Shen Yin, Xianwei Li, Huijun Gao et al.
Hasil untuk "Industrial electrochemistry"
Menampilkan 20 dari ~3369036 hasil · dari DOAJ, Semantic Scholar, CrossRef
B. Frontana-Uribe, R. Little, J. G. Ibanez et al.
R. Drath, A. Horch
P. Mishra, Riccardo Verk, Daniele Fornasier et al.
We present a transformer-based image anomaly detection and localization network. Our proposed model is a combination of a reconstruction-based approach and patch embedding. The use of transformer networks helps preserving the spatial information of the embedded patches, which is later processed by a Gaussian mixture density network to localize the anomalous areas. In addition, we also publish BTAD, a real-world industrial anomaly dataset. Our results are compared with other state-of-the-art algorithms using publicly available datasets like MNIST and MVTec.
Qingqiang Sun, Zhiqiang Ge
Xiaofeng Yuan, Biao Huang, Yalin Wang et al.
In modern industrial processes, soft sensors have played an important role for effective process control, optimization, and monitoring. Feature representation is one of the core factors to construct accurate soft sensors. Recently, deep learning techniques have been developed for high-level abstract feature extraction in pattern recognition areas, which also have great potential for soft sensing applications. Hence, deep stacked autoencoder (SAE) is introduced for soft sensor in this paper. As for output prediction purpose, traditional deep learning algorithms cannot extract high-level output-related features. Thus, a novel variable-wise weighted stacked autoencoder (VW-SAE) is proposed for hierarchical output-related feature representation layer by layer. By correlation analysis with the output variable, important variables are identified from other ones in the input layer of each autoencoder. The variables are assigned with different weights accordingly. Then, variable-wise weighted autoencoders are designed and stacked to form deep networks. An industrial application shows that the proposed VW-SAE can give better prediction performance than the traditional multilayer neural networks and SAE.
F. Béguin, E. Frąckowiak
Zhen Zhang, Yun Zheng, Lanting Qian et al.
With the rising level of atmospheric CO2 worsening climate change, a promising global movement toward carbon neutrality is forming. Sustainable CO2 management based on carbon capture and utilization (CCU) has garnered considerable interest due to its critical role in resolving emission‐control and energy‐supply challenges. Here, a comprehensive review is presented that summarizes the state‐of‐the‐art progress in developing promising materials for sustainable CO2 management in terms of not only capture, catalytic conversion (thermochemistry, electrochemistry, photochemistry, and possible combinations), and direct utilization, but also emerging integrated capture and in situ conversion as well as artificial‐intelligence‐driven smart material study. In particular, insights that span multiple scopes of material research are offered, ranging from mechanistic comprehension of reactions, rational design and precise manipulation of key materials (e.g., carbon nanomaterials, metal–organic frameworks, covalent organic frameworks, zeolites, ionic liquids), to industrial implementation. This review concludes with a summary and new perspectives, especially from multiple aspects of society, which summarizes major difficulties and future potential for implementing advanced materials and technologies in sustainable CO2 management. This work may serve as a guideline and road map for developing CCU material systems, benefiting both scientists and engineers working in this growing and potentially game‐changing area.
Jia Du, Gustav K. H. Wiberg, Matthias Arenz
Developing efficient, acid‐stable, and noncritical oxygen evolution reaction (OER) catalysts is crucial for the advancement of multiple renewable energy technologies. In this work, the design and synthesis of manganese oxide‐based catalysts (MnOx) are investigated, combined with varying ratios of gold nanowires (Au NWs)—both considered noncritical raw materials—to fabricate composite materials for use in acidic OER. The experimental findings indicate that approximately two‐thirds of MnOx within the catalyst layer is fully utilized when Mn is present at an atomic ratio of 5:1 to Au. This is primarily attributed to the incorporation of Au NWs, which markedly improves the conductivity of the catalyst layer. Cyclic voltammetry analyses suggest that in the composite with an atomic ratio of 5 Mn to 1 Au, Mn3+ remains persistently present on the surface of MnOx throughout testing. This not only maintains the enhanced OER activity, but also significantly reduces Mn dissolution. Moreover, gas diffusion electrode measurements demonstrate that the “5Mn + 1Au” composite can achieve a current density of 1000 mA cm−2. This observation reinforces the concept of employing composite electrocatalysts derived from noncritical raw materials and highlights their potential for catalyzing the OER in acidic environments.
