935 resultados para Espectroscopia NIR. Cabelo. Análise Forense. PCA. Nicotina.


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Melanin is a very important pigment to human species, and besides defining skin, eyes and hair color, it is also involved in sun exposure protection. This pigment is classified into two subtypes: pheomelanin, which is responsible for lighter pigmentation and eumelanin, the dark pigment related. Due to this type of melanin variation it is possible to found different phenotypes of hair and skin color. The genetics MC1R variations are described as the most important for diversity in pigmentation, and this gene is directly related to the complex process of melanin synthesis. The use of these variations to phenotype prediction using genetic information has been used in Europe countries to infer physical features from biological samples, with the purpose of directing searches of criminal suspects and victims identification. The aim of this study was to analyze 8 major MC1R polymorphisms in a sample of Brazilian individuals. Analyzing 91 individuals, we observed with higher frequencies the polymorphisms rs1805005:G>T, rs2228479:G>A and rs885479:G>A, which are related to skin and hair colors, as previously showed in literature. These data suggest the possibility of predicting phenotype from genetic polymorphisms in Brazilian population. However it will be necessary to analyze a larger number of individuals to be able to confirm these associations and to perform a more detailed statistical analysis

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O presente trabalho tem por objetivo avaliar o desempenho físico-mecânico e a durabilidade de painéis de partículas de bagaço de cana-de-açúcar com resina bicomponente a base de mamona (BCP) e compará-los com painéis de partículas de madeira comerciais (Medium Density Particleboard - MDP). Os painéis de bagaço de cana de açúcar foram fabricados com um teor de resina poliuretana a base de óleo de maona de 15%. O desempenho físico e mecânico dos painéis particulados foi analisado com base nas prescrições dos documentos normativos vigentes. Ambos os materiais foram revestidos superficialmente com resina poliuretana bicomponente à base de óleo de mamona. Avaliou-se a influência do tratamento das bordas na deterioração e no desempenho dos painéis. O acompanhamento das propriedades físico-mecânicas foi realizado antes e após os ensaios de envelhecimento por exposição natural durante 3, 6 e 12 meses, envelhecimento acelerado e de intemperismo artificial. Foi feita a avaliação, da suscetibilidade ao crescimento gerada pelo ataque de fungos emboloradores e apodrecedores nos materiais durante o envelhecimento natural e no ensaio acelerado. Foi realizada a análise colorimétrica para a identificação de mudanças de cor e brilho nos materiais após os ensaios de deterioração. Foram utilizadas as técnicas de densitometria de raios X, espectroscopia por infravermelho próximo (NIR). Os resultados obtidos indicaram a selagem lateral permitiu avaliar a superfície exposta do material permitindo a entrada da água pela superfície avaliando o efeito dos agentes de deterioração. A porcentagem de retenção para o Módulo de ruptura após o ensaio de envelhecimento por imersão em agua e secagem (APA D1) foi de 87% e 3% para BCP e MDP sem revestimento respectivamente e de 90% e 3% para BCP e MDP com revestimento. A porcentagem de retenção das propriedades mecânicas em ambos os submetidos à exposição natural diminuiu em função do tempo. Entretanto o porcentagem de retenção para os materiais BCP e MDP com revestimento superficial foi de 76% e 60% para MOR. A exposição natural mostrou que os fungos emboloradores foram predominantes em ambos os materiais. Ambos os materiais com revestimento superficial apresentaram entre 1-10% de colonização com um 70% de probabilidade. Revestimento de resina de óleo de mamona reduz o crescimento de fungos em ambos os materiais no ensaio acelerado. O perfil de densitometria permitiu analisar o processo de fabricação dos painéis e permitiu identificar a deterioração gradativa do ambos os materiais após os ensaios de envelhecimento. A intepretação mediante a analise de componentes principais (ACP) na aplicação do NIR comportou a classificação das características relacionadas a cada ensaio de deterioração de ambos os materiais sem revestimento superficial. Com base nos resultados deste trabalho, foram propostas contribuições para ajustes de metodologias para a avaliação da durabilidade e do desempenho físico e mecânico dos painéis particulados, tendo em vista a sua viabilidade técnica, em sistemas construtivos da construção civil.

