Synthetic Surfaces Research Articles

Organic Electrochemistry and a Role Reversal: Using Synthesis To Optimize Electrochemical Methods.

Diblock copolymers are excellent coatings for microelectrode arrays because they provide a stable surface that can support both synthetic and analytical electrochemistry. However, the surfaces that are optimal for synthetic studies are not the same as the surfaces that are optimal for analytical studies. Hence, no one surface provides an ideal platform for both building and analyzing a molecular library. Fortunately, the synthetic chemistry available on a microelectrode array allows a surface that is ideal for synthesis can be converted into one that is ideal for signaling studies; a scenario that allows for the use of an optimized synthetic and analytical surface on a single microelectrode array.

High Aspect Ratio Nanostructures Kill Bacteria via Storage and Release of Mechanical Energy.

The threat of a global rise in the number of untreatable infections caused by antibiotic-resistant bacteria calls for the design and fabrication of a new generation of bactericidal materials. Here, we report a concept for the design of antibacterial surfaces, whereby cell death results from the ability of the nanofeatures to deflect when in contact with attaching cells. We show, using three-dimensional transmission electron microscopy, that the exceptionally high aspect ratio (100-3000) of vertically aligned carbon nanotubes (VACNTs) imparts extreme flexibility, which enhances the elastic energy storage in CNTs as they bend in contact with bacteria. Our experimental and theoretical analyses demonstrate that, for high aspect ratio structures, the bending energy stored in the CNTs is a substantial factor for the physical rupturing of both Gram-positive and Gram-negative bacteria. The highest bactericidal rates (99.3% for Pseudomonas aeruginosa and 84.9% for Staphylococcus aureus) were obtained by modifying the length of the VACNTs, allowing us to identify the optimal substratum properties to kill different types of bacteria efficiently. This work highlights that the bactericidal activity of high aspect ratio nanofeatures can outperform both natural bactericidal surfaces and other synthetic nanostructured multifunctional surfaces reported in previous studies. The present systems exhibit the highest bactericidal activity of a CNT-based substratum against a Gram-negative bacterium reported to date, suggesting the possibility of achieving close to 100% bacterial inactivation on VACNT-based substrata.

Computation of synthetic surface heat transfer coefficient of 7B50 ultra-high-strength aluminum alloy during spray quenching

Abstract According to inverse heat transfer theory, the evolutions of synthetic surface heat transfer coefficient (SSHTC) of the quenching surface of 7B50 alloy during water-spray quenching were simulated by the ProCAST software based on accurate cooling curves measured by the modified Jominy specimen and temperature-dependent thermo-physical properties of 7B50 alloy calculated using the JMatPro software. Results show that the average cooling rate at 6 mm from the quenching surface and 420–230 °C (quench sensitive temperature range) is 45.78 °C/s. The peak-value of the SSHTC is 69 kW/(m2·K) obtained at spray quenching for 0.4 s and the corresponding temperature of the quenching surface is 160 °C. In the initial stage of spray quenching, the phenomenon called “temperature plateau” appears on the cooling curve of the quenching surface. The temperature range of this plateau is 160–170 °C with the duration about 3 s. During the temperature plateau, heat transfer mechanism of the quenching surface transforms from nucleate boiling regime to single-phase convective regime.

