Evidence map›Paper›PMID 39816824›Full record

ArticleFrontiers in parasitology2023

Analysis of insecticides in long-lasting insecticidal nets using X-ray fluorescence spectroscopy and correlation with bioefficacy.

Melanie Koinari, Nakei Bubun, David Wilson, Evodia Anetul, Lincoln Timinao, Petrina Johnson, Norelle L Daly, Moses Laman, Tim Freeman, Stephan Karl

Abstract read
In one paragraph

Article in Frontiers in parasitology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Melanie KoinariAustralian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, Australia.
Nakei BubunVector-borne Disease Unit, Papua New Guinea Institute of Medical Research, Madang, Madang, Papua New Guinea.
David WilsonAustralian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, Australia.
Evodia AnetulVector-borne Disease Unit, Papua New Guinea Institute of Medical Research, Madang, Madang, Papua New Guinea.
Lincoln TiminaoVector-borne Disease Unit, Papua New Guinea Institute of Medical Research, Madang, Madang, Papua New Guinea.
Petrina JohnsonAustralian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, Australia.
Norelle L DalyAustralian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, Australia.
Moses LamanVector-borne Disease Unit, Papua New Guinea Institute of Medical Research, Madang, Madang, Papua New Guinea.
Tim FreemanMalaria Control Program, Rotarians Against Malaria Papua New Guinea, Port Moresby, Papua New Guinea.
Stephan KarlAustralian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long-lasting insecticidal nets (LLINs) are a key vector control tool used for the prevention of malaria. Active ingredient (AI) measurements in LLINs are essential for evaluating their quality and efficacy. The main aim of the present study was to determine the utility of X-ray fluorescence (XRF) spectroscopy as a suitable field-deployable tool for total AI quantification in LLINs. Methods: New and unused LLIN samples containing deltamethrin (PermaNet® 2.0, Results: The results indicate correlation between quantitative XRF and LC-MS. Interestingly, the total AI content was negatively correlated with bioefficacy in PermaNet® 2.0 (especially in recently manufactured nets). In contrast, AI content was positively correlated with bioefficacy in SafeNet®. These results indicate that the chemical content analysis in predelivery inspections does not always predict bioefficacy. Conclusion: XRF is a promising field-deployable tool for quantification of both deltamethrin- and alpha-cypermethrin-coated LLINs. Because total AI content is not always a predictor of the efficacy of LLINs to kill mosquitoes, bioefficacy measurements should be included in predelivery inspections.

Indexed as

alpha cypermethrinbednetsdeltamethrininsecticide contentITNsliquid chromatography-mass spectroscopy (LC-MS)LLINXRF

Identifiers

PMID39816824
PMCPMC11732067

What OpenQuestion holds

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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.