Donghua University
  • Shanghai, China
Recent publications
Per- and polyfluoroalkyl substances (PFAS) pose serious human health and environmental risks due to their persistence and toxicity. Among the available PFAS remediation options, the electrochemical approach is promising with better control. In this review, recent advances in the decontamination of PFAS from water using several state-of-the-art electrochemical strategies, including electro-oxidation, electro-adsorption, and electro-coagulation, were systematically reviewed. We aimed to elucidate their design principles, underlying working mechanisms, and the effects of operation factors (e.g., solution pH, applied voltage, and reactor configuration). The recent developments of innovative electrochemical systems and novel electrode materials were highlighted. In addition, the development of coupled processes that could overcome the shortcomings of low efficiency and high energy consumption of conventional electrochemical systems was also emphasized. This review identified several major knowledge gaps and challenges in the scalability and adaptability of efficient electrochemical systems for PFAS remediation. Materials science and system design developments are forging a path toward sustainable treatment of PFAS-contaminated water through electrochemical technologies.
An increased level of reactive oxygen species (ROS) plays a major role in endothelial dysfunction and vascular smooth muscle cell (VSMC) proliferation during in-stent thrombosis and restenosis after coronary artery stenting. Herein, we report an electrospun core-shell nanofiber coloaded with 4-hydroxy-2,2,6,6-tetramethylpiperidine 1-oxyl (TEMPOL) and rapamycin (RAPA) that correspondingly serves as an ROS scavenger and VSMC inhibitor. This system has the potential to improve the biocompatibility of current drug-eluting stent (DES) coatings with the long-term and continuous release of TEMPOL and rapamycin. Moreover, the RAPA/TEMPOL-loaded membrane selectively inhibited the proliferation of VSMCs while sparing endothelial cells (ECs). This membrane demonstrated superior ROS-scavenging, anti-inflammatory and antithrombogenic effects in ECs. In addition, the membrane could maintain the contractile phenotype and mitigate platelet-derived growth factor BB (PDGF-BB)-induced proliferation of VSMCs. In vivo results further revealed that the RAPA/TEMPOL-loaded covered stents promoted rapid restoration of vascular endothelium compared with DES and persistently impeded inflammation and neointimal hyperplasia in porcine models.
Friction stir welding (FSW) technology is a solid-phase joining process with a non-melting pool in the connection area and insensitivity to gravity, so that it is suitable for construction of the structures in space. However, there is still a large gap between the process of FSW in space and on ground. Conventional on-ground FSW process needs large welding forces and power. Besides, the machines are also very bulky. By comparison, the FSW device in space bears the features of light weight, flexibility, portability, and quickly being in-site. To realize the application of space manufacture, the miniaturization and lowering of energy consumption of FSW equipment adapted to space environment are the key issues which need to be solved. Based on the principle of non-tool-tilt friction stir welding (NTTFSW), the realization of lightweight FSW equipment has been put forward, and the mechanical mechanism and the structures of portable FSW device have been designed. The key components of the force-amplifying bionic mechanism—the force-amplifying linkage rod (FALR) modeled on masticating jaw bones and the frame modeled on upper jaws or heads—have been designed and optimized with abundant strength and stiffness. The novel FSW device, with mass weight of 41.75 kg and less than 2.7Kw power, is newly patented, which effectively meets the limitations of design goals and ensures the friction stir additive manufacturing system.
Humans and machines recognize or understand various 3D shapes through projections from different views. Descriptive Geometry (DG) constructs dimensional one-to-one map with unambiguity. The presentation and computing advantages of DG are presented from the perspective of modern computing, including the methods of dimension reduction with projection and dimension upgrade with geometric construction. The concept of graphic computational thinking (GCT) is then proposed, with an integration of graphic thinking and computational thinking. The characters and the hierarchical structure of GCT in DG are described, along with the potential educational values.
The rapid growth of the internet of things has induced the integration of many microelectronic devices in physical objects, yet the generated heat decreases the performance and stability of microelectronic devices. Therefore, new materials such as gradient metal foams (GMFs) have been recently designed to improve heat transfer. In this paper, an experimental visualization setup was built to investigate the effect of the GMFs gradient layers number and the arrangement order on the pool boiling heat transfer performance. Results show that increasing the number of gradient layers enhances the heat transfer when the copper foam pore density is low. By contrast, at high pore density of 50 PPI, increasing layers hardly changes heat transfer. The bubbles dynamic behavior on the metal foams surface of with different gradient structures is also different. When bubbles detach upward, the temperature of the metal foam is lower, and the temperature gradient is higher. When bubbles detach sideward, the bubble escape is much shorter, and the bubble detachment frequency and size increase. Combined with the theoretical research, the metal foam gas-liquid flow heat transfer model were constructed. The advantages and disadvantages of GMFs with different structures and the applicable scenarios are analyzed.
