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[Display omitted] • The MAPbBr 3 -PdSe 2 heterojunction-based optoelectronic sensor demonstrates self-driven operation with a high specific detectivity up to 5.2 × 1011 Jones. • Under 0 V bias, the device exhibited a wide switchable range of optical responsivity from 137.5% to 27000%. • Simulating Pavlovian classical conditioned reflex experiments using electrical modulation have been realized, indicating the potential in adaptive machine vision. Neuromorphic optoelectronic sensors with in-sensor computing architecture hold great promise for applications that require processing large amounts of redundant data, such as the Internet of Things, robotics, and environmental sciences, due to their advantages of low time latency and energy efficiency. Halide perovskites, known for their extraordinary optoelectronic properties and stimuli-responsive characteristics, offer excellent opportunities for developing switchable visual sensors with high sensitivity, fast response, low energy consumption, and wide adaptive range. In this work, we successfully realized a MAPbBr 3 -PdSe 2 heterojunction-based optoelectronic sensor, demonstrating a responsivity of 28 mA/W and a high specific detectivity of 5.2 × 1011 Jones. A fast response time of ∼ 25 μs has also been achieved. Additionally, we investigated the role of voltage-induced ion migration in actively adjusting the device's photoresponse capacity. Under 0 V bias, the device exhibited a wide switchable range of optical responsivity from 137.5% to 27000%, significantly surpassing pure perovskite-based devices in previous reports. Moreover, we demonstrated the device's adaptive learning capabilities and reproducible switching characteristics by simulating Pavlovian classical conditioned reflex experiments using electrical modulation. These findings open up exciting possibilities for next-generation artificial vision systems that are energy-efficient, adaptive, and capable of learning and effectively responding to varying visual conditions. [ABSTRACT FROM AUTHOR]

The objective of the presented investigation was to determine the effects of microwave irradiation (MV irradiation) on the rheological characteristics of sewage sludge, and tried to explain the variation of apparent behaviors from a viewpoint of microcosmic composition. The results revealed that, from a macroscopic perspective, several rheological characteristics of sludge, including the apparent viscosity, limit viscosity and rheogram, were markedly changed by MV irradiation, and four rheological models ( Power law , IPC Paste , Casson and NCA/CMA Casson ) were found to be quite suitable for describing the rheological behaviors of sewage sludge before and after MV irradiation. However, from a microscopic perspective, MV irradiation effectively disintegrated multi-pole macromolecules contained in sludge, which reliably reduced the size of sludge particles and narrowed the particle size distribution. Even though the concentration of total solids increased following MV irradiation due to the evaporation of water, the content of macromolecules such as protein and polysaccharides in the remaining solids actually decreased. The changes in water content, chemical composition and particle size of sludge lead to variations of the total solids and the absolute value of zeta potential, which may be an essential reason for changing the rheological characteristics, including yield stress, thixotropy and apparent viscosity. [ABSTRACT FROM AUTHOR]

This work aims at revealing the key factors that limit the cleaner production level of a pickling process. By comparing the difference in their characteristics and the corrosion behaviors in an acidic medium, three kinds of sample, including the matrix steel (AS), the naturally-corroded carbon steel (NR) and the carbon steel treated under high temperature oxidation (OR), after immersed in the experimental solutions with or without hexamethylenetetramine (HA), were characterized with the methods, such as, electrochemical polarization, X-ray diffraction (XRD) and scanning electron microscopy (SEM). Results indicated, no matter which kind of rust layers, the adsorption of HA on their surface all accorded with the same adsorption isotherm. Although the rust layers did not change the adsorption pattern of HA directly, but their steric effect would influence the adsorption potential of HA; the forming process of rust layers (under different environmental conditions) heavily influenced their composition, structure, and the interface roughness between the rust layer and the metal matrix, and also influenced the corrosion behavior of samples in an acidic medium, which were the key factors that limited the cleaner production level of a pickling process. These results indicated that an object-oriented pickling strategy should be adopted for a practical pickling process. [ABSTRACT FROM AUTHOR]

This work aims at revealing the adhesion characteristics and microbial community of the biofilm in an integrated moving bed biofilm reactor–membrane bioreactor, and further evaluating their variations over time. With multiple methods, the adhesion characteristics and microbial community of the biofilm on the carriers were comprehensively illuminated, which showed their dynamic variation along with the operational time. Results indicated that: (1) the roughness of biofilm on the carriers increased very quickly to a maximum value at the start-up stage, then, decreased to become a flat curve, which indicated a layer of smooth biofilm formed on the surface; (2) the tightly-bound protein and polysaccharide was the most important factor influencing the stability of biofilm; (3) the development of biofilm could be divided into three stages, and Gammaproteobacteria were the most dominant microbial species in class level at the last stage, which occupied the largest ratio (51.48%) among all microbes. [ABSTRACT FROM AUTHOR]

[Display omitted] • Mesoporous Ni 2 P-Cu 3 P nanocomposite with more active sites has been constructed. • Abundant heterogeneous interfaces have been designed to adjust electronic structures. • The microstructure related catalytic ability has been investigated. • The optimal Ni 2 P-Cu 3 P/GCE sensor exhibits excellent performance in glucose detection. The transition-metal phosphides with metalloid characterics, exhibiting great application potential in the field of glucose detection that plays an important role in the treatment of diabetes, can achieve high sensitivity as a eletrocatalyst for nonenzymatic glucose sensors. However, it has the drawbacks of low detection range and difficulty in manufacture. In this work, a hybrid heterogeneous nanocomposite of copper and nickel phosphide (Ni 2 P-Cu 3 P) has been designed and successfully prepared by a mild one-step solvothermal method. Inspired by the porous characteristic of sponges, the mesoporous structure with a much larger surface area has been constructed by adjusting the reaction conditions and the element composition of copper and nickel to have more active sites, thus broadening linear range. The precisely designed heterogeneous nanostructure and the unique mesoporous morphology of Ni 2 P-Cu 3 P were confirmed and characterized by the XRD and TEM analysis. Electrochemical oxidation of glucose on the composite modified glassy-carbon electrode (Ni 2 P-Cu 3 P/GCE) was measured by chronoamperometry and cyclic voltammetry. At the optimal test potential of + 0.64 V, the Ni 2 P-Cu 3 P/GCE hybrid electrode possessed an ultra-high sensitive response of 4700 μA mM−1 cm−2 to glucose, in a broad linear range from 4 μM to 5 mM, and a low detection limit of 0.1 μM at an S/N ratio of 3. The electrode also exhibits excellent anti-interference properties towards other common co-existing electroactive distractions, such as ascorbic acid, uric acid, urea, dopamine, etc. [ABSTRACT FROM AUTHOR]