Evidence map›Paper›PMID 39347992›Full record

ArticleMikrochimica acta2024

Enhancing the sensitivity of immunomagnetic assay for 3-phenoxybenzonic acid: a novel approach utilizing magnetosome-nanobody complexes and gold nanoparticles probes.

Jinxin He, Yuan Wang, Lin Zhao, Xiaodong Chen, Fang Tang, Shaopeng Gu, Jiesheng Tian

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jinxin He *College of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Yuan Wang *Echo Biotech Co Ltd, Beijing, 102699, China.
Lin ZhaoCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Xiaodong ChenCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Fang TangCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Shaopeng GuCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, 030801, Shanxi, China. shpgu@163.com.
Jiesheng TianState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China. tianhome@cau.edu.cn.

Funding

Shanxi Province Science Foundation for Youths 20210302124139
6 · The paper itself

Abstract

The 3-phenoxybenzoic acid (3-PBA) residues in environment are posing a significant challenge to our daily lives. To establish a more sensitive and rapid detection method, anti-3-PBA nanobodies (Nbs) were immobilized onto magnetosomes (bacterial magnetic nanoparticles, termed as BMPs), forming a robust BMP-Nb complex. The 3-PBA derivative was labeled with horseradish peroxidase (HRP) and further associated with gold nanoparticles (AuNPs) to create a highly sensitive probe (3-PBA-HRP-AuNP). An innovative immunoassay that combined BMP-Nb complex with 3-PBA-HRP-AuNP was developed for determinaton of 3-PBA. This method enabled the determination of 3-PBA with a half-maximum signal inhibition concentration (IC

Indexed as

BenzoatesGoldMetal NanoparticlesAntibodies, ImmobilizedHorseradish PeroxidaseImmunoassayImmunomagnetic SeparationLimit of DetectionSingle-Domain AntibodiesWater Pollutants, Chemical3-phenoxybenzoic acidAntibodies, ImmobilizedBenzoatesGoldHorseradish PeroxidaseSingle-Domain AntibodiesWater Pollutants, Chemical3-Phenoxybenzonic acidAbsorbance measurementsGold nanoparticles probesImmunomagnetic assayMagnetosomeNanobody

Identifiers

PMID39347992

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.