings for SVAs and shedding light on the process that drives to service loyalty.
Sato D.M., De Freitas S.C., Barddal J.P., Scalabrin E.E.
ACM Computing Surveys scimago Q1 wos Q1
2021-10-08 citations by CoLab: 68 Abstract  
Concept drift in process mining (PM) is a challenge as classical methods assume processes are in a steady-state, i.e., events share the same process version. We conducted a systematic literature review on the intersection of these areas, and thus, we review concept drift in PM and bring forward a taxonomy of existing techniques for drift detection and online PM for evolving environments. Existing works depict that (i) PM still primarily focuses on offline analysis, and (ii) the assessment of concept drift techniques in processes is cumbersome due to the lack of common evaluation protocol, datasets, and metrics.
Rocha R.S., Silva R., Guimarães J.T., Balthazar C.F., Pimentel T.C., Neto R.P., Tavares M.I., Esmerino E.A., Freitas M.Q., Cappato L.P., Calvacanti R.N., Rodrigues F.N., Raices R.S., Silva M.C., Cruz A.G.
Food Research International scimago Q1 wos Q1
2020-05-01 citations by CoLab: 58 Abstract  
The use of ohmic heating (OH, 4, 8, or 12 V/cm, 72–75 °C/15 s) for pasteurization of milk intended for the manufacture of Minas Frescal cheese was investigated. The cheeses were characterized for the gross composition, bioactive compounds (antioxidant, antihypertensive and antidiabetic activities), fatty acid profile, rheological parameters, volatiles profile, and sensory acceptance. OH decreased the elasticity, hardness, and firmness while improved the sensory acceptance of Minas Frescal cheese. In addition, higher antioxidant, antihypertensive and antidiabetic activities values as well as higher concentrations of short, medium and long-chain fatty acids were observed. Overall, OH can be considered a suitable technology to be used in milk for the Minas Frescal cheese processing.
Bruno Romanini E., Misturini Rodrigues L., Finger A., Perez Cantuaria Chierrito T., Regina da Silva Scapim M., Scaramal Madrona G.
Food Chemistry scimago Q1 wos Q1
2021-02-01 citations by CoLab: 56 Abstract  
• Ultrasound increase the extraction of phenolic compounds from grape pomace. • The peel of the hybrid cultivar BRS Violet is high polyphenol content. • Cyanidin chloride was identified for the first time in the BRS Violet grape variety. • Alginate was used as an encapsulating agent for grape skin phenolic compounds. • Half-life of the grape alginate-Ca 2+ capsules is higher in the light absence. Objective of this study was to recover bioactive compounds from grape pomace, and to investigate the effect of thermosonication in the rate of aqueous extraction. The best extraction for phenolics and total anthocyanins, was at 55 °C, amplitude of 40% and 6 min of treatment. The ultrasound assisted extraction showed superior results when compared to conventional extraction, extraction averages were: 11% total phenolic compounds, 25% total anthocyanins. The extract obtained by ultrasound showed higher antioxidant capacity when compared to the one obtained by conventional extraction. The alginate-Ca 2+ capsules were stable when stored in the presence or absence of light, with a reduced t1/2 (absence of light), indicating longer half-life in the absence of light. The use of thermosonication favored greater amounts of bioactive compounds in the grape pomace aqueous extract, and this encapsulated extract in alginate-Ca 2+ shows good stability and less degradation in the light absence.
Farah J.S., Cavalcanti R.N., Guimarães J.T., Balthazar C.F., Coimbra P.T., Pimentel T.C., Esmerino E.A., Duarte M.C., Freitas M.Q., Granato D., Neto R.P., Tavares M.I., Calado V., Silva M.C., Cruz A.G.
Food Control scimago Q1 wos Q1
2021-03-01 citations by CoLab: 54 Abstract  
Differential scanning calorimetry (DSC) coupled with machine-learning tools (random forest, gradient boosting machine, and multilayer perceptron, RF, GBM, MLP) were used to detect adulteration of raw bovine milk (formaldehyde, whey, urea, and starch). Adulterated samples presented a different DSC profile from raw milk. GBM and MLP were able to classify 100% of adulterated samples, whereas RF showed optimal performance with recognition and prediction capability of 100% and 88.5%, respectively. Overall, peak temperature of crystallization was the most important discriminating predictor for GBM and RF models, whereas peak temperature of boiling followed by onset temperature of crystallization and onset temperature of boiling were the most important predictors for MLP model. The detection of adulteration in milk has a multidimensional approach and DSC associated with machine-learning methods present an interesting perspective with practical potential to be adopted by the dairy industry.
