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Long-term and extensive usage of thiamethoxam, the second-generation neonicotinoid insecticide, has caused a serious threat to non-target organisms and ecological security. Efficient immobilized microorganism techniques are a sustainable solution for bioremediation of thiamethoxam contamination. A Gram-negative aerobic bacterium Chryseobacterium sp H5 with high thiamethoxam-degrading efficiencies was isolated from activated sludge. Then we developed a novel polyvinyl alcohol (PVA)/sodium alginate (SA)/biochar bead with this functional microbe immobilization to enhance the biodegradation and removal of thiamethoxam. Results indicated that the total removal and biodegradation rate of thiamethoxam with PVA/SA/biochar (0.7 %) beads with Chryseobacterium sp H5 immobilization at 30 °C and pH of 7.0 within 7 d reached about 90.47 % and 68.03 %, respectively, much higher than that using PVA/SA immobilized microbes (75.06 %, 56.05 %) and free microbes (61.72 %). Moreover, the PVA/SA/biochar (0.7 %) immobilized microbes showed increased tolerance to extreme conditions. Biodegradation metabolites of thiamethoxam were identified and two intermediates were first reported. Based on the identified biodegradation intermediates, cleavage of C-N between the 2-chlorothiazole ring and oxadiazine, dichlorination, nitrate reduction and condensation reaction would be the major biodegradation routes of thiamethoxam. Results of this work suggested the novel PVA/SA/biochar beads with Chryseobacterium sp H5 immobilization would be helpful for the effective bioremediation of thiamethoxam contamination. [Display omitted] • A novel PVA/SA/biochar immobilization carrier was developed. • A thiamethoxam-degrading bacterium Chryseobacterium sp H5 was isolated. • Microbes within PVA/SA/biochar beads showed higher tolerance to extreme conditions. • Two new biodegradation intermediates of thiamethoxam were first reported. • Cleavage of C-N, dichlorination, and nitrate reduction would be the major routes. [ABSTRACT FROM AUTHOR]

[Display omitted] • Diverse people groups are confronted with distinct risks of neonicotinoid intake. • Boiling has negligible effect on the elimination of neonicotinoids. • The most frequently detected neonicotinoid was imidacloprid in the tap water. • Human activity and weather play important roles in neonicotinoids in the tap water. • Humans in 9 months –2 years are subjected to the highest drinking neonicotinoids. Neonicotinoids (NEOs) are the most widely used pesticides and have posed a serious threat to human health. However, data on human exposure to NEOs are extremely scarce. To bridge this gap, human exposure potential of NEOs through drinking water consumption and percutaneous penetration was evaluated with the influences of 17 age groups, 4 seasons, 6 regions, and 2 genders. The results showed that drinking water in the present study had an upper middle level of NEO contamination. Anthropogenic activity and weather condition played important roles in the regional distribution of NEOs in tap water. For both children and adults, N EOs intake from d rinking water e xposure (NDE) and p ercutaneous e xposure (NPE) in the south regions of China are significantly higher than those in the north regions, while the order of NDE and NPE by season is summer > spring = autumn > winter. Furthermore, human age and gender also have remarkable impacts on NDE and NPE. The age groups of children subjected to the highest NDE and NPE were 9 months – 2 years old and 9–12 years old, respectively. This study provides insights into the role of seasonal and regional influence, age and gender in the risk of drinking water and percutaneous exposure to NEOs. [ABSTRACT FROM AUTHOR]

Imidacloprid (IMI) is existence in the soil environment with a half-life habitually more than hundred days. This study targets to determine, identify and characterize photo-biodegradation bacteria from neonicotinoids (NEOs) contaminated agricultural field soils. The sub-surface soil had a higher level contamination of NEOs, in specifically greater concentration of IMI (3445.2 ± 0.09 μg/g) and thiacloprid (4084.4 ± 0.09 μg/g) has been found. Three bacteria Ralstonia pickettii (PBMS-2), Bacillus cereus (PBMS-3) and Shinella zoogloeoides (PBMS-4) was identified from soil-free stable enrichment cultures. The biodegradability of IMI (50 mg L−1) by three bacteria under different colors of light-emitting diodes (LEDs) with a constant 12 V power supply was tested and found that the blue-LEDs had greatest efficiency in supporting biodegradation of IMI which is called photo-biodegradation. In specific, the rate of photo-biodegradation of IMI by Ralstonia pickettii (87%), Bacillus cereus (80%) and Shinella zoogloeoides (80%) was measured. Besides this study also tested the effect of aeration (rpm), pH, and temperature on photo-biodegradation of IMI. There were seven intermediate metabolites were measured as biodegradation products of IMI under photo-biodegradation conditions and they are; IMI-urea, IMI-desnitro, 6-chloronicotinic acid, 6-hydroxy nicotinic acid, IMI- aminoguanidine, IMI-nitrosoguanidine and 4,5-hydroxy IMI, these metabolites are may non-toxic to the environment. • Neonicotinoids insecticide such as imidacloprid in the soil environment had greater half-life. • The agricultural field sub-surface soil had a higher concentration of IMI (3445.2 ± 0.09 μg/g). • Photo-biodegradation performance is greater than separate photo degradation and biodegradation. • The bacteria of Ralstonia pickettii with blue-LEDs enhanced IMI degradation rate. [ABSTRACT FROM AUTHOR]

