Environmental Applications Research Articles

Design of ZIF-8-based PVB composite coating on AZ31B Mg alloy surface with superhydrophobic, wear, corrosion protection and durability

Magnesium (Mg) alloys are susceptible to being attacked by corrosive ions in practical application environments, which limits their widespread application as the most promising engineering material. Herein, the superhydrophobic composite coating PVB/STA/ZIF-8@SiO2 (PSZS) has been designed on the surface of Mg alloy by using a drop coating method to improve its corrosion resistance. In this study, we provide an approachable decoration strategy for hydrophobic and hierarchical modification of zeolite imidazolate frameworks (ZIF-8) with stearic acid (STA) and SiO2, and combined with polyvinyl butyral (PVB) to form a composite coating with excellent performance on the substrate surface. Notably, the PSZS composite coating exhibited superhydrophobic and the contact angle is greater than 150° after 300 cm of mechanical friction. The electrochemical testing of the PSZS composite coating indicated that it greatly protected the Mg alloys from corrosion. Moreover, the PSZS coating displayed highly effective corrosion resistance even after being immersed in 3.5 wt% NaCl aqueous solution for 7 days. Overall, the PSZS composite coating with the advantages of corrosion resistance, corrosion durability, superhydrophobic, abrasion resistance and simple preparation process broadens the horizons of Mg alloy corrosion resistance research.

Development of quaternized agar-based materials for the coronavirus inactivation

The COVID-19 pandemic has revealed weaknesses in healthcare systems and underscored the need for advanced antimicrobial materials. This study investigates the quaternization of agar, a seaweed-derived polysaccharide, and the development of electrospun membranes for air filtration in facemasks and biomedical applications. Using the betacoronavirus MHV-3 as a model, quaternized agar and membranes achieved a 90–99.99 % reduction in viral load, without associated cytotoxicity. The quaternization process reduced the viscosity of the solution from 1.19 ± 0.005 to 0.64 ± 0.005 Pa.s and consequently the electrospun fiber diameter ranged from 360 to 185 nm. Membranes synthesized based on polyvinyl alcohol and thermally cross-linked with citric acid exhibited lower water permeability. Avoiding organic solvents in the electrospinning technique ensured eco-friendly production. This approach offers a promising way to develop biocompatible and functional materials for healthcare and environmental applications.

Chemiresistive NO2 sensor: A comparative study of rGO/MCPTPP and rGO/TPTP/MCPTPP composite

This study presents a chemiresistive nitrogen dioxide (NO2) sensor based on reduced graphene oxide (rGO) combined with 5, 10, 15, 20-Tetra-p-tolyl-21 H, 23 H-porphine (TPTP) and 5-(4-Methoxycarbonylphenyl)-10,15,20-triphenyl-21 H,23 H-porphine (MCPTPP). Structural, spectroscopic, morphological, and electrical characterizations of rGO/MCPTPP and rGO/TPTP/MCPTPP were carried out using X-ray diffraction, FTIR, AFM, SEM and current-voltage (I-V) respectively. The flexible ITO-coated electrodes were used to investigate sensing properties. The rGO/TPTP/MCPTPP-based sensor exhibited exceptional selectivity, sensitivity, and reproducibility toward NO2 analytes detection. MCPTPP and TPTP enhanced sensor performance due to their unique interactions with NO2. The rGO/TPTP/MCPTPP sensor exhibited remarkable linearity with a wide dynamic range of 400–100 ppm at (room temperature) RT and remained linear for low concentrations, specifically 35–1 ppm. The sensors also displayed excellent reproducibility over multiple sensing cycles. The superior performance of these sensors makes them promising candidates for various environmental monitoring and industrial applications requiring precise and reliable NO2 detection.

