Modifying fish gelatin electrospun membranes for biomedical applications: cross- linking and swelling behavior

Development of suitable membranes is a fundamental requisite for tissue and biomedical engineering applications. This work presents fish gelatin random and aligned electrospun membranes cross-linked with glutaraldehyde (GA). It was observed that the fiber average diameter and the morphology is not influenced by the GA exposure time and presents fibers with an average diameter around 250 nm. Moreover, when the gelatin mats are immersed in a phosphate buffered saline solution (PBS), they can retain as much as 12 times its initial weight of solution almost instantaneously, but the material microstructure of the fiber mats changes from the characteristic fibrous to an almost spherical porous structure. Cross-linked gelatin electrospun fiber mats and films showed a water vapor permeability of 1.37 ± 0.02 and 0.13 ± 0.10 (g.mm)/(m2.h.kPa), respectively. Finally, the processing technique and cross-linking process does not inhibit MC-3T3-E1 cell adhesion. Preliminary cell culture results showed good cell adhesion and proliferation in the cross-linked random and aligned gelatin fiber mats.

Effect of neutralization and cross-linking on the thermal degradation of chitosan electrospun membranes

Thermal degradation of as electrospun chitosan membranes and samples subsequently treated with ethanol and cross-linked with glutaraldehyde (GA) have been studied by thermogravimetry (TG) coupled with an infrared spectrometer (FTIR). The influence of the electrospinning process and cross-linking in the electrospun chitosan thermal stability was evaluated. Up to three degradation steps were observed in the TG data, corresponding to water dehydration reaction at temperatures below 100 ºC, loss of side groups formed between the amine groups of chitosan and trifluoroacetic acid between 150 – 270 ºC and chitosan thermal degradation that starts around 250 ºC and goes up to 400 ºC. The Kissinger model was employed to evaluate the activation energies of the electrospun membranes during isothermal experiments and revealed that thermal degradation activation energy increases for the samples processed by electrospinning and subsequent neutralization and cross-linking treatments with respect to the neat chitosan powder.

Construção de um biossensor para o doseamento de ureia baseado na inibição enzimática da amidase de pseudomonas aeruginosa com recurso a um eléctrodo selectivo de iões amónio

Era objectivo do presente trabalho o desenvolvimento de um biossensor baseado na inibição da amidase de Pseudomonas aeruginosa para a quantificação de ureia em diversas amostras com recurso a um eléctrodo selectivo de iões amónio (ISE). A ureia é um poderoso inibidor do centro activo da amidase (Acilamida hidrolase EC 3.5.1.4) de Pseudomonas aeruginosa a qual catalisa a hidrólise de amidas alifáticas produzindo o ácido correspondente e amónia. O extracto celular de Pseudomonas aeruginosa L10 contendo actividade de amidase foi imobilizado em membranas de poliétersulfona modificadas (PES) e em membranas de nylon Porablot NY Plus na presença de gelatina e de glutaraldeído (GA) como agente bifuncional. Estas membranas foram posteriormente utilizadas na construção do biossensor baseado no ISE, utilizando acetamida como substrato, a reacção enzimática foi seguida medindo os iões amónio produzidos pela hidrólise da amida alifática, e a resposta do biossensor apresentada como a velocidade inicial da reacção (mV.min-1). A optimização dos parâmetros de imobilização foi efectuada de acordo com a metodologia ANOVA. Assim, a mistura de 30μL extracto celular, 2μL GA (5%) e 10 μL Gelatina 15% (p/v) foi a que conduziu a uma melhor resposta do biossensor. Efectuou-se ainda o estudo de optimização de alguns parâmetros experimentais pH e tempo de incubação em ureia, este conduziu ao valor pH=7,2 como pH óptimo de resposta do biossensor e 20 min como tempo óptimo de incubação das membranas nas soluções de ureia, sendo neste caso a resposta do biossensor dada pela diferença das respostas do biossensor antes e após incubação. A calibração do biossensor foi efectuada em soluções contendo concentrações conhecidas de ureia preparadas em tampão Tris, leite e vinho caseiro, exibindo um limite de detecção de 2,0 ×10-6 M de ureia. A incubação das membranas em hidroxilamina 2M por um período de 2h permitiu a recuperação de 70% da actividade enzimática da membrana. O biossensor apresentou uma elevada estabilidade de armazenamento por um período de 55 dias revelando uma perda de apenas 15% da sua resposta. O biossensor desenvolvido apresenta uma sensibilidade de 58,245 mV.min-1 e um tempo de resposta de aproximadamente 20s. A resposta do biossensor foi linear para concentrações de ureia presentes no vinho na gama de 4-10 μM de ureia.

