A Label‐Free Bioluminescent scFv‐NLuc Fusion Probe Enabling a Smartphone‐Based Sensitive Immunoassay Platform Using Lomefloxacin as a Model Analyte

Enzymes as labeling agents enhance lateral flow immunoassays (LFIA). However, their biological instability and reliance on labor-intensive chemical conjugation hinder practical high-throughput screening of food contaminants. To address this, we report a rapid, label-free luciferase-based platform for quantifying lomefloxacin (LOM) in food. The assay uses an engineered immunoprobe: a high-affinity single-chain variable fragment antibody (3G9-scFv) specific to LOM, combined with Nanoluciferase (NLuc) as an intrinsic signal generator without covalent labeling. NLuc catalyzes furimazine oxidation, producing stable bioluminescence inversely proportional to LOM concentration. This label-free design eliminates conjugation variability and simplifies protocol execution. Smartphone-based luminescence measurement enables sensitive field detection, with a limit of quantification of 0.12 ng/mL. Furthermore, homology modeling and molecular docking elucidated the structural basis for the dual functionality of 3G9-scFv, validating the rational use of unlabeled enzymatic tracers. The visual detection limit was determined to be 1 ng/mL. Recovery rates ranged from 79.0% to 113.0%, with coefficients of variation (CVs) between 2.3% and 10.9%, indicating high accuracy and reproducibility. This system offers a novel rapid detection platform for monitoring hazardous residues in food safety.

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Publication Details

Journal
Small
Published
2026-08-14
DOI
https://doi.org/10.1002/smll.75027
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

A Label‐Free Bioluminescent scFv‐NLuc Fusion Probe Enabling a Smartphone‐Based Sensitive Immunoassay Platform Using Lomefloxacin as a Model Analyte

Mingyue Ding, Da-peng Peng, Shiyun Han, Xu Wang et al.
Small
Biosensors and Analytical Detection
article

A Label‐Free Bioluminescent scFv‐NLuc Fusion Probe Enabling a Smartphone‐Based Sensitive Immunoassay Platform Using Lomefloxacin as a Model Analyte

Mingyue Ding, Da-peng Peng, Shiyun Han, Xu Wang, Hao Wen, Hongfei Yang, Long Li, Linwei Zhang, Shixiang Wu
article en

Abstract

Enzymes as labeling agents enhance lateral flow immunoassays (LFIA). However, their biological instability and reliance on labor-intensive chemical conjugation hinder practical high-throughput screening of food contaminants. To address this, we report a rapid, label-free luciferase-based platform for quantifying lomefloxacin (LOM) in food. The assay uses an engineered immunoprobe: a high-affinity single-chain variable fragment antibody (3G9-scFv) specific to LOM, combined with Nanoluciferase (NLuc) as an intrinsic signal generator without covalent labeling. NLuc catalyzes furimazine oxidation, producing stable bioluminescence inversely proportional to LOM concentration. This label-free design eliminates conjugation variability and simplifies protocol execution. Smartphone-based luminescence measurement enables sensitive field detection, with a limit of quantification of 0.12 ng/mL. Furthermore, homology modeling and molecular docking elucidated the structural basis for the dual functionality of 3G9-scFv, validating the rational use of unlabeled enzymatic tracers. The visual detection limit was determined to be 1 ng/mL. Recovery rates ranged from 79.0% to 113.0%, with coefficients of variation (CVs) between 2.3% and 10.9%, indicating high accuracy and reproducibility. This system offers a novel rapid detection platform for monitoring hazardous residues in food safety.

Small
Huazhong Agricultural University (CN), Zhejiang Center for Disease Control and Prevention (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 18%
Biosensors and Analytical Detection
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A Label‐Free Bioluminescent scFv‐NLuc Fusion Probe Enabling a Smartphone‐Based Sensitive Immunoassay Platform Using Lomefloxacin as a Model Analyte — Mingyue Ding, Da-peng Peng, et al. · Small (2026) | TGRS Research Map | TGRS