Evidence map›Paper›PMID 42579021›Full record

ArticleMikrochimica acta2026

Boronate-mediated antibody orientation: a molecular simulation-guided strategy for ultra-sensitive lateral flow immunoassays.

Zehao Yang, Xiliang Yan, Zijun Yang, Wenjing Li, Lu Liu, Esra Bağda, Efkan Bağda, Hongtao Lei, Xiangmei Li

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zehao YangGuangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Xiliang YanCollege of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Zijun YangGuangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Wenjing LiGuangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Lu LiuGuangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Esra BağdaDepartment of Basic Pharmaceutical Sciences, Analytical Chemistry Division, Faculty of Pharmacy, Sivas Cumhuriyet University, Sivas, 58140, Türkiye.
Efkan BağdaDepartment of Molecular Biology and Genetics, Faculty of Science, Sivas Cumhuriyet University, Sivas, 58140, Türkiye.
Hongtao LeiGuangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
Xiangmei LiGuangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou, 510642, China. lixiangmei12@163.com.

Funding

National Natural Science Foundation of China 32572699
6 · The paper itself

Abstract

The random immobilization of antibodies on lateral flow immunoassay (LFIA) strips remains a major factor limiting assay sensitivity and consistency. To address this, we report a boronate affinity-based strategy for site-specific antibody orientation via covalent reaction between boronic acid and cis-diol groups on Fc-region glycans. Molecular dynamics simulations provided mechanistic support for this design. The boronate-antibody configuration demonstrated the most favorable binding energy (- 153.93 kJ/mol) and the fastest conformational stabilization (< 40 ns), suggesting a stabilization process involving initial electrostatic guidance followed by hydrogen-bond and covalent bond formation. Experimentally, this oriented immobilization achieved an antibody conjugation efficiency of 99.92%, a Fab exposure rate of 47.52% and significantly improved functional activity, with an affinity constant of 0.93 × 10⁸ M⁻¹, outperforming conventional passive adsorption. Applied to the detection of zearalenone (ZEN) in corn, the oriented LFIA showed a dramatic sensitivity enhancement. The limit of detection reached 0.049 µg/kg, 200-fold higher than traditional colloidal gold LFIA. The visual cut-off value was 0.5 µg/kg. Validation with spiked and naturally contaminated samples yielded recoveries of 84.7%-103.4% (CV: 7.1%-12.6%) and excellent correlation (R

Indexed as

Antibodies, ImmobilizedBoronic AcidsMolecular Dynamics SimulationZearalenoneImmunoassayLimit of DetectionZea maysAntibodies, ImmobilizedBoronic AcidsZearalenoneAntibody orientationBoronate chemistryFood safetyLateral flow immunoassayMolecular dynamics simulationZearalenone

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.