Evidence map›Paper›PMID 37860567›Full record

ArticleHeliyon2023

Validation of a new method for the detection of Ethyl glucuronide in larvae of

Alice Cerioni, Erika Buratti, Gianmario Mietti, Marta Cippitelli, Mariano Cingolani, Rino Froldi, Roberto Scendoni

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Alice CerioniForensic Medicine Laboratory, Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.
Erika BurattiForensic Medicine Laboratory, Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.
Gianmario MiettiForensic Medicine Laboratory, Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.
Marta CippitelliForensic Medicine Laboratory, Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.
Mariano CingolaniForensic Medicine Laboratory, Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.
Rino FroldiForensic Medicine Laboratory, Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.
Roberto ScendoniForensic Medicine Laboratory, Institute of Legal Medicine, University of Macerata, Via Don Minzoni 9, 62100 Macerata, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Larvae and insects are an important and alternative biological matrix in the development anpost-mortem forensic toxicology. They are very useful when conventional matrices are not available, in particular when the loss of biological fluids, due to the decomposition of corpses or to a traumatic death, occurs. The purpose of this study is to develop and validate an analytical method in Ultra High-Performance Liquid Chromatography at High Resolution Mass Spectrometry (HPLC/HR-MS) for the research and quantification of Ethyl glucuronide (EtG) on larvae. The criteria taken into consideration for the validation are linearity, quantitation limits (LOD and LLOQ), accuracy, precision, carryover, interferences and ionization suppression/enhancement. The method was shown to be linear within the tested range, with a coefficient of determination higher than 0.99. LOD was 2 pg mg

Indexed as

EntomotoxicologyEthanolEthyl glucuronideForensic toxicologyLarvaeUltra-high-performance liquid cromatography

Identifiers

PMID37860567
PMCPMC10582484

What OpenQuestion holds

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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.