Influence of an unstable shoe on compensatory postural adjustments: an experimental evaluation

This study attempted to evaluate the influence of using an unstable shoe in muscle re-cruitment strategies and center of pressure (CoP) displacement after the application of an external perturba-tion. Fourteen healthy female subjects participated in this study. The electromyographic activity of medial ga-strocnemius, tibialis anterior, rectus femoris, biceps femoris, rectus abdominis and erector spinae muscles and the kinetic values to calculate the CoP were collected and analyzed after the application of an external pertur-bation with the subject in standing position, with no shoes and using unstable footwear. The results showed increased in medial gastrocnemius activity during the first compensatory postural adjustments and late com-pensatory postural adjustments when using an unstable shoe. There were no differences in standard deviation and maximum peak of anteroposterior displacement of CoP between measurements. From the experimental findings, one can conclude that the use of an unstable shoe leads to an increase in gastrocnemius activity with no increase in CoP displacement following an unexpected external perturbation.

Long-term price range forecast applied to risk management using regression models

Long-term contractual decisions are the basis of an efficient risk management. However those types of decisions have to be supported with a robust price forecast methodology. This paper reports a different approach for long-term price forecast which tries to give answers to that need. Making use of regression models, the proposed methodology has as main objective to find the maximum and a minimum Market Clearing Price (MCP) for a specific programming period, and with a desired confidence level α. Due to the problem complexity, the meta-heuristic Particle Swarm Optimization (PSO) was used to find the best regression parameters and the results compared with the obtained by using a Genetic Algorithm (GA). To validate these models, results from realistic data are presented and discussed in detail.

Addressing the facilities layout design problem through constraint logic programming

One of the most difficult problems that face researchers experimenting with complex systems in real world applications is the Facility Layout Design Problem. It relies with the design and location of production lines, machinery and equipment, inventory storage and shipping facilities. In this work it is intended to address this problem through the use of Constraint Logic Programming (CLP) technology. The use of Genetic Algorithms (GA) as optimisation technique in CLP environment is also an issue addressed. The approach aims the implementation of genetic algorithm operators following the CLP paradigm.

Distribution network short term scheduling in Smart Grid context

The large increase of Distributed Generation (DG) in Power Systems (PS) and specially in distribution networks makes the management of distribution generation resources an increasingly important issue. Beyond DG, other resources such as storage systems and demand response must be managed in order to obtain more efficient and “green” operation of PS. More players, such as aggregators or Virtual Power Players (VPP), that operate these kinds of resources will be appearing. This paper proposes a new methodology to solve the distribution network short term scheduling problem in the Smart Grid context. This methodology is based on a Genetic Algorithms (GA) approach for energy resource scheduling optimization and on PSCAD software to obtain realistic results for power system simulation. The paper includes a case study with 99 distributed generators, 208 loads and 27 storage units. The GA results for the determination of the economic dispatch considering the generation forecast, storage management and load curtailment in each period (one hour) are compared with the ones obtained with a Mixed Integer Non-Linear Programming (MINLP) approach.

Optimization techniques for power distribution planning with uncertainties: a comparative study

Important research effort has been devoted to the topic of optimal planning of distribution systems. The non linear nature of the system, the need to consider a large number of scenarios and the increasing necessity to deal with uncertainties make optimal planning in distribution systems a difficult task. Heuristic techniques approaches have been proposed to deal with these issues, overcoming some of the inherent difficulties of classic methodologies. This paper considers several methodologies used to address planning problems of electrical power distribution networks, namely mixedinteger linear programming (MILP), ant colony algorithms (AC), genetic algorithms (GA), tabu search (TS), branch exchange (BE), simulated annealing (SA) and the Bender´s decomposition deterministic non-linear optimization technique (BD). Adequacy of theses techniques to deal with uncertainties is discussed. The behaviour of each optimization technique is compared from the point of view of the obtained solution and of the methodology performance. The paper presents results of the application of these optimization techniques to a real case of a 10-kV electrical distribution system with 201 nodes that feeds an urban area.

