Pozzolanic activity of oil-refining catalyst: evaluation by electron and atomic microscopy

The reuse of waste fluid catalytic cracking (FCC) catalyst as partial surrogate for cement can reduce the environmental impact of both the oil-refinery and cement production industries [1,2]. FCC catalysts can be considered as pozzolanic materials since in the presence of water they tend to chemically react with calcium hydroxide to produce compounds possessing cementitious properties [3,4]. In addition, partial replacement of cement with FCC catalysts can enhance the performance of pastes and mortars, namely by improving their compressive strength [5,6]. In the present work the reaction of waste FCC catalyst with Ca(OH)2 has been investigated after a curing time of 28 days by scanning electron microscopy (SEM) with electron backscattered signal (BSE) combined with X-ray energy dispersive spectroscopy (EDS) carried out with a JEOL JSM 7001F instrument operated at 15 kV coupled to an INCA pentaFetx3 Oxford spectrometer. The polished cross-sections of FCC particles embedded in resin have also been evaluated by atomic force microscopy (AFM) in contact mode (CM) using a NanoSurf EasyScan 2 instrument. The SEM/EDS results revealed that an inward migration of Ca occurred during the reaction. A weaker outward migration of Si and Al was also apparent (Fig. 1). The migration of Ca was not homogeneous and tended to follow high-diffusivity paths within the porous waste FCC catalyst particles. The present study suggests that the porosity of waste FCC catalysts is key for the migration/reaction of Ca from the surrounding matrix, playing an important role in the pozzolanic activity of the system. The topography images and surface roughness parameters obtained by atomic force microscopy can be used to infer the local porosity in waste FCC catalyst particles (Fig. 2).

Research progress on reuse of fluid catalytic cracking waste from oil refinery in cement-based materials

Present paper present the main results obtained in the scope of an ongoing project which aims to contribute to the valorization of a waste generated by the Portuguese oil company in construction materials. This waste is an aluminosilicate with high pozzolanic reactivity. Several different technological applications had already been tested with success both in terms of properties and compliance with the corresponding standards specifications. Namely, this project results already demonstrated that this waste can be used in traditional concrete, self-compacted concrete, mortars (renders, masonry mortar, concrete repair mortars), cement main constituent as well as alkali activated binders.

Fast unsupervised technique for extraction of endmembers spectra from hyperspectral data

One of the most challenging task underlying many hyperspectral imagery applications is the linear unmixing. The key to linear unmixing is to find the set of reference substances, also called endmembers, that are representative of a given scene. This paper presents the vertex component analysis (VCA) a new method to unmix linear mixtures of hyperspectral sources. The algorithm is unsupervised and exploits a simple geometric fact: endmembers are vertices of a simplex. The algorithm complexity, measured in floating points operations, is O (n), where n is the sample size. The effectiveness of the proposed scheme is illustrated using simulated data.

Fast unsupervised extraction of endmembers spectra from hyperspectral data

Linear unmixing decomposes an hyperspectral image into a collection of re ectance spectra, called endmember signatures, and a set corresponding abundance fractions from the respective spatial coverage. This paper introduces vertex component analysis, an unsupervised algorithm to unmix linear mixtures of hyperpsectral data. VCA exploits the fact that endmembers occupy vertices of a simplex, and assumes the presence of pure pixels in data. VCA performance is illustrated using simulated and real data. VCA competes with state-of-the-art methods with much lower computational complexity.

Comparison of Disposable Pipette Extraction and Dispersive Solid-Phase Extraction in the QuEChERS Method for Analysis of Pesticides in Strawberries

In this study, we sought to assess the applicability of GC–MS/MS for the identification and quantification of 36 pesticides in strawberry from integrated pest management (IPM) and organic farming (OF). Citrate versions of QuEChERS (quick, easy, cheap, effective, rugged and safe) using dispersive solid-phase extraction (d-SPE) and disposable pipette extraction (DPX) for cleanup were compared for pesticide extraction. For cleanup, a combination of MgSO4, primary secondary amine and C18 was used for both the versions. Significant differences were observed in recovery results between the two sample preparation versions (DPX and d-SPE). Overall, 86% of the pesticides achieved recoveries (three spiking levels 10, 50 and 200 µg/kg) in the range of 70–120%, with <13% RSD. The matrix effects were also evaluated in both the versions and in strawberries from different crop types. Although not evidencing significant differences between the two methodologies were observed, however, the DPX cleanup proved to be a faster technique and easy to execute. The results indicate that QuEChERS with d-SPE and DPX and GC–MS/MS analysis achieved reliable quantification and identification of 36 pesticide residues in strawberries from OF and IPM.