Large eddy simulation of round jets with mild temperature difference

Understanding the behaviour of hot jets is crucial for various engineering and environmental applications. The present work studies the influence of heat transfer on the dynamics of horizontal round hot jets through Large Eddy Simulations (LES). Our focus lies on trajectory development, large-scale coherent structures, and turbulent kinetic budget analysis in the near-field and intermediate-field regions. LES of two horizontal round hot jets with Reynolds numbers (3934 and 5100) and corresponding Froude numbers (32.98 and 17.07) were carried out using buoyantPimpleFoam solver in OpenFOAM, and the simulation on an isothermal jet was also performed as a baseline for comparison. The results reveal that the jet core temperature decays faster in the streamwise direction but more slowly in the radial direction, indicating a wider temperature spread than velocity, and the maximum difference between the temperature and velocity spread is about 0.5D. Moreover, the energy associated with the large-scale coherent structure decreases with increasing initial jet temperature. The energy of the first two modes of snapshot Proper Orthogonal Decomposition (POD) and extended POD dropped by 12% and 14%, respectively. The coherent motion with the greatest correlation between the temperature and velocity fluctuations is identified as four pairs of Q1 and Q3 events, which are Reynolds shear stress dominant events. Furthermore, compared with the isothermal jet, the turbulent kinetic energy budgets of the hot jets indicate that the diffusion and generation terms are both reduced by approximately 50%, suggesting a transfer of more kinetic energy into potential energy rather than turbulence. The finding highlights the potential of heightened temperatures to mitigate instabilities associated with large-scale motions in hot jets. This study fills the gap on a comprehensive analysis of heat transfer effects on jet dynamics, and quantitative insights into the large-scale coherent structures are provided, contributing to a better understanding of hot jet behaviour.

Modulating g-C3N4 photocatalyst for H2 production via water splitting: The impact of Schiff base incorporation

This study explores the potential for improved photocatalytic activity by tailoring the properties of two-dimensional graphitic carbon nitride (g-C3N4) through non-metallic molecule modifications. Herein, melamine monomers were thermally polymerized in the presence of organic materials, namely (E)-2-((phenylimino)methyl) phenol, (E)-4-(benzylideneamino)benzoic acid, and (E)-4-((hydroxybenzylidene)amino)benzoic acid, to produce g-C3N4-PMP, g-C3N4-BAB, and g-C3N4-HBAB nanosheet composites, respectively. The investigated Schiff bases offer a variety of functionalities capable of influencing the electronic structure, surface reactive sites, and porosity. Consequently, all of the modified composites exhibited higher efficiency in photocatalytic hydrogen generation compared to pristine g-C3N4. Notably, the highest catalytic activity was observed for g-C3N4-PMP, with a rate of 1148 µmol•g−1•h−1, which is seven times greater than that of g-C3N4. Optical and photoelectrochemical properties of the photocatalysts were analyzed to develop a workable mechanism for photocatalysis. The utilization of organic Schiff bases in conjunction with melamine for the g-C3N4 synthesis presents a versatile approach to tailor the properties and augment the photocatalytic performance of the resulting nanocomposite material for diverse environmental and energy-related applications.

Copper nanoclusters combined with polymer films as highly sensitive colorimetric probes for visual and proportional fluorescence detection of hexavalent chromium ions in pH and natural waters

In this study, a novel type of fluorescent nanocomposite film was prepared, which could be used for pH value sensing and detecting heavy metal hexavalent chromium ions. Copper nanoclusters doped into polyvinyl alcohol polyethylene glycol fluorescent nanocomposite film (CuNCs/PVA/PEG) has excellent fluorescent properties; it can not only be used as a pH sensor but also can selectively detect heavy metal hexavalent chromium ions. When pH>9, the CuNCs/PVA/PEG composite film will be quenched, which can be used as pH sensing. In addition, the CuNCs/PVA/PEG composite film can detect heavy metal hexavalent chromium ions with a detection line of 0.01 μM. It shows that the probe can detect Cr6+ quickly, sensitively, and selectively and has broad application prospects in environmental analysis applications.

Hydrothermal synthesis of cadmium sulfide decorated reduced graphene oxide photocatalyst for the degradation of photostable naphthol blue black dye

Photocatalysis is being used for the mineralization of recalcitrant organic pollutants in water that cannot be treated with conventional methods. Cadmium sulfide decorated reduced graphene oxide (rGO-CdS) nanocomposite photocatalyst was synthesized by hydrothermal method and evaluated for the removal of a photostable textile azo dye, naphthol blue black (NBB) under ultraviolet light (UV-A, 365 nm). The rGO-CdS combination was opted for due to utilizing the narrow band gap (Eg = ~2.4 eV) of CdS and robust rGO support, capable of attracting organic pollutants to surface, bear, and protect CdS from photocorrosion. The formation of rGO-CdS was proved from the findings of physiochemical characterization UV–visible-, X-ray diffraction photoelectron, Raman, energy dispersive X-ray-spectroscopic, and scanning, transmission electron, and atomic force microscopic studies. The spherical CdS was decorated on the random shaped rGO sheets. Eg of CdS and rGO-CdS were 2.42 and 2.39 eV, respectively. After 2 h of light exposure, 2 g/L of rGO-CdS mineralized 95 % of NBB (2 × 10−4 mol/L). After 5 cycles, 80 % of photocatalytic efficiency was retained. In gas chromatography-mass spectrometry studies, 8 fragments of NBB were found after 1 h and confirmed that the degradation was mediated by photocatalytic dilapidation. The optimum pH for NBB degradation was 9. The rGO-CdS was found to be a potentially stable and reusable photocatalyst for environmental applications.

