Evidence map›Paper›PMID 30848375›Full record

ArticleMikrochimica acta2019

Immunochromatographic fluorometric determination of clenbuterol with enhanced sensitivity.

Yuyang Zeng, Demei Liang, Pimiao Zheng, Tao Peng, Shujuan Sun, Ghulam Mujtaba Mari, Haiyang Jiang

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  6. Review
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.

Yuyang ZengBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, 100193, Beijing, People's Republic of China.
Demei LiangBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, 100193, Beijing, People's Republic of China.
Pimiao ZhengBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, 100193, Beijing, People's Republic of China.
Tao PengBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, 100193, Beijing, People's Republic of China.
Shujuan SunBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, 100193, Beijing, People's Republic of China.
Ghulam Mujtaba MariBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, 100193, Beijing, People's Republic of China.
Haiyang JiangBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, China Agricultural University, 100193, Beijing, People's Republic of China. haiyang@cau.edu.cn.

Funding

The Ministry of Science and Technology of People's Republic of China 2017YFF0211003
6 · The paper itself

Abstract

A method is described to enhance the sensitivity of an immunochromatographic assay for clenbuterol (CLE) by making use of dually-labeled gold nanoparticles (GNPs), background fluorescence blocking, and immunomagnetic separation. The GNPs were labeled with biotinylated antibody and streptavidin, respectively, and dually labeled GNPs were obtained via the biotin-streptavidin interaction to amplify the detection signal. The fluorescent signal was blocked by dually labeled GNPs and decreased as the dually labeled GNPs aggregation increases on nitrocellulose membrane, which derived from fluorescent polyvinylchloride card. However, fluorescence (measured at excitation/emission wavelengths of 518/580 nm) recovers when CLE reacts with dually labeled GNPs. Immunomagnetic separation was first applied for sample pretreatment. This can offset the matrix effect and improves the sensitivity and accuracy of the assay. Under the optimal conditions, the limits of detection of CLE visually were 0.25 μg·L

Indexed as

AnimalsAntibodiesBiotinChromatography, AffinityClenbuterolCollodionFluorescent DyesFluorometryGoldImmunoassayLimit of DetectionMembranes, ArtificialMetal NanoparticlesParticle SizeSensitivity and SpecificityStreptavidinAntibodiesBiotinClenbuterolCollodionFluorescent DyesGoldMembranes, ArtificialStreptavidinBackground fluorescenceClenbuterolDual-labeled gold nanoparticlesFluorescence blockingImmunomagnetic separationLateral flow immunoassaySignal amplificationSwine urine

Identifiers

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Registered trials

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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.