Scamati V., Cantorani J.R., Picinin C.T.
Ensaio scimago Q3 Open Access
2025-03-01 citations by CoLab: 0 Abstract  
Resumo Indivíduos com transtorno do espectro autista (TEA) enfrentam diversas barreiras em seu desenvolvimento cognitivo, principalmente nas interações sociais cotidianas. A aprendizagem desses indivíduos não segue um padrão convencional, pois são frequentemente diagnosticados com déficits que podem afetar a aquisição de conhecimento, como dificuldades de comunicação e socialização. Esta revisão sistemática tem como objetivo investigar e aprofundar a compreensão dos fatores que influenciam a aprendizagem de indivíduos com TEA, considerando uma abordagem que articule as características inerentes ao espectro autista com a configuração do ambiente escolar. O Methodi Ordinatio foi aplicado para filtrar e selecionar o corpus documental, resultando em uma seleção de 15 artigos. A análise dos dados foi realizada por meio de análise bibliométrica, combinando o software R com o pacote Bibliometrix. As evidências sugerem a importância de discutir fatores que precisam ser compreendidos na interação entre déficits relacionados ao TEA e o ambiente escolar, e que são fundamentais para facilitar o avanço dos processos cognitivos desses indivíduos.
Bezerra M.L., Gouveia-Nhanca M., da Veiga Dutra M.L., Batista K.S., de Araújo A.N., dos Santos Lima M., Ribeiro M.D., Silva A.S., Alves A.F., Pimentel T.C., Magnani M., de Souza Aquino J.
Frontiers in Nutrition scimago Q1 wos Q2 Open Access
2025-02-06 citations by CoLab: 2 PDF Abstract  
Background and aimsObesity is a disease associated with increased oxidative stress in humans and animals, and consumption of antioxidant compounds such as polyphenols can minimise it. These compounds are abundant in malícia (Mimosa quadrivalvis L.) honey produced by stingless bees. This study aimed to evaluate whether administration of Mimosa quadrivalvis L. honey to obese rats could reduce oxidative stress in vital organs through phenolic compound action.MethodsWistar rats (228 ± 14.69 g) were randomly divided into two groups: a healthy group (HG, n = 20) fed a control diet and an obese group (OG, n = 20) fed a cafeteria diet for the initial 8 weeks. After this period, these groups were again randomised into four subgroups: healthy (HG, n = 10), obese (OG, n = 10), healthy with malícia honey administration (1,000 mg/kg; HGH, n = 10), and obese with malícia honey administration (1,000 mg/kg; OGH, n = 10) for the final 8 weeks fed the previously mentioned diets. The rats were euthanised at the end of the experiment to collect brain, gut, kidney, and liver tissues to evaluate parameters related to oxidative stress and phenolic profile.ResultsThe administration of malícia honey reduced energy intake and weight gain in the OGH in comparison to the OG. Total antioxidant capacity increased in the brain, liver, and gut in both groups treated with honey compared to respective controls. Lipid peroxidation decreased in the brain, gut, and kidney of the OGH. Both treated groups showed elevated phenolic compound deposition, including catechin, procyanidins, and flavonoids, across all organs. Specifically, the brain in the OGH showed greater procyanidin B2 and gallic acid deposition; the liver showed increased procyanidin B1 and B2, epicatechin, and myricetin concentrations; the gut showed higher procyanidin B2 and kaempferol 3-glucoside concentrations; and the kidneys had increased catechin, procyanidin B1 and B2, and gallic acid deposition compared to the OG.ConclusionHistologically, the OGH displayed reduced neuronal damage and prevention of hepatic steatosis induced by the cafeteria diet. Malícia honey effectively reduced oxidative stress via modulation of phenolic compounds in the brain, gut, kidney, and liver of cafeteria diet-induced obese rats.
Vendramini C.F., de Campos T.A., da Silva N.M., Matiucci M.A., Alves E.S., dos Santos P.D., Barão C.E., de Oliveira O., Cardozo-Filho L., Feihrmann A.C.
Processes scimago Q2 wos Q2 Open Access
2025-02-02 citations by CoLab: 0 PDF Abstract  