Performance Study of F-P Pressure Sensor Based on Three-Wavelength Demodulation: High-Temperature, High-Pressure, and High-Dynamic Measurements.

F-P (Fabry-Perot) pressure sensors have a wide range of potential applications in high-temperature, high-pressure, and high-dynamic environments. However, existing demodulation methods commonly rely on spectrometers, which limits their application to high-frequency pressure signal acquisition. To solve this problem, this study developed a self-compensated, three-wavelength demodulation system composite with an F-P pressure sensor and a thermocouple to construct a comprehensive sensing system. The system produces accurate pressure measurements in high-temperature, high-pressure, and high-dynamic environments. In static testing at room temperature, the sensing system shows excellent linearity, and the pressure sensitivity is 158.48 nm/MPa. In high-temperature testing, the sensing system maintains high linearity in the range of 100 °C to 700 °C, with a maximum pressure-indication error of about 0.13 MPa (0~5 MPa). In dynamic testing, the sensor exhibits good response characteristics at 1000 Hz and 5000 Hz sinusoidal pressure frequencies, with a signal-to-noise ratio (SNR) greater than 37 dB and 45 dB, respectively. These results indicate that the sensing system proposed in this study has significant competitive advantages in the field of high-temperature, high-speed, and high-precision pressure measurements and provides an important experimental basis and theoretical support for technological progress in related fields.

Insights on cold atmospheric plasma treatment of ethidium bromide and its binding to protein BSA

Ethidium bromide (Et-Br) is a dye prevalently used in microbiology laboratories to visualize its binding to DNA under UV light. After usage, the Et-Br thrown from the lab as waste can reach waterbodies and it is toxic not only to aquatic life but also to humankind. Cold atmospheric plasma (CAP) is a novel technology used to degrade various hazardous chemicals as it produces reactive species (ROS/ RNS) which work synergistically to degrade these hazardous chemicals. Molecular docking studies show that Et-Br has strong binding affinity with BSA. Here, to test the efficacy of CAP treatment, the binding interaction of Et-Br with protein Bovine Serum Albumin (BSA) before and after CAP treatment has been studied. Herein, various biophysical techniques were used to study interaction of Et-Br with BSA before and after CAP treatment. Our investigation provides insight into the applicability of CAP to degrade hazardous chemicals such as Et-Br with potential environmental applications.

Synergistic adsorption and UV degradation of perfluorooctanoic acid by amine-functionalized A-center sphalerite

Perfluorinated alkylated substances (PFAS), as a category of persistent organic pollutants, have garnered extensive concern due to their resilience against environmental degradation. Herein, we developed an amine-functionalized sphalerite (ZnS) with adjustable surface amine functional groups and Zn defects (ZnS-X%[N]) by in situ coprecipitation and simple hydrothermal method in the presence of cetyltrimethylammonium bromide (CTAB). This material demonstrated efficient PFAS adsorption and subsequent photo-induced degradation under UV irradiation. The characterization results by TEM, BET, FTIR, XPS and EPR revealed that CTAB primarily influences ZnS by modulating surface amine functionalities, zinc defect density, and enhancing its photoreductive capacity. Adsorption and kinetic degradation experiments further showed that a medium CTAB concentration in ZnS-40%[N] achieves highest PFAS adsorption capacity (Cmax: 0.201 mol kg-1), and the corresponding decomposition rate was the fastest (kde: 1.53; kdf: 1.19). This efficacy is attributed to the ZnS-40%[N]'s ideal adsorptive sites and surface shallow defects. Moreover, theoretical simulation also supports the above experimental inference. Overall, ZnS-X%[N] exhibits a synergistic effect on PFAS adsorption and degradation, showcasing its potential for environmental adaptability and practical application.

