Paper-Based Chip Platform: PCR-SERS-LFA Integration for On-Site Coastal Harmful Microorganism Detection

Harmful algal blooms (HABs) and pathogenic microorganisms threaten coastal ecosystems and public health, requiring rapid field-deployable detection. Herein, we present an integrated paper-based platform combining polymerase chain reaction (PCR), surface-enhanced Raman scattering (SERS), and lateral flow assay (LFA) for on-site nucleic acid detection. The platform integrates a miniature thermal cycler, lyophilized paper-based reaction chambers, and a capillary-driven detection pen for contamination-free transfer and dual-mode readout. The platform achieved limits of detection of 10 1 –10 2 copies μL –1 by SERS and 10 3 –10 4 copies μL –1 by visualization for Enterococcus spp., Escherichia coli, Alexandrium tamarense, and Noctiluca scintillans, with complete amplification and detection within 30 min. Field validation at a coastal bathing beach showed agreement with laboratory-based quantitative PCR (qPCR), with only one discordant result out of 36 environmental samples, demonstrating comparable performance to the current gold-standard method while offering portability and rapid on-site response. Furthermore, the platform identified Ulva prolifera (a key driver of green tide) micropropagules as small as 600 μm and enabled large-scale mapping of overwintering zones across the Yellow-Bohai Sea. This platform supports rapid environmental monitoring and public health surveillance.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-07-16
DOI
https://doi.org/10.1021/acs.est.6c06094
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
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article

Paper-Based Chip Platform: PCR-SERS-LFA Integration for On-Site Coastal Harmful Microorganism Detection

Chunlei Xia, Lingxin Chen, Rongchao Mei, Yixuan Wu et al.
Environmental Science & Technology
Biosensors and Analytical Detection
article

Paper-Based Chip Platform: PCR-SERS-LFA Integration for On-Site Coastal Harmful Microorganism Detection

Chunlei Xia, Lingxin Chen, Rongchao Mei, Yixuan Wu, Qishuo Wang, Longwen Fu, Zhiyang Zhang, Jiadong Chen, Hongxiao Sun, Yunqing Wang, Xiaoyan Wang
article en

Abstract

Harmful algal blooms (HABs) and pathogenic microorganisms threaten coastal ecosystems and public health, requiring rapid field-deployable detection. Herein, we present an integrated paper-based platform combining polymerase chain reaction (PCR), surface-enhanced Raman scattering (SERS), and lateral flow assay (LFA) for on-site nucleic acid detection. The platform integrates a miniature thermal cycler, lyophilized paper-based reaction chambers, and a capillary-driven detection pen for contamination-free transfer and dual-mode readout. The platform achieved limits of detection of 10 1 –10 2 copies μL –1 by SERS and 10 3 –10 4 copies μL –1 by visualization for Enterococcus spp., Escherichia coli, Alexandrium tamarense, and Noctiluca scintillans, with complete amplification and detection within 30 min. Field validation at a coastal bathing beach showed agreement with laboratory-based quantitative PCR (qPCR), with only one discordant result out of 36 environmental samples, demonstrating comparable performance to the current gold-standard method while offering portability and rapid on-site response. Furthermore, the platform identified Ulva prolifera (a key driver of green tide) micropropagules as small as 600 μm and enabled large-scale mapping of overwintering zones across the Yellow-Bohai Sea. This platform supports rapid environmental monitoring and public health surveillance.

Environmental Science & Technology
Shaoxing University (CN), Chinese Academy of Sciences (CN), Institute of Marine Biotechnology (DE), Yantai Institute of Coastal Zone Research (CN), Qingdao National Laboratory for Marine Science and Technology (CN), Shandong Marine Resource and Environment Research Institute (CN), Beijing Municipal Ecological and Environmental Monitoring Center (CN), Shandong Academy of Pharmaceutical Sciences (CN), Shandong First Medical University (CN)
Life below water
Openalex Percentile: Top 16%
Biosensors and Analytical Detection
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