Evidence map›Paper›PMID 36352902›Full record

ArticleFrontiers in nutrition2022

A highly sensitive lateral flow immunoassay for the rapid and on-site detection of enrofloxacin in milk.

Munirah Alhammadi, Jingon Yoo, Sonam Sonwal, So Young Park, Reddicherla Umapathi, Mi-Hwa Oh, Yun Suk Huh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

8 citing papers in PubMed, 33 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Munirah AlhammadiDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Incheon, South Korea.
Jingon YooDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Incheon, South Korea.
Sonam SonwalDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Incheon, South Korea.
So Young ParkDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Incheon, South Korea.
Reddicherla UmapathiDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Incheon, South Korea.
Mi-Hwa OhNational Institute of Animal Science, Rural Development Administration, Wanju, South Korea.
Yun Suk HuhDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Incheon, South Korea.
Inha University · KRNational Institute of Animal Science · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enrofloxacin (ENR) is a veterinary antibiotic used to treat bacterial infections in livestock. It chiefly persists in foods and dairy products, which in turn pose severe risks to human health. Hence it is very important to detect the ENR in foods and dairy products to safeguard human health. Herein, we attempted to develop a single-step detection lateral flow immunochromatographic assay (LFIA) using gold nanoparticles (AuNPs) for the rapid and on-site detection of ENR in milk samples. An anti-enrofloxacin monoclonal antibody (ENR-Ab) was conjugated with AuNPs for the specific detection of ENR in milk samples. For sensitivity improvement, many optimization steps were conducted on LFIA test strips. The visual limit of detection (vLOD) was found to be 20 ng/ml with a cut-off value of 50 ng/ml in the milk samples. The obtained LOD and cut-off value were within the safety limit guidelines of the Ministry of food and drug safety, South Korea. The test strip showed negligible cross-reactivity with ENR analogs, and other components of antibiotics, this indicates the high specificity of the LFIA test strip towards ENR. The designed test strip showed good reliability. The visual test results can be seen within 10 min without the need for special equipment. Therefore, the test strip can be employed as a potential detection strategy for the qualitative on-site detection of enrofloxacin in milk samples.

Indexed as

biosensorenrofloxacin analogsgold nanoparticleslateral flow immunochromatographic assay (LFIA)rapid diagnosis strips

Identifiers

PMID36352902
PMCPMC9637957
OpenAlexW4307267487

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.