Membrane distillation (MD) is attractive for water recovery from surfactant-stabilized oil-in-water emulsion due to its unique characteristics. To address the membrane fouling and wetting issues, a novel hydrophilic-omniphobic-hydrophilic sandwich-like membrane (PFZP) was firstly developed. Top PDA skin layer induced the hydration shell facing feed, which endowed membrane with high energy barriers (0.12 kT) to limit free hexadecane deposition. Omniphobic substrate (FZP) effectively avoided the deposition of free sodium dodecyl sulfate (SDS) and hexadecane-SDS aggregate. Bottom PDA skin layer was beneficial to maintain transmembrane temperature difference and driving force. Besides, both PDA layers (∼4.1 μm) partly intruded into FZP substrate to shorten water vapor transmembrane transfer path. Compared with pristine membrane, PFZP membrane displayed greatly improved anti-fouling, anti-wetting and water recovery performance with stable water flux (18.0 LMH) and high salt rejection (99.99%). Obtained findings further improved the understanding of robust MD membrane design, its anti-fouling, mass and heat transfer mechanism.
The activation of peroxymonosulfate (PMS) by redox-active quinones-like compounds has been proposed as a viable approach for water decontamination, which is, however, limited by the secondary pollution associated with ex situ addition of organic activators. Herein, we demonstrated a novel in situ produced quinone intermediates-mediated PMS activation technique for organic decontamination. The parent pollutant (e.g., aniline) was first transformed to quinones-like intermediates by electrooxidation, followed by nucleophilic addition with PMS to initiate the production of singlet oxygen (¹O2), which significantly improved the pollutant degradation and mineralization kinetics when compared to conventional electrooxidation technologies. Advanced characterizations and experimental evidence showed that the proposed method could significantly reduce electrode fouling, which is a common limitation of electrooxidation processes. The system could function efficiently across a pH range of 3–11. Experiments with genuine aniline-contaminated dyeing effluent confirmed the excellent system efficacy.
Despite the dominant role of images on social platforms, the research on evaluating visual content is limited in marketing literature. We innovatively proposed using image richness to measure the visual contents by adopting a deep learning algorithm. We collected images embedded in posts by influencers from Sina Weibo and investigated how image richness affects customer engagement. Results show that image richness is positively related with emotional engagement and behavioral engagement, while negatively connected with cognitive engagement. Further, we find that the effect of image richness on customer engagement is more pronounced for experience goods and posters with greater social influence. However, the relationship is weakened by posts' text length, especially for emotional and cognitive engagement. Our paper enriches the literature on the effectiveness of visual content and advances the understanding of customer engagement on social media platforms. These results also shed light on implementing social marketing strategies with images.
Rechargeable zinc-air batteries (ZABs) are currently receiving extensive attention because of their extremely high theoretical specific energy density, low manufacturing costs, and environmental friendliness. Exploring bifunctional catalysts with high activity and stability to overcome sluggish kinetics of oxygen reduction reaction and oxygen evolution reaction is critical for the development of rechargeable ZABs. Atomically dispersed metal-nitrogen-carbon (M-N-C) catalysts possessing prominent advantages of high metal atom utilization and electrocatalytic activity are promising candidates to promote oxygen electrocatalysis. In this work, general principles for designing atomically dispersed M-N-C are reviewed. Then, strategies aiming at enhancing the bifunctional catalytic activity and stability are presented. Finally, the challenges and perspectives of M-N-C bifunctional oxygen catalysts for ZABs are outlined. It is expected that this review will provide insights into the targeted optimization of atomically dispersed M-N-C catalysts in rechargeable ZABs.
