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Supported-adsorbents growing on the substrate in situ are equipped with the advantages of high adsorption capacity, excellent regeneration performance, and adaptability to complex wastewater. However, the effects of substrate on the adsorption properties of supported-adsorbent are rarely considered, which will hinder its development and scale-up applications. In this study, the influences of different substrates (Ti, Mo, W, CC) on the Ag+ adsorption behavior of supported-MoS 2 adsorbents were investigated. The adsorption kinetics, adsorption mechanism, and the renewability of these supported-MoS 2 were compared orderly. As a result, MoS 2 grown on a tungsten substrate (MoS 2 –W) exhibits a remarkable adsorption capacity for Ag+ (1.98 mg cm−2 and 598.80 mg g−1), which is 6.38–33 times more than the other three supported-MoS 2. Moreover, the MoS 2 –W also possesses an ultrahigh distribution coefficient (24.80 mL cm−2) for Ag+, and the selection coefficient can reach 1984. XRD and electrochemical characterization analysis indicated that Ag+ adsorption performance of supported-MoS 2 is positively correlated with the degree of its amorphous structure. Substrate W with the terrific electrical properties which may facilitate the disordered growth of MoS 2 , resulting in more active sites exposed, and endow MoS 2 –W with outstanding Ag+ capture performance. Finally, the supported-MoS 2 retains a high removal efficiency of Ag+ after 5 cycles of adsorption and desorption. This study provides a novel perspective for promoting the practical application of supported-sorbents to recycle heavy metals. [Display omitted] • The substrate effect of supported-adsorbent for removing Ag+ has been studied. • The Ag+ adsorption mechanisms and selectivity of different MoS 2 were compared. • W substrate spurs the electrons transfer and transformed the crystal phase of MoS 2. • Supported-adsorbent showed excellent cycle stability owing to structural advantage. [ABSTRACT FROM AUTHOR]

The Streptomyces virginiae strain W18 was screened from soil, which exhibited broad-spectrum antibacterial activity against fish pathogens. Safety assays showed that strain W18 had no toxicity to fish. Additionally, strain W18 promoted the growth performance of Carassius auratus after feeding in feed mixed with bacteria for one month. Moreover, the activities of AKP, ACP, and SOD in the serum of C. auratus were significantly increased, while the activity of LZM did not greatly change. To detect the expression levels of the genes related to immune factors in the livers, kidneys, and spleens of C. auratus , qRT-PCR was performed. The expression levels of KEAP1, IL-8, TNF-α, IL-β, and C3 were upregulated in all three organs compared to the control, but LZM expression was downregulated in the kidney. The challenge experiment illustrated that the probability of infection with Aeromonas veronii was reduced by 60% and 40% when C. auratus was fed with two different doses of strain W18 in advance. The whole genome of strain W18 was sequenced, and the gene clusters of secondary metabolites in strain W18 were analyzed by AntiSMASH. The results showed that strain W18 contained a total of 26 gene clusters, and functional annotation analysis was conducted by using the non-coding databases COG and KEGG. All of the above results indicated that the use of strain W18 as a feed additive could enhance the resistance of C. auratus toward pathogenic bacteria and disease. In conclusion, an antagonistic strain (W18) against fish pathogenic bacteria was obtained in this study, which is of great significance for finding new treatment methods for bacterial diseases in the aquaculture industry. • A new Streptomyces virginiae strain W18 was isolated and it showed broad-spectrum bacteriostatic effect against fish pathogens. • For the first time, it was found that strain W18 could improve the immunity and growth performance of C. auratus , and also enhance the resistance of C. auratus to Aeromonas veronii. • Strain W18 contained a large number of gene clusters related to antimicrobial activity as revealed by genomic analysis. [ABSTRACT FROM AUTHOR]

Abstract: CuS hollow spheres have been successfully synthesized through a facile microemulsion-template-interfacial-reaction route using copper naphthenate as metal precursor and thioacetamide as the source of S2−. In this way, hollow spheres could be obtained directly since the reaction of two reactants respectively dissolved in two different phases of an oil-in-water (o/w) microemulsion only occurs at the oil/water interface. Therefore, it is a key for forming hollow spheres to optimize the interfacial reaction rate by controlling reaction conditions. Furthermore, the size of the hollow spheres can be tailored by changing the content of oil phase. In this study, the average diameter of the CuS hollow spheres can be adjusted from 110 to 280nm by changing the content of oil phase from 0.5ml to 1.5ml. In addition, the reaction temperature is a very important factor for forming CuS hollow spheres and the appropriate reaction temperature is about 50°C. [Copyright &y& Elsevier]

In recent years, the utilization of wastewater recycling as an alternative water source has gained significant traction in addressing urban water shortages. Accurate prediction of wastewater quantity is paramount for effective urban river water resource management. There is an urgent need to develop advanced forecasting technologies to further enhance the accuracy and efficiency of water quantity predictions. Decomposition ensemble models have shown excellent predictive capabilities but are challenged by boundary effects when decomposing the original data sequence. To address this, a rolling forecast decomposition ensemble scheme was developed. It involves using a machine learning (ML) model for prediction and progressively integrating prediction outcomes into the original sequence using complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN). Long short-term memory (LSTM) is then applied for sub-signal prediction and ensemble. The ML-CEEMDAN-LSTM model was introduced for wastewater quantity prediction, compared with non-decomposed ML models, CEEMDAN-based LSTM models, and ML-CEEMDAN-based LSTM models. Three ML algorithms—linear regression (LR), gradient boosting regression (GBR), and LSTM—were examined, using real-time prediction data and historical monitoring data, with historical data selected using the decision tree method. The study used daily water volumes data from two reclaimed water plants, CH and WQ, in Beijing. The results indicate that (1) ML models varied in their selection of real-time factors, with LR performing best among ML models during testing; (2) the ML-CEEMDAN-LSTM model consistently outperformed ML models; (3) the ML-CEEMDAN-LSTM hybrid model performed better than the CEEMDAN-LSTM model across different seasons. This study offers a reliable and accurate approach for reclaimed water volumes forecasting, critical for effective water environment management. • An adaptive forecast-decomposition-ensemble scheme is proposed. • Gradually incorporating the single-model prediction results into the original sequence to contribute to the decomposition process. • Adding real-time information is helpful to improve the accuracy of single-model prediction. • The predictive performance of the proposed model exceeds that of both single-models and decomposition ensemble models. [ABSTRACT FROM AUTHOR]

