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HH
Verified CAS / Academic Author16 Decoded Studies

Prof. HUANG Huijie

University of Science and Technology of China

Co-Affiliations:Huaqiao UniversityEast China University of Science and Technology, National Engineering Research Center for Industrial Wastewater Detoxication and Resource Recovery, Shanghai 200237, ChinaKey Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, Xi'an Jiaotong UniversityState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, 210023, ChinaXi'an Jiaotong UniversityCollege of Environment Science and Engineering, Tongji UniversityXi'an Jiaotong University, School of Energy and Power EngineeringPeking University

Research Publications & English Decoded Briefs

Showing 16 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4500-8

Dual-Site Adsorption over Phosphorus-Doped Copper Oxide for Efficient CO2 Electroreduction to Ethylene

Electroreduction of CO2 to ethylene offers a promising route for renewable electricity storage, yet achieving high ethylene selectivity at industrial current densities remains challenging due to the large energy barrier for C–C coupling. Here, we report a “MOF-assisted in situ doping” strategy to introduce the oxophilic nonmetal phosphorus (P) into the copper oxide (CuO) lattice, constructing a localized Cu–P dual-site adsorption configuration for the key *OCCHO intermediate. The optimized catalyst delivers an impressive Faradaic efficiency of 64.6% for ethylene with a partial current density of 646 mA cm-2. Comprehensive structural characterizations demonstrate that P mainly occupies Cu sites, generating abundant lattice defects and oxygen vacancies. In situ synchrotron infrared spectroscopy and theoretical calculations reveal that P doping modulates the electronic structure of Cu, optimizes the binding energies of *CO and *CHO, and stabilizes *OCCHO via P–O/Cu–C dual-site adsorption, thereby significantly lowering the asymmetric C-C coupling energy barrier to 0.74 eV. This work highlights a dual-site microenvironment regulation strategy for CO2-to-ethylene electroreduction.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4304-5

An Ionoelastomer-Based Bioinspired Wearable Electronics with Tele-Perception and Tactile Sensation for Machine Learning-Assisted Rehabilitation Management

Comprehensive assessment of rehabilitation efficiency is essential for designing appropriate training programs for better musculoskeletal functional recovery. Existing contact-receptor-dependent rehabilitation assessment systems mostly focus on assessing the restoration of muscle function by evaluating grip strength or joint flexion angle; however, parameters reflecting neuromuscular synergistic function are always overlooked. Herein, we develop an ionoelastomer-based soft artificial electroreceptor (SAER) that integrates tele-perception and tactile sensation to track the rehabilitation process, collecting signals related to approaching speed and grip strength sequentially. The SAER uses polyurethane ionoelastomer incorporated with quasi-solid conductive salt as the electric field receptor, and is integrated on a rehabilitation-training ball after assembly to establish an untethered detection device; this enables the remote capture of hand approaching parameter within a 9 cm range, followed by the quantification of grip strength when contacting and grasping. Furthermore, a data-driven assessment system is established by integrating machine learning, which accurately classifies rehabilitation efficiency into six levels; it supports for rehabilitation evaluation and training programs adjustment. Overall, the SAER-based rehabilitation management system establishes a paradigm that synergistically evaluating parameters corresponding to neuromuscular functional restoration and holds strong potential for home-based active rehabilitation for minimizing dependence on frequent clinical supervision.

New Carbon Materials2026DOI: 10.1016/S1872-5805(25)61012-2

Increasing the Strength of Carbon Nanotube Fibers and Their Use as a Polishing Medium

We report a method for increasing the mechanical strength of carbon nanotube (CNT) fibers while enabling the uniform adhesion of cerium oxide (CeO2) abrasive particles to them using polyethyleneimine (PEI). Results show that 5% of PEI increases the tensile strength of CNT fibers by approximately 175%. CeO2 particles were uniformly deposited on the reinforced CNT fibers by electrophoretic deposition. A flexible polishing tool was fabricated by weaving the CeO2-CNT fibers into a non-woven fabric substrate. When used to polish potassium dihydrogen phosphate crystals, the tool reduced the surface roughness from 200 to 7.6 nm within 10 min. This approach has potential use for the development of new precision processing tools.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3695-8

Cycling Decay Mechanism and Accelerated Aging Model of Sulfur-Based Lithium-Ion Batteries

