ArticleMikrochimica acta2025
Quantitative immunosensor for dibenz[a,h]anthracene on-site detection in oilfield chemicals based on computer-aided antibody.
Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Development of a highly sensitive electrochemical immunosensor and lateral flow immunoassay for enrofloxacin using optimized haptens.Analytical and bioanalytical chemistry · 2026Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A paper sensor, a gold nanoparticles-based lateral flow immunochromatographic assay (GNPs-LFIA), was successfully established for the rapid quantitative detection of dibenz[a,h]anthracene (DBA) in drilling fluids (DFs). Computational analysis was employed to rationally design a novel hapten to effectively expose the active site of DBA, resulting in the successful development of a monoclonal antibody with high sensitivity and specificity. The half-maximum inhibitory concentration was 5.814 ng/mL. Then, the GNPs-LFIA was established following the optimization of the extraction agent and method. The limit of detection for DF samples was 0.273 mg/kg. Recovery experiments showed a high level of consistency with the results obtained by high-performance liquid chromatography-fluorescence detection, which indicated that the established GNPs-LFIA offered exceptional accuracy and reliability. Consequently, this method is well-suited for the rapid screening and determination of DBA in oilfield chemicals and presents a technical solution to identify polycyclic aromatic hydrocarbons.
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Registered trials
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