Cu 2 O/MoO 2 hybrid was prepared for photoelectrocatalytic water reduction. Theoretical and experimental results both indicate the charge transfers from Cu 2 O to MoO 2 and forms an intimated binding interface via ionic interaction. A well-aligned energy level was formed between Cu 2 O and MoO 2 , which enables the formation of an internal electric field at their interfaces, facilitating charge separation, directional transfer, and reaction. The reduction of Cu+ and the photocorrosion of Cu 2 O were inhibited via the deposited MoO 2 , and finally, Cu 2 O/MoO 2 hybrid exhibited improved PEC activity and stability. [Display omitted] • Cu 2 O was chemically bonded with MoO 2 and formed a compact hybrid structure as well as exhibited good structural stability. • Cu 2 O/MoO 2 photocathode delivers 6.85 times higher photocurrent density than that of Cu 2 O and excellent operating stability. • Cu 2 O and MoO 2 construct an energetically favorable energy band bending that inhibits the photogenerated charge reflux and recombination. • Metallic MoO 2 can stabilize the Cu 2 O surface against the reduction of Cu+ via a formed internal electric field, thus suppressing photocorrosion. Photoelectrocatalyzing water reduction is a potential approach to building a green and sustainable society. As a benchmark photocathode, Cu 2 O receives much attention but faces serious charge recombination and photocorrosion. This work prepared an excellent Cu 2 O/MoO 2 photocathode via in situ electrodeposition. A systematical study of theory and experiment demonstrates that MoO 2 not only effectively passivates the surface state of Cu 2 O as well as accelerates reaction kinetics as a cocatalyst, but also promotes the directional migration and separation of photogenerated charge. As expected, the constructed photocathode exhibits a highly enhanced photocurrent density and an appealing energy transformation efficacy. Importantly, MoO 2 can inhibit the reduction of Cu+ in Cu 2 O via a formed internal electric field and shows excellent photoelectrochemical stability. These findings pave the way to designing a high-activity photocathode with high stability. [ABSTRACT FROM AUTHOR]

Spent selective catalytic reduction (SCR) catalysts are environmentally hazardous and resource-enriching. In this work, V, W, and As in a spent SCR catalyst was extracted by alkali pressure leaching. Results showed that the V, W, and As were loaded on the anatase TiO 2 crystal grains as amorphous oxides. The optimum pressure leaching conditions were NaOH concentration of 20 wt%, reaction temperature of 180 °C, reaction time of 120 min, L/S of 10 mL/g, and stirring speed of 300 rpm. The leaching efficiency of W, V, and As reached 98.83%, 100%, and 100%, respectively. The experiment revealed the preferential leaching of V and As rather than W, and the leaching mechanisms of V, W, and As were studied through experiment and density functional theory (DFT). The leaching kinetics of W conformed to a variant of the shrinking core model and the leaching process of W is controlled by both chemical reactions and diffusion processes. During the leaching process, Na 2 Ti 2 O 4 (OH) 2 product powder layer was generated, which affects the mass transfer of W. The destruction of the TiO 2 skeleton in the spent SCR catalyst is essential for adequate W extraction, especially for the extraction of W embedded in the TiO 2 lattice. The DFT simulation result indicated that the V and As loaded onto the TiO 2 support are easier to absorb hydroxide ions rather than W, and the leaching reaction energy of V and As was lower than W, As, and V has leaching priority over the leaching of W. Furthermore, an anatase TiO 2 photocatalyst with the {001} crystal surface exposed was successfully prepared from the alkali pressure leaching residue. This work provides theoretical support for the metal leaching and utilization of spent SCR catalysts via alkali pressure leaching. • Extraction of W, V, and As from spent catalyst by NaOH pressure leaching. • The leaching kinetics and mechanism of W were studied. • The leaching mechanism of W, V, and As was proved by simulation results. • {001} facet exposed TiO 2 photocatalyst was prepared using the NaOH leaching residue. [ABSTRACT FROM AUTHOR]

• A tapered multicore fiber based on Mach-Zehnder principle for SRI sensing with low temperature cross-sensitivity has been proposed. • By fusion slicing a segment of MMF, an improved SMF-MMF-TMCF-SMF (SMTmS) structure is proposed. • The performance improvement is simulated and proved experimentally. An optic fiber refractive index (RI) sensor based on SMF-MMF-TMCF-SMF (SMTmS) structure is proposed. The MMF segment is introduced and confirmed theoretically and experimentally to act as an efficient optical coupler to launch the light from the center core to the cladding. Experimental results demonstrate that SMTmS is highly sensitive (1435.76 nm/RIU) to low surrounding RI in the range of 1.3330–1.3451. The temperature sensing has been implemented and the total wavelength shift of only 1.83 nm is achieved for the range of 30 °C–100 °C, implying a relatively low temperature cross-sensitivity of 2.01 × 10−5 RIU/°C. The developed sensor with high RI sensitivity and low temperature cross-sensitivity could be rather suitable and applicable in the fields of seawater sensing and environmental monitoring. [ABSTRACT FROM AUTHOR]