Marcos Tadeu Tavares Pacheco

Much of the reference material in Raman spectroscopy is available only as low-quality images in public databases, with no access to the original numerical series, which prevents comparing, measuring peaks and reprocessing the spectra. This work presents RamanScan-PAL2V, a software that reconstructs the (x,y) series from a spectrum image and treats its noise with a filter based on two-value Paraconsistent Annotated Logic (PAL2v), with an adjustable number of Paraconsistent Artificial Neural Cells of Learning (PANCelll), providing students and researchers with previously inaccessible data and a smoothing that preserves the spectrum structure, demonstrated in a practical digitizing and pre-processing case.

This study analyzes the operational efficiency of import port operations at a multipurpose port, focusing on the identification of material waste and time losses. The applied and descriptive research was conducted through a case study, in situ observation, document analysis, and operational data collection. Semi-automated, hybrid, and non-automated operations were compared. Results indicated losses below 1% in semi-automated operations, between 1% and 2% in hybrid operations, and between 2% and 3% in non-automated operations. Cargo relief was also identified as an important source of time and material losses. It is concluded that process mapping enables the identification of bottlenecks and opportunities for continuous improvement.

Ao longo de seus 65 anos de história, a Universidade Santa Cecília tem desenvolvido iniciativas que fortalecem continuamente a pesquisa, a inovação e a formação de recursos humanos altamente qualificados, consolidando seus programas de pós-graduação entre os mais relevantes do cenário acadêmico nacional. Nesse contexto, os Encontros de Pós-Graduação, realizados há 15 anos, constituem uma das mais importantes ações institucionais voltadas à divulgação e à discussão da produção técnico-científica de estudantes de mestrado, doutorado e cursos de especialização lato sensu de todo o Brasil. Realizado nos dias 6 e 7 de novembro de 2026, o XV Encontro Nacional de Pós-Graduação (XV ENPG), em formato híbrido, presencial e on-line, reafirma seu papel como um espaço privilegiado para o intercâmbio de conhecimentos, o desenvolvimento de parcerias acadêmicas e a difusão dos resultados das pesquisas produzidas nos programas de pós-graduação brasileiros. Nesta edição, o evento reúne pesquisadores de diferentes regiões do país que submeteram seus trabalhos à apreciação do Comitê Científico. Após criterioso processo de avaliação, foram aprovados 114 trabalhos, que serão apresentados na forma de painéis. A programação contempla, ainda, minicursos e palestras ministrados por pesquisadores de reconhecida excelência, com destaque para temas relacionados à Inovação Tecnológica, às Ciências Ambientais e às Ciências Sociais Aplicadas. O XV ENPG representa um importante ambiente de diálogo acadêmico, promovendo a integração entre mestrandos, doutorandos, docentes, pesquisadores e profissionais de diversas áreas do conhecimento. Ao estimular a troca de experiências, a reflexão crítica e o debate científico, o encontro contribui para a disseminação dos conhecimentos produzidos em programas de pós-graduação do Brasil e do exterior. Os artigos que compõem estes anais refletem a diversidade e a qualidade das pesquisas desenvolvidas pelos autores, abordando temas contemporâneos e estratégicos situados na fronteira do conhecimento científico. Destacamos que a organização do evento é resultado do empenho conjunto de docentes e discentes dos programas de pós-graduação da UNISANTA, contando com o apoio de importantes agências de fomento à pesquisa, como a CAPES, o CNPq e a FAPESP, além do Portal de Periódicos da UNISANTA. Reconhecido pela Organização das Nações Unidas por meio da iniciativa United Nations Academic Impact (UNAI), o Portal destaca-se pelo compromisso com a democratização do conhecimento científico, oferecendo acesso livre e ampliando o alcance social e acadêmico das publicações nele veiculadas. Esta edição dos Anais do XV ENPG reúne os 114 artigos completos aprovados, disponibilizados em acesso aberto por meio da plataforma Open Journal Systems (OJS), acessível pelo Portal de Periódicos da UNISANTA. Em seu décimo ano de publicação periódica e com ISSN próprio, os Anais contam também com registro de DOI junto à Crossref, fortalecendo sua visibilidade, rastreabilidade e inserção no cenário internacional da comunicação científica. Ao disponibilizar à comunidade acadêmica os resultados das pesquisas apresentadas durante o evento, esta publicação reafirma o compromisso da Universidade Santa Cecília com a produção, a difusão e a democratização do conhecimento científico. Desejamos a todos uma excelente leitura e esperamos contar com sua participação nas próximas edições dos Encontros de Pós-Graduação da UNISANTA. Prof. Dr. Marcos Tadeu Tavares Pacheco Coordenador Geral de Pós-Graduação Stricto Sensu Universidade Santa Cecília – UNISANTA

Internal combustion automotive engines operate under severe thermal and mechanical conditions, including elevated temperatures, high pressures, and significant frictional contact stresses in moving...

