Variação anual do rendimento e composição química dos componentes voláteis da Siparuna guianensis Aublet

This work describes the volatile composition obtained by hidrodistillation of fresh leaves of Siparuna guianensis Aublet collected from Cuiabá (MT), Brazil. The composition of DCM extract of hydrolate was determined by GC-MS analysis and the results showed that the specie present a range of components according to their phenology and period of the leaves were collects. The highest volatile components yield was obtained during the reproductive period and the principal compound was the siparunone.

Classificação periódica: um exemplo didático para ensinar análise de componentes principais

A dataset of chemical properties of the elements is used herein to introduce principal components analysis (PCA). The focus in this article is to verify the classification of the elements within the periodic table. The reclassification of the semimetals as metals or nonmetals emerges naturally from PCA and agrees with the current SBQ/IUPAC periodic table. Dataset construction, basic preprocessing, loading and score plots, and interpretation have been emphasized. This activity can be carried out even when students with distinct levels of formation are together in the same learning environment.

Identificação de adulteração de biocombustível por adição de óleo residual ao diesel por espectrofluorimetria total 3D e análise das componentes principais

Total spectrofluorimetry associated to Principal Components Analysis (PCA) were used to classify into different groups the samples of diesel oil, biodiesel, vegetal oil and residual oil, as well as, to identify addition of non-transesterified residual vegetable oil, instead of biodiesel, to the diesel oil. Using this method, the samples of diesel oil, mixtures of biodiesel in diesel and mixtures of residual oil in diesel were separated into well-defined groups.

Discriminação entre estádios de maturação e tipos de processamento de pós-colheita de cafés arábica por microextração em fase sólida e análise de componentes principais

A fruit chemical composition reflects its maturation stage. For coffee, it is also the reflex of the post-harvesting processing type, dry, semi-wet and wet. The object of this work was to verify if headspace solid phase microextraction coupled to gas chromatography (HS-SPME-GC) could be used to discriminate between samples harvested in different maturation stages and treated by different processes. With application of principal component analysis to the area of 117 compounds extracted by SPME, using divinylbenzene/Carboxen/polydimethylsiloxane fiber, it was possible to discriminate, in the roasted and ground coffee, the maturity stage and processing type used .

A gestão do conhecimento aplicada à reciclagem de componentes automotivos através do tratamento das informações contidas em documentos de patentes

This article evaluates the technologies adopted for recycling and reuse of automobile components, through the analysis of patents documents. The automobile batteries recycling is the main topic, followed by the automatic disassembly of vehicles, tires recycling and polyurethane recycling. None document approached recycling of steel and aluminum or ceramics products. The reduced number of technologies for the recycling of the polymeric compounds (including polyurethane) indicates that a bigger number of research and inventions must be elaborated in the next years, aiming at to the reduction of costs of processes and adequacy to the more restricted environmental legislation.

Experimento didático de quimiometria para análise exploratória de óleos vegetais comestíveis por espectroscopia no infravermelho médio e análise de componentes principais: um tutorial, parte I

This manuscript aims to show the basic concepts and practical application of Principal Component Analysis (PCA) as a tutorial, using Matlab or Octave computing environment for beginners, undergraduate and graduate students. As a practical example it is shown the exploratory analysis of edible vegetable oils by mid infrared spectroscopy.

Correlação entre precursores e voláteis em café arábica brasileiro processado pelas vias seca, semiúmida e úmida e discriminação através da análise por componentes principais

The influence of pre-processing of arabica coffee beans on the composition of volatile precursors including sugars, chlorogenic acids, phenolics, proteins, aminoacids, trigonelline and fatty acids was assessed and correlated with volatiles formed during roasting. Reducing sugars and free aminoacids were highest for natural coffees whereas total sugars, chlorogenic acids and trigonelline were highest for washed coffees. The highest correlation was observed for total phenolics and volatile phenolics (R= 0.999). Experimental data were evaluated by Principal Components Analysis and results showed that washed coffees formed a distinct group in relation to semi-washed and natural coffees.

A abordagem de questões ambientais: contribuições de formadores de professores de componentes curriculares da área de ensino de química

This paper presents the results of a study involving current teachers of the chemistry teaching curricular components of twelve Chemistry licentiate courses at state universities in the South and South-east of Brazil. The aim was to analyse how these curricular components can work together to address environmental issues in Chemistry teacher-training. From analysis of the interviews, it can be ascertained for example that environmental themes in the curricular components analysed are treated with differing levels of intensity and perspectives, and in some cases, have a more illustrative character regarding chemistry concepts.