WASTEWATER TREATMENT OF INDUSTRIAL ENTERPRISES BY THE NATURAL METALS

Purpose. The paper deals with the galvanic coupling effect (time of treatment and other factors) on the removal of oil, synthetic surface active substances (SSAS), chromium, etc. from waste process solutions used in metalworking. It presents an overview of wastewater treatment technologies from heavy metal ions based on physicochemical processes. Methodology. To restore hexavalent chlorine to trivalent, authors decided to use the existing averager of acid-alkaline effluents as a kind of galvanic coagulant, for which it was filled with iron turnings and crushed coke. Findings. Authors researched wastewater of the electrotechnical industry and highlighted sorption methods for their purification with the use of coagulants, ion exchange. They considered a new galvanocoagulation method for purification from heavy metal (HM) ions (arsenic, chromium, non-ferrous metals), as well as petroleum products and organic substances dissolved in water. Permissible values of the quality indicators of wastewater and water in reservoirs are given. The classification of heavy metal groups according to the degree of toxic effect is presented. Their influence on the human body is considered. The use of the «LOTOS» reactor in the technological process of electroplatings wastes cleaning allows: to process them in a single stream, to abandon special reagents for cleaning effluents from hexavalent chromium and cyanides, to exclude the need for acidification of effluents, to reduce the use of alkaline reagents up to complete rejection of them, to reduce the equipment rate and number of production personnel (their main function is to purify solutions containing up to 1 g/dm3 of hexavalent chromium. The reactor consists of unified modules, mounted in a single frame. Originality. On the basis of experimental research work, it was established possibility in principle of treatment of all liquids under research by the galvanocoagulation method. The method consists in contacting of wastewater simultaneously with copper and steel shavings (scrap) without using an external source of electric current. Practical value. The article highlights the topical issues of wastewater treatment from salts of heavy metals, which is necessary for sanitary and ecological purposes. We propose modern energy-saving and low-energy-consuming simple methods, such as the galvanic technique. The modern plant is widely used in industry, electroplating and metalware production. The described methods have a number of positive properties in the economic and energy relations. Salts of heavy metals are dangerous pollutants for both sewage and drinking water. Therefore, water treatment is a very important problem in the field of the environment of our country and abroad. The cleaning effect is achieved within 95 ... 98%.

Generative Model With Coordinate Metric Learning for Object Recognition Based on 3D Models.

One of the bottlenecks in acquiring a perfect database for deep learning is the tedious process of collecting and labeling data. In this paper, we propose a generative model trained with synthetic images rendered from 3D models which can reduce the burden on collecting real training data and make the background conditions more realistic. Our architecture is composed of two sub-networks: a semantic foreground object reconstruction network based on Bayesian inference and a classification network based on multi-triplet cost training for avoiding overfitting on the monotone synthetic object surface and utilizing accurate information of synthetic images like object poses and lighting conditions which are helpful for recognizing regular photos. First, our generative model with metric learning utilizes additional foreground object channels generated from semantic foreground object reconstruction sub-network for recognizing the original input images. Multi-triplet cost function based on poses is used for metric learning which makes it possible to train an effective categorical classifier purely based on synthetic data. Second, we design a coordinate training strategy with the help of adaptive noise applied on the inputs of both of the concatenated sub-networks to make them benefit from each other and avoid inharmonious parameter tuning due to different convergence speeds of two sub-networks. Our architecture achieves the state-of-the-art accuracy of 50.5% on the ShapeNet database with data migration obstacle from synthetic images to real images. This pipeline makes it applicable to do recognition on real images only based on 3D models. Our codes are available at https://github.com/wangyida/gm-cml.

Engineered natural and synthetic polymer surfaces induce nuclear deformation in osteosarcoma cells.

Cell-substrate interactions involve constant probing of microenvironment by cells. One of the responses of cells to environmental cues is to change the conformation of their cytoplasm and nucleus. We hypothesized that surface chemistry and topography could be engineered to make these differences significant enough. When designing the substrates that would accentuate these differences, we prepared surfaces carrying cell adhesive biological cues arranged in specific patterns. Collagen type I and poly(lactic acid-co-glycolic acid) (PLGA) were used to represent substrates with biological cues and those without, and these materials were decorated with four square prism micropillars with different dimensions. The nuclear deformations were analyzed using some descriptors. Nucleus area and solidity were the best descriptors in distinguishing the substrates in terms of biological cues, while nucleus area, solidity, and circularity were more sensitive to the interpillar distances. Another distinguishing factor tested was the duration of contact. Nucleus area was the only descriptor sensitive to nuclear deformation change with time. PLGA was more suitable in nuclear conformation analysis while collagen was better in cell adhesion and proliferation. These deformations lead to changes in the molecular processes and further studies are needed to better understand cell mechanobiology. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 107B: 366-376, 2019.