Green nanoarchitectonics Ce-Co₃O₄/BiVO₄ (p-n) heterojunction nanocomposite: Dual functionality for photodegradation of Congo red and supercapacitor applications

In this work, we synthesised a new Ce-doped Co₃O₄/BiVO₄ heterojunction photocatalyst by a green synthesis strategy utilizing Magnifera indica leaf extract for Co₃O₄ and a precipitation method for pure BiVO₄. X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), UV–Visible diffuse reflectance spectroscopy (UV-DRS), Brunauer-Emmett-Teller (BET) surface area analysis, field emission scanning electron microscopy (FESEM), high-resolution transmission electron microscopy (HRTEM), X-ray photoelectron spectroscopy (XPS), and cyclic voltammetry (CV) were used to investigate the material's structural, optical The Ce-Co₃O₄/BiVO₄ heterojunction decreased the band gap energy to 1.92 eV, resulting in increased visible light absorption. The photocatalytic activity of the developed heterojunction was evaluated by degrading the anionic dye Congo red (CR) under different circumstances such as pH, catalyst dose, dye concentration, and irradiation period. At pH 4, 98 % degradation was obtained using a dye concentration of 50 ppm, a catalyst dose of 40 mg, and 50 min of sun light exposure. High-resolution mass spectrometry (HR-MS) validated the effective degradation of CR and offered information on the potential degradation process. Kinetic investigations revealed that the photodegradation of CR followed a pseudo-first-order kinetic model. This study demonstrates the effectiveness of Ce-Co₃O₄/BiVO₄ heterojunctions in photocatalytic applications, namely for the removal of dye contaminants from wastewater using visible light. Furthermore, the heterojunction showed a substantial rise in specific capacitance, reaching 1353 F/g, 5.4 times that of pure Co3O4. The Nyquist plot displayed a smaller arc radius, indicating improved electrochemical characteristics and a possible application as a semiconductor. These results highlight the Ce-Co₃O₄/BiVO₄ heterojunction as a promising photocatalyst with outstanding dye degrading capabilities and increased electrochemical performance, appropriate for diverse environmental and energy storage applications.

Component synergistic effect of Co9S8/FeBOx composite system for efficient oxygen evolution reaction

The synergistic interaction between the components of the composites is the key to modulate the intrinsic activity and stability of oxygen evolution reaction (OER). In this study, an efficient and stable Co9S8/FeBOx composite system was constructed by combining Co9S8 with FeBOx as an OER catalyst. The synergistic effect of the components effectively promotes the interfacial charge transfer between different components, which is conducive to improving OER performance. The Co9S8/FeBOx-2 catalyst exhibits exceptional OER activity and stability, achieving a current density of 10 mA cm−2 in 1 M KOH electrolyte with an overpotential of only 214 mV. It can be stably operated for over 150 h at a current density of 200 mA cm−2. This research opens up a new avenue for designing high-performance electrocatalysts with unconventional properties for energy and environmental applications.

Inhibitory effect of calcium carbonate precipitation induced by Triton X-100 and microorganisms on coal dust

During underground tunnel construction, dust endangers the safety and health of workers. Microbially induced calcium carbonate precipitation (MICP) represents a novel green dust suppression technology for addressing coal dust pollution, capable of effectively mitigating coal dust pollution. Nevertheless, the concentration of urease will exert a certain influence on the performance of MICP to some extent. Therefore, how to improve the efficiency of urease activity on coal dust suppression is a popular research topic. In this study, based on MICP technology, the properties of microbial dust suppression materials were investigated through contact angle, surface tension, and unconfined compressive strength (UCS) tests in combination with molecular dynamics simulations, scanning electron microscopy, and X-ray diffraction using Bacillus megaterium and the nonionic surfactant Triton X-100. The results demonstrate that when the concentration of the bacterial solution is 20 % and the concentrations of urea and calcium chloride are 0.7 mol·L–1, the addition of 1 % Triton X-100 can increase the yield of calcium carbonate to 21.83 %, enhance the structural density of the gel, and increase the UCS by 15.63 %. The calcite and quartz formed on the coal dust surface improved its wettability with a contact angle of only 22°, showing an excellent dust-suppression effect. These research findings serve as a reference for enhancing the MICP dust suppression efficacy and have significant implications for the development and application of microbial dust-suppression agents. This dust suppression method has potential applications in quarries and underground environments.

An Experimental Study on the Thermomechanical Coupling Effects of Carbon-Fiber-Reinforced Polyetheretherketone under Dynamic Impact.