Estudo da qualidade da gasolina tipo A e sua composição química empregando análise de componentes principais

The type A gasoline samples were analyzed by gas chromatography with flame ionization detector (GC-FID) which allowed quantifying and classifying of the various compounds into different classes of hydrocarbons. Several physicochemical parameters were evaluated according to the official methods in order to compare the results obtained against the limits established by the Agência Nacional de Petróleo, Gás Natural e Biocombustíveis (ANP, 2011). Additionally, principal component analysis (PCA) was applied to discriminate the samples studied, which revealed the separation of four groups according to their chemical composition determined in samples collected from the eight fuel distributors in the State of Pará.

MICROEMULSÕES: COMPONENTES, CARACTERÍSTICAS, POTENCIALIDADES EM QUÍMICA DE ALIMENTOS E OUTRAS APLICAÇÕES

Microemulsions (MEs) are thermodynamically stable systems consisting of nanosized droplets dispersed in a solvent continuous medium (known as pseudo-phase), which is immiscible with the dispersed phase. These systems consist of water, a hydrophobic solvent called "oil," an amphiphile and often, a co-surfactant that is normally a medium chain alcohol. A large number of publications describe the importance of MEs in many branches of chemistry, and there is an intensive search for new applications. In addition, MEs have been applied in many areas, including oil extraction, removal of environmental pollutants from soils and effluents, dissolution of additives in lubricants and cutting oils, cleaning processes, dyeing and textile finishing, as nanoreactors to obtain nanoparticles of metals, semiconductors, superconductors, magnetic and photographic materials, and latex. However, only some studies indicate the potential applications of MEs in food and even fewer evaluate their chemical behavior. Potential applications of MEs in food comprise dissolution of lipophilic additives, stabilization of nutrients and biologically active compounds, using as an antimicrobial agent and to maximize the efficiency of food preservatives. This work consists of a literature review focusing on composition and physical and chemical characteristics of microemulsions. Despite the small number of studies on the subject reported in the literature, we demonstrate some potential applications of MEs in food chemistry.

PROPOSTA EXPERIMENTAL DIDÁTICA PARA O ENSINO DE ANÁLISE DE COMPONENTES PRINCIPAIS

Principal component analysis (PCA) is a chemometric method that allows for the extraction of chemical information that would otherwise be impossible to determine. Teaching chemometrics to undergraduates can contribute to the overall professional development and training of new teachers, whose profiles have been gaining attention due to the current demand for data interpretation. In this study, a didactic experiment involving PCA is proposed. Spectrophotometry was used in the ultraviolet-visible (UV-Vis) region to assess the behavior of anthocyanins extracted from red cabbage at different pH values. The results suggest the possible separation of anthocyanin structures into three distinct groups, according to their chemical characteristics displayed in acid, neutral, and basic media. The objective is to develop educational materials targeted to undergraduate courses, which encompass a larger number of concepts and introduce instrumental techniques currently being employed in both academic research and the industrial sector. Specifically, the proposed experiment introduces concepts related to spectrophotometry in the UV-Vis range and the PCA chemometric method. The materials used are easily accessible, and UV-Vis spectroscopy equipment is less expensive in comparison with other spectroscopy methods.

REDUÇÃO DE VARIÁVEIS DE ENTRADA DE REDES NEURAIS ARTIFICIAIS A PARTIR DE DADOS DE ANÁLISE DE COMPONENTES PRINCIPAIS NA MODELAGEM DE OXIGÊNIO DISSOLVIDO

The objective of this work is to demonstrate the efficient utilization of the Principal Components Analysis (PCA) as a method to pre-process the original multivariate data, that is rewrite in a new matrix with principal components sorted by it's accumulated variance. The Artificial Neural Network (ANN) with backpropagation algorithm is trained, using this pre-processed data set derived from the PCA method, representing 90.02% of accumulated variance of the original data, as input. The training goal is modeling Dissolved Oxygen using information of other physical and chemical parameters. The water samples used in the experiments are gathered from the Paraíba do Sul River in São Paulo State, Brazil. The smallest Mean Square Errors (MSE) is used to compare the results of the different architectures and choose the best. The utilization of this method allowed the reduction of more than 20% of the input data, which contributed directly for the shorting time and computational effort in the ANN training.