This study utilized the ultrasound-assisted extraction method to obtain an extract rich in phenolic compounds from the leaves of Tricosanthes cucumerina. The optimization of the experimental design identified the optimal extraction conditions: a temperature of 40 °C, a duration of 6.25 min, and an amplitude of 40%. Under these conditions, the extraction yielded the highest levels of phenolic compounds, measuring 262.54 mg of GAE (gallic acid equivalent) per gram. Further analysis of these extracts using electrospray ionization mass spectrometry (ESI-MS) demonstrated that ultrasound extraction increased the availability of bioactive compounds, such as p-coumaric acid, ferulic acid, and caffeic acid. The resulting extract was microencapsulated with sodium alginate as the wall material and then lyophilized to enhance the shelf life and stability of the phenolic compounds. The thermogravimetric analysis confirmed that the microcapsules exhibited thermal stability, retaining their properties at temperatures up to 250 °C. Additionally, Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) analyses corroborated the effectiveness of the encapsulation process. Consequently, the ultrasound-assisted extraction of T. cucumerina leaves is a promising alternative for incorporating bioactive compounds into food products, nutraceuticals, and cosmetics, thus benefiting consumers.
Sá C.P., Pagani R.N., Przybysz A.L., Souza F.F., Resende D.N., Kovaleski J.L.
Sustainability scimago Q1 wos Q2 Open Access
2025-01-26 citations by CoLab: 0 PDF Abstract  
Smart cities leverage information and communication technologies to enhance urban life quality, essential in densely populated environments requiring comprehensive planning. A critical area in urban settings is food production and delivery, where effective management becomes vital. New technologies can assist, but require models that support innovative production and commercialization methods. This study proposes an integration model between family farming—producers of organic food—and urban areas—consumers of these products. The model focuses on the management of organic food production and delivery to meet urban demands, serving as a tool in the transformation of these areas into smart municipalities. Additionally, this study suggests an alternative certification method for organic food production within family farming. A systematic literature review was conducted using the Methodi Ordinatio methodology. Content analysis of the selected articles identified strategies cities can adopt to promote organic certification, emphasizing transparent governance, public food procurement policies, and participatory certification systems. The proposed model aims to reduce bureaucracy and improve family farmers’ income, aligning with several Sustainable Development Goals: SDG 2 (Zero Hunger), SDG 8 (Decent Work and Economic Growth), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), SDG 15 (Life on Land), and SDG 17 (Partnerships for the Goals).
de Paula Correia D.V., Rodak B.W., Machado H.A., Lopes G., Freitas D.S.
Plant Science scimago Q1 wos Q1
2024-12-01 citations by CoLab: 0 Abstract  
The use of nickel (Ni) in agriculture may represent one of the most significant cases of plant hormesis ever reported, as plants exhibit both positive and negative responses depending on the level of exposure to this element. For a more comprehensive understanding of this effect, the next step is to conduct studies on the dynamics of pre-existing chemical elements in the system (ionomic profile), especially when introducing Ni as a novel nutrient for the plants. This micronutrient is of particular interest to the fertilization of leguminous plants, such as the soybean, due to its additional effects on the biological nitrogen fixation process. This study thus evaluated the influence of five doses of Ni (0.0, 0.5, 1.0, 3.0, and 9.0mg of Ni kg
dos Santos Lima M., da Silva Monteiro L.I., de Brito Araújo Carvalho A.J., Bastos D.C., Pimentel T.C., Magnani M.
Food Chemistry scimago Q1 wos Q1
2024-12-01 citations by CoLab: 3 Abstract  