Bioenzymes that catalyze reactions within living systems show a great promise for cancer therapy, particularly when they are integrated with nanoparticles to improve their accumulation into tumor sites. Nanomedicines can deliver toxic bioenzymes into cancer cells to directly cause their death for cancer treatment. By modulating the tumor microenvironment, such as pH, glucose concentration, hypoxia, redox levels and heat shock protein expression, bioenzyme-based nanomedicines play crucial roles in improving the therapeutic efficacy of treatments. Moreover, bioenzyme-mediated degradation of the major components in tumor extracellular matrix greatly increases the penetration and retention of nanoparticles in deep tumors and infiltration of immune cells into tumor tissues, thus enhancing the efficacies of chemotherapy, phototherapy and immunotherapy. In this review, we summarize the recent progresses of bioenzyme-based nanomedicines for enhanced cancer therapy. The design and working mechanisms of the bioenzyme-based nanomedicines to achieve enhanced chemotherapy, photothermal therapy, photodynamic therapy, chemodynamic therapy, radiotherapy and immunotherapy are introduced in detail. At the end of this review, a conclusion and current challenges and perspectives in this field are given.
One of the most fascinating areas in the field of smart biopolymers is biomolecule sensing. Accordingly, multifunctional biomimetic, biocompatible, and stimuli-responsive materials based on hydrogels have attracted much interest. Within this framework, the design of nanostructured materials that do not require any external energy source is beneficial for developing a platform for sensing glucose in body fluids. In this article, we report the realization and application of an innovative platform consisting of two outer layers of a nanocomposite plasmonic hydrogel plus one inner layer of electrospun mat fabricated by electrospinning, where the outer layers exploit photoinitiated free radical polymerization, obtaining a compact and stable device. Inspired by the exceptional features of chameleon skin, plasmonic silver nanocubes are embedded into a poly(N-isopropylacrylamide)-based hydrogel network to obtain enhanced thermoresponsive and antibacterial properties. The introduction of an electrospun mat creates a compatible environment for the homogeneous hydrogel coating while imparting excellent mechanical and structural properties to the final system. Chemical, morphological, and optical characterizations were performed to investigate the structure of the layers and the multifunctional platform. The synergetic effect of the nanostructured system’s photothermal responsivity and antibacterial properties was evaluated. The sensing features associated with the optical properties of silver nanocubes revealed that the proposed multifunctional system is a promising candidate for glucose-sensing applications.
Oxygen vacancies ( V o ) in electrocatalysts are closely correlated with the hydrogen evolution reaction (HER) activity. The role of vacancy defects and the effect of their concentration, however, yet remains unclear. Herein, Bi 2 O 3 , an unfavorable electrocatalyst for the HER due to a less than ideal hydrogen adsorption Gibbs free energy (Δ G H* ), is utilized as a perfect model to explore the function of V o on HER performance. Through a facile plasma irradiation strategy, Bi 2 O 3 nanosheets with different V o concentrations are fabricated to evaluate the influence of defects on the HER process. Unexpectedly, while the generated oxygen vacancies contribute to the enhanced HER performance, higher V o concentrations beyond a saturation value result in a significant drop in HER activity. By tunning the V o concentration in the Bi 2 O 3 nanosheets via adjusting the treatment time, the Bi 2 O 3 catalyst with an optimized oxygen vacancy concentration and detectable charge carrier concentration of 1.52 × 10 ²⁴ cm ⁻³ demonstrates enhanced HER performance with an overpotential of 174.2 mV to reach 10 mA cm ⁻² , a Tafel slope of 80 mV dec ⁻¹ , and an exchange current density of 316 mA cm ⁻² in an alkaline solution, which approaches the top-tier activity among Bi-based HER electrocatalysts. Density-functional theory calculations confirm the preferred adsorption of H* onto Bi 2 O 3 as a function of oxygen chemical potential (∆ μ O ) and oxygen partial potential ( P O2 ) and reveal that high V o concentrations result in excessive stability of adsorbed hydrogen and hence the inferior HER activity. This study reveals the oxygen vacancy concentration-HER catalytic activity relationship and provides insights into activating catalytically inert materials into highly efficient electrocatalysts.
In human-robot collaborative (HRC) manufacturing systems, how the collaborative robots engage in the collaborative tasks and complete the corresponding work in a timely manner according to the actual state has been a critical factor that hinders the efficiency of HRC. Inappropriate collaborative behaviors will result in a poor perceptual experience for human operators (e.g., robots starting action too early or too late). To address this issue, a fusion-based spiking neural networks (FSNNs) approach for collaboration request prediction is proposed, aiming to find the right collaboration timing for robots in HRC assembly system and to minimize human aversion without affecting human operation behaviors. By encoding human behavior, product state and robot pose into spiking signals that can be processed by FSNNs, the spatio-temporal coupling relationship between those three aspects can be comprehensively analyzed, and to solve the appropriate timing of robot participation in collaboration. Finally, demonstrative experiments are carried out on the HRC assembly of generator end caps in the lab environment. Compared with the baseline methods, the decision accuracy of the proposed one is improved by nearly 30%, which further proves its effectiveness.