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Considering the social and economic importance that the milk has, the objective of this study was to evaluate the incidence and quantifying antimicrobial residues in the food. The samples were collected in dairy industry of southwestern Paraná state and thus they were able to cover all ten municipalities in the region of Pato Branco. The work focused on the development of appropriate models for the identification and quantification of analytes: tetracycline, sulfamethazine, sulfadimethoxine, chloramphenicol and ampicillin, all antimicrobials with health interest. For the calibration procedure and validation of the models was used the Infrared Spectroscopy Fourier Transform associated with chemometric method based on Partial Least Squares regression (PLS - Partial Least Squares). To prepare a work solution antimicrobials, the five analytes of interest were used in increasing doses, namely tetracycline from 0 to 0.60 ppm, sulfamethazine 0 to 0.12 ppm, sulfadimethoxine 0 to 2.40 ppm chloramphenicol 0 1.20 ppm and ampicillin 0 to 1.80 ppm to perform the work with the interest in multiresidues analysis. The performance of the models constructed was evaluated through the figures of merit: mean square error of calibration and cross-validation, correlation coefficients and offset performance ratio. For the purposes of applicability in this work, it is considered that the models generated for Tetracycline, Sulfadimethoxine and Chloramphenicol were considered viable, with the greatest predictive power and efficiency, then were employed to evaluate the quality of raw milk from the region of Pato Branco . Among the analyzed samples by NIR, 70% were in conformity with sanitary legislation, and 5% of these samples had concentrations below the Maximum Residue permitted, and is also satisfactory. However 30% of the sample set showed unsatisfactory results when evaluating the contamination with antimicrobials residues, which is non conformity related to the presence of antimicrobial unauthorized use or concentrations above the permitted limits. With the development of this work can be said that laboratory tests in the food area, using infrared spectroscopy with multivariate calibration was also good, fast in analysis, reduced costs and with minimum generation of laboratory waste. Thus, the alternative method proposed meets the quality concerns and desired efficiency by industrial sectors and society in general.

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Dissertação (Mestrado em Tecnologia Nuclear)

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Plasma process like ionic nitriding and cathodic cage plasma nitriding are utilized in order to become hard surface of steels. The ionic nitriding is already accepted in the industry while cathodic cage plasma nitriding process is in industrial implementation stage. Those process depend of plasma parameters like electronic and ionic temperature (Te, Ti), species density (ne, ni) and of distribution function of these species. In the present work, the plasma used to those two processes has been observed through Optical Emission Spectroscopy OES technique in order to identify presents species in the treatment ambient and relatively quantify them. So plasma of typical mixtures like N2 H2 has been monitored through in order to study evolution of those species during the process. Moreover, it has been realized a systematic study about leaks, also thought OES, that accomplish the evolution of contaminant species arising because there is flux of atmosphere to inside nitriding chamber and in what conditions the species are sufficiently reduced. Finally, to describe the physic mechanism that acts on both coating techniques ionic nitriding and cathodic cage plasma nitriding

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Com o objetivo de diminuir a incidência das leveduras encapsulas em alginato se aglomerarem na segunda fermentação em garrafa e reduzir custos associados à sua eliminação, pretendeu-se utilizar a metodologia NIR para determinar a quantidade de cálcio no vinho. Foram quantificados outros minerais para avaliar hipotéticos antagonismos iónicos. Observou-se também que este controlo de qualidade poderá ser efetuado no mosto. Atualmente este controlo é realizado por metodologias de análise de referência bastante morosas como EAA. Contudo a metodologia NIR demonstrou ser uma boa alternativa no controlo dos parâ-metros de qualidade na produção de vinho espumante, permitindo a diminuição do tempo de análise e de resíduos. No desenvolvimento dos modelos matemáticos para a calibração do NIR utilizaram-se 79 vinhos brancos e 60 amostras de mosto. Foram desenvolvidos 11 modelos de calibração onde o coeficiente de correlação foi, em aproximadamente 58% dos casos, maior que 0,99; ABSTRACT: In order to reduce the incidence of alginate beads aggregation during the second fermentation in the bottle and to reduce costs associated with their disposal, it was used the NIR technology to quantify calcium content in the wine. Other minerals were also quantified in order to evaluate possible ionic antagonisms. Quality control is usually done in the base wine but it can also be evaluated in the must. Currently this control was carried out by reference analysis methodologies generally rather slow as AAS. However NIR proved to be a good alternative technique in the control of quality parameters of wine production, allowing the reduction of the analysis time and waste. In order to develop mathematical models for the calibration of NIR it was used 79 white wine samples and 60 must samples. Eleven calibration models have been developed, where the correlation coeffi-cient was, in approximately 58% of cases, greater than 0,99.