Reliable analytical methods are the basis for the elucidation of phenolic compounds in foods. This study aimed to optimize and validate a method for determining 42 phenolics using reverse-phase (RP) high-performance liquid chromatography (HPLC) coupled to diode-array-detector-DAD. The performance of two RP columns was evaluated. The 150x4.6 mm 3-μm column showed superior separation quality, whereas 35 of the 42 phenolics showed a separation resolution ≥1.5. The method's linearity, precision (coefficient variation< 3.09%), recovery (87.5-103.2%), specificity, limits of detection (0.04-0.25 mg/L), and quantification (0.06-0.25 mg/L) had acceptable ranges. Thirty phenolics were quantified in Citrus peels, mainly flavanones, flavanols, flavonols, and phenolic acids, highlighting the high values of hesperidin (535-35070 mg/kg) and naringin (26-36466 mg/kg). Lemon peels named 'Lisboa,' 'Thaiti,' 'Thaiti-2000', and 'Thaiti-2001' presented the main phenolics associated with antioxidant capacity. The presented method was robust for determining 42 phenolic compounds, offering a new approach for bioactive compound quantification in food matrices.
Santana L.D., Ramos T.H., Haeffner R., Brey C., Pedrolo E., Ziesemer N.D.
2024-11-11 citations by CoLab: 0 Abstract  
RESUMO Objetivo: identificar a prevalência e os fatores associados aos transtornos mentais e comportamentais entre trabalhadoras/es de enfermagem no contexto da COVID-19. Método: estudo de corte transversal do tipo web survey, realizado entre outubro de 2021 e janeiro de 2022, com 1.073 profissionais de enfermagem. Aplicou-se um instrumento com variáveis sociodemográficas, ocupacionais e autoavaliação de transtornos mentais e comportamentais para a coleta de dados. A análise foi realizada de forma descritiva, com medidas de frequência absoluta e relativa, inferencial univariada e múltipla com Regressão de Poisson. Resultados: os transtornos mentais e comportamentais, referidos por 50,8% dos participantes, apresentaram associação significativa com sexo feminino, tempo na profissão maior que 10 anos, mais que dois vínculos trabalhistas e com autoavaliação da saúde como ruim. Conclusão: Verificou-se alta prevalência de transtornos mentais e comportamentais autorreferidos na amostra. O tempo de atuação na profissão e o número de vínculos empregatícios foram variáveis fortemente associadas ao desfecho. Estudos desta natureza são essenciais para auxiliar no desenvolvimento de estratégias eficazes para a redução dos fatores de risco à saúde do trabalhador, sobretudo aqueles de origem ocupacional passíveis de modificação.
Santana L.D., Ramos T.H., Haeffner R., Brey C., Pedrolo E., Ziesemer N.D.
2024-11-11 citations by CoLab: 0 Abstract  
ABSTRACT: Objective: to identify the prevalence of mental and behavioral disorders among nursing workers in the context of COVID-19 and its associated factors. Method: cross-sectional web survey carried out between October 2021 and January 2022, with 1.073 nursing professionals. An instrument with sociodemographic and occupational variables, and a self-assessment of mental and behavioral disorders was applied to collect data. A descriptive analysis with absolute and relative frequencies and univariate and multivariate inferential analyses using Poisson Regression were conducted. Results: mental and behavioral disorders were reported by 50.8% of participants, showing a significant association with the female sex, more than 10 years in the profession, more than two employment contracts, and poor self-rated health. Conclusion: There was a high prevalence of self-reported mental and behavioral disorders in the sample. The length of time working in the profession and the number of employment relationships were variables strongly associated with the outcome. Studies like these are essential to assist in the development of effective strategies for reducing risk factors to workers' health, especially those of occupational origin that can be modified.
Santos A.J., Serafim A.C., Siqueira A.D., Teixeira J.A., de Souza A.R., Morgon N.H., Siqueira A.B.
Journal of Molecular Structure scimago Q2 wos Q2
2024-11-01 citations by CoLab: 0 Abstract  
In this work, losartan compounds with trivalent ions La(III), Ce(III), Pr(III), Nd(III), Sm(III), and Eu(III) were synthesized in the solid-state. The thermal and spectroscopic study of the compounds was performed using TG-DSC, FTIR, DRX, and evolved gas analysis (EGA) by TG-DSC/FTIR. The theoretical and experimental spectroscopic data suggested the possible modes of coordination of the ligand with the metal ions by the tetrazole ring. Thermogravimetric analyses provide information on the thermal stability, water coordination, and stoichiometry of the compounds. The minimum formulae of the compounds is [Ln(Los)3(H2O)x], where Ln=La and Ce/x = 7; and Pr, Nd, Sm, Eu/x = 6. TG-DSC coupled to FTIR in an air atmosphere suggested the release of H2O, CO2, CO, MeOH, NH3, and -NCO during the thermal decomposition of losartan from lanthanides. Amorphous compounds were obtained, and their poor solubility suggests their potential use as prodrugs in the solid-state.