Photoactivated nanocarriers exhibit significant potential for anticancer therapy, but complex design strategies, unsustainable substrates, and short wavelengths limit their practical application. Here, we designed a new lignin-derived photoactivated nanomaterial that exploits the sensitivity of the β-O-4 bond of lignin to singlet oxygen. This sustainable product was loaded with mitochondria-targeting chlorin e6 and black phosphorus quantum dots (BPQDs) to produce [email protected] NPs, which were used for mitochondria-targeted fluorescence/photoacoustic-guided photothermal and photodynamic therapy. When irradiated at 808 nm, the BPQDs in [email protected] NPs exhibited good photothermal conversion, which allowed photoacoustic imaging and inhibited tumor growth. When irradiated at 660 nm, the [email protected] NPs generated fluorescence and reactive oxygen species, which allowed photoluminescence imaging and further inhibited tumor growth. Cleavage of the β-O-4 bond of lignin by photo-triggered reactive oxygen species degraded the NPs and released the BPQDs, facilitating rapid excretion of the therapeutic nanomaterials. Our rationally designed [email protected] NPs exhibited good therapeutic efficacy, both in vitro and in vivo.
Digital twin technology has been gradually explored and applied in the machining process. A digital twin machining system creates high-fidelity virtual entities of physical entities to observe, analyze, and control the machining process in real-time. However, the current digital twin machining systems lack sufficient adaptability because they are usually customized for specific scenes. Usually, if a decision model is directly reused in a different working condition, the accuracy of the decision model is often poor and difficult to work effectively. Meanwhile, the decision model remodeled from scratch will cause a waste of resources and low modeling efficiency. This paper proposes an adaptive reconstruction method to adjust the decision model in the digital twin machining system to enhance adaptability. The proposed method can ensure the rapid development of the digital twin decision model under new working conditions. Finally, taking the drilling process as an example, this paper establishes the experimental drilling platform and verifies the feasibility of this method in the burr prediction task.
Thermoelectric conversion technology provides a new method for directly collecting and converting the heat released by the human body to electrical energy, which has attracted extensive attention in the field of smart wearable electronics. However, current thermoelectric materials for wearable thermoelectric devices often face problems such as air impermeability, large volume, poor integration, and limited stretchability. Herein, an advanced fabrication approach combining coagulation-bath electrospinning and self-assembly strategies is proposed to efficiently and continuously fabricate CNT/PEDOT:PSS thermoelectric nanofiber yarns with high stretchability (∼350%) and seamability. During the spinning process, the nonsolvent induced phase separation and self-assembly effect result in a large amount of CNT/PEDOT:PSS loaded on each individual nanofiber. Since the thermoelectric material is loaded inside the yarn rather than simply coated on the surface, it exhibits excellent mechanical stability. In addition, based on the thermoelectric effect and seamability of the yarns, they can be integrated into gloves and masks for cold/heat source identification and human respiration monitoring in self-powered mode. Moreover, the self-powered strain sensor composed of the yarn shows corresponding thermovoltage changes for different strains, which can be used to optimize basketball players’ shooting percentage. These unique features make the thermoelectric nanofiber yarn show broad prospects in smart wearable fields such as wearable generators, breathing monitoring, and exercise optimization.
Li-metal batteries are promising candidates for next generation rechargeable batteries. However, the hazards caused by the growth of Li-dendrite and enormous volume fluctuations during cycling hinder its practical applications. Here, to solve these problems, a flexible mixed ion-electron conducting fabric scaffold is constructed by uniformly incorporating Li0.33La0.56TiO3 nanoparticles into a 3D carbon nanofiber skeleton. The mixed conductor fabric cannot only homogenize the distribution of electric filed and alleviate volume changes, but also can accelerate the migration and distribution of Li⁺, thus achieving uniform Li plating/stripping behavior by balanced ion/electron transport. Consequently, the obtained stable and dendrite-free Li-metal anode has a notable cycling stability and rate performance. This work provides a promising direction for the design of practical composite Li-metal anodes.
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2,998 members
Chengran Du
  • College of Science
Zaifei Ma
  • Center for Advanced Low-dimension Materials
Yanbiao Liu
  • College of Environmental Science and Engineering
Yaozu Liao
  • State Key Laboratory for Modification of Chemical Fibers and Polymer Materials
Feifeng Zheng
  • Glorious Sun School of Business and Management
Shanghai, China