Surface Modification of Si3N4 Powders by Coprecipitation of Sintering Aids

Two commercial Si₃N₄ powders were coated with sintering aids by coprecipitation. Lanthanum and yttrium nitrates were used as sintering aid precursors. Electrokinetic sonic amplitude measurements and X-ray photoemission spectroscopy analysis were used to investigate electrokinetic behavior and surface properties, respectively. Coprecipitation produced different effects on the composition of the coating layer depending on the actual features of the starting Si₃N₄ powders. The electrokinetic behavior of aqueous suspensions with coated powders depended strongly on the additives, their solubility, and the rate of oxidation of the coated layer. The coprecipitation conditions had to be carefully controlled to obtain reproducible composition and morphology of the coating layers. Treatments of the starting powder, pH, and washing volumes were optimized to tailor the coating layer and improve the coprecipitation yield.     

Effect of preservatives, tween 20, oil content and emulsion structure on the survival of Lactobacillus fructivorans in model salad dressings

The effect of potassium sorbate (PS), nisin, Tween^® 20 and oil level on the survival of Lactobacillus fructivorans in model salad dressings was studied. In general, L. fructivorans growth was prevented in formulated emulsions, but the addition of nisin was necessary to inactivate the bacterium throughout the storage time evaluated. The bacteriocin activity showed to be strongly dependent on system composition. Addition of PS alone did not influence L. fructivorans survival. But, when this preservative was added together with nisin to an emulsion containing 110 g/kg of oil, it exerted an antagonistic action on nisin effectiveness while for other levels of oil, a synergistic action was verified. The increase of oil level did not affect L. fructivorans survival in those emulsions without nisin. However, when the bacteriocin was present, it produced different effects which depended on system composition. Addition of tween did not affect L. fructivorans survival for emulsions free of additives or containing as preservative only PS. However, when nisin was present, the emulsifier effect was entirely dependant on oil content. Furthermore, the structure of the food matrix appeared as an additional factor which could influence either the growth of the microorganisms or the functionality of the preservatives. Tween addition turned the systems more fluid or solid, depending on the oil content of the systems considered. Results obtained highlight the importance of considering ingredient interactions when evaluating microbial stability of food systems.     

New sulfonated copolymers of acrylonitrile obtained by plasma-induced polymerization

Summary Ultrahigh molecular weight copolymers of acrylonitrile (AN) with sodium salt of trans-3-(4-sulfo-phenylcarbamoil)-acrylic acid (S) were obtained by plasma-induced polymerization (PIP) in water solutions. The copolymerization parameters were established and some structural and physical characterizations by thermally stimulated depolarization currents (TSDC) spectroscopic analysis of the S-AN copolymer were performed.     

Use of neurofuzzy networks to improve wastewater flow-rate forecasting

A neurofuzzy wastewater flow-rate forecasting model (NFWFFM) has been developed and tested with actual data measured at the input of two wastewater treatment facilities which treat the wastewater corresponding to 150,000 and 1,250,000 p.e., respectively. Good agreements between forecasted and actual flow-rates were obtained. The artificial intelligence algorithm uses only two input variables (day of the week and average daily flow-rate of day before) and one output variable (predicted average daily flow-rate). Using three months data for training the network, a long-term forecast (one month) is made with average errors below 10%. Results were compared with those obtained by applying the Census Method II (a commonly used decomposition/recomposition time series method) observing that forecast made by the NFWFFM is more accurate than the one made by this commonly used statistical method.     

Spine-shaped gold protrusions improve the adherence and electrical coupling of neurons with the surface of micro-electronic devices

Interfacing neurons with micro- and nano-electronic devices has been a subject of intense study over the last decade. One of the major problems in assembling efficient neuro-electronic hybrid systems is the weak electrical coupling between the components. This is mainly attributed to the fundamental property of living cells to form and maintain an extracellular cleft between the plasma membrane and any substrate to which they adhere. This cleft shunts the current generated by propagating action potentials and thus reduces the signal-to-noise ratio. Reducing the cleft thickness, and thereby increasing the seal resistance formed between the neurons and the sensing surface, is thus a challenge and could improve the electrical coupling coefficient. Using electron microscopic analysis and field potential recordings, we examined here the use of gold micro-structures that mimic dendritic spines in their shape and dimensions to improve the adhesion and electrical coupling between neurons and micro-electronic devices. We found that neurons cultured on a gold-spine matrix, functionalized by a cysteine-terminated peptide with a number of RGD repeats, readily engulf the spines, forming tight apposition. The recorded field potentials of cultured Aplysia neurons are significantly larger using gold-spine electrodes in comparison with flat electrodes.     