Dr. Salimeh Saleh, Dr. Sven Daboss, Tom Philipp et al.
Abstract The solid electrolyte interphase (SEI) formation on hard carbon (HC), as one of the most widely used anode materials in sodium (Na)‐ion batteries, is still not fully understood compared to the SEI formation on anodes used in lithium (Li)‐ion batteries, in terms of passivation properties and stability, which strongly depends on various factors such as experimental parameters and the electrolyte composition. Herein, we report the localized formation of SEI microspots on HC using cyclic voltammetry in combination with scanning electrochemical cell microscopy (SECCM) in non‐aqueous ether‐ and carbonate‐based electrolytes. Using the same instrumental setup for SECCM and for atomic force microscopy (AFM), the locally formed SEI spots could be directly characterized with respect to the morphology, height, passivation and nanomechanical properties in dependence of the experimental deposition parameters such as scan rate and cycling number. In addition, time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) in combination with AFM revealed the chemical composition of the SEI layer by recording spatially resolved 3D mass maps of the SEI spots. This combination of high‐resolution microscopic and spectrometric methods provides new insights into the dynamics of SEI formation as a function of the electrolyte and the experimental parameters.
Gemma E. Howard, Jonathan E. H. Buston, Jason Gill et al.
We report on the effect state of charge (SoC), cell format, and chemistry have on the volume and composition (H<sub>2</sub>, CO<sub>2</sub>, CO, CH<sub>4</sub>, C<sub>2</sub>H<sub>4</sub>, C<sub>2</sub>H<sub>6</sub>, C<sub>3</sub>H<sub>6</sub>, and C<sub>3</sub>H<sub>8</sub>) of cell failure gas from Li-ion cells. Nickel manganese cobalt oxide (NMC) 21700 cells with a 5 Ah capacity were externally heated to failure at a 5–100% SoC under an inert atmosphere. This showed that the volume of gas increased with cell SoC (1.8 L at 5% SoC vs. 8.3 L at 100% SoC). The effect of the cell chemistry format and abuse method was also investigated using 18650, pouch, and prismatic cells (2.3–50 Ah) with Ni-based or lithium cobalt oxide (LCO) cathodes or lithium titanium oxide (LTO) anodes. The results showed that at higher SoCs, larger quantities of gas were generated; however, there was no correlation between the cell SoC and the composition of gases produced. Tests on the other cells found that the Ni-based cell generated 1.29–1.89 L/Ah of gas. The main constituents of this were H<sub>2</sub>, CO, and CO<sub>2</sub>; however, all other hydrocarbons were identified in varying quantities. The LTO cells generated lower volumes of gas, 0.8 L/Ah compared to Ni-based cells, and the gas was found to contain lower H<sub>2</sub> concentrations but higher concentrations of CO<sub>2</sub>. The LCO cell was found to generate a gas volume of 1.2 L/Ah. This forms the final of four papers which cover a total of 213 tests on 29 cell types with six different chemistries, all tested using a single robust testing method.
Balamurugan Thangavel, Won Han, Joong Ho Shin
An electrochemical potential-assisted functionalization strategy is used to immobilize resazurin (AZ) on multiwalled carbon nanotube surfaces in a physiological buffer leading to the formation of a resorufin/dihydro resorufin (RR/DRR) redox couple. The electrochemical characterizations that reveal the modified surface are surface-confined behavior with an electron transfer rate constant of 4.4 s−1. Thus modified RR/DRR redox couple was found to modulate the interfacial characteristics to the benefits of bio-electrocatalysis since the redox molecule has sensitivity to pH, negative redox potential, and selectivity to analytes. The hydrogen peroxide (H2O2) reduction and sensing performance of the AZ-modified electrode surface were evaluated. The experimental results revealed the direct detection of high concentrations of H2O2 at the electrified interface before the oxygen reduction potential. Furthermore, the designed sensor exhibited high selectivity for H2O2 even in the presence of interfering molecules in the solution. In addition, for the demonstration, the glucose oxidase enzymes were immobilized on carbon nanotubes modified with an RR/DRR redox couple, and the electron tunneling behavior was investigated. The developed sensor could be used for the reagent-less electrochemical biosensing of glucose up to 30 mM. Thus, the AZ-based redox electrode catalysts can be applied in diverse biosensor applications.