A long-term swarm intelligence hedging tool applied to electricity markets

This paper proposes a swarm intelligence long-term hedging tool to support electricity producers in competitive electricity markets. This tool investigates the long-term hedging opportunities available to electric power producers through the use of contracts with physical (spot and forward) and financial (options) settlement. To find the optimal portfolio the producer risk preference is stated by a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance estimation and the expected return are based on a forecasted scenario interval determined by a long-term price range forecast model, developed by the authors, whose explanation is outside the scope of this paper. The proposed tool makes use of Particle Swarm Optimization (PSO) and its performance has been evaluated by comparing it with a Genetic Algorithm (GA) based approach. To validate the risk management tool a case study, using real price historical data for mainland Spanish market, is presented to demonstrate the effectiveness of the proposed methodology.

Optimal dispatch with reactive power compensation by Genetic Algorithm

This paper presents a Unit Commitment model with reactive power compensation that has been solved by Genetic Algorithm (GA) optimization techniques. The GA has been developed a computational tools programmed/coded in MATLAB. The main objective is to find the best generations scheduling whose active power losses are minimal and the reactive power to be compensated, subjected to the power system technical constraints. Those are: full AC power flow equations, active and reactive power generation constraints. All constraints that have been represented in the objective function are weighted with a penalty factors. The IEEE 14-bus system has been used as test case to demonstrate the effectiveness of the proposed algorithm. Results and conclusions are dully drawn.

A long-term risk management tool for electricity markets using swarm intelligence

This paper addresses the optimal involvement in derivatives electricity markets of a power producer to hedge against the pool price volatility. To achieve this aim, a swarm intelligence meta-heuristic optimization technique for long-term risk management tool is proposed. This tool investigates the long-term opportunities for risk hedging available for electric power producers through the use of contracts with physical (spot and forward contracts) and financial (options contracts) settlement. The producer risk preference is formulated as a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance of return and the expectation are based on a forecasted scenario interval determined by a long-term price range forecasting model. This model also makes use of particle swarm optimization (PSO) to find the best parameters allow to achieve better forecasting results. On the other hand, the price estimation depends on load forecasting. This work also presents a regressive long-term load forecast model that make use of PSO to find the best parameters as well as in price estimation. The PSO technique performance has been evaluated by comparison with a Genetic Algorithm (GA) based approach. A case study is presented and the results are discussed taking into account the real price and load historical data from mainland Spanish electricity market demonstrating the effectiveness of the methodology handling this type of problems. Finally, conclusions are dully drawn.

Increasing source to image distance for AP pelvis imaging: impact on radiation dose and image quality

Aim - A quantative primary study to determine whether increasing source to image distance (SID), with and without the use of automatic exposure control (AEC) for antero-posterior (AP) pelvis imaging, reduces dose whilst still producing an image of diagnostic quality. Methods - Using a computed radiography (CR) system, an anthropomorphic pelvic phantom was positioned for an AP examination using the table bucky. SID was initially set at 110 cm, with tube potential set at a constant 75 kVp, with two outer chambers selected and a fine focal spot of 0.6 mm. SID was then varied from 90 cm to 140 cm with two exposures made at each 5 cm interval, one using the AEC and another with a constant 16 mAs derived from the initial exposure. Effective dose (E) and entrance surface dose (ESD) were calculated for each acquisition. Seven experienced observers blindly graded image quality using a 5-point Likert scale and 2 Alternative Forced Choice software. Signal-to-Noise Ratio (SNR) was calculated for comparison. For each acquisition, femoral head diameter was also measured for magnification indication. Results - Results demonstrated that when increasing SID from 110 cm to 140 cm, both E and ESD reduced by 3.7% and 17.3% respectively when using AEC and 50.13% and 41.79% respectively, when the constant mAs was used. No significant statistical (T-test) difference (p = 0.967) between image quality was detected when increasing SID, with an intra-observer correlation of 0.77 (95% confidence level). SNR reduced slightly for both AEC (38%) and no AEC (36%) with increasing SID. Conclusion - For CR, increasing SID significantly reduces both E and ESD for AP pelvis imaging without adversely affecting image quality.

