Rhizotoxicity of aluminate and polycationic aluminium at high pH

Although monomeric Al species are often toxic in acidic soils, the effects of the aluminate ion (Al(OH)4-) on roots grown in alkaline media are still unclear. Dilute, alkaline (pH 9.5) nutrient solutions were used to investigate the effects of Al(OH)4- on root growth of mungbean (Vigna radiata L.). Root growth was reduced by 13 % after 3 d growth in solutions with an Al(OH)4- activity of 16 μM and no detectable polycationic Al (Al13). This decrease in root growth was associated with the formation of lesions on the root tips (due to the rupturing of the epidermal and outer cortical cells) and a slight limitation to root hair growth (particularly on the lateral roots). When roots displaying these symptoms were transferred to fresh Al(OH)4- solutions for a further 12 h, no root tip lesions were observed and root hair growth on the lateral roots improved. The symptoms were similar to those induced by Al13 at concentrations as low as 0.50 μM Al which are below the detection limit of the ferron method. Thus, Al(OH)4- is considered to be non-toxic, with the observed reduction in root growth in solutions containing Al(OH)4- due to the gradual formation of toxic Al13 in the bulk nutrient solution resulting from the acidification of the alkaline nutrient solution by the plant roots.

Argilas bentoníticas da península de Santa Elena, Equador: pilarização, ativação ácida e seu uso como descolorante de óleo de soja

Two samples of calcic bentonite of the Santa Elena Peninsula, Ecuador, were pillared with Al13 ions in the ratio of 10, 15 and 20 meq of Al g-1 of clay, calcinated at 573, 723 and 873 ºK and acid activated with 4, 6 and 8 mol L-1 H2SO4. Analyses by X-ray diffraction, X-ray fluorescence, differential and gravimetric thermal, density, surface area and porosity, were applied in order to study the modifications occurred in the crystalline structure of the montmorillonite. The 8 mol L-1 H2SO4 acid-activated 15 meq of Al g-1 of clay at 573 ºK Al-pillared samples indicated the best results in the bleaching of the soybean oil measured by UV-visible spectrophotometer.

Influência da temperatura de formação do íon de Keggin no processo de pilarização de esmectitas

As amostras de esmectita do estado do Pará, Amazônia, Brasil foram caracterizados utilizando XRD, FTIR e análise textural por curvas isotérmicas adsorpition-desorption nitrogênio. Na produção das argilas pilarizadas foi usado o íon Al13 (o íon de keggin), este íon foi obtido pela reação das soluções AlC(l3)6H2O / NaOH, com razão molar OH/Al=2, com intercalação em temperatura ambiente, durante as 3 horas e calcinada em 450ºC (temperatura adequada da calcinação). O material foi preparado utilizando soluções produzidas na faixa de temperatura de 25, 45, 65, 85, 105ºC, o Resultado mostrou que o processo de pilarização aumenta o espaçamento basal da argila natural de 14,02 para 19,74 Å e a área superficial de 44,30 para 198,03m²/g. a estabilidade térmica da argila natural foi melhorada pelo procedimento de pilarização.

Aplicação de Al-PILC na adsorção de Cu2+, Ni2+e Co2+ utilizando modelos físico-químicos de adsorção

Amostra de esmectita pertencente a Serra de Maicuru (Estado do Pará, Norte do Brasil, região amazônica) foi pilarizada com Al13, A Argila pilarizada com alumínio (Al-PILC) foi caracterizada por DRX, MEV e EDS. Para a análise textural foram utilizadas isotermas de adsorção-desorção utilizando o nitrogênio. Este artigo é dirigido ao estudo da adsorção de metais pesados. A adsorção dos íons de Cu2+, Ni2+e Co2+ foi realizadas com a matriz Al-PILC em temperatura ambiente com soluções aquosas contendo os íons metálicos. Os modelos de adsorção adotados foram os de Langmuir, Freundlich e Temkin que foram aplicados aos valores obtidos experimentalmente com regressão linear. A equação de Langmuir foi o melhor modelo de linearização com r = 0,999. A equação de Freundlich apresentou limitações em altas concentrações, mas foram obtidos valores (Kf e n) bastante aceitáveis utilizando este modelo. Os parâmetros foram utilizados para calcular a quantidade de Nf em função de Cs.