Elastic pressure sensors play a crucial role in the digital economy, such as in health care systems and human–machine interfacing. However, the low sensitivity of these sensors restricts their further development and wider application prospects. This issue can be resolved by introducing microstructures in flexible pressure-sensitive materials as a common method to improve their sensitivity. However, complex processes limit such strategies. Herein, a cost-effective and simple process was developed for manufacturing surface microstructures of flexible pressure-sensitive films. The strategy involved the combination of MXene–single-walled carbon nanotubes (SWCNT) with mass-produced Polydimethylsiloxane (PDMS) microspheres to form advanced microstructures. Next, the conductive silica gel films with pitted microstructures were obtained through a 3D-printed mold as flexible electrodes, and assembled into flexible resistive pressure sensors. The sensor exhibited a sensitivity reaching 2.6 kPa−1 with a short response time of 56 ms and a detection limit of 5.1 Pa. The sensor also displayed good cyclic stability and time stability, offering promising features for human health monitoring applications. [ABSTRACT FROM AUTHOR]

As an indispensable part of wearable devices and mechanical arms, stretchable conductors have received extensive attention in recent years. The design of a high-dynamic-stability, stretchable conductor is the key technology to ensure the normal transmission of electrical signals and electrical energy of wearable devices under large mechanical deformation, which has always been an important research topic domestically and abroad. In this paper, a stretchable conductor with a linear bunch structure is designed and prepared by combining numerical modeling and simulation with 3D printing technology. The stretchable conductor consists of a 3D-printed bunch-structured equiwall elastic insulating resin tube and internally filled free-deformable liquid metal. This conductor has a very high conductivity exceeding 104 S cm−1, good stretchability with an elongation at break exceeding 50%, and great tensile stability, with a relative change in resistance of only about 1% at 50% tensile strain. Finally, this paper demonstrates it as a headphone cable (transmitting electrical signals) and a mobile phone charging wire (transmitting electrical energy), which proves its good mechanical and electrical properties and shows good application potential. [ABSTRACT FROM AUTHOR]

The Partial nitritation-Anammox (PN/A) process can be restricted when treating high ammonia nitrogen wastewater containing antibiotics. This study aims to explore the response mechanism of the PN/A process under antibiotic stress. Results showed the PN/A process achieved a nitrogen removal rate higher than 1.01 ± 0.03 kg N/m3/d under long-term sulfamethazine stress. The increase of extracellular polymers from 22.52 to 43.96 mg/g VSS was conducive to resisting antibiotic inhibitory. The increase of Denitratisoma and SM1A02 abundance as well as functional genes nirS and nirK indicated denitrifiers should play an important role in the stability of the PN/A system under sulfamethazine stress. In addition, antibiotic-resistant genes (ARGs) sul1 and intI1 significantly increased by 8.78 and 5.12 times of the initial values to maintain the resistance of PN/A process to sulfamethazine stress. This study uncovers the response mechanism of the PN/A process under antibiotic stress, offering a scientific basis and guidance for further application in the future. [Display omitted] • PN/A process maintain a nitrogen removal efficiency >81.09% under SMZ stress. • Extracellular polymers increased to 43.96 mg/g VSS to protect PN/A system. • Denitrifiers gradually become one of the dominant bacteria for system stability. • Antibiotic-resistant genes (sul1 , sul2) increased by 8.78 and 3.08 times. [ABSTRACT FROM AUTHOR]