Sulfur-based lithium-ion batteries, particularly those employing sulfurized poly(acrylonitrile) (SPAN) cathodes and graphite (Gr) anodes, offer high theoretical capacity and low cost but suffer from temperature-dependent capacity decay. This study systematically investigates the electrochemical dynamics and capacity decay mechanism of SPAN||Gr pouch cells cycled at 25–55 °C. Multiscale analyses reveal that capacity fade arises from active lithium loss and increased resistance, both accelerated by higher temperatures. Active lithium loss is primarily attributed to dead lithium formation and thickening of the solid electrolyte interphase (SEI) and cathode electrolyte interphase (CEI), while resistance increase is predominantly due to SEI/CEI thickening. As temperature rises, active lithium loss becomes the dominant decay factor. Leveraging the consistent decay mechanism across temperatures, an accelerated aging model based on the Arrhenius equation is developed: y = 0.9x + a. This model accurately predicts cycling parameters at specific temperatures and reduces testing time by 50% when extrapolating from 55 °C to 25 °C. These insights provide critical guidance for developing long-life sulfur-based batteries for practical energy storage applications.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202508004

Thermoelectric Generator-Driven Electrodeposition for Efficient Treatment of Low-Concentration Copper-Containing Wastewater

Industrial processes generate substantial low-grade waste heat and cold, which can be harnessed via thermoelectric generators (TEGs) based on the Seebeck effect. However, the low-voltage output of TEGs poses application challenges. This study investigates a TEG-driven electrodeposition system for efficient treatment of low-concentration copper-containing wastewater from electroplating, integrated circuit, and energy industries. The TEG system, comprising two series-connected semiconductor modules, achieved a maximum power of 0.36 W at a temperature difference (ΔT) of 130 °C. Optimal operating parameters for the coupled system were determined: ΔT = 90 °C, counter-current flow (two-side inlet), flow rate of 20 mL·min⁻¹, initial Cu²⁺ concentration of 500 mg·L⁻¹, and electrode gap of 0.7 cm. Under these conditions, after 60 min of electrodeposition, copper removal efficiency reached 99.42%, current efficiency was 67.93%, and the energy conversion efficiency of the TEG-electrodeposition system was 36.96%. The system also treated real copper-containing wastewater, achieving 95.83% removal within 100 min. Characterization via SEM, XRD, and XPS revealed that the electrodeposited product consisted of metallic copper and cuprous oxide, with metallic copper accounting for approximately 60%. This work provides a promising approach for utilizing industrial waste heat and cold to achieve low-energy, high-efficiency treatment of heavy metal wastewater.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202507043

Thermal Steel Ball-Enhanced Rotary Drum Drying of Sludge: Drying Characteristics, Moisture Diffusion Behavior, and Mechanisms

Municipal sludge with high moisture content and strong viscosity tends to form a dense crust during conventional rotary drum drying, reducing heat and mass transfer efficiency and prolonging drying time. This study proposes a thermal steel ball-enhanced rotary drum drying method that introduces high heat capacity, high thermal conductivity steel balls to achieve synergistic contact heat conduction and mechanical disturbance. An evaluation system incorporating dimensionless moisture ratio (MR), drying rate (DR), characteristic drying time (tdry), effective moisture diffusivity (Deff), and volumetric evaporation intensity (U) was established. Results show that compared with conventional drying, steel ball-enhanced drying increased maximum drying rate (DRmax) by 22.59%–41.19%, U by 38.06%–93.43%, and shortened tdry by 27.56%–48.30%, with more pronounced advantages under high load conditions. Deff was significantly higher throughout the process, with maximum increase up to 48.30%, indicating that ball rolling and collision effectively disrupt the crust and promote moisture migration. Mechanistic analysis reveals that the performance enhancement arises from the dual action of thermal-mechanical coupling and mechanical disturbance, which enhances local heat flux via contact conduction and dynamically renews the drying interface, shortening diffusion paths. This study elucidates the heat and mass transfer mechanisms of thermal steel ball-enhanced sludge drying, providing theoretical support and technical reference for efficient sludge volume reduction and dryer design optimization.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025091801

Micro-nano Robots for Wastewater Treatment: Current Application Status and Prospects

