Evidence map›Paper›PMID 36855369›Full record

ArticleVeterinary world2023

A novel portable Raman scattering platform for antibiotic screening in pig urine.

Nungnit Wattanavichean, On-Uma Nimittrakoolchai, Noppadon Nuntawong, Mati Horprathum, Pitak Eiamchai, Saksorn Limwichean, Pacharamon Somboonsaksri, Donruethai Sreta, Sirilak Meesuwan

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Article in Veterinary world, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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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

9 authors at 3 institutions in 2 countries.

Nungnit WattanavicheanSchool of Materials Science and Innovation, Faculty of Science, Mahidol University, Phutthamonthon, Nakhon Pathom, Thailand.
On-Uma NimittrakoolchaiSchool of Materials Science and Innovation, Faculty of Science, Mahidol University, Phutthamonthon, Nakhon Pathom, Thailand.
Noppadon NuntawongNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Khlong Luang, Pathum Thani, Thailand.
Mati HorprathumNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Khlong Luang, Pathum Thani, Thailand.
Pitak EiamchaiNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Khlong Luang, Pathum Thani, Thailand.
Saksorn LimwicheanNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Khlong Luang, Pathum Thani, Thailand.
Pacharamon SomboonsaksriNational Electronics and Computer Technology Center, National Science and Technology Development Agency, Khlong Luang, Pathum Thani, Thailand.
Donruethai SretaFaculty of Veterinary Medicine, Rajamangala University of Technology Tawan-ok, Sriracha, Chonburi, Thailand.
Sirilak MeesuwanFaculty of Veterinary Medicine, Rajamangala University of Technology Tawan-ok, Sriracha, Chonburi, Thailand.
National Science and Technology Development Agency · THMahidol University · THRajamangala University of Technology Tawan-ok · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Public health and food safety are gaining attention globally. Consumer health can be protected from chemical residues in meat by early detection or screening for antibiotic residues before selling the meat commercially. However, conventional practices are normally applied after slaughtering, which leads to massive business losses. This study aimed to use portable surface-enhanced Raman spectroscopy (SERS) equipped with multivariate curve resolution-alternation least squares (MCR-ALS) to determine the concentrations of enrofloxacin, oxytetracycline, and neomycin concentrations. This approach can overcome the problems of business loss, costs, and time-consumption, and limit of detection (LOD). Materials and Methods: Aqueous solutions of three standard antibiotics (enrofloxacin, oxytetracycline, and neomycin) with different concentrations were prepared, and the LOD for each antibiotic solution was determined using SERS. Extracted pig urine was spiked with enrofloxacin at concentrations of 10, 20, 50, 100, and 10,000 ppm. These solutions were investigated using SERS and MCR-ALS analysis. Urine samples from pigs at 1 and 7 days after enrofloxacin administration were collected and investigated using SERS and MCR-ALS to differentiate the urinary enrofloxacin concentrations. Results: The LOD of enrofloxacin, oxytetracycline, and neomycin in aqueous solutions were 0.5, 2.0, and 100 ppm, respectively. Analysis of enrofloxacin spiking in pig urine samples demonstrated the different concentrations of enrofloxacin at 10, 20, 50, 100, and 10,000 ppm. The LOD of spiking enrofloxacin was 10 ppm, which was 10 times lower than the regulated value. This technique was validated for the first time using urine collected on days 1 and 7 after enrofloxacin administration. The results revealed a higher concentration of enrofloxacin on day 7 than on day 1 due to consecutive administrations. The observed concentration of enrofloxacin was closely correlated with its circulation time and metabolism in pigs. Conclusion: A combination of SERS sensing platform and MCR-ALS is a promising technique for on-farming screening. This platform can increase the efficiency of antibiotic detection in pig urine at lower costs and time. Expansion and fine adjustments of the Raman dataset may be required for individual farms to achieve higher sensitivity.

Indexed as

antibioticspigRaman spectroscopyurine

Identifiers

PMID36855369
PMCPMC9967727
OpenAlexW4318420695

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LicenceCC BY
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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.