A retrospective study was conducted on 51 patients undergoing hip fracture surgery to investigate the factors associated with the formation of deep venous thrombosis (DVT). The independent sample t-test and correlation analysis were used to sort out and analyze the data. The findings are as follows. (1) Different gender samples showed significant differences in the Caprini score and thrombus location. Most DVTs in females are located in the posterior tibial vein and intermuscular veins. The Caprini score of females was significantly higher than that of males. (2) Age displays a positive correlation with DVT, coronary heart disease, hypertension, and different surgical types, respectively. (3) There is a correlation between age and operation duration. (4) Hyperlipidemia and cerebrovascular disease show a positive correlation with DVT. (5) There was a significant negative correlation between the Caprini score and the quantification of D-dimer. This indicates that in this sample, the higher the patients' Caprini score is, the lower the quantitation of D-dimer will be. (6) Hyperlipidemia and cardiac insufficiency show a positive correlation with cerebrovascular disease. Patients with hyperlipidemia and cardiac insufficiency may also suffer from cerebrovascular diseases. [ABSTRACT FROM AUTHOR]

The high water solubility and ecotoxicity of thiamethoxam (TMX) is a potential hazard to ecosystems and human health. Here, a strain of Bacillus cereus with high TMX degradation activity was isolated from the sediment of the A2O process in the wastewater treatment plant and was able to utilize TMX as its sole carbon source. Under different environmental conditions, the degradation efficiency of TMX by Bacillus cereus -S1 (strain S1) ranged from 41.0% to 68.9% after 216 h. The optimum degradation conditions were DO = 3.5 mg/L and pH 9.0. The addition of an appropriate carbon-to-nitrogen ratio could accelerate the degradation of TMX. A plausible biodegradation pathway has been proposed based on the identified metabolites and their corresponding degradation pathways. TMX can be directly converted into Clothianidin (CLO), TMX-dm-hydroxyl and TMX-Urea by a series of reactions such as demethylation, oxadiazine ring cleavage and C=N substitution by hydroxy group. The main products were TMX-dm-hydroxyl and TMX-Urea, the amount of CLO production is relatively small. This study aims to provide a new approach for efficient degradation of TMX; furthermore, strain S1 is a promising biological source for in situ remediation of TMX contamination. [Display omitted] • Measured and analyzed the TMX concentration and its variation in the A2O process. • Isolation of Bacillus Cereus from the activated sludge of an A2O aerobic tank. • Bacillus cereus -S1 exhibits strong removal effect of TMX in wastewater. • A rational degradation pathway and three degradation products were proposed. [ABSTRACT FROM AUTHOR]

This study assessed the usefulness of Pea Pisum sativum peels S-modified biochar (PPB–S) and Triethylenetetramine (TETA)-modified biochar (PPB-T) as improvers for biogas generation from green algae Ulva lactuca either individually or co-digested with Pea peels (PPs). BET, FTIR, TGA, XRD, XPS, SEM coupled with EDX were used to characterize the PPB-S and PPB-T biochars. EDX, FTIR, and XPS analyses proved the formation of sulphur and nitrogen groups on the surface of PPB-S and PPB-T. The kinetic study confirmed that the modified Gompertz model fits the experimental data satisfactorily, with R 2 ranging between 0.948 and 0.991. The results suggested that adding 50 mg/L of PPB-S significantly increased the biogas production yield compared to all other studied treatments, either individually or in co-digestion with PPs. The extreme biogas production (498 mL/g VS) was formed when 50 mg/L of PPB-S was added to U. lactuca. According to Response surface methodology (RSM), the maximum biogas production among all experiments is 460.91 (ml/g VS), achieved for U. lactuca and PPB-S treatment corresponds to 54 days contact time and 50 mg/L of PPB-S dose. The direct electron transfer mechanism has been investigated in detail, and it is confirmed that conductive PPB-S can support electron transfer and promote methane production, as proved by the XPS and FTIR analyses, which the creation of sulphur groups on the PPB-S surface may propose. In this study, the use of PPB-S in biogas production aligns with the principles of a circular economy. • Synthesis of S-doped biochar (PPB–S) and N-doped biochar (PPB-T) from Pisum sativum. • Investigation of PPB-S and PPB-T as improvers for biogas generation from U. lactuca. • The mechanism of DIET in biogas production processes via AD using PPB-S and PPB-T. • The extreme biogas production (498 mL/g VS) was produced using 50 mg/L of PPB-S. • The direct electron transfer mechanism of PPB-S and PPB-T has been studied in detail. [ABSTRACT FROM AUTHOR]