Alterações na grelha de Amsler na presença de catarata adquirida

Objectivos - Identificar a existência de alterações na Grelha de Amsler (GA) em indivíduos com catarata, comparados com um grupo de controlo sem catarata. Investigar a utilidade do teste da GA na complementação de informação relativamente a opacidades dos meios transparentes. Metodologia - Amostra de 171 indivíduos: 82 portadores de catarata bilateral (Grupo 1), e 89 sem catarata para o grupo de controlo (Grupo 2). Avaliou-se a acuidade visual (AV) monocular para longe e binocular para perto, GA, reflexos pupilares, teste de reflexo vermelho e oftalmoscopia. Definiu-se como variável dependente a catarata e como variáveis independentes, as restantes variáveis referidas anteriormente. Estudo de caso controlo, descritivo e correlacional. Resultados - Idade média 72,16 ± 6,50 anos, com 46,8% do género masculino e 53,2% do género feminino. Utilizam correcção óptica, 84,15% no Grupo 1 e 85,39% no Grupo 2. A média de AV para longe foi superior no Grupo 2 (Grupo 1 foi de 0,50 ±0,25 e no Grupo 2 foi de 0,63 ±0,29. Relativamente ao fundo ocular (FO) no Grupo 1 foram detectados 20,73% de casos alterados, 13,41% normais e 65,85% dos casos foi impossível realizar o exame. No Grupo 2 os valores foram de 28,09%, 38,20% e 33,71% respectivamente. Na GA verificaram-se 45,12% (37) de casos alterados no Grupo 1 e 23,60% (21) alterados no Grupo 2. Destes 21 indivíduos, 61,90% (13) apresentavam alteração na grelha de Amsler e do FO, enquanto que, no Grupo 1, esta condição verificou-se em 13,51% (5). Discussão / Conclusão - No estudo realizado não foi possível verificar uma relação entre as variáveis em estudo mas sim uma associação entre os grupos de estudo. Sendo assim, afirma-se que existe uma associação entre alterações da Grelha de Amsler em indivíduos com suspeita de catarata. Observou-se nos resultados efectuados uma percentagem considerável de pacientes com suspeita de cataratas com alteração na Grelha de Amsler. De modo a ter resultados mais fidedignos, relacionou-se os resultados do teste de Grelha de Amsler com os da fundoscopia, onde foi demonstrado que existia alterações na Grelha de Amsler em indivíduos com suspeita de cataratas que apresentavam normalidade na fundoscopia. Uma das possíveis razões por não se encontrar relação entre as variáveis estudadas, pode ter sido devido à elevada percentagem de indivíduos onde foi impossível realizar o teste de fundoscopia, impedindo de verificar se o fundo ocular apresentava normalidade ou não nos grupos de estudo. Outra limitação do estudo, foi o facto do estudo ter sido realizado no âmbito de rastreio visual, sendo impossível o diagnóstico da suspeita de catarata observada no rastreio. Tendo em conta os resultados obtidos, não se pode concluir que nesta amostra a suspeita de catarata leva a alterações na grelha de Amsler, contudo esta pode ter influência na presença de catarata, quando não existe alterações maculares. Este teste pode ser bastante eficiente na medida de rastreios visuais, em cuidados de saúde primários ou escassez de recursos, levando a uma indicação de alterações que podem estar presentes.

Control and comparison of the antioxidant capacity of beers

The purpose of the present work is to determine the antioxidant capacity (AC) of 27 commercial beers. The AC indicates the degree of protection of a certain organism against oxidative damage provoked by reactive oxygen and nitrogen species. Assays were carried out by the following methods: (i) total radical trapping antioxidant parameter (TRAP); (ii) trolox equivalent antioxidant capacity (TEAC); (iii) trolox equivalent antioxidant capacity (DPPH); (iv) ferric-ion reducing antioxidant parameter (FRAP); (v) cupric reducing antioxidant capacity (CUPRAC); (vi) oxygen radical absorbance capacity (ORAC). Ascorbic acid (AA), gallic acid (GA) and trolox (TR) were used as standards. All beers showed antioxidant power, but a wide range of ACs was observed. The effect of several factors upon these differences was studied. Statistical differences were found between ACs of beers of different colours. ORAC method provided always higher experimental ACs, of significant statistical differences to other assays.

Influence of selenization pressure on the growth of Cu2ZnSnSe4 films from stacked metallic layers

Cu2ZnSnSe4 (CZTSe) is a p-type semiconductor with a high absorption coefficient, 104 to 105 cm-1, and is being seen as a possible replacement for Cu(In,Ga)Se2 in thin film solar cells. Yet, there are some fundamental properties of CZTSe that are not well known, one of them is its band gap. In order to resolve its correct value it is necessary to improve the growth conditions to ensure that single phase crystalline thin films are obtained. One of the problems encountered when growing CZTSe is the loss of Sn through evaporation of SnSe. Stoichiometric films are then difficult to obtain and usually there are other phases present. One possible way to overcome this problem is to increase the pressure of growth of CZTSe. This can be done by introducing an atmosphere of an inert gas like Ar or N2. In this work we report the results of morphological, structural and optical studies of the properties of CZTSe thin films grown by selenization of DC magnetron sputtered metallic layers under different Ar pressures. The films are analysed by SEM/EDS, Raman scattering and XRD.