Conventional wastewater treatment technologies face persistent challenges including incomplete removal of emerging contaminants, secondary pollution, and low energy efficiency. Micro-nano robots (MNRs), leveraging their self-propulsion, precise navigation, and high specific surface area, offer a transformative approach for targeted pollutant sequestration and degradation. This review systematically examines the operational mechanisms and propulsion strategies of MNRs in wastewater remediation. Through a data-driven bibliometric analysis, we identify chemical propulsion and photocatalytic degradation as the predominant research foci. We critically evaluate the performance of various MNR designs—including chemically driven, magnetically driven, and light-driven systems—for the removal of organic pollutants, heavy metals, microplastics, radioactive nuclides, and pathogenic microorganisms. Representative studies demonstrate removal efficiencies exceeding 90% for specific contaminants, such as uranium preconcentration via metal-organic framework-based microrobots and microplastic removal using self-driven magnetorobots. Despite these advances, MNRs face intrinsic trade-offs between propulsion efficiency and environmental compatibility, as well as challenges in coordinating actuation and control in complex aqueous matrices. We propose future directions emphasizing sustainable energy-harvesting systems and intelligent, reconfigurable multifunctional designs. This review provides a systematic framework and forward-looking perspective to accelerate the translation of MNR technology from laboratory innovation to practical wastewater treatment applications.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025032601

Pollution Characteristics and Risk Assessment of Chlorate and Perchlorate in Tea from Anhui Region, China

This study investigated the pollution characteristics of chlorate and perchlorate in tea from Anhui region and assessed the health risks associated with tea consumption. A total of 132 tea samples, including green tea (n=89), black tea (n=30), yellow tea (n=10), and white tea (n=3), were collected from major tea-producing areas. Chlorate and perchlorate levels were quantified using isotope dilution liquid chromatography-tandem mass spectrometry. Chlorate was detected in 15.9% of samples, with concentrations ranging from not detected to 0.040 mg·kg−1, and no samples exceeded the regulatory limit. Perchlorate was detected in 100% of samples, with concentrations ranging from 0.011 to 1.611 mg·kg−1, and 2.3% of samples exceeded the limit. Pollution characteristics analysis revealed that perchlorate levels were significantly correlated with tea type and geographical origin, with environmental contamination in tea-growing areas being the primary determinant. A significant positive correlation was also observed between chlorate and perchlorate levels. Health risk assessments were conducted for the general tea-consuming population, sub-groups loyal to specific tea types (green and black tea), and sub-groups preferring local tea from high-pollution regions (Lu'an City and central Anhui). Assessments were based on mean and 95th percentile (P95) exposure levels. For chlorate, the maximum hazard quotient (HQ) was 0.003, far below 1, indicating negligible risk. For perchlorate, all HQ values were below 1, regardless of tea type or region, based on both mean and P95 levels, using the Chinese provisional tolerable daily intake (tTDI). However, perchlorate contamination in central Anhui, particularly Lu'an City, warrants continued monitoring due to elevated levels and occasional exceedances.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202607004

Combustion and Emission Characteristics of Multi-Source Biomass/Coal Gasification Fine Slag Composite Pelletized Fuels at High Heating Rates

Pelletizing technology is widely applied in biomass and coal fuel processing, offering advantages in transport, storage, and energy density. Coal gasification fine slag (CGFS), a carbon-rich coal-based solid waste, holds potential as a fuel. This study prepared centimeter-scale composite pellets by blending CGFS with various biomass types under 6 MPa at room temperature for 2 minutes. Combustion and emission characteristics were investigated using a self-developed flat-flame macro-thermogravimetric reactor simulating high heating rate conditions. Results showed that biomass type significantly influenced combustion due to chemical composition differences. Introducing biomass altered fuel particle composition, enhancing combustion rates of single-component fuels by 3–5 times during volatile combustion. Co-combustion reduced NOx and CO emissions by over 50% compared to pure CGFS. Higher biomass ratios accelerated volatile release and shortened burnout time but increased NO emissions due to higher volatile nitrogen content. Conversely, CO emissions decreased due to improved char combustion conditions. These findings provide critical experimental support for optimizing clean and efficient solid fuel production from CGFS and biomass.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202607009

Current Status of Food Waste Anaerobic Digestion and Challenges in Carbon Source Production in China

Resource utilization of food waste is a key measure for implementing waste classification and constructing zero-waste cities in China. However, the technical route based on anaerobic digestion currently faces developmental bottlenecks. In this study, engineering-scale facilities located in Northeast, North, Northwest, and Southeast China were selected, and material flow analysis was employed to comprehensively assess the current status of anaerobic digestion of food waste. The results indicated that, during the pretreatment stage, both leachate and organic slurry from all surveyed regions exhibited high COD/TN ratios, and the leachate contained high concentrations of lipids. Following three-phase (oil-water-solid) separation, the oil recovery rate could reach over 98%. Anaerobic digestion of each ton of food waste from the four regions generated approximately 70 to 80 Nm³ of biogas, while simultaneously producing liquid digestate accounting for 69% to 80% of the total mass and solid digestate accounting for 2.7% to 3.6%. However, the annual continuous production of digestate was not aligned with the seasonal demand for land use, thereby restricting the pathway for resource utilization. Converting food waste into an external carbon source can significantly enhance its resource utilization efficiency, with the economic benefits increasing by more than 203% compared to the methanogenesis pathway. The selection of the carbon source production technology route should be comprehensively determined by taking into account factors such as the specific nitrogen removal requirements of the target wastewater treatment process, the quality requirements for the carbon source products, and the substitution rate of commercial carbon sources.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202608009

