Livia Florio Sgobbi

The extensive use of pesticides in agriculture has led to their accumulation in environmental compartments, especially soils. Given their potential impact on ecosystems and human health, developing effective analytical methods to assess pesticide persistence and mobility in soil is essential. However, soil is a complex matrix with numerous interfering substances that challenge accurate analysis. This study reports the development of a U‐shaped electromembrane extraction method coupled with liquid chromatography‐mass spectrometry for detecting multiclass pesticides in soil samples. Key extraction parameters are optimized, achieving efficient performance in 15 min using a sample pH of 8, stirring at 1000 rpm, and 10% (w/v) NaCl. The method demonstrates linearity between 500 and 1000 mg kg ⁻¹ with R ² > 0.9800, limits of detection between 91.6 and 171.4 mg kg ^{−1 ,} and recovery rates from 84.5% to 101.2%. Furthermore, the approach is evaluated using AGREEprep and GAPI tools, highlighting its compliance with green analytical chemistry principles. Overall, this work introduces an effective, environmentally friendly methodology for the determination of pesticide residues in soil, reinforcing the potential of electromembrane extraction for complex environmental matrices.

Dicopper(ii) metallacyclophane enables long-distance ferromagnetic coupling via spin polarization and potential selective catalyst for hydroquinone oxidation.

Scientific initiation plays an essential role in fostering student engagement in research activities, contributing to the training of professionals capable of facing contemporary challenges through the application of knowledge acquired in higher education institutions. In this article, the impacts of the pandemic on the participation of students linked to the Scientific, Technological, and Innovation Research Initiation Program (PIP) at the Federal University of Goiás (UFG) were analyzed, focusing on the Institute of Chemistry (IQ) and during the emergency remote teaching period (ERE), in comparison to the periods before and after this teaching modality. The study was based on the analysis of reports made available by the Dean of Research and Innovation (PRPI) for the years 2018/2019 (pre-ERE), 2020/2021 (during ERE), and 2022 (post-ERE). The data were organized into three scenarios with exploratory, association, and multivariate approaches. The results revealed an association (χ² = 5.53; p = 0.06) between the number of scholarships awarded to IQ and the years surrounding the ERE period. It was found that the percentage of scholarships during the ERE (64%) was lower (p < 0.03) than that observed in the pre-ERE period (80%). However, no differences were detected in the number of scholarships awarded between the ERE and the subsequent period, indicating that the effects of the pandemic also had repercussions in the post-ERE period. Students covered by the PIP, in the IQ, were distributed among fourteen undergraduate courses at UFG, with a predominance of bachelor's degrees (68%; n = 124) and teaching degrees (18%; n = 32) in Chemistry. Considering the same students in different cycles of participation in the PIP (n = 40), high fidelity to a single advisor was observed (90%; n = 36), with 22% of students remaining in the program for two years or more. The investigation revealed the importance of the PIP in student training and, in particular, the program's role in strengthening academic activities, improving personal development, consolidating a collaborative perspective on science, and promoting the process of professional socialization. The students joined the program in different modalities of scientific, technological, and innovation initiation, competing or not for institutional scholarships offered by the PIP.

In the field of biosensing and chemical sensing, there is a growing demand for multiplexed detection and quantification of multiple targets within complex matrices. In electrochemical sensing, simultaneous multiplexed analysis is typically performed with multiple electrodes connected to a multichannel potentiostat. An alternative strategy involves using a single electrode capable of discriminating and detecting several analytes in a single measurement, which is, however, unfortunately limited to a selective group of molecules. Herein, we report a novel electrochemical method based on the parallel assembly of a dual-electrochemical cell (PADEC), which enables the simultaneous detection and quantification of solvent-incompatible analytes, prepared separately in two distinct electrochemical cells, using a single-channel potentiostat—thus achieving multichannel-like performance. This approach relies on connecting two electrochemical cells in parallel, allowing the concurrent measurement of distinct electrochemical responses from analytes that otherwise could not be simultaneously determined due to solvent incompatibility. As a proof of concept, the water-soluble vitamin C, and the lipid-soluble vitamin D3 were simultaneously determined, each in its respective optimized medium. The PADEC approach demonstrated performance comparable to individual detection methods, achieving limits of detection of 27 μM for vitamin C and 32 μM for vitamin D3 over a linear range of 20–400 μM. This strategy establishes a new approach for simultaneous, multiplexed electrochemical determination of analytes in different media. Moreover, this innovation may extend applications in electrochemistry beyond (bio)sensing to include areas such as electrocatalysis, energy and corrosion, potentially reducing dependence on multichannel potentiostats. Graphical Abstract