Vladimir D. Ivanov
Marko S. Chavez, Magdalene A. MacLean, Nir Sukenik et al.
Electroactive microorganisms such as Geobacter sulfurreducens can couple organic electron donor oxidation to the respiration of electrode surfaces, colonizing them in the process. These microbes can also reduce soluble metal ions, such as soluble Pd, resulting in metallic nanoparticle (NP) synthesis. Such NPs are valuable catalysts for industrially relevant chemical production; however, their chemical and solid-state syntheses are often energy-intensive and result in hazardous byproducts. Utilizing electroactive microbes for precious metal NP synthesis has the advantage of operating under more sustainable conditions. By combining G. sulfurreducens’s ability to colonize electrodes and synthesize NPs, we performed electrode cultivation ahead of biogenic Pd NP synthesis for the self-assembled fabrication of a cell-Pd biomaterial. G. sulfurreducens biofilms were grown in electrochemical reactors with added soluble Pd, and electrochemistry, spectroscopy, and electron microscopy were used to confirm (1) metabolic current production before and after Pd addition, (2) simultaneous electrode respiration and soluble Pd reduction over time, and (3) biofilm-localized Pd NP synthesis. Utilizing electroactive microbes for the controlled synthesis of NPs can enable the self-assembly of novel cell-nanoparticle biomaterials with unique electron transport and catalytic properties.
Javad B. M. Parambath, K. Vijai Anand, Hussain Alawadhi et al.
In this study, we report the modification of flexible copper films via the spontaneous reduction of aryldiazonium gold salts [X-4-C6H4N≡N]AuCl4 (X═COOH, NO2). The electroless modification involves dipping of flexible copper films in the aryldiazonium gold solutions for a few seconds, under ambient conditions, followed by a washing step with deionized water to obtain a mechanically robust gold-aryl coating. The chemical composition, morphology, electronic structure, and optical properties of the gold-aryl layer and the flexibility of the modified copper films are supported by the results from X-ray photoelectron spectroscopy (XPS), electrochemistry, contact angle, scanning electron microscopy (SEM), and ultraviolet photoelectron spectroscopy (UPS). XPS surface analysis showed metallic gold in addition to C-C, C-O/C-N, and C═O functional groups from the grafted aryls. Cu 2p showed metallic copper as a major component and a small amount of Cu(II) ions. Wettability studies showed that Au-COOH@Cu increased the contact angle of the bare copper films from 68.0 ± 0.7° to 82.0° ± 0.7°, while Au-NO2@Cu increased the contact angle to 134.0° ± 0.3°. UPS energy profile analysis of [HOOC-4-C6H4N≡N]AuCl4 (valence band maximum = 1.91 eV) exhibited greater reducibility than [O2N-4-C6H4N≡N]AuCl4 (valence band maximum = 2.91 eV). The lower ionization potential of [HOOC-4-C6H4N≡N]AuCl4 (IP = 4.33 eV) enhanced the reactivity upon copper film contact, potentially inducing efficient energy level alignment, compared with [O2N-4-C6H4N≡N]AuCl4 (IP = 5.62 eV). UPS results were further supported by electrochemistry investigation which revealed that [HOOC-4-C6H4N≡N]AuCl4 is easily reducible compared with [O2N-4-C6H4N≡N]AuCl4. The findings presented here hold significant implications for developing flexible copper films and pave the way for future advancements in electronic material modification for industrial applications.
Xiuding Shi, Zhi Huang, Lihua Liu et al.
