Evidence map›Paper›PMID 34430734›Full record

ArticleHeliyon2021

Determination of antibiotic residues in milk and assessment of human health risk in Bangladesh.

Md Sahidur Rahman, Mohammad Mahmudul Hassan, Sharmin Chowdhury

Abstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

3 authors.

Md Sahidur RahmanOne Health Institute, Chattogram Veterinary and Animal Sciences University, Zakir Hossain Road, Khulshi, Chattogram, 4225, Bangladesh.
Mohammad Mahmudul HassanDepartment of Physiology, Biochemistry and Pharmacology, Chattogram Veterinary and Animal Sciences University, Zakir Hossain Road, Khulshi, Chattogram, 4225, Bangladesh.
Sharmin ChowdhuryOne Health Institute, Chattogram Veterinary and Animal Sciences University, Zakir Hossain Road, Khulshi, Chattogram, 4225, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumption of milk contaminated with antibiotic residues above the maximum residue limit (MRL) causes toxicity to humans and the development of superbugs that leads to the failure of antibiotic therapy and threatens human life. Moreover, long-duration exposure might alter the nature of gut microflora, resulting in the enhancement of many diseases. Therefore, our study aims to find out the residues level of selected antibiotics in milk and assessments of humans health risks. We examined 300 raw and processed milk samples using thin-layer chromatography (TLC) and ultra-high-performance liquid chromatography (UHPLC) methods against five veterinary antibiotics and assessed the health risk for consumers in Chattogram, Bangladesh. Risk analysis was done by using a hazard quotient based on 165 ml per capita milk consumption. We found a total of 7 % prevalence of antibiotic residues in raw milk, which were higher (8 %) in individual milk samples than the pooled samples (4 %). However, we did not find any antibiotic residues in processed milk. The mean concentration of oxytetracycline residue was detected at 61.29 μg/l, and amoxicillin was 124 μg/l in individual milk samples. Risk analysis showed that, the hazard quotient values are 0.0056 for oxytetracycline and 0.0017 for amoxicillin residues. This result implied no significant health risks associated with the consumption of milk produced and marketed in the study area. Our study might fill up the gaps of knowledge in measuring the safety status of milk regarding public health issues.

Indexed as

Antibiotic residueHuman healthMilkRisk assessmentTLCUHPLC

Identifiers

PMID34430734
PMCPMC8365374

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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.