Thermally Activated Redox Conduction in Shewanella Oneidensis MR-1 Biofilms

Shewanella oneidensis MR-1 can gain energy by performing extracellular electron transport (EET) to external insoluble electron acceptors ranging from natural minerals to synthetic electrode surfaces when poised at proper potentials. Outer membrane c-type multi-heme cytochromes play a critical role in mediating this electron transport. The abundance of these cytochromes on the cell surface has also been hypothesized to facilitate long-distance electron transport along multicellular biofilms, in a manner similar to redox active polymers containing discrete redox moieties. Here we report measurements of electron transport in living S. oneidensis biofilms that bridged interdigitated array (IDA) microelectrodes. Electrochemical gating reveals a peak in the conduction current at the expected formal potential of the cytochrome conduits, consistent with redox conductivity where transport is driven by a multistep electron hopping mechanism through the heme network. The temperature dependency of the biofilm conduction is also consistent with such a thermally activated process, where conductivity increases with increasing temperature. In addition, the measured activation energy (0.315 eV) is consistent with the computationally-determined activation energy of the S. oneidensis Mtr decaheme cytochromes.

Degradation rate affords a dynamic cue to regulate stem cells beyond varied matrix stiffness

While various static cues such as matrix stiffness have been known to regulate stem cell differentiation, it is unclear whether or not dynamic cues such as degradation rate along with the change of material chemistry can influence cell behaviors beyond simple integration of static cues such as decreased matrix stiffness. The present research is aimed at examining effects of degradation rates on adhesion and differentiation of mesenchymal stem cells (MSCs) in vitro on well-defined synthetic hydrogel surfaces. Therefore, we synthesized macromers by extending both ends of poly(ethylene glycol) (PEG) with oligo(lactic acid) and then acryloyl, and the corresponding hydrogels that were obtained after photopolymerization of the macromers were biodegradable. Combining the unique techniques of block copolymer micelle nanolithography with transfer lithography, we prepared a nanoarray of cell-adhesive arginine-glycine-aspartate peptides on this nonfouling biodegradable hydrogel. The biodegradation is caused by hydrolysis of the ester bonds, and different degradation rates in the cell culture medium were achieved by different stages of accelerated pre-hydrolysis in an acidic medium. For the following cell culture and induction, both the matrix stiffness and degradation rate varied among the examined groups. While adipogenic differentiation of MSCs can be understood by the lowered stiffness, the osteogenic differentiation was contradictory with common sense because we found enhanced osteogenesis on soft hydrogels. Higher degradation rates were suggested to account for this interesting phenomenon in the sole osteogenic/adipogenic induction and even more complicated trends in the co-induction. Hence, the degradation rate is a dynamic cue influencing cell behaviors, which should be paid attention to for degradable biomaterials.

Characteristics of competitive uptake between Microcystin-LR and natural organic matter (NOM) fractions using strongly basic anion exchange resins

Microcystins are the most commonly occurring cyanotoxins, and have been extensively studied across the globe. In the present study, a strongly basic anion exchange resin was employed to investigate the removal of Microcystin-LR (MCLR), one of the most toxic microcystin variants. Factors influencing the uptake behavior included the MCLR and resin concentrations, resin dosage, and natural organic matter (NOM) characteristics, specifically, the charge density and molecular weight distribution of source water NOM. Equivalent background concentration (EBC) was employed to evaluate the competitive uptake between NOM and MCLR. The experimental data were compared with different mathematical and physical models and pore diffusion was determined as the rate-limiting step. The resin dose/solute concentration ratio played a key role in the MCLR uptake process and MCLR removal was attributed primarily to electrostatic attractions. Charge density and molecular weight distribution of the background NOM fractions played a major role in MCLR removal at lower resin dosages (200 mg/L ∼ 1 mL/L and below), where a competitive uptake was observed due to the limited exchange sites. Further, evidences of pore blockage and site reduction were also observed in the presence of humics and larger molecular weight organic fractions, where a four-fold reduction in the MCLR uptake was observed. Comparable results were obtained for laboratory studies on synthetic laboratory water and surface water under similar conditions. Given their excellent performance and low cost, anion exchange resins are expected to present promising potentials for applications involving the removal of removal of algal toxins and NOM from surface waters.