The identification of bacteria strains resistant to antibiotics is a challenge due to the risk of deaths of subjects with low immune response. This study aimed to identify changes in the Raman spectral profile of selected species of resistant bacterial strains compared to sensitive ones. A total of 78 samples of Gram‐negative bacteria strains from four species ( Escherichia coli , Klebsiella pneumoniae , Proteus mirabilis , and Enterobacter cloacae ) with different antibiotic sensitivity profiles (sensitive or resistant) were cultivated in Mueller Hinton agar. A biomass of each sample was disposed in aluminum foil and submitted to Raman spectroscopy (830‐nm excitation, 350‐mW laser power, and 50‐s exposure time). A total of 335 spectra were obtained (211 from sensitive and 124 from resistant strains). The main spectral differences between the resistant and sensitive strains were in the spectral regions associated with proteins and amino acids, lipidic compounds, nucleotide bases (DNA and RNA nitrogen bases), and saccharides (exopolysaccharides), which were higher for the resistant strains. A discriminant model based on partial least squares regression classified the Raman spectra according to the bacterial species independently of the sensitivity profile with 92.8% accuracy and discriminated the resistant from the sensitive bacterial strains independently of the species with 99.1% accuracy. Results indicate that Raman spectroscopy could be used to discriminate between sensitive and resistant bacterial strains independently of these species.

Oil and its derivatives affect marine ecosystems due to pollution. Analytical methods for detecting oils and greases in saline water can identify oil-derived pollutants in seas and oceans, supporting the preservation and recovery of water quality. This study describes a methodology based on Raman spectroscopy to quantify oil in saline water. Specific seriate volumes of synthetic lubricating oil (SLO) and diesel fuel oil (DFO) were added to a beaker containing 1000 mL of saline water. A magnetic stirrer was used to create vortex, where the added oil dispersed uniformly over the surface and created a thin film. Raman spectra of the surface’s film were obtained by a spectrometer (830 nm, 350 mW) at a fixed position with reference to the beaker border, in triplicate. Two spectral models were developed; one based on the intensity of the peak at ~1400–1500 cm⁻¹ and another based on partial least squares regression (PLSR). Both spectral models enabled the quantification of SLO and DFO at concentrations ranging from 25.6 to 307 mg/L, and from 16.8 to 205 mg/L, respectively, with correlation coefficients as high as r = 0.99. The results highlight the potential of using Raman spectroscopy for analyzing oil in environmental water samples.

This study demonstrates the potential of Raman spectroscopy as an effective and accurate tool for identifying and classifying postconsumer plastics, achieving 100% accuracy for plastics classified from types 1 to 6 according to the recycling triangles. The ability to differentiate plastic types, including the detection of dyes commonly used in packaging and labels, can significantly enhance sorting efficiency in recycling facilities. By improving plastic separation, this method can contribute to more sustainable recycling practices, reducing contamination in recycled materials and supporting the development of a circular economy.

Science & Business Connection: Anais do Congresso Científico Tecnológico (978-65-272-1985-9) - Espectroscopia Raman, Caracterização Molecular Grão Verde – Café Arábica

The aim of this study was to detect biochemical components in the urine of bodybuilders who ingested creatine pretraining compared to individuals who did not ingest creatine after physical exercise using Raman spectroscopy. Twenty volunteers practicing bodybuilding were selected to collect pre‐ and post‐training urine samples, where 10 volunteers ingested creatine 30 min before pretraining urine collection (creatine group), and 10 did not (control group). The samples were subjected to Raman spectroscopy, and the spectra of both creatine and control groups and the difference (post—pre) for both groups were analyzed. Principal component analysis (PCA) technique was applied to the samples. The results showed peaks of creatine and phosphate in urine after training (creatine post‐training group), suggesting that part of the creatine was absorbed and metabolized, and part was excreted. Raman spectroscopy could be applied to detect biocompounds in urine, such as unmetabolized creatine and phosphate.