Evidence map›Paper›PMID 31187272›Full record

ArticleMikrochimica acta2019

A silica nanoparticle based 2-color immunochromatographic assay for simultaneous determination of clenbuterol and ractopamine.

Qiongqiong Yu, Jing Liu, Guangying Zhao, Wenchao Dou

Abstract read
PubMed Publisher
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
  2. Review
  3. Fluorescent hollow ZrOMikrochimica acta · 2021
    Article
  4. Article
  5. Article
  6. Article
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

4 authors.

Qiongqiong YuFood Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, 310018, China.
Jing LiuFood Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, 310018, China.
Guangying ZhaoFood Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, 310018, China.
Wenchao DouFood Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, 310018, China. wdou@zjsu.edu.cn.ORCID 0000-0003-0999-012X

Funding

National Natural Science Foundation of Zhejiang Province LY17C200003
6 · The paper itself

Abstract

An immunochromatographic assay (ICA) is presented that can be applied to simultaneous detection of clenbuterol (CLE) and ractopamine (RAC). It is making use of two red and blue silica nanoparticles (SiNPs) that act as labels for encoding the antibodies. This design permits multiplexed analysis in a single test line and does not require an external source for photoexcitation. Anti-CLE was labeled with red SiNPs, and anti-RAC with blue SiNPs. The capture antigens CLE-BSA and RAC-BSA were placed onto the conjugate pad and the test line of the test strip, respectively. Under bare eye examination, no cross-colored lines or nonspecific bioconjugate adsorption were observed, and the visible limit of detections for CLE (red) and RAC (blue) are 3 and 2 ng‧mL

Indexed as

Adrenergic beta-AgonistsAntibodies, MonoclonalClenbuterolColorImmunoassayLimit of DetectionNanoparticlesPhenethylaminesPoint-of-Care TestingSilicon DioxideAdrenergic beta-AgonistsAntibodies, MonoclonalClenbuterolPhenethylaminesractopamineSilicon DioxideBare eyeColored silica nanoparticlesHue intensityImageJImmune assayLateral flow assayMultiplex ICAOn-siteVisibleβ-Agonists

Identifiers

PMID31187272

What OpenQuestion holds

Textmetadata
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.