Numerical Simulation and Application of Natural Draft Direct Air-Cooling Tower for Large Coal-Fired Power Units

To investigate the flow and heat transfer characteristics of natural draft direct air-cooling towers (NDC) for large coal-fired power generating units, a three-dimensional CFD numerical model covering major plant buildings, air-cooled radiators, and ambient wind fields was established based on the NDC systems of a 2×660 MW unit of a power plant. The influences of meteorological factors, including ambient wind speed, ambient temperature, and ambient wind direction, as well as regulation measures such as rolling shutters, louvers, and bypass windows on the heat dissipation performance of NDC towers were systematically analyzed. The results demonstrate that ambient wind speed acts as the dominant factor governing the performance of the NDC system. As wind speed rose, the uneven distribution of air intake volume and heat dissipation among each cooling delta increased remarkably, which elevated the unit back pressure, and the upstream tower suffered more severe impacts than the downstream one. Ambient temperature exerted a slight effect on circumferential flow distribution, yet substantially changed the overall back pressure of the system. In terms of regulation strategies, closing rolling shutters in the windward zone and reducing the opening of partial louvers can improve air flow redistribution to a certain extent, but will reduce the total air flow rate and total heat dissipation of the entire tower. By contrast, bottom bypass windows can effectively optimize the air intake on the leeward side and boost heat dissipation under high-wind operating conditions, whereas top bypass windows deliver only limited improvement effects. This research can provide fundamental data and technical references for the optimal design, operational regulation, and energy-saving retrofitting of large NDC units.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4036-4

Tuning interfacial water supply and electron transfer enables industrial-scale alkaline hydrogen evolution

Alkaline water electrolysis is a pivotal technology for large-scale green hydrogen production, yet its efficiency is constrained by sluggish hydrogen evolution reaction (HER) kinetics at industrial current densities. Here, we propose a synergistic dual-doping strategy to lower kinetic barriers for both Volmer and Heyrovsky steps. A robust amorphous NiCoV nanosheet electrode was synthesized via scalable one-step electrodeposition. In situ spectroscopic and kinetic characterizations reveal that hydrophilic V species optimize interfacial water by disrupting the hydrogen bond network, ensuring rapid supply of free water at the inner Helmholtz plane. Co dopants modulate electronic structure to facilitate electron transfer and optimize intermediate adsorption energetics. The NiCoV electrode requires an ultralow overpotential of 253 mV at -400 mA cm−2, surpassing most Pt-based catalysts, and maintains stability for over 200 h. Industrial validation in a scaled-up electrolyzer demonstrates a cell voltage of 1.89 V at 400 mA cm−2, achieving energy savings of 0.12 kWh m−3 H2 compared to commercial benchmarks. This translates to annual electricity savings of 1.33 × 10^6 kWh for a medium-scale demonstration project, highlighting immense potential for sustainable industrial applications.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3960-0

Integrated ionic-electronic LATP@C nanofiber networks enable 100 mg cm−2 dry-processed Ni-rich cathodes for lithium-metal batteries

Dry electrode processing offers a solvent-free and scalable pathway toward high-energy lithium metal batteries (LMBs), yet its practical implementation is constrained by tortuous ion/electron transport and weak mechanical cohesion in ultra-thick electrodes. Here, we construct a carbon-coated NASICON-type Li1.3Al0.3Ti1.7(PO4)3 nanofiber network (LATP@C) that serves as an integrated ionic-electronic scaffold within dry-processed Ni-rich cathodes. The one-dimensional LATP@C fibers form a continuous 3D percolation architecture that couples fast Li+ conduction from the NASICON core with efficient electron transport through the conformal carbon shell. Their rough, oxygen-functionalized surfaces further enhance electrolyte affinity, while the mechanically robust fibrous network bridges NCM811 secondary particles, suppressing crack initiation and preserving structural integrity during cycling. Benefiting from these collective effects, the LATP@C cathode with 100 mg cm−2 loading delivers 203 mA h g−1 at 0.1 C and maintains 96.7% capacity over 35 cycles at 0.2 C. Pouch cells incorporating 60 mg cm−2 LATP@C cathodes retain 80.5% capacity after 50 cycles, highlighting the practical viability of this design.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4029-4