Carbon-fiber-reinforced polyetheretherketone (CF/PEEK) composites are widely utilized in aerospace, medical devices, and automotive industries, renowned for their superior mechanical properties and high-temperature resistance. Despite these advantages, the thermomechanical coupling behavior of CF/PEEK under dynamic loading conditions is not well understood. This study aims to explore the thermomechanical coupling effects of CF/PEEK at elevated strain rates, employing Hopkinson bar impact tests and scanning electron microscopy (SEM) for detailed characterization. Our findings indicate that an increase in temperature led to significant reductions in the yield strength, peak stress, and specific energy absorption of CF/PEEK, while fracture strain had no significant effect. For instance, at 200 °C, the yield strength, peak stress, and specific energy absorption decreased by 39%, 37%, and 38%, respectively, compared to their values at 20 °C. Furthermore, as the strain rate increased, the yield strength, peak stress, specific energy absorption, and fracture strain all exhibited strain-hardening effects. However, as the strain rate further increased, above 4000 s-1, the enhancing effect of the strain rate on the yield strength and peak stress gradually diminished. The interaction of the temperature and strain rate significantly affected the mechanical performance of CF/PEEK under high-speed impact conditions. While the strain rate generally enhanced these properties, the strain-hardening effect on the yield strength weakened as the temperature increased, and both the temperature and strain rate contributed to the increase in specific energy absorption. Microdamage mechanism analysis revealed that interface debonding and sliding between the fibers and the matrix were more pronounced under static compression than under dynamic compression, thereby diminishing the efficiency of stress transfer. Additionally, higher temperatures caused the PEEK matrix to soften and exhibit increased viscoelastic behavior, which in turn affected the material's toughness and the mechanisms of stress transfer. These insights hold substantial engineering significance, particularly for the optimization of CF/PEEK composite design and applications in extreme environments.

An effective procedure used metal–organic framework for determination of cadmium ions in real tap water and human blood plasma samples

A newly developed 2H5MA-MOF sensor by covalently linking NH2-MIL-53(Al) with 2′-Hydroxy-5′-methylacetophenon, designed for highly sensitive and selective detection of Cd2+ ions using fluorometric methods. Detailed structural and morphological analyses confirmed the sensor’s unique properties. It demonstrated an impressive linear detection range from 0 to 2 ppm, with an exceptionally low detection limit of 5.77 × 10−2 ppm and a quantification limit of 1.75 × 10−1 ppm, indicating its high sensitivity (R2 = 0.9996). The sensor also responded quickly, detecting Cd2+ within just 30 s at pH 4. We successfully tested it on real samples of tap water and human blood plasma, achieving recovery rates between 96 % and 104 %. The accuracy of these findings was further validated by comparison with ICP-OES. Overall, the 2H5MA-MOF sensor shows great potential for fast, ultra-sensitive, and reliable detection of Cd2+ ions, making it a promising tool for environmental and biomedical applications.

Antibacterial evaluation of polyvinyl alcohol/polyvinyl pyrrolidone/chitosan nanocomposite embedded curcumin@zinc oxide

This study focuses on the fabrication and characterization of PVA/PVP/Cs (Polyvinyl alcohol/Polyvinyl Pyrrolidone/Chitosan) composite membranes embedded with ZnO (zinc oxide) nanoparticles and curcumin as a natural polyphenol with well-known antimicrobial properties. A series of nanocomposite membranes were successfully developed via a solution casting method with varying ZnO loading (2–20 wt%) and fixed 5 wt% curcumin content and physiochemically characterized. Structural and compositional analyses using XRD, FESEM, EDX, and TEM characterizations confirmed the successful incorporation and homogeneous distribution of crystalline ZnO nanoparticles within the amorphous PVA/PVP/Cs polymer matrix. The estimated size of the synthesized ZnO nanoparticles was measured to be around 18–22 nm. TGA thermograms revealed the nanoparticles catalyzed minor reductions in thermal stability while enhancing the residual char at elevated temperatures, a function of their increasing loading fractions. These compositionally tuned PVA/PVP/Cs-ZnO-curcumin nanocomposites exhibited potent antimicrobial efficacy against selected Gram-positive and Gram-negative bacterial strains. The PVA/PVP/Cs-ZnO-curcumin nanocomposites demonstrated tunable antimicrobial activity against bacterial strains, which pave the foundation of eco-friendly, sustainable materials for addressing antimicrobial challenges in biomedical and environmental disinfection applications.