Possibilidade e rentabilidade da utilização do gás de xisto em Portugal

Mestrado em Engenharia Mecânica- Energia

Doseamento da Azadiractina e avaliação da atividade antimicrobiana em produtos contendo óleo de Neem

O Neem (Azadirachta indica) é uma árvore indiana conhecida pela atividade pesticida e por várias atividades farmacológicas. De entre os vários compostos já isolados e estudados, a Azadiractina (AZA) foi identificada como o principal composto bioativo desta planta. Este composto apresenta uma grande diversidade de localizações nesta planta, porém assume a sua máxima concentração ao nível das sementes, porção que se apresenta também como a principal fonte de obtenção do óleo de Neem. O óleo apresenta-se como a porção menos estudada do Neem, quer ao nível do seu teor em AZA, quer ao nível das suas propriedades, nomeadamente antimicrobianas. Neste sentido, os objetivos primordiais deste estudo foram o doseamento da Azadiractina e a avaliação da atividade antimicrobiana em produtos contendo óleo de Neem. Um método analítico rápido, sensível e seletivo utilizando HPLC-UV foi desenvolvido para a identificação e quantificação da Azadiractina-A (AZA-A) e 3-tigloylazadirachtol (AZA-B) em diferentes amostras de óleo de Neem. O teor de AZA-A, B e A+B determinado nas amostras de óleo de Neem apresentou valores entre 58,53-843,42 mg/kg, 12,52-800,223 mg/kg e 104,20-1642,17 mg/kg, respetivamente. Na generalidade, os valores obtidos foram inferiores aos descritos na literatura. A partir dos resultados obtidos, verificou-se ainda que o teor destes compostos não é similar em todas as amostras, sendo este condicionado pela qualidade das sementes que deram origem ao óleo e pelo processo extrativo utilizado. Para além disso, foi possível inferir que duas das amostras testadas teriam qualidade inferior, dados os teores reduzidos de AZA que apresentavam. As diferentes amostras de óleo de Neem, bem como formulações comerciais contendo óleo de Neem, foram testadas em 14 microrganismos de forma a avaliar o seu potencial antimicrobiano. Após a análise, verificou-se atividade antimicrobiana de todas as amostras sobre todos os microrganismos testados, observando-se atividade tanto em bactérias Gram+ como Gram-. Os resultados alcançados mostraram que o óleo de Neem e as formulações comerciais contendo óleo de Neem têm um potencial antimicrobiano interessante, principalmente sobre bactérias comuns em patologias da pele. Para além disso, foi possível comprovar que, no caso do óleo de Neem, a AZA não será a principal responsável por esta atividade. Por outro lado, verificou-se que a atividade antimicrobiana das formulações comerciais não se deverá exclusivamente à presença do óleo de Neem, Doseamento da Azadiractina e avaliação da atividade antimicrobiana em produtos contendo óleo de Neem X uma vez que os valores dos halos de inibição obtidos com as formulações tenderam a ser superiores aos verificados apenas com o óleo, além de que os valores de inibição mais elevados foram observados para as formulações contendo menor percentagem de óleo de Neem incorporado. Em suma, os resultados alcançados para os diferentes produtos analisados são promissores e, na sua maioria, convergem com o que está descrito na literatura. No entanto, apesar destes resultados serem um grande contributo, mais estudos são necessários e importantes para conhecer melhor os produtos analisados e assim poder tirar o maior proveito deles.

Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets

The study of electricity markets operation has been gaining an increasing importance in the last years, as result of the new challenges that the restructuring process produced. Currently, lots of information concerning electricity markets is available, as market operators provide, after a period of confidentiality, data regarding market proposals and transactions. These data can be used as source of knowledge to define realistic scenarios, which are essential for understanding and forecast electricity markets behavior. The development of tools able to extract, transform, store and dynamically update data, is of great importance to go a step further into the comprehension of electricity markets and of the behaviour of the involved entities. In this paper an adaptable tool capable of downloading, parsing and storing data from market operators’ websites is presented, assuring constant updating and reliability of the stored data.

Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations

Electricity markets worldwide suffered profound transformations. The privatization of previously nationally owned systems; the deregulation of privately owned systems that were regulated; and the strong interconnection of national systems, are some examples of such transformations [1, 2]. In general, competitive environments, as is the case of electricity markets, require good decision-support tools to assist players in their decisions. Relevant research is being undertaken in this field, namely concerning player modeling and simulation, strategic bidding and decision-support.

Declarative approach to data extraction of web pages

Thesis submitted to Faculdade de Ciências e Tecnologia of the Universidade Nova de Lisboa, in partial fulfilment of the requirements for the degree of Master in Computer Science

Synthesis of biodiesel from wastes of food industry via direct transesterification with methanol/carbon dioxide mixtures

Dissertation presented at Faculdade de Ciências e Tecnologia from Universidade Nova de Lisboa to obtain the degree of Master in Chemical and Biochemical Engineering

Produção de SCO (Single Cell Oil) para biodiesel a partir da microalga Chlorella protothecoides em diversos bioreactores com troca simbiótica de correntes gasosas

Dissertação para obtenção do Grau de Mestre em Biotecnologia

Natural antioxidants extraction and their incorporation into model pharmaceutical systems

Dissertation to obtain a Master Degree in Biotechnology

XDense: A Dense Grid Sensor Network for Distributed Feature Extraction

XXXIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2015). 15 to 19, May, 2015, III Workshop de Comunicação em Sistemas Embarcados Críticos. Vitória, Brasil.

Generalized Extraction of Real-Time Parameters for Homogeneous Synchronous Dataflow Graphs

23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2015). 4 to 6, Mar, 2015. Turku, Finland.