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Determining the properties and integrity of subchondral bone in the developmental stages of osteoarthritis, especially in a form that can facilitate real-time characterization for diagnostic and decision-making purposes, is still a matter for research and development. This paper presents relationships between near infrared absorption spectra and properties of subchondral bone obtained from 3 models of osteoarthritic degeneration induced in laboratory rats via: (i) menisectomy (MSX); (ii) anterior cruciate ligament transaction (ACL); and (iii) intra-articular injection of mono-ido-acetate (1 mg) (MIA), in the right knee joint, with 12 rats per model group (N = 36). After 8 weeks, the animals were sacrificed and knee joints were collected. A custom-made diffuse reflectance NIR probe of diameter 5 mm was placed on the tibial surface and spectral data were acquired from each specimen in the wavenumber range 4000–12 500 cm− 1. After spectral acquisition, micro computed tomography (micro-CT) was performed on the samples and subchondral bone parameters namely: bone volume (BV) and bone mineral density (BMD) were extracted from the micro-CT data. Statistical correlation was then conducted between these parameters and regions of the near infrared spectra using multivariate techniques including principal component analysis (PCA), discriminant analysis (DA), and partial least squares (PLS) regression. Statistically significant linear correlations were found between the near infrared absorption spectra and subchondral bone BMD (R2 = 98.84%) and BV (R2 = 97.87%). In conclusion, near infrared spectroscopic probing can be used to detect, qualify and quantify changes in the composition of the subchondral bone, and could potentially assist in distinguishing healthy from OA bone as demonstrated with our laboratory rat models.

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A novel combined near- and mid-infrared (NIR and MIR) spectroscopic method has been researched and developed for the analysis of complex substances such as the Traditional Chinese Medicine (TCM), Illicium verum Hook. F. (IVHF), and its noxious adulterant, Iuicium lanceolatum A.C. Smith (ILACS). Three types of spectral matrix were submitted for classification with the use of the linear discriminant analysis (LDA) method. The data were pretreated with either the successive projections algorithm (SPA) or the discrete wavelet transform (DWT) method. The SPA method performed somewhat better, principally because it required less spectral features for its pretreatment model. Thus, NIR or MIR matrix as well as the combined NIR/MIR one, were pretreated by the SPA method, and then analysed by LDA. This approach enabled the prediction and classification of the IVHF, ILACS and mixed samples. The MIR spectral data produced somewhat better classification rates than the NIR data. However, the best results were obtained from the combined NIR/MIR data matrix with 95–100% correct classifications for calibration, validation and prediction. Principal component analysis (PCA) of the three types of spectral data supported the results obtained with the LDA classification method.

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The use of near infrared (NIR) hyperspectral imaging and hyperspectral image analysis for distinguishing between hard, intermediate and soft maize kernels from inbred lines was evaluated. NIR hyperspectral images of two sets (12 and 24 kernels) of whole maize kernels were acquired using a Spectral Dimensions MatrixNIR camera with a spectral range of 960-1662 nm and a sisuChema SWIR (short wave infrared) hyperspectral pushbroom imaging system with a spectral range of 1000-2498 nm. Exploratory principal component analysis (PCA) was used on absorbance images to remove background, bad pixels and shading. On the cleaned images. PCA could be used effectively to find histological classes including glassy (hard) and floury (soft) endosperm. PCA illustrated a distinct difference between glassy and floury endosperm along principal component (PC) three on the MatrixNIR and PC two on the sisuChema with two distinguishable clusters. Subsequently partial least squares discriminant analysis (PLS-DA) was applied to build a classification model. The PLS-DA model from the MatrixNIR image (12 kernels) resulted in root mean square error of prediction (RMSEP) value of 0.18. This was repeated on the MatrixNIR image of the 24 kernels which resulted in RMSEP of 0.18. The sisuChema image yielded RMSEP value of 0.29. The reproducible results obtained with the different data sets indicate that the method proposed in this paper has a real potential for future classification uses.

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380 p. : il., gráf.

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O propósito do presente estudo foi analisar o efeito da aplicação de múltiplas camadas consecutivas de dois sistemas adesivos convencionais de dois passos na difusão resinosa e padrão de distribuição dos componentes monoméricos resinosos. Dezesseis terceiros molares humanos hígidos foram tratados com os sistemas adesivos convencionais de dois passos de acordo com as instruções dos fabricantes ou com aplicações em múltiplas camadas consecutivas. Os espécimes foram seccionados paralelamente aos túbulos dentinários e as superfícies submetidas ao polimento com lixas 600, 1200, 1800, 2000 e 4000. Os espectros Raman foram coletados ao longo de uma linha perpendicular a interface adesivo-resina em intervalos de 1 ou 2 m. As medidas de difusão da resina adesiva e distribuição dos componentes monomériccos foram avaliadas pelos picos Raman de 1113 cm-1, 1609 cm-1 e 1454 cm-1. O gradiente de desmineralização usado na determinação da região de hibridização foi avaliado pelo pico de 960 cm-1 da apatita. De acordo com os resultados obtidos, a aplicação de múltiplas camadas apresentou uma tendência de homogeneização dos componentes poliméricos, dependente da composição química da resina adesiva.