Reação de genótipos de Vigna unguiculata à sarna e efeito da doença sobre componentes de produção

O fungo Elsinoe phaseoli, agente causal da sarna, tem sido responsável por sérios prejuízos aos produtores de feijão-de-corda (Vigna unguiculata), em particular, nos cultivos que se estabelecem em regiões montanhosas e na época das chuvas, no Ceará. O presente trabalho objetivou, além de identificar fontes de resistência à sarna, avaliar os efeitos da doença sobre o rendimento agrícola e seus componentes, a qualidade do grão e o ciclo da cultura. Num ensaio delineado em blocos ao acaso, com quatro repetições, instalado em Tianguá, CE, sob regime de irrigação e em sequeiro, por dois anos: 1995 e 1996, 16 genótipos foram avaliados quanto a variáveis relacionadas ao ciclo, rendimento de grãos e sintomas de sarna. Procederam-se análises quanto à variância, comparações entre médias dos tratamentos, correlação e regressão. Constatou-se que as plantas suscetíveis à sarna sofrem seus efeitos negativos sobre ciclo e produção de grãos; as cultivares e linhagens avaliadas apresentaram variabilidade quanto à reação à doença. A cultivar EPACE V-96, pela produtividade, precocidade e grau de resistência à sarna, é a mais indicada como genitor, visando o melhoramento genético do feijão-de-corda para o ambiente da Ibiapaba, CE.

Componentes fenólicos e enzimas oxidativas em clones de Theobroma cacao resistentes e suscetíveis a Crinipellis perniciosa

Os níveis de fenóis solúveis totais e a atividade das enzimas oxidativas polifenoloxidases e peroxidases foram estudados em tecidos foliares sadios dos clones de cacaueiro (Theobroma cacao) SCA 6, TSH 1188, TSH 565, TSH 516, EET 397, EET 62, TSA 641, SIAL 505, RIM 106, RIM 52, SIC 24 e UF 613, com o objetivo de estudar possível(is) mecanismo(s) de resistência de cacaueiro a Crinipellis perniciosa. Os níveis de fenóis solúveis totais foram mais elevados em clones de cacaueiro com resistência a C. perniciosa, e podem estar contribuindo na resposta de defesa contra o patógeno. A atividade de polifenoloxidases foi menor nos clones resistentes do que nos clones suscetíveis. A atividade de peroxidases em folhas maduras foi menor nos clones resistentes, mas em folhas jovens não foi possível estabelecer uma relação da atividade de peroxidase com os clones resistentes. Os níveis de fenóis e a atividade das enzimas oxidativas correlacionaram-se de forma inversa na maioria dos clones estudados, o que pode indicar uma inibição das enzimas peroxidases e polifenoloxidases pelos compostos fenólicos.

Quantificação de componentes monocíclicos da mancha angular do feijoeiro

Foram realizados experimentos em ambiente controlado, em câmaras de crescimento, com duas cultivares de feijoeiro (Phaseolus vulgaris), Rosinha e Carioca, para a quantificação de componentes monocíclicos da mancha angular. Os componentes monocíclicos avaliados foram: período de incubação, severidade da doença e taxa de crescimento das lesões, sob as temperaturas de 6, 10, 14, 17, 21, 25, 29 e 33 ºC. Nenhum sintoma da mancha angular ocorreu em 6 e 33 ºC. A severidade da mancha angular foi elevada na faixa de temperatura entre 20 e 25 ºC e o período de incubação foi favorecido pela temperatura de 25 ºC, para as duas cultivares testadas. Esta temperatura também proporcionou a maior taxa de crescimento das lesões e estes dados foram ajustados, em função da temperatura por uma equação do primeiro grau. O efeito do período de molhamento foliar (5, 6, 12, 18, 24, 30, 36, 42, 48 e 54 h) na severidade da doença também foi avaliado. A severidade da mancha angular do feijoeiro aumentou com o aumento da duração do molhamento foliar até o máximo de 54 h. As variações de severidade da mancha angular do feijoeiro, em relação ao número de horas de molhamento foliar, foram explicadas pelo modelo de Richards. A função Beta-Richards explicou o efeito combinado da temperatura e da duração do molhamento foliar na severidade da mancha angular do feijoeiro para ambas as cultivares.