Ligand Engineering-Based High-Efficiency Photothermal Sensors Powered Sensitive Lateral Flow Immunoassay Platform

The photothermal lateral flow immunoassay (LFIA) has garnered considerable attention, owing to its suitability for on-site quantitative detection. Furthermore, it has distinct advantages in further constructing sensitive detection methods for low-concentration targets. In this study, we employed a ligand engineering strategy to synthesize Fe<sup>3+</sup>-chelated quinone nanoparticles (FQNPs). Quinones with different structures, namely, naphthazarin, quinizarine, purpurin, and tetrahydroxyanthraquinone (THAQ), served as ligands to fabricate a series of FQNPs. Among them, FQNPs based on tetrahydroxyanthraquinone (FQNPs-T) exhibited exceptional light absorption ability (molar extinction coefficient = 12.71 × 10<sup>10</sup> M<sup>-1</sup> cm<sup>-1</sup>) and photothermal conversion efficiency (η = 60.32%). Subsequently, a photothermal LFIA based on FQNPs-T (FQNPs-LFIA) was developed for the detection of chlorantraniliprole (CHL) in apple and chili. The FQNPs-LFIA enables the highly sensitive detection of CHL within 25 min with a limit of detection (LOD) of 0.021 ng mL<sup>-1</sup>, which was 8.77-fold lower than that of conventional gold nanoparticle-based LFIA (0.193 ng mL<sup>-1</sup>). The average recovery rates of FQNPs-LFIA were 84.29-113.58%, with coefficients of variation of 4.20-14.84%. Overall, this study demonstrates the potential of FQNPs-LFIA for the sensitive and accurate detection of CHL, and it paves the way for the rapid screening of other food contaminants.

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Publication Details

Journal
Analytical Chemistry
Published
2025-09-05
DOI
https://doi.org/10.1021/acs.analchem.5c02864
Citations
3
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
2.42

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article

Ligand Engineering-Based High-Efficiency Photothermal Sensors Powered Sensitive Lateral Flow Immunoassay Platform

Zongyou Chen, Juan Peng, Keyang Lai, Shihai Huang et al.
3 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
2.42
article

Ligand Engineering-Based High-Efficiency Photothermal Sensors Powered Sensitive Lateral Flow Immunoassay Platform

Zongyou Chen, Juan Peng, Keyang Lai, Shihai Huang, Weihua Lai, Jiaqi Yin
article en
3 citations

Abstract

The photothermal lateral flow immunoassay (LFIA) has garnered considerable attention, owing to its suitability for on-site quantitative detection. Furthermore, it has distinct advantages in further constructing sensitive detection methods for low-concentration targets. In this study, we employed a ligand engineering strategy to synthesize Fe<sup>3+</sup>-chelated quinone nanoparticles (FQNPs). Quinones with different structures, namely, naphthazarin, quinizarine, purpurin, and tetrahydroxyanthraquinone (THAQ), served as ligands to fabricate a series of FQNPs. Among them, FQNPs based on tetrahydroxyanthraquinone (FQNPs-T) exhibited exceptional light absorption ability (molar extinction coefficient = 12.71 × 10<sup>10</sup> M<sup>-1</sup> cm<sup>-1</sup>) and photothermal conversion efficiency (η = 60.32%). Subsequently, a photothermal LFIA based on FQNPs-T (FQNPs-LFIA) was developed for the detection of chlorantraniliprole (CHL) in apple and chili. The FQNPs-LFIA enables the highly sensitive detection of CHL within 25 min with a limit of detection (LOD) of 0.021 ng mL<sup>-1</sup>, which was 8.77-fold lower than that of conventional gold nanoparticle-based LFIA (0.193 ng mL<sup>-1</sup>). The average recovery rates of FQNPs-LFIA were 84.29-113.58%, with coefficients of variation of 4.20-14.84%. Overall, this study demonstrates the potential of FQNPs-LFIA for the sensitive and accurate detection of CHL, and it paves the way for the rapid screening of other food contaminants.

Analytical ChemistryVol. 97(36)
Nanchang University (CN), State Key Laboratory of Food Science and Technology (CN)
State Key Laboratory of Food Science and Technology, National Key Research and Development Program of China
Openalex Percentile: Top 10%
Advanced biosensing and bioanalysis techniques
2.42
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