Aggregation-Induced Emission-Based Lateral Flow Assays for Food Safety Analysis: Design Strategies, Performance Characteristics, and Recent Advances

Lateral flow assays (LFAs), as miniaturized paper-based sensing platforms, have introduced simple, effective, and point-of-care testing (POCT) devices for detecting various targets, including contaminants, pathogens, antibiotic residues, and pesticide residues, in complex food matrices. The principle of operation in these assays relies on a signal reporting label, which plays a crucial role in improving the sensitivity of the detection approach. However, conventional LFA signal labels often exhibit insufficient sensitivity when detecting biomarkers at low concentrations. The integration of aggregation-induced luminescence (AIE) materials into the structure of LFAs has enabled sensitive and selective analytical methods for a variety of assay applications. The increase in luminescence intensity in aggregated states is accompanied by a high signal-to-noise ratio and excellent photostability. Additionally, their high quantum yields (QYs) and strong fluorescence make them well-suited for various optical sensors based on LFAs, including both colorimetric and fluorescence-based LFAs. This review explores the potential of AIE materials in LFAs for food safety analysis. It also provides a detailed discussion of the operational principles of both AIE materials and LFAs. Furthermore, the design of these platforms and their recent advancements in food safety applications are thoroughly reviewed.

Authors

Institutions

Publication Details

Journal
Critical Reviews in Analytical Chemistry
Published
2026-02-01
DOI
https://doi.org/10.1080/10408347.2026.2615688
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aggregation-Induced Emission-Based Lateral Flow Assays for Food Safety Analysis: Design Strategies, Performance Characteristics, and Recent Advances

Gulnoza Djakhangirova, Chou-Yi Hsu, Muhammad Shahid Iqbal, Shakeel Ahmed Ansari et al.
Critical Reviews in Analytical Chemistry
Biosensors and Analytical Detection
article

Aggregation-Induced Emission-Based Lateral Flow Assays for Food Safety Analysis: Design Strategies, Performance Characteristics, and Recent Advances

Gulnoza Djakhangirova, Chou-Yi Hsu, Muhammad Shahid Iqbal, Shakeel Ahmed Ansari, Hader I. Sakr, Hamad AlMohamadi, Zyad Shaaban, Tawfeeq Abdulameer Hashim Alghazali, Paul Rodrigues, Abdelgadir Elamin Eltom
article en

Abstract

Lateral flow assays (LFAs), as miniaturized paper-based sensing platforms, have introduced simple, effective, and point-of-care testing (POCT) devices for detecting various targets, including contaminants, pathogens, antibiotic residues, and pesticide residues, in complex food matrices. The principle of operation in these assays relies on a signal reporting label, which plays a crucial role in improving the sensitivity of the detection approach. However, conventional LFA signal labels often exhibit insufficient sensitivity when detecting biomarkers at low concentrations. The integration of aggregation-induced luminescence (AIE) materials into the structure of LFAs has enabled sensitive and selective analytical methods for a variety of assay applications. The increase in luminescence intensity in aggregated states is accompanied by a high signal-to-noise ratio and excellent photostability. Additionally, their high quantum yields (QYs) and strong fluorescence make them well-suited for various optical sensors based on LFAs, including both colorimetric and fluorescence-based LFAs. This review explores the potential of AIE materials in LFAs for food safety analysis. It also provides a detailed discussion of the operational principles of both AIE materials and LFAs. Furthermore, the design of these platforms and their recent advancements in food safety applications are thoroughly reviewed.

Critical Reviews in Analytical Chemistry
University of Dubai (AE), Prince Sattam Bin Abdulaziz University (SA), Cairo University (EG), Gulf Medical University (AE), General Medical Council (GB), Battery Park (US), Islamic University (BD), Tashkent Chemical-Technological Institute (UZ), Islamic University of Madinah (SA), University of Islamic Studies (PK), Chia Nan University of Pharmacy and Science (TW), King Khalid University (SA)
Openalex Percentile: Top 71%
Biosensors and Analytical Detection
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.