Regulating the surface area increase of zero-valent iron (ZVI) during ball milling: A study of the mechanical mechanism and low-carbon milling

This study investigates the effect of milling parameters on the specific surface area (SSA) increase of zero-valent iron (ZVI) powder, which is crucial for its environmental applications. Combining experimental and orthogonal design methodologies, the research explores how the parameters modulate the SSA. The operational factors are analyzed from the perspectives of bead momentum, kinetic energy, and energy efficiency. A regression model is proposed for the precise fabrication of ZVI with predetermined SSA. Furthermore, the study identifies optimized parameters that minimize energy consumption and carbon emissions. The results suggest that the optimal milling time is 10 min, with larger beads (2.0 mm), higher quality beads (0.75 kg), and higher shaft rotational speed (2000 rpm) significantly enhancing SSA. Discrete Element Method (DEM) simulations reveal micro-mechanical interactions, supporting the parameter selection scheme for maximizing SSA. The findings contribute to optimizing the milling process of the ductile ZVI powder for environmental clean-up.

Designing a novel 3D structured PVP-assisted Bi-TDC coordination polymers catalyst with tunable bandgap structure to decompose dyes

The exploration of an efficient porous hybrid materials is significant due to their unique properties and good development prospects in catalytic applications. Herein, the PVP-assisted 3D Bi-TDC (2,5-thiophene dicarboxylate acid) is designed by solvothermal reaction to capture solar and mechanical energy for the degradation of rhodamine B (RhB, 5 mg/L) and methylene blue (MB, 5 mg/L). The RhB and MB degradation of the PVP-assisted Bi-TDC reached 99.6 % and 90.2 % under the ultrasonic vibrations and photocatalysis, which displays a higher catalytic activity compared to the bare Bi-TDC. The obviously enhanced catalytic activity can be ascribed to the integrated of ultrasonic vibrations and photocatalysis, the efficient separation of electron-hole pairs and its uniform and regular structure. This present work provided a new strategy to develop a controllable structures and excellent catalytic material for the environmental and energy application.

Electrochemical investigations of chitosan/ZrO2-Bi2O3 composite for advanced energy and environmental applications

Energy needs are on the rise, and the need for effective corrosion resistance measures are also vital to meet the requirements prevailing in society. A multifunctional Chitosan/ZrO2-Bi2O3 composite is synthesized, keeping electrochemical analysis of energy and environmental applications in mind. Various physicochemical methods confirm the impact of integrating ZrO2-Bi2O3 into chitosan, resulting in improved efficacy across applications. The electrocatalytic supercapacitance, hydrogen evolution reaction, and corrosion inhibition studies are carried out to evaluate the efficiency of the synthesized composite. The composite shows a specific capacitance of 636.5 F/g, ensuring the effective utility for supercapacitance applications. The lower overpotential of 135.2 mV is shown by the composite in the electrocatalytic hydrogen evolution reaction. The synthesized composite also shows 96.2 % efficacy in corrosion inhibition studies. The studies conducted demonstrate the increased effectiveness of chitosan when combined with bimetal oxide. The chitosan composite is therefore a competent catalyst for energy and environmental applications.

A Method for the Spatial Interpolation of EEG Signals Based on the Bidirectional Long Short-Term Memory Network.

The precision of electroencephalograms (EEGs) significantly impacts the performance of brain-computer interfaces (BCI). Currently, the majority of research into BCI technology gives priority to lightweight design and a reduced electrode count to make it more suitable for application in wearable environments. This paper introduces a deep learning-based time series bidirectional (BiLSTM) network that is designed to capture the inherent characteristics of EEG channels obtained from neighboring electrodes. It aims to predict the EEG data time series and facilitate the conversion process from low-density EEG signals to high-density EEG signals. BiLSTM pays more attention to the dependencies in time series data rather than mathematical maps, and the root mean square error can be effectively restricted to below 0.4μV, which is less than half the error in traditional methods. After expanding the BCI Competition III 3a dataset from 18 channels to 60 channels, we conducted classification experiments on four types of motor imagery tasks. Compared to the original low-density EEG signals (18 channels), the classification accuracy was around 82%, an increase of about 20%. When juxtaposed with real high-density signals, the increment in the error rate remained below 5%. The expansion of the EEG channels showed a substantial and notable improvement compared with the original low-density signals.