Electrocatalytic coupled biofilter (EBF) technology organically integrates the characteristics of electrochemistry and microbial redox, providing ideas for effectively improving biological treatment performance. In this study, an EBF system was developed for enhanced degradation of cyclohexanone in contaminated water. Experimental results show that the system can effectively remove cyclohexanone in contaminated water. Under the optimal parameters, the removal rates of cyclohexanone, TP, NH4+-N and TN were 97.61 ± 1.31%, 76.31 ± 1.67%, 94.14 ± 2.13% and 95.87 ± 1.01% respectively. Degradation kinetics studies found that electrolysis, adsorption, and biodegradation pathways play a major role in the degradation of cyclohexanone. Microbial community analysis indicates that voltage can affect the structure of the microbial community, with the dominant genera shifting from Acidovorax (0 V) to Brevundimonas (0.7 V). Additionally, Acidovorax, Cupriavidus, Ralstonia, and Hydrogenophaga have high abundance in the biofilm and can effectively metabolize cyclohexanone and its intermediates, facilitating the removal of cyclohexanone. In summary, this research can guide the development and construction of highly stable EBF systems and is expected to be used for advanced treatment of industrial wastewater containing cyclohexanone.
Hayder K. Admawi, Ahmed A. Mohammed
In this study, a simultaneous removal of cadmium, cobalt, and nickel from an aqueous solution through the Green Emulsion Liquid Membrane (GELM) method was carried out. A 7:3 ratio of sunflower oil to kerosene was utilized as the membrane phase stabilized by Span 80 as the emulsifier. D2EHPA as a carrier and HCl as an inner phase were used. Extraction and stripping efficiencies of 97.45% and 98.42% for Cd2+, 96.82% and 97.84% for Co2+, 89.74% and 92.69% for Ni2+, respectively, with the lowest breakage (0.8%) were obtained under the best operating conditions. An extensive investigation of the influence of homogenizer speed, external and internal phase acidity, the HLB value of the surfactant (Tween 80 and Span 80), surfactant and carrier concentrations, volume ratio of the membrane to internal phase, mixer speed, ratio of external to membrane phase emulsification time and extraction time on the stability of membrane, extraction, and stripping efficiencies were carried out. Kinetic analysis of cadmium, cobalt, and nickel extraction was performed using zero, first, and second-order models at optimum conditions. The experimental data fit well with first-order for three metal ions. The coefficient of the total mass transfer (Ft) of cadmium through the GELM technique was 3.28% higher than that of cobalt and 28.61% higher than that of nickel, while the Ft of cobalt is 25.33% higher than that of nickel. Using the recovered membrane, the extraction of the three metal ions for the initial six cycles was extremely efficient under the best conditions.
Mohamed Sharafeldin, J. Rusling
Rapid, accurate diagnoses are central to future efficient healthcare to identify diseases at early stages, avoid unnecessary treatment, and improve outcomes. Electrochemical techniques have been applied in many ways to support clinical applications by enabling the analysis of relevant disease biomarkers in user-friendly, sensitive, low-cost assays. Electrochemistry offers a launchpad for multiplexed biomarker assays that offer more accurate and precise diagnostics compared to single biomarker assays. In this short review, we underpin the importance of multiplexed analyses and provide a universal overview of current electrochemical assay strategies for multiple biomarkers. We highlight relevant examples of electrochemical methods that successfully quantify important disease biomarkers. Finally, we offer a future outlook on possible strategies that can be employed to increase throughput, sensitivity, and specificity of multiplexed electrochemical assays.
Muhammed Aslam Khan, Y. Hemar, Jiecheng Li et al.
Abstract Re-assembled casein micelles (rCMs), were formulated in the 1970s as a model system to understand native casein micelles (nCMs) in milk. These early works allowed an understanding of the critical factors involved in the formation of rCMs, such as minerals (citrate, phosphate, and calcium), casein type (αs-, β-, and κ-casein) and the extent of their phosphorylation. rCMs were also used to understand the effect of treatments such as ethanol, high hydrostatic pressure and heating on the stability and integrity of the micelles. More recently, the applications of rCMs have been investigated, these include their use as a nanocarrier of bioactive molecules and as electrode-bound substrates to monitor chymosin activity by electrochemistry, to cite a few. Moreover, the potential to use rCMs in both food and non-food applications remains to be fully exploited. The advantage of choosing rCMs over nCMs as an encapsulant and a lucrative food ingredient is due to their more efficient preparation and being free from impurities. In this review, we report on the formulation of rCMs, their physico-chemical properties and their behavior under different physico-chemical treatments, along with the applications and challenges of rCMs in food systems and their industrial production as a dairy ingredient.
A. Cetinkaya, S. Kaya, S. Ozkan
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