O significado do tempo tem sido um tema recorrente em artigos de divulgação científica em diferentes mídias, muito embora não considerem a progressividade temporal, representada pela “seta do tempo”, nem a influência de múltiplas escalas temporais no poder e nos mecanismos de engajamento do público. Neste artigo, os indicadores de desempenho dos webinários do canal WebCiência IQ-UFG no YouTubeÒ foram analisados ao longo de múltiplas escalas temporais, por meio de mapas de autovetores assimétricos (AEM). Os resultados permitiram incorporar a unidirecionalidade do vetor do tempo entre os webinários, preservando a estrutura temporal da causalidade. A tendência temporal (escala grande) representou a transição dos ensinos remoto e presencial na transpandemia, enquanto a estratégia e os recursos disponibilizados pela equipe de gestão foram importantes no engajamento do público, com destaque para os temas selecionados (escala intermediária). Os AEM modelaram tanto a influência temporal multiescala quanto a variância crescente, no tempo, de visualizações, likes e comentários dos webinários, contribuindo com a avaliação dos efeitos temporais associados ao engajamento a mídias sociais.

As redes sociais geram dados estruturados no espaço e no tempo, possibilitando analisar processos complexos em uma comunidade. O enorme fluxo de informação, no entanto, requer métodos para aquisição e análise de dados no tempo. Nesse contexto, avaliou-se o padrão temporal no desempenho do canal de divulgação científica WebCiência IQ-UFG, no YouTube®, durante a transpandemia. Para modelar a influência do tempo em múltiplas escalas, foram utilizados mapas de autovetores de Moran (MEM) em análises de redundância e variogramas multivariados. Os resultados indicaram que as métricas de desempenho do canal foram mais bem representadas por MEM gerados de conexões baseadas na distância temporal relativa e ponderadas não linearmente com a data de postagem dos webinários. As estruturas temporais relacionaram-se principalmente ao ensino remoto ou presencial e quanto à equipe de gestão (escala grande), bem como aos ciclos letivos e anos dos webinários (escala intermediária). Além de modelarem as múltiplas escalas, os MEM controlaram a variância crescente nas métricas de desempenho entre webinários vizinhos, ao longo do tempo, bem como a tendência unidirecional da coordenada temporal.

A análise de atitudes compreende um conjunto de ferramentas imprescindíveis para a mensuração de opiniões, as quais são influenciadas por crenças, impressões e comportamentos. Neste contexto, utilizou-se de uma escala do tipo Likert de quatro pontos para avaliar a opinião dos participantes quanto ao tema (Q1), qualidade do material disponibilizado e clareza na exposição (Q2) dos webinários de uma ação de extensão na plataforma YouTube®. As análises exploratórias e preditivas dos resultados da escala indicaram um elevado percentual de satisfação dos participantes com os dois itens e conduziram à identificação das características dos respondentes associadas às opiniões. Características como pertencerem ou não à comunidade da instituição, a categoria ou atividade atual, além do local de onde foram acessados os webinários, foram importantes na modelagem e predição das opiniões dos participantes.

The patterning of hydrophilic paper with hydrophobic materials has emerged as an interesting method for the fabrication of paper-based devices (PADs). Herein, we demonstrate a digitally automated, easy, low-cost, eco-friendly, and readily available method to create highly hydrophobic barriers on paper that can be promptly employed with PADs by simply using a bioink made with rosin, a commercially available natural resin obtained from conifer trees. The bioink can be easily delivered with the use of a ballpoint pen to produce water- and organic solvent-resistant barriers, showing superior properties when compared to other methods such as wax-printing or permanent markers. The approach enables the pen to be attached to a commercially available cutting printer to perform the semiautomated fabrication of hydrophobic barriers for PADs. With the aid of digitally controlled optimization, together with features of machine learning and design of experiments, we show a thorough investigation on the barrier strength that can be further adjusted to the desired application’s needs. Then, we explored the barrier sturdiness across various uses, such as wide range aqueous pH sensing and the harsh acidic/organic conditions needed for the colorimetric detection of cholecalciferol.