New Poly(N-isopropylacrylamide-butylacrylate) Copolymer Biointerfaces and Their Characteristic Influence on Cell Behavior In Vitro

Designing and obtaining new synthetic smart biointerfaces with specific and controlled characteristics relevant for applications in biomedical and bioengineering domains represents one of the main challenges in these fields. In this work, Matrix-Assisted Pulsed Laser Evaporation (MAPLE) is used to obtain synthetic biointerfaces of poly(N-isopropyl acrylamide-butyl acrylate) p(NIPAM-BA) copolymer with different characteristics (i.e., roughness, porosity, wettability), and their effect on normal HEK 293 T and murine melanoma B16-F1 cells is studied. For this, the influence of various solvents (chloroform, dimethylsulfoxide, water) and fluence variation (250–450 mJ/cm²) on the morphological, roughness, wettability, and physico–chemical characteristics of the coatings are evaluated by atomic force microscopy, scanning electron microscopy, contact angle measurements, Fourier-transform-IR spectroscopy, and X-ray photoelectron spectroscopy. Coatings obtained by the spin coating method are used for reference. No significant alteration in the chemistry of the surfaces is observed for the coatings obtained by both methods. All p(NIPAM-BA) coatings show hydrophilic character, with the exception of those obtained with chloroform at 250 mJ/cm². The surface morphology is shown to depend on both solvent type and laser fluence and it ranges from smooth surfaces to rough and porous ones. Physico–chemical and biological analysis reveal that the MAPLE deposition method with fluences of 350–450 mJ/cm² when using DMSO solvent is more appropriate for bioengineering applications due to the surface characteristics (i.e., pore presence) and to the good compatibility with normal cells and cytotoxicity against melanoma cells.     

Fault detection and identification in dynamic systems with noisy data and parameter/modeling uncertainties

A probabilistic approach is presented which can be used for the estimation of system parameters and unmonitored state variables towards model-based fault diagnosis in dynamic systems. The method can be used with any type of input–output model and can accommodate noisy data and/or parameter/modeling uncertainties. The methodology is based on Markovian representation of system dynamics in discretized state space. The example system used for the illustration of the methodology focuses on the intake, fueling, combustion and exhaust components of internal combustion engines. The results show that the methodology is capable of estimating the system parameters and tracking the unmonitored dynamic variables within user-specified magnitude intervals (which may reflect noise in the monitored data, random changes in the parameters or modeling uncertainties in general) within data collection time and hence has potential for on-line implementation.     

Intracellular Delivery of Proteins with Cell-Penetrating Peptides for Therapeutic Uses in Human Disease

Protein therapy exhibits several advantages over small molecule drugs and is increasingly being developed for the treatment of disorders ranging from single enzyme deficiencies to cancer. Cell-penetrating peptides (CPPs), a group of small peptides capable of promoting transport of molecular cargo across the plasma membrane, have become important tools in promoting the cellular uptake of exogenously delivered proteins. Although the molecular mechanisms of uptake are not firmly established, CPPs have been empirically shown to promote uptake of various molecules, including large proteins over 100 kiloDaltons (kDa). Recombinant proteins that include a CPP tag to promote intracellular delivery show promise as therapeutic agents with encouraging success rates in both animal and human trials. This review highlights recent advances in protein-CPP therapy and discusses optimization strategies and potential detrimental effects.     

Energy efficiency improvements of post-combustion CO2 capture based on reactive gas–liquid absorption applied for super-critical circulating fluidized bed combustion (CFBC) power plants

Clean Technologies and Environmental Policy - The environmental impact represents a significant constraint for fossil fuel-intensive industrial processes in transition to a low-carbon scenario....     