An Insight into Conductive Metal-Organic Frameworks for Chemical Sensing

Chemical sensing technology is pivotal in modern industry and daily life, with sensor performance critically reliant on nanomaterials. While sensors based on traditional nanomaterials, such as inorganic semiconductors and organic conductive polymers, have achieved commercialization, they face persistent challenges. As an emerging subclass, conductive metal-organic frameworks (c-MOFs) not only inherit the core advantages of traditional MOFs—high specific surface area, porosity, and tunable composition/structure—but also offer adjustable electrical conductivity, rendering them ideal for sensing applications. This review systematically elucidates the construction and properties of c-MOFs across microscopic crystalline and macroscopic micro-nano structural scales. Special emphasis is placed on the structural design and regulation of c-MOFs for analytical sensing, and the intrinsic structure-performance relationship is clarified to achieve higher sensitivity, selectivity, response speed, and long-term stability, as well as other performance metrics. Finally, we comprehensively summarize the typical applications of c-MOFs-based sensors, covering environmental and safety monitoring, photoelectric detection, and health monitoring and diagnosis. At the same time, the key challenges existing in this field, such as the controllable preparation of high-quality single-crystal materials, the theoretical analysis of intrinsic electrically conductive mechanisms, and the balance between macroscopic material stability and the processing performance of devices, were evaluated. The future research directions should focus on developing new ligands and metal combinations to optimize the band structure, deepening the exploration of the mechanisms of emerging physical effects such as piezoelectricity, and promoting the integration and application of materials in practical scenarios such as flexible electronics and wearable devices.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4208-8

Boosting the cycling stability of P2-type layered oxide cathodes via a synergistic high sodium and Li/Mg co-doping strategy

Sodium-ion batteries (SIBs) are emerging as a cost-effective alternative to lithium-ion batteries due to the abundance of sodium resources. Among cathode materials, P2-type layered oxides (Na_xTMO_2) offer high ionic conductivity and rate capability but suffer from low initial sodium content and Na+/vacancy ordering, leading to structural degradation and capacity fading. This study proposes a synergistic strategy combining high sodium content with Li/Mg co-doping to enhance the cycling stability of P2-type cathodes. The high sodium content increases the sodium reservoir, reducing the depth of desodiation for a given capacity, while Li/Mg co-doping mitigates Na+/vacancy ordering and stabilizes the crystal structure. The optimized cathode exhibits significantly improved cycling performance, retaining 82.3% of its initial capacity after 500 cycles at 1C, compared to 65.4% for the undoped counterpart. Furthermore, the co-doped material demonstrates enhanced rate capability, delivering 112 mAh/g at 5C, and suppressed phase transitions, as evidenced by in-situ X-ray diffraction. This work provides a rational design pathway for high-performance P2-type cathodes, addressing key bottlenecks in SIB commercialization.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4196-x

A Critical Artifact in Aqueous Zinc-Ion Batteries: Charging under Aerial Oxidation Distorts Discharged-Cathode Characterization

Aqueous zinc-ion batteries (AZIBs) are promising for safe, low-cost energy storage, but accurate cathode characterization is essential for understanding their electrochemical behavior. This study identifies a critical artifact: routine air-drying of deeply discharged cathodes triggers spontaneous aerial oxidation, which distorts post-mortem analysis. Using NH4V4O10 (NVO) as a model cathode, we show that ex situ X-ray photoelectron spectroscopy (XPS) of discharged electrodes reveals only V4+/V5+ signals, with no detectable V3+, implying a theoretical capacity of only 245.5 mAh g−1, yet experimentally measured capacity reaches ~334.5 mAh g−1 at 0.2 A g−1. This discrepancy arises because air exposure during sample preparation oxidizes the reduced vanadium states, leading to a self-charging effect that recovers ~83% of capacity. Electrochemical re-oxidation (EO-NVO) is superior to aerial oxidation (AO-NVO), producing a stable, long-range ordered bulk structure with efficient Zn2+ transport channels, whereas aerial oxidation induces only superficial changes and structural disorder. These findings resolve a key analytical inconsistency and reveal a novel capacity-contribution pathway, with direct implications for accurate material assessment and advanced battery design.