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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Marine & Wildlife Sign in to save

A platform for microplastic assessment in aquatic environments based on the protein corona-induced aggregation effect

Biosensors and Bioelectronics 2024 14 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Zizhen Xiao, Han Zhang Zizhen Xiao, Zizhen Xiao, Zizhen Xiao, Zizhen Xiao, Zizhen Xiao, Siyi Hong, Xin Zhang, Siyi Hong, Siyi Hong, Siyi Hong, Han Zhang Ye Zhang, Han Zhang Xin Zhang, Han Zhang Han Zhang Han Zhang Han Zhang Han Zhang

Summary

Researchers designed a photoelectrochemical sensor that detects polystyrene microplastics in water based on protein corona-induced aggregation effects. The sensor achieved a detection limit of 0.06 micrograms per milliliter with high sensitivity and reproducibility across real water samples. The study presents a practical platform for real-time, in-situ monitoring of microplastic pollution in aquatic environments without requiring large-scale laboratory instruments.

Polymers

The environmental hazards of microplastics have received widespread attention. However, the in-situ detection of microplastics, particularly in aquatic environments, has been challenged by the limitations of detection methods, the large-scale instruments, and small size. Herein, a photoelectrochemical sensor based on the protein corona-induced aggregation effect is designed for the detection of polystyrene microplastics. The sensor has advantages of high sensitivity, reproducibility, and detection capability. A linear detection range of 0.5-500 μg mL, a method detection limit of 0.06 μg mL, and a limit of quantification of 0.14 μg mL are achieved. Furthermore, the relative standard deviations of intra-day and inter-day precision, ranging from 0.56% to 4.63% and 0.84%-3.36% are obtained. A digital multimeter was employed to construct a platform for the real-time detection in real water samples, streamlining the detection process and yielding clear results. We believe this sensor provides new insight for the in-situ real-time detection of microplastics and has broad applications for the analysis of microplastic pollution in aquatic environments.

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