Influência de argilas pilarizadas na decomposição catalítica do óleo de andiroba

Amostras de esmectitas oriundas do estado do Pará, região amazônica, Brasil, foram usadas em processo de pilarização no presente estudo. As matrizes pilarizadas e natural foram caracterizadas usando DRX e analise textural usando isotermas de adsorção-desorção de nitrogênio. Os íons de intercalação (Al13, Ti, Zr) foram obtidos através de reações químicas com soluções de AlCl(3)6H2O/ NaOH, etoxido de titânio/HCl, acetato de zircônio / HCl. Os resultados obtidos com o processo de pilarização apresentaram aumento do espaçamento basal de 15,6 para 20, 64 Å e área superficial de 44 para 358 m²/g (Zr-PILC). A estabilidade térmica da argila natural foi melhorada com o processo de pilarização. O material resultante foi submetido a um processo catalítico de decomposição do óleo de andiroba em um reator de leito fixo a 673 ± 1 K. A atividade catalítica foi determinada pelo produto de decomposição resultante da reação química. Os parâmetros físico-químicos foram obtidos usando DRX, FTIR e análise textural. As argilas pilarizadas apresentaram alta acidez de Brønsted, com alta concentração de hidrocarbonetos aromáticos e baixa concentração de hidrocarbonetos alifáticos.

Characterisation of the acid-base properties of pillared montmorillonites

Iron and mixed iron aluminium pillared montrnorillonites prepared by partial hydrolysis method were subjected to room temperature exchange with transition metals of the first series. The resulting materials were characterised by different spectroscopic techniques and surface area measurements. About 1-3% transition metals were incorporated into the porous network. The structural stability of the porous network was not affected by exchange. XRD and AI NMR spectroscopy evidenced the presence of iron substituted Al13 like polymers in FeAl pillared systems. Acidity and basicity benefited much as a result of metal exchange. Acidity and basicity were quantified by model reactions, viz., cumene cracking and cyclohexanol decomposition respectively. The presence of basic sites in otherwise acidic pillared clays, though diminutive in amount can be of much importance in acid base catalysed reactions.

Síntese de zeólitas e argilas ácidas pilarizadas a partir de matérias primas naturais

Structural changes in waste for zeolites synthesis are subject of many studies carried out in the synthesis of molecular sieves. These materials are named molecular sieves because they have well defined pore sizes and they have the capacity of select molecules by its size. In this work, it was studied the synthesis processes of two types of molecular sieves: pillared acid clays using as starting material one natural montmorillonite clay and the synthesis of zeolites from a silico-aluminous residue. This residue is a byproduct of the extraction of lithium -spodumene. The preparation of pillared acid clays was performed in two steps: 1° acid treatment of clay samples (time and temperature studies) and 2°pilarization of them with Al13 (Keggin ion). The temperature and acid concentration affect the removal of cations in the structure and porosity of the material obtained. The analysis of X-ray diffraction (XRD) and infrared spectroscopy (IR), showed that increasing the severity of the acid treatment compromises the structural material. Also the pore size distribution is approximately uniform. Despite presenting a structural disorganization, the samples were pillared. As evidenced by XRD increasing the basal spacing, specific area and uniform porosity by adsorption of N2. Regarding the microporous molecular sieves were synthesized zeolites A and NaP1 from a silico-aluminous residue, a byproduct of extracting lithium. The temperature and time of agitation during the synthesis were the most important factors for obtaining zeolite A. The aging of the gel and the highest crystallization time promoted the formation of zeolite NaP1 using a Si / Al ratio = 3.2

Argilas modificadas: remoção de antraceno e ácido 9-antróico como modelo para aromáticos (hpa) presentes em águas

Pós-graduação em Química - IBILCE

Influência da temperatura de formação do íon de Keggin no processo de pilarização de esmectitas

As amostras de esmectita do estado do Pará, Amazônia, Brasil foram caracterizados utilizando XRD, FTIR e análise textural por curvas isotérmicas adsorpition-desorption nitrogênio. Na produção das argilas pilarizadas foi usado o íon Al,₁₃ (o íon de keggin), este íon foi obtido pela reação das soluções AlC_l36H₂O/aOH, com razão molar OH/Al=2, com intercalação em temperatura ambiente, durante as 3 horas e calcinada em 450ºC (temperatura adequada da calcinação). O material foi preparado utilizando soluções produzidas na faixa de temperatura de 25, 45, 65, 85, 105ºC, o Resultado mostrou que o processo de pilarização aumenta o espaçamento basal da argila natural de 14,02 para 19,74 Å e a área superficial de 44,30 para 198,03m,²/g. a estabilidade térmica da argila natural foi melhorada pelo procedimento de pilarização.

Influência da razão Al/argila no processo de pilarização de esmectita

As amostras de esmectita do estado do Pará, Amazônia, Brasil foram caracterizadas utilizando XRD, ²⁷Al MAS NMR, FTIR e análise textural por curvas isotérmicas de adsorção-dessorção de nitrogênio. Na produção das argilas pilarizadas foi usado como íon intercalante, o Al₁₃ (o íon de keggin), obtido pela reação das soluções AlC_l36H₂O/NaOH, com razão molar OH/Al=2. Foram adotadas as proporções (Al/Argila): 5, 10, 20 e 25 meq/g de argila, com intercalação em 25 ºC, durante as 3 h e calcinada a 450 ºC (temperatura adequada da calcinação). O resultado mostrou que o processo de pilarização aumentou o espaçamento basal da argila natural de 14,02 para 18,84 Å e a área superficial de 44,30 para 198,03 m²/g (Al/Argila=25meq/g de argila, pH=4). O material preparado com relação Al/Argila=25meq/g de argila mostrou a incorporação máxima de Al. A estabilidade térmica da argila natural foi melhorada pelo procedimento de pilarização.