In this study, the matched case-control study was used. Nineteen cases of severe pain in the early postoperative period among 55 patients were set as the observation group, and 57 cases of simultaneous rotator cuff repair without severe pain were matched in a 1 : 3 ratio as the control group. Patients' general information, disease characteristics, anesthesia and analgesia scheme, and operation information were collected. Frequency statistics, Wilcoxon signed rank sum test, regulatory effect analysis, and Poisson regression analysis were performed on these data. Some findings are included in the analysis. (1) There was a markable difference of 0.01 between the preoperative 48 h maximum pain value and the postoperative 48 h maximum pain value in the observation group. (2) There was a markable difference of 0.01 between the size and shape of the wound tear and the maximum pain value at 48 h after operation in the observation group. (3) When the number of opioid use affected the maximum pain value at 48 h after operation, the regulatory variables (type, quantity, and number of days of postoperative analgesics) were at different levels, and the impact amplitude had markable differences. (4) Age has a markable negative impact on the postoperative hospital stay. (5) The operation duration has a markable positive relationship with the postoperative hospital stay. (6) The analgesic pump had a markable positive impact on the postoperative hospital stay. (7) The location of injury did not affect the postoperative hospital stay. [ABSTRACT FROM AUTHOR]

The overuse of thiamethoxam (THM) has threatened the survival of living organisms and it is necessary to find an environmentally friendly material to remove THM frequently detected in water. Biochar prepared from cow manure modified with ZnCl 2 (Zn-CBC) was used to remove THM. Compared to the unmodified cow manure biochar (CBC), the removal ratio of THM by Zn-CBC was enhanced 35 times. In the mechanistic analysis, SEM and BET showed that Zn-CBC had a good pore structure and its specific surface area (166.502 m2 g−1) increased to 17 times that of CBC, indicating that Zn-CBC had good pore adsorption properties. The adsorption kinetic and isotherm implied that the main mechanism was chemisorption including π-π interaction and H-bonding. Furthermore, the stable graphitized structure of Zn-CBC allowed for efficient adsorption and reusability. In addition, this study constructed an intelligent prediction model using batch experiment data, and the high R2 (0.978) and low RMSE (0.057) implied that the model could accurately and quantitatively predict the adsorption efficiency. This paper provides a novel perspective to simultaneously remove the neonicotinoid insecticides and realize the resource utilization of cow manure. [Display omitted] • ZnCl 2 -modified biochar derived from cow manure was used to adsorb THM. • The specific surface area of Zn-CBC was 17 times that of CBC. • Zn-CBC had a stable adsorption capacity in a wide pH range. • The main adsorption mechanisms are pore filling, π-π conjugation and H bonding. • Quantitative prediction of THM removal ratio by artificial intelligence. [ABSTRACT FROM AUTHOR]

Free nitrous acid (FNA) is a critical metric for stabilization of ANAMMOX but can not be directly and immediately measured by sensors or chemical measurement method, which hinders the effective management and operation for ANAMMOX. This study focuses on FNA prediction using hybrid model based on temporal convolutional network (TCN) combined with attention mechanism (AM) optimized by multiobjective tree-structured parzen estimator (MOTPE), called MOTPE-TCNA. A case study in an ANAMMOX reactor is carried out. Results show that nitrogen removal rate (NRR) is highly correlated with FNA concentration, indicating that it can forecast the operational status by predicting FNA. Then, MOTPE successfully optimizes the hyperparameters of TCN, helping TCN achieve a high prediction accuracy, and AM furtherly improves model accuracy. MOTPE-TCNA obtains the highest prediction accuracy, whose R 2 value gets 0.992, increasing 1.71–11.80% compared to other models. As a deep neural network model, MOTPE-TCNA has more advantages than traditional machine learning methods in FNA prediction, which is beneficial to maintain the stable operation and easy control for ANAMMOX process. [Display omitted] • A hybrid deep learning model is proposed for free nitrous acid prediction. • Automatic optimizer is employed to optimize the neural network. • Nitrogen removal rate is highly correlated with free nitrous acid concentration. • The usage of proposed model decreases difficulty of ANAMMOX management. [ABSTRACT FROM AUTHOR]

