A Systematic Review of On-Site Rapid Detection Methods for Antibiotic Residues in Aquatic Products (2021–2025)

Antibiotic residues in aquatic products pose a serious food safety concern, whereas conventional laboratory methods often fail to meet the demand for on-site rapid screening. This study systematically reviews the research progress from 2021 to 2025 on both the risks of antibiotic residues in aquatic products and the development of rapid on-site detection technologies. First, based on a literature survey covering major aquatic products (e.g., fish, shrimp, and shellfish), the widespread occurrence of multiple antibiotics at high concentrations was documented, with quinolones and sulfonamides identified as the most frequently detected classes. To address the need for on-site testing, this review focuses on six rapid detection techniques: fluorescent sensor (FRS), lateral flow immunoassay (LFIA), surface-enhanced Raman scattering (SERS), enzyme-linked immunosorbent assay (ELISA), electrochemical sensor (ECRS), and colorimetric sensor (CRS). The core principles, technical advantages, recent application cases (e.g., integration with smartphones and novel nanomaterials), and development trends for each method are analyzed. Finally, it discusses the current challenges faced by existing on-site detection approaches and their potential solutions. Technology selection strategies tailored to different application scenarios (e.g., aquaculture farms, distribution channels, and consumer-level use) are also proposed.

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Publication Details

Journal
Foods
Published
2026-04-07
DOI
https://doi.org/10.3390/foods15071264
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

A Systematic Review of On-Site Rapid Detection Methods for Antibiotic Residues in Aquatic Products (2021–2025)

Liang Hong, Y. F. Wang, Huili Xia, Gangjian Lin et al.
Foods
Pharmaceutical and Antibiotic Environmental Impacts
article

A Systematic Review of On-Site Rapid Detection Methods for Antibiotic Residues in Aquatic Products (2021–2025)

Liang Hong, Y. F. Wang, Huili Xia, Gangjian Lin, Jin Li, Jinjie Zhang, Jinjun Zhang, Guangyao Ying, Tingting Wang, Kunlun Li
article en

Abstract

Antibiotic residues in aquatic products pose a serious food safety concern, whereas conventional laboratory methods often fail to meet the demand for on-site rapid screening. This study systematically reviews the research progress from 2021 to 2025 on both the risks of antibiotic residues in aquatic products and the development of rapid on-site detection technologies. First, based on a literature survey covering major aquatic products (e.g., fish, shrimp, and shellfish), the widespread occurrence of multiple antibiotics at high concentrations was documented, with quinolones and sulfonamides identified as the most frequently detected classes. To address the need for on-site testing, this review focuses on six rapid detection techniques: fluorescent sensor (FRS), lateral flow immunoassay (LFIA), surface-enhanced Raman scattering (SERS), enzyme-linked immunosorbent assay (ELISA), electrochemical sensor (ECRS), and colorimetric sensor (CRS). The core principles, technical advantages, recent application cases (e.g., integration with smartphones and novel nanomaterials), and development trends for each method are analyzed. Finally, it discusses the current challenges faced by existing on-site detection approaches and their potential solutions. Technology selection strategies tailored to different application scenarios (e.g., aquaculture farms, distribution channels, and consumer-level use) are also proposed.

FoodsVol. 15(7)
Ningbo University (CN), Zhejiang Chinese Medical University (CN), Zhejiang Academy of Medical Sciences (CN), ZheJiang Institute For Food and Drug Control (CN), Taizhou University (CN)
Zhejiang Chinese Medical University, Taizhou Municipal Science and Technology Bureau, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 36%
Pharmaceutical and Antibiotic Environmental Impacts
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