Benchmarking of the pre/post-combustion chemical absorption for the CO2 capture

The aim of the article was to compare the pre- and post-combustion CO₂ capture process employing the chemical absorption technology. The integration of the chemical absorption process before or after the coal combustion has an impact on the power plant efficiency because, in both cases, the thermal energy consumption for solvent regeneration is provided by the steam extracted from the low pressure steam turbine. The solvent used in this study for the CO₂ capture was monoethanolamine (MEA) with a weight concentration of 30%. In the case of the pre-combustion integration, the coal gasification was analysed for different ratios air/fuel (A/F) in order to determine its influences on the syngas composition and consequently on the low heating value (LHV). The LHV maximum value (28 MJ/kg) was obtained for an A/F ratio of 0.5 kg_air/kg_fuel, for which the carbon dioxide concentration in the syngas was the highest (17.26%). But, considering the carbon dioxide capture, the useful energy (the difference between the thermal energy available with the syngas fuel and the thermal energy required for solvent regeneration) was minimal. The maximum value (61.59 MJ) for the useful energy was obtained for an A/F ratio of 4 kg_air/kg_fuel. Also, in both cases, the chemical absorption pre- and post-combustion process, the power plant efficiency decreases with the growth of the L/G ratio. In the case of the pre-combustion process, considering the CO₂ capture efficiency of 90%, the L/G ratio obtained was of 2.55 mol_solvent/mol_syngas and the heat required for the solvent regeneration was of 2.18 GJ/tCO₂. In the case of the post-combustion CO₂ capture, for the same value of the CO₂ capture efficiency, the L/G ratio obtained was of 1.13 mol_solvent/mol_{flue gas} and the heat required was of 2.80 GJ/tCO₂. However, the integration of the CO₂ capture process in the power plant leads to reducing the global efficiency to 30% in the pre-combustion case and to 38% to the post-combustion case.     

A multi-criteria approach to evaluate the natural gas energy systems

This paper aims to select the optimal energetic scenario applied to a consumer with 100 000 inhabitants from the residential–tertiary sector, from the ecological, energetical and economic points of view. A series of seven scenarios based on natural gas has been analyzed. The authors proposed six scenarios for the combined heat and power generation using existing technologies and one scenario for separate generation of the two energy forms. To compare the seven energetic scenarios, the amount of thermal and electrical energy produced by each one had to be the same for a defined time period. To select the optimal energy scenario a multi-criteria NAIADE-based method has been used. Consequently, the optimal energy scenario has been established with respect to criteria groups: ecologic, economic, energetic and global where all criteria groups have been considered. The study results prove that a combined gas and steam turbine cycle is optimal technically, economically and ecologically as it is for each criteria group. A sensitivity analysis has been performed to establish the influence of various parameters in the identification of the optimal energy scenario. For all analyzed scenarios, the optimal energetic scenario is the combined gas and steam turbine cycle.     

Process reliability and safety under uncertainties

Uncertainties in the initial conditions and parameters of process systems can lead to large variations in the predicted system performance, sometimes with catastrophic consequences. For systems with non-linear dynamics, often the only generally applicable approach to assess the impact of these uncertainties on system performance is a search through the operation and parameter range of interest by direct integration of the system equations. A methodology is presented that can be used to assess process reliability and safety under such uncertainties much faster than direct integration. The methodology extends the capabilities of a previously developed discrete state transition modeling approach to include capability for the determination of initial conditions that lead to desirable system operation. Implementation of the methodology on an example system taken from nuclear reactor dynamics shows that: a) the methodology can handle both small and large uncertainties in system parameters and initial conditions, and b) fast conventional approaches such as perturbation analysis may lead to the choice of more restrictive or narrower operational ranges for the system than that required by reliability/safety considerations.     

Electrochemical Behavior of SLM Ti–6Al–4V Alloy After Long Time of Immersion in Lactic Acid Environment

Metallurgical and Materials Transactions A - The corrosion behavior of selective laser melted Ti–6Al–4V alloy (SLM Ti–6Al–4V) was assessed in 0.1 M lactic acid + 0.1 M NaCl...     

Directed three-dimensional patterning of self-assembled peptide fibrils

Molecular self-assembly is emerging as a viable "bottom-up" approach for fabricating nanostructures. Self-assembled biomolecular structures are particularly attractive, due to their versatile chemistry, molecular recognition properties, and biocompatibility. Among them, amyloid protein and peptide fibrils are self-assembled nanostructures with unique physical and chemical stability, formed from quite simple building blocks; their ability to work as a template for the fabrication of low resistance, conducting nanowires has already been demonstrated. The precise positioning of peptide-based nanostructures is an essential part of their use in technological applications, and their controlled assembly, positioning, and integration into microsystems is a problem of considerable current interest. To date, their positioning has been limited to their placement on flat surfaces or to the fabrication of peptide arrays. Here, we propose a new method for the precise, three-dimensional patterning of amyloid fibrils. The technique, which combines femtosecond laser technology and biotin-avidin mediated assembly on a polymeric matrix, can be applied in a wide variety of fields, from molecular electronics to tissue engineering.