One‐Pot Hydrothermal Synthesis of Highly Fluorescent Polyethyleneimine‐capped Copper Nanoclusters for Specific Detection of Rifampicin

Herein, a novel bright‐green and highly fluorescent polyethyleneimine capped copper nanoclusters (CuNCs@PEI) has been hydrothermally synthesized, which is employed as a fluorescence probe to determine rifampicin. Under optimum synthetic conditions, the morphology, surface chemistry and optical features of resulting CuNCs@PEI are well characterized by transmission electron microscopy, Fourier transform infrared spectroscopy, UV–Vis absorption spectra, transient and steady‐state fluorescence. In comparison to previous reports, the new species with a larger diameter of approximately 3 nm exhibit higher fluorescence quantum yield (QY) up to nearly 10.7%, and demonstrate tolerability to extreme pH, high ionic strengths as well as long‐term UV irradiation. These excellent optical properties ascribe to unique grain size and surface chemical features of products, which are further discussed in this work. In addition, we employed as‐prepared CuNCs@PEI to detect rifampicin based on fluorescence quenching phenomenon. The fluorescence intensity of probe is linearly proportional to rifampicin over the concentration rage from 0 to 20 μM, where the limit of detection (LOD) is 50 nM. Besides, this probe can be also used to assay rifampicin in serum samples with satisfactory recoveries.

Nanoscience-Based Strategies to Engineer Antimicrobial Surfaces.

Microbial contamination and biofilm formation of medical devices is a major issue associated with medical complications and increased costs. Consequently, there is a growing need for novel strategies and exploitation of nanoscience‐based technologies to reduce the interaction of bacteria and microbes with synthetic surfaces. This article focuses on surfaces that are nanostructured, have functional coatings, and generate or release antimicrobial compounds, including “smart surfaces” producing antibiotics on demand. Key requirements for successful antimicrobial surfaces including biocompatibility, mechanical stability, durability, and efficiency are discussed and illustrated with examples of the recent literature. Various nanoscience‐based technologies are described along with new concepts, their advantages, and remaining open questions. Although at an early stage of research, nanoscience‐based strategies for creating antimicrobial surfaces have the advantage of acting at the molecular level, potentially making them more efficient under specific conditions. Moreover, the interface can be fine tuned and specific interactions that depend on the location of the device can be addressed. Finally, remaining important challenges are identified: improvement of the efficacy for long‐term use, extension of the application range to a large spectrum of bacteria, standardized evaluation assays, and combination of passive and active approaches in a single surface to produce multifunctional surfaces.

A step towards the end of the scale effect conundrum when predicting the shear strength of large in situ discontinuities

The shear strength of rock discontinuities is known to be scale dependent, and past research has revealed that both positive and negative scale effects could be observed. It is far from trivial to predict the occurrence of the scale effect and, to date, there is still no consensus on how to satisfactorily predict the shear strength of large discontinuities. A new stochastic approach was proposed and validated at laboratory scale by the authors. The approach consists of (1) using the information available from visible traces to create synthetic surfaces via a random field model and (2) estimating the shear strength of each one of the synthetic surfaces in order to obtain a distribution of shear strength and a mean shear strength. This paper presents the first application of this new approach to a large discontinuity that was surveyed with a resolution of 1 mm and an accuracy in the order of 150–230 µm in the Pilkington reserve of Newcastle, Australia. The paper first confirms that a scale effect does exist for the surface tested, before demonstrating that the new stochastic approach produces a strength envelope that is very close to the deterministic failure criterion of the whole surface. The key conclusion of this research is that there is enough information on visible traces, if surveyed accurately, to obtain an estimate of the shear strength of the discontinuity.

Combat biofouling with microscopic ridge-like surface morphology: a bioinspired study.

