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Verified CAS / Academic Author4 Decoded Studies

Prof. TANG Hao

College of Physics, Qingdao University, China

Research Publications & English Decoded Briefs

Showing 4 publications
Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025101901

Formation and Emission of Hexachlorobutadiene during Chlorinated Chemical Production and Its Impact on the Surrounding Environment

Hexachlorobutadiene (HCBD) is a persistent organic pollutant (POP) regulated under the Stockholm Convention. Chlorinated chemical production processes are major sources of unintentional HCBD emissions, posing potential threats to ecosystems and human health. This study systematically reviews the formation, emission, and environmental impact of HCBD from such processes. HCBD is widely generated as a by-product during chlorination stages of producing carbon tetrachloride, dichloroacetylene, tri-/tetrachloroethylene, and chlorobenzene, via free-radical mechanisms. It is released through waste gas, wastewater, and solid waste. In the environment, HCBD exhibits multimedia distribution, undergoing long-range atmospheric transport and adsorbing onto soil and sediments, thereby becoming secondary pollution sources. HCBD shows significant bioaccumulation and food-chain magnification; it is toxic to aquatic organisms and causes hepatic and renal damage with potential carcinogenicity in mammals. Effective pollution control requires combined process improvements and end-of-pipe treatments, supplemented by stringent emission standards and life-cycle management. Future research should focus on developing precise emission inventories, elucidating multi-media transport and transformation mechanisms, and assessing composite ecotoxicological effects, thereby providing scientific support for implementing international conventions and formulating effective prevention strategies.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3792-6

Multifunctional Permeable Electrodes for Synchronous Temperature-Electrophysiological Signals Monitoring and Intelligent Arrhythmia Diagnosis

The rapid expansion of home-based digital health monitoring necessitates electrodes capable of simultaneous, accurate acquisition of electrophysiological signals and body temperature. Conventional single-function electrodes, including metal block, gel, and Ag/AgCl types, suffer from limitations such as restricted movement, skin irritation, signal degradation over time, and poor permeability for prolonged use. To overcome these challenges, we developed a low-cost, multifunctional flexible electrode enabling concurrent body temperature and electrophysiological signal monitoring without cross-interference. Body temperature is assessed via visual colorimetric evaluation and precisely measured using a custom smartphone application. The electrode features high air permeability, ultra-thin architecture, superior flexibility, antibacterial properties, and strong skin adhesion, while maintaining low interfacial impedance for stable, long-term acquisition of high-fidelity signals such as electrocardiography (ECG) and surface electromyography (sEMG). Integrated with a Raspberry Pi platform and a hybrid convolutional neural network-long short-term memory (CNN-LSTM) algorithm, the system achieves intelligent arrhythmia detection with 99.30% accuracy. This novel electrode provides a powerful tool for multifunctional sensing of temperature and physiological electrical signals, with significant potential for wearable physiological tracking applications.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202607014

Effects of Nitrogen-Rich Wastewater Reuse on Aerobic Fermentation Performance of Substrates with Different Carbon-Nitrogen Ratios

Reducing ammonia emissions and recovering lost nitrogen are critical for enhancing nitrogen content in compost. Biological trickling filters, as end-of-pipe odor control, retain ammonia nitrogen in effluent, offering a reuse pathway. However, the impact of nitrogen-rich wastewater reuse within the optimal C/N range (20.0:1–30.0:1) remains unclear. This study composted biogas residue, sawdust, food waste, and mushroom residue, setting initial C/N as the control variable. Four groups were established: low C/N with nitrogen-rich wastewater (LRN), low C/N with deionized water (LRW), high C/N with nitrogen-rich wastewater (HRN), and high C/N with deionized water (HRW). Simulated wastewater (2000 mg/L NH4+-N and 2000 mg/L NO2−-N) was recycled. Results showed no inhibition of final maturity; pH (8.17–8.48) and seed germination index (GI) (90.85%–122.96%) met organic fertilizer standards. HRN reduced cumulative total greenhouse gases, N2O, and NH3 by 20.32%–30.35%, 0.67%–53.38%, and 52.14%–62.15% compared to LRN and LRW. Although HRN emissions were slightly higher than HRW (total GHGs +4.56%, NH3 +4.99%), HRN final nitrogen content (4691.27 mg/kg) exceeded HRW (4514.96 mg/kg), attributed to sufficient carbon enhancing microbial assimilation. Conversely, low C/N with nitrogen-rich wastewater increased NH3 and N2O emissions (LRN vs LRW: +26.43% and +112.99%) due to carbon limitation. Thus, high initial C/N with nitrogen-rich wastewater reuse effectively reduces gaseous nitrogen loss and greenhouse gas emissions while maintaining compost maturity.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3965-5

Bioinspired Soft Robots Based on Liquid Crystal Elastomers: From Multimodal Actuation to Functional Integration

Liquid crystal elastomers (LCEs) have emerged as a promising material platform for soft robotics, effectively integrating programmable molecular orientation with the inherent flexibility of elastomers. This unique combination enables significant, reversible deformations responding to external stimuli, including heat, light, electric, and magnetic fields. Due to these characteristics, LCEs serve as an ideal material system for bridging biological principles with engineered soft robotic applications, enabling the development of adaptive and multifunctional systems with enhanced biomimetic capabilities. However, the mechanisms of bioinspired motion and the effective integration of biomimetic functions in LCE-based robots remain insufficiently explored. This review systematically examines recent advances in LCE-based biomimetic soft robots, focusing on multimodal actuation strategies, including contraction, crawling, rolling, jumping, swimming, and plant-inspired motions. It highlights integrated functional enhancements achieved via innovative material compositions, structural designs, and advanced manufacturing techniques. These developments have enabled novel robotic functionalities, including programmable actuation, self-healing and recycling, color morphing and camouflage, and tunable bioinspired surface characteristics.