[Display omitted] • Synthesis of S-doped biochar (WPB-S) and N-doped biochar (WPB-T) from watermelon peel. • Investigation of WPB-S and WPB-T as an improver for biogas production from C. myrica. • The supreme biogas production (623 mL/g VS) was achieved using 50 mg/L of WPB-S. • Smaller total pore volume, S-functional groups and higher conductivity of WPB-S may play a key role in enhancing DIET. • A new direct interspecies electron transfer mechanism of WPB-S and WPB-T has been proposed. Although it was suggested that adding biochar to an anaerobic reactor may aid in digestion, its function has not been formally established. It has been suggested that anaerobic digestion (AD) is dominated and participated in by direct interspecies electron transfer (DIET). This study assessed the efficiency of S-modified biochar (WPB-S) and N-modified biochar (WPB-T) using Triethylenetetramine (TETA) derived from watermelon peels biomass as an additive for the production of biogas from brown algae cystoceira myrica (C. myrica) either co-digested or individually with WPB-S or WPB-T. BET, FTIR, TGA, XRD, XPS, SEM, and EDX were used to characterize the prepared biochars. FTIR analysis confirmed the establishment of S and N groups on the surface of biochar. The modified Gompertz kinetic model fits the investigational data satisfactorily, with R 2 ranging between 0.907 and 0.990. Adding WPB-S at doses of 50 mg/L to C. myrica considerably enlarged the biogas yield (623 mL/g VS) compared to all other treatments. Finally, according to RSM study, the maximum biogas production (585.53 mL/g VS) was achieved for C. myrica and WPB-S treatment after 48 days of contact time using 50 mg/L WPB-S dose. The mechanism of DIET has been studied in detail, confirming that WPB-S can support electron transfer and conversion of CO to CH 4. DIET mechanism could be explained in new ways depending on the conductivity, XPS, FTIR and BET findings which confirm that S-functional groups, S% in the surface of WPB-S and smaller total pore volume are the main reason for higher biogas production. [ABSTRACT FROM AUTHOR]

[Display omitted] • 1T-MoS 2 /PMS oxidation process was successfully established for IMI degradation. • The nano-scale 1T-MoS 2 exhibited good catalytic activity for PMS oxidation process. • The activation mechanism of PMS by 1T-MoS 2 was revealed. • The degradation pathway of IMI by 1T-MoS 2 /PMS oxidation process was proposed. Imidacloprid (IMI) which has been widely detected in the natural water environment is potentially genotoxic to humans and should be effectively eliminated. Persulfate-based advanced oxidation processes are considered to be reliable means aiming at organic pollutants degradation, while an efficient catalyst is urgently needed for the activation of the reaction. As a two-dimensional material, 1T-MoS 2 is expected to be applied for the activation of persulfates due to its abundant active sites and good electrical conductivity. Therefore, in this study, 1T-MoS 2 was synthesized by a simple and safe two-step solvothermal reaction and proposed as an emerging activator of peroxymonosulfate (PMS) for the degradation of IMI. It was found that 1T-MoS 2 has significantly better catalytic performance on PMS than 2H-MoS 2 and Bulk-MoS 2 , reaching. 76.4 % at pH = 3. The degradation rate of IMI reduced under alkaline conditions due to the inhibition of catalytic processes. Among the different coexisting anions, H C O 3 - had the greatest degree of interference and inhibition to the degradation process, resulting in the lowest IMI degradation rate for only 42.45 %. Quenching experiments and EPR analysis showed that S O 4 - ∙ and OH were the main reactive oxygen species in the 1T-MoS 2 /PMS process. In addition, the IMI degradation pathways analyzed by UPLC-Q-TOF-MS/MS included dehydrogenation, electrophilic addition, heterocyclic ring breakage and intramolecular rearrangement. This study promotes the application of 1T-MoS 2 and is expected to provide a novel persulfate-based advanced oxidation process catalyzed by 1T-MoS 2 for IMI elimination in the aqueous environment. [ABSTRACT FROM AUTHOR]