Biofouling refers to the unfavourable attachment and accumulation of marine sessile organisms (e.g. barnacles, mussels and tubeworms) on the solid surfaces immerged in ocean. The enormous economic loss caused by biofouling in combination with the severe environmental impacts induced by the current antifouling approaches entails the development of novel antifouling strategies with least environmental impact. Inspired by the superior antifouling performance of the leaves of mangrove tree Sonneratia apetala, here we propose to combat biofouling by using a surface with microscopic ridge-like morphology. Settlement tests with tubeworm larvae on polymeric replicas of S. apetala leaves confirm that the microscopic ridge-like surface morphology can effectively prevent biofouling. A contact mechanics-based model is then established to quantify the dependence of tubeworm settlement on the structural features of the microscopic ridge-like morphology, giving rise to theoretical guidelines to optimize the morphology for better antifouling performance. Under the direction of the obtained guidelines, a synthetic surface with microscopic ridge-like morphology is developed, exhibiting antifouling performance comparable to that of the S. apetala replica. Our results not only reveal the underlying mechanism accounting for the superior antifouling property of the S. apetala leaves, but also provide applicable guidance for the development of synthetic antifouling surfaces.

Biotoxicity of TiO₂ Nanoparticles on Raphidocelis subcapitata Microalgae Exemplified by Membrane Deformation.

TiO2 nanoparticles (NPs), which are mainly used in consumer products (mostly cosmetics), have been found to cause ecotoxic effects in the aquatic environment. The green algae Raphidocelis subcapitata, as a representative of primary producers of the freshwater ecosystem, has been frequently used to study the effects of metal oxide NPs. An ecotoxicity study was conducted herein to investigate the effects of TiO2 NPs on survival and membrane deformation of algal cells. Five different concentrations of nano-TiO2 particles (1, 10, 50, 100 and 500 mg/L) were prepared in synthetic surface water samples with five different water quality characteristics (pH 6.4–8.4, hardness 10–320 mg CaCO3/L, ionic strength 0.2–8 mM, and alkalinity 10–245 mg CaCO3/L). Results showed a significant increase in the hydrodynamic diameter of NPs with respect to both NP concentrations and ionic content of the test system. A soft synthetic freshwater system at pH 7.3 ± 0.2 appeared to provide the most effective water type, with more than 95% algal mortality observed at 50, 100 and 500 mg/L NP concentrations. At high exposure concentrations, increased malondialdehyde formations were observed. Moreover, due to membrane deformation, TEM images correlated the uptake of the NPs.

Biogenic Supported Lipid Bilayers from Nanosized Extracellular Vesicles

AbstractFabrication of synthetic surfaces that reproduce structure and function of biological membranes is an open challenge. This work reports the first example of supported lipid bilayers obtained from extracellular vesicles (EVSLBs). EVSLBs harness and pattern in two dimensions key properties of extracellular vesicle (EV) membranes, which present intermediate complexity between synthetic mimics and natural membranes and innate link to phenotype and function of the originating cells. Silica‐supported EVSLBs are formed from nanosized EVs—separated from culture media of prostate cancer model TRAMP‐C2 murine cells—following a characteristic crowding‐fusion pathway. They display peculiar properties at different length scales, such as 2.5 nm roughness, lipid‐raft‐like domains, and cushioned patches (with the cushion filled with the native EV biomolecular cargo), which preserve the native EV membrane orientation with the proto‐oncogene tyrosine‐protein kinase Src (c‐Src) accessible to antibody recognition.

Uncertainty modelling and analysis of volume calculations based on a regular grid digital elevation model (DEM)

The accuracy of earthwork calculations that compute terrain volume is critical to digital terrain analysis (DTA). The uncertainties in volume calculations (VCs) based on a DEM are primarily related to three factors: 1) model error (ME), which is caused by an adopted algorithm for a VC model, 2) discrete error (DE), which is usually caused by DEM resolution and terrain complexity, and 3) propagation error (PE), which is caused by the variables' error. Based on these factors, the uncertainty modelling and analysis of VCs based on a regular grid DEM are investigated in this paper. Especially, how to quantify the uncertainty of VCs is proposed by a confidence interval based on truncation error (TE). In the experiments, the trapezoidal double rule (TDR) and Simpson's double rule (SDR) were used to calculate volume, where the TE is the major ME, and six simulated regular grid DEMs with different terrain complexity and resolution (i.e. DE) were generated by a Gauss synthetic surface to easily obtain the theoretical true value and eliminate the interference of data errors. For PE, Monte-Carlo simulation techniques and spatial autocorrelation were used to represent DEM uncertainty. This study can enrich uncertainty modelling and analysis-related theories of geographic information science.

