Shanghai University of Engineering Science (SUES; Chinese: 上海工程技术大学; pinyin: Shànghǎi Gōngchéng Jìshù Dàxué) is a public university located in Shanghai, China. It was originally established in 1978 under the name of Shanghai Jiao Tong University Electrical & Mechanical Branch (Chinese: 上海交通大学机电分校) and merged with a branch of the East China Textile Institute of Science and Technology (Chinese: 华东纺织工学院) in 1985. The most distinguished subjects of SUES include materials science, mechanical engineering, management studies, art design, etc.
Engineering advanced S-scheme heterojunction photocatalysts represents a prospective strategy for efficient antibiotic-contaminated wastewater decontamination. However, the practical realization of such systems is hindered by difficulties in achieving seamless interfacial integration and precise control over charge-carrier dynamics. Herein, we proposed a shell-core 0D/2D Mn0.5 Cd0.5 S/C3 N5 S-scheme heterojunction with compact interfacial contact, synthesized by in-situ solvothermal growth of Mn0.5 Cd0.5 S nanodots on C3 N5 nanosheets. This optimized Mn0.5 Cd0.5 S/C3 N5 heterojunction performs extraordinary catalytic performance and enables approximately 1.3- and 3.2-fold tetracycline abatement rate greater than that for Mn0.5 Cd0.5 S and C3 N5 , respectively, which arises from the synergy of efficient spatial photo-carrier separation and well preserved great redox capacity of the heterojunction enabled by the S-scheme mechanism. Mechanistic validation was achieved through systematic characterizations and computational analyses. This study advances the rational design of shell-core S-scheme heterojunctions for photocatalytic antibiotic wastewater treatment. (c) 2025 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
Solar-driven catalytic decontamination of emerging organic pollutants is of significance for achieving environmental sustainability. The cardinal challenges in this technology are swift charge carrier reunion, weak redox capability and poor sunlight utilization capacity of photocatalysts. Here, an innovative Ag/Ag2 O/C3 N5 S-scheme heterojunction photocatalyst with plasmonic effect was developed for antibiotic decontamination by coating Ag/Ag2 O nanodots on the surface of C3 N5 nanosheets. The localized surface plasmon resonance (LSPR) effect from Ag nanodots augments sunlight response and exciton production. Meanwhile the "nanodots-on-nanosheets" 0D/0D/2D heterostructure with a plasmonic S-scheme interface significantly boosts separation and utilization of highly energetic photo-carriers. As a result, the optimized Ag/Ag2 O/C3 N5 demonstrates extraordinary stability and achieves a photocatalytic levofloxacin removal rate constant of 0.0278 min-1 , which is about 3.9-, 11.6-, and 1.9-fold greater than that of Ag2 O, C3 N5 , and Ag2 O/C3 N5, respectively. The photocatalytic decontamination mechanism and degradation route of levofloxacin over Ag/Ag2 O/C3 N5 are elucidated using LC-MS analysis and DFT calculation. This research highlights the potential of LSPR modulated S-scheme heterojunctions as robust photocatalysts for wastewater decontamination, paving the way for innovative solutions to environmental pollution challenges. (c) 2025 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
Tobacco waste represents a unique biomass resource due to its high content of nicotine and alkaloids, distinct from conventional agricultural residues.These components, along with its abundant cellulose, hemicellulose, and lignin, impart special characteristics to its pyrolysis and gasification products. This review systematically examines the composition of tobacco waste and its influence on the distribution of products-biochar, tar, and syngas-during Pyrolysis and gasification.conversion. Key findings highlight the potential for obtaining high-value chemicals such as phenols and nicotine-derived compounds from tar, producing syngas (H2/CO/CH4) for energy applications, and applying biochar for soil remediation. Future research should focus on (1) advanced extraction of nicotine, (2) heavy metal removal, (3) tar upgrading, and (4) process scale-up to enhance the economic and environmental feasibility of tobacco waste valorization.
Memristor chaotic systems have attracted extensive attention for their high complexity and pseudo-randomness, offering promising potential in secure communication, e.g., image encryption. Based on the Sprott-C system, a new 4D memristor chaotic system is constructed by introducing a generalized hyperbolic tangent voltage-controlled memristor model. The system’s dynamic behaviors are analyzed via stability, phase portraits, Lyapunov exponent, and bifurcation diagram. Further analyses involving variations of the system parameters and the initial conditions reveal diverse coexisting attractors and rich dynamic transitions. Hardware validation is conducted through PCB implementation, confirming the physical realizability of the system. Complexity measures, including the Kolmogorov-Sinai entropy, SE and C0, demonstrate superior randomness and complexity compared with the other Sprott-based chaotic systems. It indicates that the proposed chaotic system is suitable for image encryption. Moreover, a color image encryption algorithm is designed based on the proposed chaotic system. The encryption keys are generated through a hash function and a convolutional neural network (CNN), which enhances key sensitivity while maintaining high encryption efficiency. Comprehensive security analyses verify the robustness and high security of the proposed scheme.
Private digital images are exposed to risks of tampering and leakage as the Internet technology becomes increasingly pervasive. Given the urgent need for secure and authentic image transmission, a color image encryption and authentication algorithm is designed based on computational ghost imaging (CGI) and quaternion multi-parameter discrete fractional angular transform (QMPDFrAT), where the entire encryption procedure is controlled by two different chaotic systems. Initially, the CGI-encrypted authentication image is fused with the color plaintext image for pixel shuffling. By modulating the quaternion signal derived from the confused fusion image with the QMPDFrAT, the plaintext and the authentication images are encoded as a whole, which effectively enhances the efficiency and the security of the image encryption algorithm. Subsequently, a dual-round diffusion and permutation mechanism is executed on the reorganized images, which further upgrades the anti-attack capability of the proposed algorithm. Finally, the feasibility and the security of our presented color image encryption and authentication algorithm are verified through simulation results and performance analysis. It is shown that average PSNR value is 45.7243 dB, key space reaches 2418, correlation coefficient values are close to 0, and average information entropy value is 7.9984 bits.
