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Interfacial Regulation–Driven Dual‐Enrichment SERS Coupled With Deep Learning Enable Ultrasensitive and In Situ Identification of Microplastics in Natural Waters (Small 44/2026)

Small 2026
Chaochao Ma, Xiaojiao Zhao, Jiacheng Li, Xinyu Liu, Mingxu Zhang, Zhidan Liu, Jing Wu, Zhifeng Liu, Yunpeng Wang, Yang Li

Summary

Scientists have developed a new test kit that can detect tiny amounts of microplastics in natural water sources quickly and without complicated lab prep, using special light-sensing nanoparticles and AI to identify different plastic types. This matters because microplastics are increasingly found in our drinking water and food chain, and having a fast, sensitive detection tool could help researchers and water treatment facilities catch contamination early, an important step toward understanding and reducing our exposure to these particles.

Environmental Monitoring A membrane-confined SERS platform featuring charge-regulated Au@Ag nanocubes enables dual-enrichment microplastic detection in natural waters. Coupled with an attention-based 1D-CNN, this kit achieves ultrasensitive identification (50 ng mL−1) and intelligent discrimination of polymer mixtures without chemical pretreatment, offering a robust route for intelligent environmental monitoring. More in Research Article e74231, Zhifeng Liu, Yunpeng Wang, Yang Li, and co-workers.

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