Haotong Guo

Membrane technology demonstrates broad prospects in the field of methane capture and purification due to its high efficiency and low energy consumption characteristics. This paper systematically reviews the research progress in membrane technology for methane separation in recent years, focusing on the design and optimization of membrane material systems, in-depth analysis of mass transfer mechanisms, and practical applications in areas such as biogas upgrading and natural gas decarbonization. Researchers have significantly enhanced membrane separation performance for CO₂/CH₄, CH₄/N₂, and other systems by developing novel material systems such as polymer membranes, inorganic membranes, and mixed matrix membranes (MMMs), combined with strategies like pore structure regulation, interface optimization, and functionalization. Although membrane technology has shown good economic feasibility and application potential in some scenarios, challenges such as long-term material stability, anti-plasticization capability, and large-scale manufacturing remain the main current obstacles. Future research should further focus on the development of novel membrane materials, process integration optimization, and intelligent process control to promote a greater role for membrane technology in the efficient utilization of methane resources and energy structure transformation.

The development of Sustainable Aviation Fuel (SAF) is a crucial pathway to achieving carbon neutrality goals in the aviation industry. In the preparation process of SAF, the performance of catalysts is a core factor determining reaction efficiency, product distribution, and selectivity. Among these, zeolite molecular sieves play an irreplaceable key role in catalytic systems. This paper, through an in-depth survey and systematic analysis of over 70 core literature pieces in related fields, primarily elucidates the structural regulation mechanisms of zeolite catalysts in key reaction steps such as deoxygenation, hydrocracking, and isomerization. Research indicates that differences in pore size, pore channel configuration, and acidity distribution of zeolite molecular sieves with different topological structures (one-dimensional channels such as SAPO-11 and ZSM-22; three-dimensional intersecting channel micropores such as ZSM-5; three-dimensional twelve-membered ring micropores such as Y-type and Beta zeolites) directly affect the selectivity of catalytic reactions and product quality.

The contamination of groundwater in karst coal mining areas presents a unique environmental challenge due to the interplay between fragile hydrogeology and intensive anthropogenic activity. This study investigated the concentrations, sources, and health risks of characteristic contaminants in groundwater from a karst coal mining area, aiming to provide a scientific basis for groundwater pollution control. Thirty-two groundwater samples were analyzed for nine target contaminants. Principal component analysis (PCA) and a health risk assessment model were integrated to identify pollution sources and evaluate health risks. Results showed that the concentrations of Fe, Mn, Fluoride, Pb, and Sulfate exceeded the Class III limits of the “Standard for Groundwater Quality” (GB/T 14848-2017), with maximum exceedance multiples of 3.60, 1.51, 1.08, and 1.22 times the standard limits, respectively. The maximum concentrations of Mn, Fluoride, and Pb exceeded the WHO guidelines by factors of 4.75, 0.67, and 1.00, respectively. Furthermore, the Pb concentration also surpassed the USEPA standard by a factor of 0.33. PCA identified three principal components, which together explained 71.065% of the total variance and were attributed to mining activities (PC1), mixed natural and anthropogenic sources (PC2), and natural geological processes (PC3), respectively. The health risk assessment reveals significant risks: arsenic poses a carcinogenic risk (CR > 10⁻⁴), while both arsenic and Fluoride contribute to non-carcinogenic risks (HI > 1). The cumulative exposure from these contaminants demands immediate attention.

To overcome the limitations of lengthy laboratory testing cycles and insufficient on-site responsiveness, this study developed an online rapid monitoring device for volatile organic compounds (VOCs) in soil–water–air systems based on photoionization detection (PID) technology. The device integrates modular sensor units, incorporates an electromagnetic valve-controlled multi-medium adaptive switching system, and employs an internal heating module to enhance the volatilization efficiency of VOCs in water and soil samples. An integrated system was developed featuring “front-end intelligent data acquisition–network collaborative transmission–cloud-based warning and analysis”. The effects of different temperatures on the monitoring performance were investigated to verify the reliability of the designed system. A polynomial fitting model between concentration and voltage was established, showing a strong correlation (R² > 0.97), demonstrating its applicability for VOC detection in environmental samples. Field application results indicate that the equipment has operated stably for nearly three years in a mining area of Shandong Province and an industrial park in Anhui Province, accumulating over 600,000 valid data points. These results demonstrate excellent measurement consistency, long-term operational stability, and reliable data acquisition under complex outdoor conditions. The research provides a distributed, low-power, real-time monitoring solution for VOC pollution control in mining and industrial environments. It also offers significant demonstration value for standardizing on-site emergency monitoring technologies in multi-media environments and promoting the development of green mining practices.