Wastewater recycling is the measure with enormous potentiality to achieve carbon neutrality in wastewater treatment plants. High-precision online monitoring can improve the stability of wastewater treatment system and help wastewater recycling. A new water quality prediction CSWLSTM-GPR model, which fused the spatial feature of convolutional neural network (CNN), the temporal feature of sharing-weight long short-term memory (SWLSTM) and the probabilistic reliability of Gaussian process regression (GPR), was applied for monitoring papermaking wastewater treatment system with high-precision point prediction and interval prediction. Compared with SWLSTM-GPR and CLSTM-GPR, RMSE of CSWLSTM-GPR reduced by more than 48.9% on effluent chemical oxygen demand (COD eff), MAE reduced by more than 49.3%, R2 increased by more than 25.14%, R increased by more than 7.07%. And for the effluent suspended solids (SS eff), CSWLSTM-GPR had better predictive results than SWLSTM-GPR and CSWLSTM-GPR. Compared with SWLSTM-GPR, RMSE, MAE, R, R2 of CSWLSTM-GPR on effluent suspended solids (SS eff) were improved by 4.8%, 6.1%, 29.01% and 31.15%, respectively. Simulation results showed convincing comprehensive forecasting ability were obtained and the true values frequently stayed within the water quality range obtained by CSWLSTM-GPR model, which provided important insights for online monitoring, wastewater recycling and carbon neutrality of papermaking industry. • The new model was applied for monitoring papermaking wastewater treatment system. • The new model fused the advantage of Deep learning and Gaussian process regression. • The dropout and sharing weight strategy were used to avoid overfitting and training difficulties. • The new model can improve carbon neutrality of papermaking industry. [ABSTRACT FROM AUTHOR]

In this paper, a novel dynamic optimization control based on multi-objective ant lion optimization (DMOALO) and deep learning algorithm is proposed, which could optimize energy consumption (EC) and effluent quality (EQ) simultaneously in the wastewater treatment processes. In order to overcome the difficulty that there is no clear function relationship between the dynamic parameters and the performance indicators, a novel deep belief network (DBN) model for predicting EC and EQ as objective function is proposed. Then, this objective function with constraints is solved by DMOALO method, and the optimal solution would be selected by the intelligent decision system. Finally, Proportional Integral (PI) controllers would be used to track and control these optimal dynamic parameters. DBN-DMOALO-PI optimization control strategy is evaluated in benchmark simulation model 1(BSM1), the simulation results demonstrated this novel optimization control strategy could reduce the EC significantly while meeting the standards of effluent quality parameters. EC is decreased by 3.31% compared with PI optimization control strategy. Therefore, this novel method may reduce the cost of wastewater treatment process effectively, and realize the carbon neutrality in wastewater treatment process. [Display omitted] • A novel dynamic optimization control based on multi-objective ant lion optimization (DMOALO) and deep learning is proposed. • A deep learning model for predicting energy consumption (EC) and effluent quality (EQ) as objective function is proposed. • DMOALO algorithm was proposed to solve objective function overcame the dynamic characteristic difficulties of process data. • The optimization control can optimize EC and EQ simultaneously in the wastewater treatment processes. [ABSTRACT FROM AUTHOR]

Imidacloprid (IMI), as the most-consumed pesticide, has posed a severe threat to the water ecosystem due to its recalcitrance and inefficient elimination in the traditional wastewater treatment. Herein, a heterogeneous electro–Fenton (EF) system coupled with 3D–MoO 2 –porous biochar (PBC) cocatalytic electrodes, abbreviated as 3D–MPE–EF, is initially applied to promote the elimination of IMI in the agrochemical wastewater from pesticide production. The elimination rate of IMI by 3D–MPE–EF system is 18.15 times higher than that by traditional EF system at pH 7.0. The utilization of 3D–MoO 2 –PBC electrodes sufficiently compensates for inherent deficiencies of traditional EF system. The circular utilization of Fe is also addressed by 3D–MoO 2 –PBC cocatalytic electrodes to reduce the consumption of Fe2+ and the deposition of iron mud. Through comparison, MoO 2 is considered the most appropriate cocatalyst in terms of the reutilization of Fe and degradation of IMI. Eight mechanisms are identified in the degradation pathways of IMI by UPLC–Q–TOF–MS. The ecotoxicities of IMI are remarkably attenuated in the 3D–MPE–EF system. This study provides insights into the roles of 3D–MoO 2 –PBC cocatalytic electrodes in the enhanced elimination of IMI in heterogeneous EF system. [Display omitted] • The IMI removal by EF system is greatly enhanced by 3D–MoO 2 –PBC electrodes. • The alkaline elimination of IMI is promoted by 3D–MoO 2 –PBC electrodes. • The reutilization of Fe is addressed by MoO 2 to reduce the deposition of iron mud. • Eight plausible degradation mechanisms of IMI were identified in 3D–MPE–EF. • The ecotoxicity of IMI were progressively attenuated in the 3D–MPE–EF system. [ABSTRACT FROM AUTHOR]