The influence of influent distribution and blood content of slaughterhouse wastewater on the performance of an anaerobic fixed‐film reactor

This paper evaluates the performance of a laboratory‐scale anaerobic fixed‐film reactor (AFFR) with arranged media treating slaughterhouse wastewater. The reactor was operated at 20 °C, its organic loading rate was increased from 1.8 to 9.2 kg COD m^?3 d^?1, and it had a short hydraulic residence time (5–9 h). The influence of wastewater concentrations on its performance was studied by artificially increasing the blood content of the wastewater. The efficiency of the removal of organic matter decreased from 70% to 54% as the superficial velocity increased from 0.12 to 0.97 m h^?1, due mainly to distribution defects, as had been confirmed experimentally by tracer tests. The kinetics of the anaerobic processes was limited by substrate availability, even at high COD concentrations (between 700 and 1100 mg dm^?3) due to a high content of slowly biodegradable and inert compounds present in the wastewater from the slaughterhouse. It was observed that a large amount of the organic matter had accumulated inside the reactor instead of being removed by methanogenic digestion. Furthermore, the fraction of organic matter held inside the reactor varied significantly in relation to the blood content of the wastewater. Copyright © 2005 Society of Chemical Industry     

State space models for condition monitoring: a case study

A Condition Monitoring system can increase safety, quality and availability in industrial plants. Safety requirements are especially important in critical machineries, like a turbine driving a centrifugal compressor located at a petrochemical plant in the case study presented in this paper. A Condition Monitoring system is set up for vibration data coming from the turbine. Four years of monthly data observed at two different locations of the equipment are analysed. The core of the system is a model to forecast the state of the machine using data provided by the Condition Monitoring system at each moment in time. The model is based on the State Space framework whose associated recursive algorithms (Kalman Filter and Fixed Interval Smoothing) provide the basis for a number of different operations, from which the most important in the present context is the extrapolation of the distribution of forecasts on which the probability of failure is estimated. The cost model on which the decision of making a preventive replacement is taken is based on the ‘expected cost per unit time’ for a pre-determined critical value of the vibration measure. The system is thoroughly tested on the data.     

In situ fiber composites based on metallocene polyethylene matrices

Binary blends of metallocene polyethylenes with polyethylenes and polypropylene were made in a co‐rotating twin‐screw extruder. A stretching process was carried out afterwards in the melt state at the extruder's exit to study the effect of the induced orientation on their thermal and tensile properties. Capillary rheometry was performed to the neat polymers to determine the viscosity ratios of the blend components as a function of the shear rate. SEM and Micro‐Raman analyses were done to study the morphology of the stretched and nonstretched blends. As expected, an increase in the modulus and tensile stress was obtained through blending. Additionally, the elastomeric behavior of the metallocene polyethylene (mPE) sample is observed in all blends and it was not lost through blending. Nevertheless, all blends without stretching exhibited a negative deviation of the linear additivity rule of blending. The stretching of the blends made with metallocene polyethylenes as matrices and other types of PEs as dispersed phase did not improve the tensile properties, although some differences in the dispersed phases were found by DSC, and microfibrils could be seen in the drawn mPE/HDPE blend. However, blending with PP produced an improvement in the modulus and tensile stress of the drawn samples in comparison to their undrawn counterpart. The tensile stresses of PP blends are more sensitive to the drawing process than the modulus, which can be attributed to the appearance of large fibril fractions during this process. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 2007     

Electrocoagulation in wastewater containing arsenic: Comparing different process designs

Arsenic removal from wastewater is a key problem for copper smelters. This work shows results of electrocoagulation of aqueous solutions containing arsenic with three different process designs and operating parameters.Three types of electrocoagulation reactors were tested and compared: (a) a modified flow continuous reactor, (b) a turbulent flow reactor and (c) an airlift reactor. All used iron as sacrificial anodes. The results showed that the electrocoagulation process of a 100 mg/L As(V) solution could decrease the arsenic concentration to less than 2 mg/L in the effluent with a current density of 1.2 A/dm² with both the modified flow and the airlift reactor. The removal of arsenic with the turbulent flow reactor did not reach the same level but the Fe-to-As ratio (mol/mol) achieved in the coagulation process was in this case lower (approximately 7) than with the other two reactors.In addition, it seems that increasing the current density beyond a maximum value, the electrocoagulation process would not improve any further. This could probably be explained by passivation of the anode.     

Structural and Mechanical Properties of Fats Quantified by Ultrasonics

Since the velocity of an ultrasonic wave through a material depends on its density, bulk modulus (K), and shear modulus (G), a new approach to determine the shear elastic modulus and the mass fractal dimension (D) in a fat crystal network was developed. An ultrasonic chirp wave containing a range of frequencies and amplitudes, was used to estimate the structural and mechanical properties of palm oil based fats, crystallized under shear at three different temperatures (20, 25, and 30 °C). Considering the fat crystal network as a two-phase system (i.e. liquid and solid fat) the velocity of sound in both phases was obtained separately, assuming that the speed of sound in the oil phase was inversely dependent on the temperature. A constant shear modulus for the solid fraction was obtained experimentally by rheology, which was independent of the sample’s nature. These parameters were used for the determination of sample compressibility and its corresponding shear modulus by ultrasonic velocimetry. In addition fractal dimensions (D) were determined by using the relationship of the shear elastic modulus (G) to the mass fraction of the solid fat (φ) in a weak-link regime. The obtained results are comparable and consistent with previously reported fractal dimension values. This method allows online determination of the shear modulus of fats and could be potentially applied for quality control purposes in manufacturing.