The role of Pb oxidation state of the precursor in the formation of 2D perovskite microplates

Two-dimensional (2D) lead halide perovskites are an exciting class of materials currently being extensively explored for photovoltaics and other optoelectronic applications. Their ionic nature makes them ideal candidates for solution processing into both thin films and nanostructured crystals. Understanding how 2D lead halide perovskite crystals form is key towards full control over their physical properties, which may enable new physical phenomena and devices. Here, we investigate the effects of the Pb oxidation state of the initial inorganic precursor on the growth of pure-phase (n = 1) - Popper 2D perovskite BA2PbI4 in single-step synthesis. We examine the different crystallisation routes in exposing PbO2 and PbI2 powders to a BAI : IPA organo-halide solution, by combining in situ optical microscopy, UV-VIS spectroscopy and time-resolved high performance liquid chromatography. So far, works using PbO2 to synthesise 3D LHPs introduce a preceding step to reduce PbO2 into either PbO or PbI2. In this work, we find that BA2PbI4 is directly formed when exposing PbO2 to BAI : IPA without the need for an external reducing agent. We explain this phenomenon by the spontaneous reduction/oxidation of PbO2/BAI that occurs under iodine-rich conditions. We observe differences in the final morphology (rectangles vs. octagons) and nanocrystal growth rate, which we explain through the different chemistry and iodoplumbate complexes involved in each case. As such, this work spans the horizon of usable lead precursors and offers a new turning knob to control crystal growth in single-step LHP synthesis.</p

Modelagem do desenvolvimento de trigo considerando diferentes temperaturas cardinais e métodos de cálculo da função de resposta à temperatura Modeling wheat development considering different cardinal temperatures and methods for the temperature response function calculation

O objetivo deste trabalho foi melhorar a estimativa dos estádios de desenvolvimento de genótipos brasileiros de trigo (Triticum aestivum) realizada por meio do modelo WE-Streck. Foram avaliadas diferentes combinações de temperaturas cardinais e métodos de cálculo da função de resposta à temperatura. Dados referentes às datas da emergência, da emissão da espigueta terminal, da antese e da maturidade fisiológica de seis genótipos brasileiros de trigo semeados em 11 datas ao longo de três anos (2005, 2006 e 2007) em Santa Maria, RS, foram usados para estimar os coeficientes do modelo WE-Streck modificado e testar as diferentes combinações de temperaturas cardinais e métodos de cálculo da função de resposta à temperatura. Para os genótipos BRS Louro, BRS 177, CEP 51, CEP 52 e Nova Era, a simulação do desenvolvimento com o modelo de WE-Streck é melhor quando são usados maiores valores de temperaturas cardinais ótima e máxima, em comparação às usadas originalmente no modelo. Para o genótipo BRS Tarumã, devem ser utilizadas as temperaturas cardinais do modelo WE-Streck original. É recomendável usar as temperaturas mínimas e máximas diárias para calcular a função de resposta à temperatura quando o modelo WE-Streck for usado para simulação do desenvolvimento de genótipos brasileiros de trigo.<br>The objective of this work was to improve the prediction of developmental stages of Brazilian wheat (Triticum aestivum) genotypes made using the WE-Streck model. Different combinations of cardinal temperatures and methods of calculating the temperature response function were evaluated. Data regarding the dates of emergence, terminal spikelet, anthesis, and physiological maturity of six Brazilian wheat genotypes sown on 11 dates during three years (2005, 2006, and 2007) at Santa Maria, RS, Brazil, were used to estimate the WE-Streck model coefficients and to evaluate the different combinations of cardinal temperatures and methods for calculating the temperature response function. For the genotypes BRS Louro, BRS 177, CEP 51, CEP 52, and Nova Era, the simulation of the development with the WE-Streck model is better with higher values of optimum and maximum cardinal temperatures compared to those originally used in the model. For the genotype BRS Tarumã, the cardinal temperatures from the original version of the WE-Streck model should be used. It is recommended that the minimum and maximum daily temperatures be used to calculate the temperature response function when the WE-Streck model is selected for simulating the development of Brazilian wheat genotypes

Potencial da água na folha como um indicador de déficit hídrico em milho Leaf water potential as an indicator of water deficit in maize

Este trabalho foi desenvolvido na Estação Experimental Agronômica da Universidade Federal do Rio Grande do Sul, localizada no município de Eldorado do Sul, nos anos agrícolas de 1993/94 e 1994/95. O objetivo foi avaliar o potencial da água na folha como indicador do déficit hídrico, em milho (Zea mays L.), relacionando-o ao potencial da água no solo. O experimento constou de três níveis de irrigação, desde a capacidade de campo até a ausência de irrigação. Os valores do potencial mínimo da água na folha foram desde -1,2 a -1,5 MPa em plantas irrigadas (na capacidade de campo) e de -1,6 a -2,0 MPa em plantas não irrigadas. O potencial mínimo da água na folha correlacionou-se com o potencial matricial da água no solo a 45 cm de profundidade (r² = 0,73), e mostrou ser um indicador adequado de déficit hídrico. O potencial da água na folha ao entardecer mostrou relação com o potencial mínimo da água na folha, indicando, assim, que pode ser utilizado como indicador de déficit hídrico. O potencial foliar de base apresentou diferenças evidentes entre os tratamentos extremos, mas não teve relação consistente com o potencial mínimo da água na folha.<br>This study was carried out at the Agronomic Experimental Station of the Federal University of Rio Grande do Sul, in Eldorado do Sul, RS, Brazil, during the agricultural seasons of 1993/94 and 1994/95. The objective was to evaluate the leaf water potential as an indicator of the water deficit in maize (Zea mays L.), and its relation with the soil water potential. The experiment comprised three levels of irrigation, from field capacity to absence of irrigation. The values of the minimum leaf water potential ranged from -1.2 to -1.5 MPa in irrigated plants (field capacity) and from -1.6 to -2.0 MPa in nonirrigated plants. The minimum leaf water potential was well correlated to the matric water potential measured at 45 cm deep (r² = 0.73). The sunset leaf water potential showed relationship with the minimum leaf water potential indicating it to be an indicator of water deficit. The predawn leaf water potential showed clear differences between the utmost treatments, but did not show any consistent relationship with the minimum leaf water potential