ArticleFood chemistry: X2023
Highly sensitive immunochromatographic assay for simultaneous determination of azaperone and azaperol in pork.
Article in Food chemistry: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
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Who cites it
1 citing paper in PubMed.
- Development of the Chromatographic Method for Simultaneous Determination of Azaperone and Azaperol in Animal Kidneys and Livers.International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, a sensitive immunochromatographic assay (ICA) was developed for simultaneously detecting azaperone (AZN) and its metabolite azaperol (AZL) based on the high-affinity monoclonal antibody (mAb). Herein, the hapten AZL-SA was synthesized by succinic anhydride method, and then the conjugates AZL-SA-OVA and AZL-SA-KLH were prepared by EDC/NHS method. Subsequently, mAb was produced for targets monitoring through two detection modes. In direct ICA (using gold nanoparticles labeled specific antibodies), the visual LOD of AZN was 80 ng/g. For indirect ICA (using gold nanoparticles labeled anti-species antibodies), the visual and instrumental LODs of AZN were 8 and 0.14 ng/g, and AZL were 8 and 0.12 ng/g, respectively. The results indicated that the visual detection limit (LOD) of indirect format was tenfold lower than that of direct format. The established analytical method obtains the results within 15 min and provides a sensitive and simple tool for on-site detection of AZN and AZL.
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Registered trials
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.