Influência de argilas pilarizadas na decomposição catalítica do óleo de andiroba

Amostras de esmectitas oriundas do estado do Pará, região amazônica, Brasil, foram usadas em processo de pilarização no presente estudo. As matrizes pilarizadas e natural foram caracterizadas usando DRX e analise textural usando isotermas de adsorção-desorção de nitrogênio. Os íons de intercalação (Al₁₃, Ti, Zr) foram obtidos através de reações químicas com soluções de AlCl₃6H₂O/ NaOH, etoxido de titânio/HCl, acetato de zircônio / HCl. Os resultados obtidos com o processo de pilarização apresentaram aumento do espaçamento basal de 15,6 para 20, 64 Å e área superficial de 44 para 358 m²/g (Zr-PILC). A estabilidade térmica da argila natural foi melhorada com o processo de pilarização. O material resultante foi submetido a um processo catalítico de decomposição do óleo de andiroba em um reator de leito fixo a 673 ± 1 K. A atividade catalítica foi determinada pelo produto de decomposição resultante da reação química. Os parâmetros físico-químicos foram obtidos usando DRX, FTIR e análise textural. As argilas pilarizadas apresentaram alta acidez de Brønsted, com alta concentração de hidrocarbonetos aromáticos e baixa concentração de hidrocarbonetos alifáticos.

Aplicação de Al-PILC na adsorção de Cu2+, Ni2+ e Co2+ utilizando modelos físico-químicos de adsorção

Amostra de esmectita pertencente a Serra de Maicuru (Estado do Pará, Norte do Brasil, região amazônica) foi pilarizada com Al₁₃, A Argila pilarizada com alumínio (Al-PILC) foi caracterizada por DRX, MEV e EDS. Para a análise textural foram utilizadas isotermas de adsorção-desorção utilizando o nitrogênio. Este artigo é dirigido ao estudo da adsorção de metais pesados. A adsorção dos íons de Cu²⁺, Ni²⁺e Co²⁺ foi realizadas com a matriz Al-PILC em temperatura ambiente com soluções aquosas contendo os íons metálicos. Os modelos de adsorção adotados foram os de Langmuir, Freundlich e Temkin que foram aplicados aos valores obtidos experimentalmente com regressão linear. A equação de Langmuir foi o melhor modelo de linearização com r = 0,999. A equação de Freundlich apresentou limitações em altas concentrações, mas foram obtidos valores (K_f e n) bastante aceitáveis utilizando este modelo. Os parâmetros foram utilizados para calcular a quantidade de N_f em função de Cs.

Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness. Evidence-based patient-centered Brief Motivational Interviewing (BMI) interven- tions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary. Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems. To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].

Síntese de zeólitas e argilas ácidas pilarizadas a partir de matérias primas naturais

Structural changes in waste for zeolites synthesis are subject of many studies carried out in the synthesis of molecular sieves. These materials are named molecular sieves because they have well defined pore sizes and they have the capacity of select molecules by its size. In this work, it was studied the synthesis processes of two types of molecular sieves: pillared acid clays using as starting material one natural montmorillonite clay and the synthesis of zeolites from a silico-aluminous residue. This residue is a byproduct of the extraction of lithium -spodumene. The preparation of pillared acid clays was performed in two steps: 1° acid treatment of clay samples (time and temperature studies) and 2°pilarization of them with Al13 (Keggin ion). The temperature and acid concentration affect the removal of cations in the structure and porosity of the material obtained. The analysis of X-ray diffraction (XRD) and infrared spectroscopy (IR), showed that increasing the severity of the acid treatment compromises the structural material. Also the pore size distribution is approximately uniform. Despite presenting a structural disorganization, the samples were pillared. As evidenced by XRD increasing the basal spacing, specific area and uniform porosity by adsorption of N2. Regarding the microporous molecular sieves were synthesized zeolites A and NaP1 from a silico-aluminous residue, a byproduct of extracting lithium. The temperature and time of agitation during the synthesis were the most important factors for obtaining zeolite A. The aging of the gel and the highest crystallization time promoted the formation of zeolite NaP1 using a Si / Al ratio = 3.2

Learning data-driven models of non-verbal behaviors for building rapport using an intelligent virtual agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness.^ Evidence-based patient-centered Brief Motivational Interviewing (BMI) interventions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary.^ Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems.^ To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].^