Caldas N.M., de Faria L.V., Batista A.G., Alves A.O., Silva S.C., Peixoto D.A., Nossol E., Rocha D.P., Semaan F.S., Pacheco W.F., Dornellas R.M.
Electrochimica Acta scimago Q1 wos Q1
2024-11-01 citations by CoLab: 4 Abstract  
Tailor-made conductive filaments have been an innovative approach to additively manufacturing affordable and enhanced electrochemical sensors targeted for the proposed application. In this context, carbon-metal composite materials exhibit relevant conductive and catalytic properties, while a polylactic acid (PLA) matrix provides printable characteristics and adds a sustainable aspect to the device. Thus, a new eco-friendly composite material using graphite (G) and silver nanoparticles (AgNPs) dispersed within a PLA matrix was proposed here. Efforts were directed towards selecting the best proportion between materials, considering the compromise between printability, mechanical stability, and electrochemical response. The electrodes were printed using a 3D pen, an user-friendly and accessible tool. Pyridoxine (PYR), a B-complex vitamin, was selected as a proof-of-concept analyte. In-depth electrochemical studies demonstrated that AgNPs drastically improved the electrochemical response of the sensor, achieving a 3.6-fold increase in charge transfer, if compared to the AgNPs-free electrode. The developed 3D-printed G/AgNPs/PLA sensor was assembled onto a 3D-printed BIA cell, and rapid amperometric measurements were performed for the determination of PYR. Utilizing the AgNPs-based sensor, a wide linear range (0.1 to 400 µmol L−1), and a low detection limit (0.03 µmol L−1) with suitable precision (RSD < 5.7 %) were obtained. Furthermore, selectivity was achieved in the presence of excipient compounds and other B-complex vitamins. The method was applied to pharmaceutical samples, and the results were validated against the reference method (UV–vis spectrometry). Therefore, it can be stated that our analytical approach is accurate and reliable, showing promise for implementation in routine analyses. In addition, our conductive filament material is sustainable and accessible to laboratories with minimal infrastructure aimed at producing high-performance electrochemical sensors.
Mafaldo Í.M., Araújo L.M., Cabral L., Barão C.E., Noronha M.F., Fink J.R., de Albuquerque T.M., dos Santos Lima M., Vidal H., Pimentel T.C., Magnani M.
Food Research International scimago Q1 wos Q1
2024-11-01 citations by CoLab: 1 Abstract  
The purpose of this study was to investigate the potential prebiotic properties of cassava cultivars from Northeast [Doce mel and Ourinho (OUR)] and South [Baiana, and IPR-Upira (UPI)] of Brazil in in vitro fermentation systems. The cultivars were evaluated for their chemical composition, and, then, two cultivars were selected (OUR and UPI) and subjected to in vitro gastrointestinal digestion to assess the effects on probiotics Lacticaseibacillus casei, Lactobacillus acidophilus, and Bifidobacterium animalis growth, metabolic activity, and prebiotic activity scores. Finally, the impact of cassava cultivars on the fecal microbiota of celiac individuals was evaluated using the 16S rRNA gene. Cassava cultivars have variable amounts of fiber, resistant starch, fructooligosaccharides (FOS), organic acids, phenolic compounds, and sugars, with OUR and UPI cultivars standing out. OUR and UPI cultivars contributed to the increase in the proliferation rates of L. casei (0.04-0.19), L. acidophilus (0.34-0.27), and B. animalis (0.10-0.03), resulting in more significant effects than FOS, an established prebiotic compound. Also, the positive scores of prebiotic activities with probiotic strains indicate OUR and UPI's ability to stimulate beneficial bacteria while limiting enteric competitors selectively. In addition, OUR and UPI promoted increased relative abundance of Bifidobacteriaceae, Enterococcaceae, and Lactobacillaceae in the fecal microbiota of celiac individuals while decreased Lachnospirales, Bacteroidales, and Oscillospirales. The results show that cassava cultivars caused beneficial changes in the composition and metabolic activity of the human intestinal microbiota of celiacs. OUR and UPI cultivars from the Northeast and South of Brazil could be considered potential prebiotic ingredients for use in the formulation of functional foods and dietary supplements.

