A novel malachite green molecularly imprinted membrane (MG-MIM) with specific selectivity for malachite green (MG) and leucomalachite green (LMG) was prepared using a hydrophobic glass fiber membrane as the polymer substrate, methyl violet as a template analog, 4-vinyl benzoic acid as the functional monomer, and ethyleneglycol dimethacrylate as the crosslinking agent. MG-MIM and non-imprinted membrane (NIM) were structurally characterized using scanning electron microscopy, surface area analyzer, Fourier-transform infrared spectrometer and synchronous thermal analyzer. The results showed that MG-MIM possessed a fluffier surface, porous and looser structure, and had good thermal stability. Adsorption properties of MG-MIM were investigated under optimal conditions, and adsorption equilibrium was reached in 20 min. The saturated adsorption capacities for MG and LMG were 24.25 ng·cm⁻² and 13.40 ng·cm⁻², and the maximum imprinting factors were 2.41 and 3.20, respectively. Issues such as “template leakage” and “embedding” were resolved. The specific recognition ability for the targets was good and the adsorption capacity was stable even after five cycles. The proposed method was successfully applied for the detection of MG and LMG in real samples, and it showed good linear correlation in the range of 0 to 10.0 μg·L⁻¹ (R² = 0.9991 and 0.9982), and high detection sensitivity (detection limits of MG and LMG of 0.005 μg/kg and 0.02 μg·kg⁻¹ in shrimp, and 0.005 μg/kg and 0.02 μg/kg in fish sample). The recoveries and relative standard deviations were in the range of 76.31–93.26% and 0.73–3.72%, respectively. The proposed method provides a simple, efficient and promising alternative for monitoring MG and LMG in aquatic products.

The marine waters in semi-enclosed bays are highly dynamic and strongly influenced by different levels of anthropogenic activity. This study explored the bacterial community composition and diversity in two typical urbanized coastal bay areas (Shenzhen Bay (S) and Dapeng Bay (D)) in Shenzhen, China, based on Illumina NovaSeq sequencing. Seawater analysis showed that coastal area S experienced a higher level of pollution, with higher nutrient concentrations observed. Alpha diversity analysis showed a higher bacterial diversity and richness in coastal area S than D. Taxonomic analysis revealed that the phylum Proteobacteria showed the highest abundance in all samples. Other dominant phyla were Firmicutes, Cyanobacteria, Tenericutes, and Actinobacteria. The bacterial community compositions were significantly different between the two coastal areas. A significant community difference was also found between the sampling sites of coastal area S. However, the difference between sampling sites in coastal area D was not significant. Physicochemical factors showed a more significant effect on bacterial community composition than nutrients. Pearson correlation tests and Network analysis further confirmed that salinity/conductivity, pH, and nitrate were the key factors driving the community difference. PICRUSt analysis revealed a higher degree of functional pathways in coastal area S relating to carbohydrate metabolism, membrane transport, and xenobiotics biodegradation. Our results provide in-depth insights into the bacterial community compositions in typical polluted coastal bays. They may provide information on underlying factors of the assembly process in microbial communities in the coastal zone.