Características sensoriais, físicas e químicas e aceitação de arroz irrigado ou de terras altas

Resumo:O objetivo deste trabalho foi caracterizar química, física e sensorialmente três genótipos de arroz polido de cultivo irrigado e cinco de terras altas. Determinaram-se: a composição centesimal, o amido, a amilose, a temperatura de gelatinização (Tg), a absorção de água ao cozimento, a cor, a textura instrumental, o perfil sensorial e a aceitação de atributos. A composição centesimal e o teor de amido variaram entre os genótipos. O 'Moti' e a linhagem N2583 foram classificados como cerosos, 'Douradão' apresentou amilose muito baixa, e os demais genótipos, amilose baixa. 'Irga 417', 'Moti' e AB101002 apresentaram Tg baixa; 'Douradão', alta; e os demais, intermediária. O 'Moti' e a linhagem N2583 crus apresentaram os maiores valores de L*; no entanto, após o cozimento, esses valores diminuíram e foram idênticos em todos os genótipos. 'Arroz-da-terra' apresentou maior a*, 'BRS Primavera' e N2583 apresentaram maior b*; e após o cozimento, houve redução desses valores. Na análise sensorial, destacaram-se 'AN Cambará', por pontos escuros e formato alongado; AB101002, 'Irga 417' e 'BRS Primavera', pela firmeza, cor branca e grãos soltos, que foram bem aceitos; e o 'Moti', por ser pegajoso, macio e com brilho, foi o menos aceito. Os atributos sensoriais do arroz são mais associados a características químicas, intrínsecas ao genótipo, do que à atribuição de plantio a terras altas ou irrigadas

Magnetic susceptibility to identify landscape segments on a detailed scale in the region of Jaboticabal, São Paulo, Brazil

The agricultural potential is generally assessed and managed based on a one-dimensional vision of the soil profile, however, the increased appreciation of sustainable production has stimulated studies on faster and more accurate evaluation techniques and methods of the agricultural potential on detailed scales. The objective of this study was to investigate the possibility of using soil magnetic susceptibility for the identification of landscape segments on a detailed scale in the region of Jaboticabal, São Paulo State. The studied area has two slope curvatures: linear and concave, subdivided into three landscape segments: upper slope (US, concave), middle slope (MS, linear) and lower slope (LS, linear). In each of these segments, 20 points were randomly sampled from a database with 207 samples forming a regular grid installed in each landscape segment. The soil physical and chemical properties, CO2 emissions (FCO2) and magnetic susceptibility (MS) of the samples were evaluated represented by: magnetic susceptibility of air-dried fine earth (MS ADFE), magnetic susceptibility of the total sand fraction (MS TS) and magnetic susceptibility of the clay fraction (MS Cl) in the 0.00 - 0.15 m layer. The principal component analysis showed that MS is an important property that can be used to identify landscape segments, because the correlation of this property within the first principal component was high. The hierarchical cluster analysis method identified two groups based on the variables selected by principal component analysis; of the six selected variables, three were related to magnetic susceptibility. The landscape segments were differentiated similarly by the principal component analysis and by the cluster analysis using only the properties with higher discriminatory power. The cluster analysis of MS ADFE, MS TS and MS Cl allowed the formation of three groups that agree with the segment division established in the field. The grouping by cluster analysis indicated MS as a tool that could facilitate the identification of landscape segments and enable the mapping of more homogeneous areas at similar locations

The spectroelectrochemical behaviour of redox-active manganese salen complexes

Salens are well-known for their ability to catalyse electrochemical transformations; however, despite their rich history, the fundamental reduction chemistry of these systems remains relatively unexplored. This work reports the design and synthesis of eight discrete, functionalised Mn(iii) pyridyl salen metal complexes, in which the diamine is varied. The electrochemical properties of the complexes were examined using cyclic voltammetry (CV), spectroelectrochemical (SEC) techniques and Density Functional Theory (DFT) computational modelling to explore the mechanisms that underly Mn salen reduction chemistry. We briefly examine the electrochemistry of these complexes in the presence of CO₂. These complexes represent potential ligands for incorporation into both discrete and extended metallosupramolecular assemblies.Marcello B. Solomon, Bun Chan, Clifford P. Kubiak, Katrina A. Jolliffe and Deanna M. D’Alessandr

Electroactive Co(III) salen metal complexes and the electrophoretic deposition of their porous organic polymers onto glassy carbon

This paper reports the CO₂ electroreduction properties of three bis-bromo Co(III) salen metal complexes and their Porous Organic Polymers (POPs) as a platform for using the salen core as a multi-electron reducing agent. Although Co(III) salen metal complexes have been studied extensively for their chemical catalysis with CO₂, their electrochemical behaviour, particularly their reduction, in the presence of CO₂ is much less explored. The discrete Co(III) complexes enabled the reduction of CO₂ to CO in faradaic efficiencies of up to 20%. The reductive electrochemical processes of Co(III) salen complexes are relatively unknown; therefore, the mechanism of reduction for the complexes was investigated using IR and UV-Vis-NIR spectroelectrochemical (SEC) techniques. The discrete bis-bromo salen complexes were incorporated into POPs with tris-(p-ethynyl)-triphenylamine as a co-ligand and were characterised using solid state NMR, IR, UV-Vis-NIR and Field Emission Scanning Electron Microscopy (FE-SEM). The POP materials were electrophoretically deposited onto glassy carbon under milder conditions than those previously reported in the literature. Direct attachment of the POP materials to glassy carbon enabled improved solid state electrochemical analysis of the samples. The POP materials were also analysed via SEC techniques, where a Co(II/I) process could be observed, but further reductions associated with the imine reduction compromised the stability of the POPs.Marcello B. Solomon, Aditya Rawal, James M. Hook, Seth M. Cohen, Clifford P. Kubiak, Katrina A. Jolliffe and Deanna M. D'Alessandr

A Family of Principal Component Analyses for Dealing with Outliers

Principal Component Analysis (PCA) has been widely used for dimensionality reduction in shape and appearance modeling. There have been several attempts of making PCA robust against outliers. However, there are cases in which a small subset of samples may appear as outliers and still correspond to plausible data. The example of shapes corresponding to fractures when building a vertebra shape model is addressed in this study. In this case, the modeling of "outliers" is important, and it might be desirable not only not to disregard them, but even to enhance their importance. A variation on PCA that deals naturally with the importance of outliers is presented in this paper. The technique is utilized for building a shape model of a vertebra, aiming at segmenting the spine out of lateral X-ray images. The results show that the algorithm can implement both an outlier-enhancing and a robust PCA. The former improves the segmentation performance in fractured vertebrae, while the latter does so in the unfractured ones.</p

An incomplete Hessian Newton minimization method and its application in a chemical database problem

Unconstraint minimization, Incomplete Hessian matrix, Convergence analysis, Truncated Newton, Chemical database analysis,