Portable microwave sensor system for real-time detection of microplastics in seawater

Abstract With the rapid development of the global plastic industry, microplastic pollution has become an increasingly serious environmental concern. However, standardized technologies for convenient, accurate, and real-time microplastic detection are limited. To address this challenge, a microwave resonant sensor with a complete microplastic detection system equipped with a Bluetooth module for remote real-time monitoring of microplastic concentrations was developed. Microplastic concentrations were measured in deionized water containing polyvinyl chloride powder (particle size: 6.5 ± 1 μm), simulated artificial seawater, and real seawater samples. The integration of the microfluidic system mitigated the interference caused by the complex seawater matrix, thereby ensuring stable and reliable microwave-based detection of microplastic concentrations. The system demonstrated high repeatability for predicting the concentration of microplastics in seawater samples. The proposed method demonstrated a recognition rate of over 96% with a tolerance of ±0.01 mg/mL, while maintaining a minimum detection limit of 48.72 ng/mL. To improve the prediction accuracy, a convolutional neural network algorithm was employed to predict microplastic concentrations based on the test results, with the predicted and actual concentrations being highly consistent. Finally, a compact and portable seawater microplastic monitoring system was developed by integrating the microwave sensor with Bluetooth and embedded systems, enabling real-time microplastic concentration monitoring in marine environments.

Authors

Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-08-24
DOI
https://doi.org/10.1038/s41378-026-01413-y
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Portable microwave sensor system for real-time detection of microplastics in seawater

Jiaxu Liu, Nam‐Young Kim, Xiaocui Wang, Zhao Yao et al.
Microsystems & Nanoengineering
Microplastics and Plastic Pollution
article

Portable microwave sensor system for real-time detection of microplastics in seawater

Jiaxu Liu, Nam‐Young Kim, Xiaocui Wang, Zhao Yao, Qilong Zhang, Eun-Seong Kim, Guanlin Li, Yuxuan Hou, Yuanyue Li, Qingzhou Wang
article en

Abstract

Abstract With the rapid development of the global plastic industry, microplastic pollution has become an increasingly serious environmental concern. However, standardized technologies for convenient, accurate, and real-time microplastic detection are limited. To address this challenge, a microwave resonant sensor with a complete microplastic detection system equipped with a Bluetooth module for remote real-time monitoring of microplastic concentrations was developed. Microplastic concentrations were measured in deionized water containing polyvinyl chloride powder (particle size: 6.5 ± 1 μm), simulated artificial seawater, and real seawater samples. The integration of the microfluidic system mitigated the interference caused by the complex seawater matrix, thereby ensuring stable and reliable microwave-based detection of microplastic concentrations. The system demonstrated high repeatability for predicting the concentration of microplastics in seawater samples. The proposed method demonstrated a recognition rate of over 96% with a tolerance of ±0.01 mg/mL, while maintaining a minimum detection limit of 48.72 ng/mL. To improve the prediction accuracy, a convolutional neural network algorithm was employed to predict microplastic concentrations based on the test results, with the predicted and actual concentrations being highly consistent. Finally, a compact and portable seawater microplastic monitoring system was developed by integrating the microwave sensor with Bluetooth and embedded systems, enabling real-time microplastic concentration monitoring in marine environments.

Microsystems & NanoengineeringVol. 12(1)
Openalex Percentile: Top 20%
Microplastics and Plastic Pollution
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Portable microwave sensor system for real-time detection of microplastics in seawater — Jiaxu Liu, Nam‐Young Kim, et al. · Microsystems & Nanoengineering (2026) | TGRS Research Map | TGRS