RESUMO
As constantes transformações tecnológicas dos últimos anos têm refletido diretamente sobre o cenário da educação, com a popularização do ensino em meio digital, especialmente após a pandemia do COVID-19. Diante disso, surgiu a proposta de um ciclo de palestras online pelo grupo que compõe o Programa de Educação Tutorial (PET) Odontologia, do Instituto de Saúde de Nova Friburgo. O objetivo do evento foi oferecer conteúdo atualizado, de interesse dos participantes, abordando temas nem sempre são contemplados na grade curricular, contando com convidados externos à instituição. Após a seleção dos temas e a escolha dos palestrantes, iniciou-se a organização e divulgação do evento, utilizando ferramentas online gratuitas. O ciclo de palestras contou com sete apresentações, abrangendo áreas como Odontogeriatria, Dentística, Harmonização Orofacial, Gestão e Empreendedorismo, Emergências Médicas e Estomatologia. Durante os cursos, os participantes tiveram a oportunidade de esclarecer suas dúvidas, tornando a experiência interativa. Como instrumento de feedback, os participantes foram convidados a preencher um formulário de avaliação. O evento teve uma média de 73 participantes, os quais demonstraram estar satisfeitos com a qualidade dos temas abordados. Pode-se concluir que a proposta de um ciclo de palestras online é viável, dissemina o conhecimento, proporciona oportunidades de aprendizado e contribui para a consolidação do senso crítico-reflexivo. Para os membros do PET Odontologia, a experiência destacou a importância do ensino-aprendizado de excelência, contínuo e permanente, bem como a utilização de métodos alternativos que podem inovar o processo de formação acadêmica.
The constant technological transformations in recent years have directly impacted the education landscape, with the popularization of online teaching, especially after the COVID-19 pandemic. In light of this, a proposal for an online lecture series emerged from the group that comprises the Tutorial Education Program (PET) at the Nova Friburgo Institute of Health (ISNF). The aim of the event was to offer updated content, of interest to participants, covering topics not always included in the curriculum and featuring external guests to the institution. After selecting the topics and choosing the speakers, the organization and promotion of the event began, using free online tools. The lecture series consisted of seven presentations, covering areas such as Geriatric Dentistry, Restorative Dentistry, Orofacial Harmonization, Management and Entrepreneurship, Medical Emergencies, and Stomatology. Throughout the courses, participants had the opportunity to clarify their doubts, making the experience interactive. As a feedback tool, participants were invited to fill out an evaluation form. The event had an average of 73 participants, who expressed satisfaction with the quality of the topics covered. It could be concluded that the proposal for an online lecture series is feasible, disseminates knowledge, provides learning opportunities, and contributes to the consolidation of critical-reflexive thinking. For PET Dentistry members, the experience highlighted the importance of continuous and excellent teaching and learning, as well as the use of alternative methods that can innovate the academic training process.
RESUMO
A high-throughput method for the determination of ethanol in vodka and cachaça using 96-well-plate digital images was proposed and validated. The standard method consists of beverage distillation, measuring its density using a pycnometer, and converting it into ethanol content. It is simple, but it is time-consuming and susceptive to error. The proposed method exploits the suppression of phenolphthalein ionization by ethanol in an alkaline solution and the fading of the pink solution was converted into ethanol content. It consists in mixing 1 mL of sample with 0.1 mL of an alkaline phenolphthalein solution. 96-well-plate images were acquired using a desktop scanner. Red, green, and blue (RGB) values from the 96 wells were automatically extracted using ReadPlate (ImageJ plugin). Then, RGB values were exported to a spreadsheet that converted these values into analytical signals and calculated the ethanol content in beverages. The ethanol content of cachaças and vodkas was 33-45% (v/v) and it was also the linear range of the proposed method. The method's precision was evaluated using relative standard deviation (RSD). Five cachaças and three vodkas were analyzed. Each beverage was analyzed six times on the same day (intra-day repeatability) and three consecutive days (inter-day repeatability) by three different analysts (inter-analyst repeatability). The intra-day repeatability average was 1.7% (1.2-2.2% range), the intra-day repeatability average was 2.6% (1.9-3.5% range), and the inter-analyst repeatability average was 4% (2.6-6.2% range). Accuracy was evaluated by comparing the proposed method with the standard method using a percent error and a paired t-test. The average percent error was 1.9%, in the paired t-test, the p-value average value was 0.25. The proposed method can analyze 12 samples in 30 min, whereas the standard method spends around 1 h on each sample. Thus, the proposed method provides high-throughput compared with the standard method.