Control of minimum film-boiling quench temperature of small spheres with micro-structured surface

The control of minimum film-boiling quench temperature, TMFB is investigated in water quenching experiments with several micro-structured surfaces on small spheres (diameters 10 and 15 mm) under saturation temperature Tsat and 1 atm. The results show increase in TMFB and is related to the temperature drop across the micro-structures, and affected by its effective thermal conductivity 〈k〉, height L, and base diameter D, based on the fin theory. The local temperature drop of surface microstructure depends on the hybrid Biot number,Bih=hL2/(〈k〉D), where h is the heat transfer coefficient. The liquid–solid contact depends on this microstructure-tip temperature, and a model for TMFB with synthetic surface micro-structure is proposed and compared with the experimental results. The theoretical limit of maximum TMFB (under saturated water at 1 atm) for surface micro-structured small sphere is reached when Bih is beyond 102.

Polarimetric infrared imaging simulation of a synthetic sea surface with Mie scattering.

A novel method to simulate the polarimetric infrared imaging of a synthetic sea surface with atmospheric Mie scattering effects is presented. The infrared emission, multiple reflections, and infrared polarization of the sea surface and the Mie scattering of aerosols are all included for the first time. At first, a new approach to retrieving the radiative characteristics of a wind-roughened sea surface is introduced. A two-scale method of sea surface realization and the inverse ray tracing of light transfer calculation are combined and executed simultaneously, decreasing the consumption of time and memory dramatically. Then the scattering process that the infrared light emits from the sea surface and propagates in the aerosol particles is simulated with a polarized light Monte Carlo model. Transformations of the polarization state of the light are calculated with the Mie theory. Finally, the polarimetric infrared images of the sea surface of different environmental conditions and detection parameters are generated based on the scattered light detected by the infrared imaging polarimeter. The results of simulation examples show that our polarimetric infrared imaging simulation can be applied to predict the infrared polarization characteristics of the sea surface, model the oceanic scene, and guide the detection in the oceanic environment.

Raman studies of the interactions of fibrous carbon nanomaterials with albumin

Adsorption or immobilization of proteins on synthetic surfaces is a key issue in the context of the biocompatibility of implant materials, especially those intended for the needs of cardiac surgery but also for the construction of biosensors or nanomaterials used as drug carriers. The subject of research was the analysis of Raman spectra of two types of fibrous carbon nanomaterials, of great potential for biomedical applications, incubated with human serum albumin (HSA). The first nanomaterial has been created on the layer of MWCNTs deposited by electrophoretic method (EPD) and then covered by thin film of pyrolytic carbon introduced by chemical vapor deposition process (CVD). The second material was formed from carbonized nanofibers prepared via electrospinning (ESCNFs) of polyacrylonitrile (PAN) precursor and then covered with pyrolytic carbon (CVD). The G-band blue-shift towards the position of about 1600cm−1, observed for both studied surfaces, clearly indicates the albumin (HSA) adhesion to the surface. The G and G' (2D) peak shift was employed to assess the stress build up on the carbon nanomaterials. The surface nano- and micro-topography as well as the method of ordering the carbon nanomaterial has a significant influence on the mode of surface-protein interaction.

Subtle Variations in Surface Properties of Black Silicon Surfaces Influence the Degree of Bactericidal Efficiency

One of the major challenges faced by the biomedical industry is the development of robust synthetic surfaces that can resist bacterial colonization. Much inspiration has been drawn recently from naturally occurring mechano-bactericidal surfaces such as the wings of cicada (Psaltoda claripennis) and dragonfly (Diplacodes bipunctata) species in fabricating their synthetic analogs. However, the bactericidal activity of nanostructured surfaces is observed in a particular range of parameters reflecting the geometry of nanostructures and surface wettability. Here, several of the nanometer-scale characteristics of black silicon (bSi) surfaces including the density and height of the nanopillars that have the potential to influence the bactericidal efficiency of these nanostructured surfaces have been investigated. The results provide important evidence that minor variations in the nanoarchitecture of substrata can substantially alter their performance as bactericidal surfaces.