Since 1991

Total publications
793
Total citations
12180
Citations per publication
15.36
Average publications per year
22.66
Average authors per publication
6.35
h-index
48
Metrics description

Top-30

Fields of science

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140
Food Science, 127, 16.02%
General Medicine, 79, 9.96%
Agronomy and Crop Science, 42, 5.3%
Biotechnology, 39, 4.92%
Analytical Chemistry, 38, 4.79%
Computer Science Applications, 33, 4.16%
Mechanical Engineering, 32, 4.04%
Industrial and Manufacturing Engineering, 32, 4.04%
Animal Science and Zoology, 32, 4.04%
Control and Systems Engineering, 30, 3.78%
Electrical and Electronic Engineering, 28, 3.53%
Condensed Matter Physics, 27, 3.4%
General Chemistry, 26, 3.28%
Biochemistry, 26, 3.28%
Software, 26, 3.28%
Multidisciplinary, 25, 3.15%
General Chemical Engineering, 22, 2.77%
Education, 22, 2.77%
General Nursing, 22, 2.77%
Plant Science, 19, 2.4%
Spectroscopy, 17, 2.14%
General Physics and Astronomy, 17, 2.14%
Applied Microbiology and Biotechnology, 17, 2.14%
General Engineering, 17, 2.14%
Ecology, Evolution, Behavior and Systematics, 17, 2.14%
Materials Chemistry, 15, 1.89%
General Veterinary, 15, 1.89%
Environmental Chemistry, 14, 1.77%
General Materials Science, 13, 1.64%
General Agricultural and Biological Sciences, 13, 1.64%
20
40
60
80
100
120
140

Journals

5
10
15
20
25
30
5
10
15
20
25
30

Publishers

50
100
150
200
250
50
100
150
200
250

With other organizations

20
40
60
80
100
120
140
160
20
40
60
80
100
120
140
160

With foreign organizations

1
2
3
4
5
1
2
3
4
5

With other countries

5
10
15
20
25
30
USA, 29, 3.66%
Portugal, 20, 2.52%
Canada, 18, 2.27%
Italy, 15, 1.89%
France, 14, 1.77%
Spain, 13, 1.64%
Germany, 8, 1.01%
United Kingdom, 8, 1.01%
Australia, 6, 0.76%
Finland, 6, 0.76%
Argentina, 3, 0.38%
Belgium, 3, 0.38%
India, 2, 0.25%
Colombia, 2, 0.25%
Chile, 2, 0.25%
Costa Rica, 1, 0.13%
Monaco, 1, 0.13%
UAE, 1, 0.13%
Pakistan, 1, 0.13%
Panama, 1, 0.13%
Poland, 1, 0.13%
Romania, 1, 0.13%
Turkey, 1, 0.13%
Czech Republic, 1, 0.13%
Switzerland, 1, 0.13%
5
10
15
20
25
30
  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1991 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.