Evidence map›Paper›PMID 37770672›Full record

ArticleBiological trace element research2024

Evaluation of Monochromatic Excitation X-ray Fluorescence Spectrometry for Rapid Thallium Detection in Biological Samples Using Animal Models.

Shihao Wu, Peng Zhao, Aihua Wang, Linpei Dong, Xiaojun Wu, Jifen Wang, Yunfeng Zhang

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Article in Biological trace element research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Shihao WuSchool of Investigation, People's Public Security University of China, Beijing, 100038, China.
Peng ZhaoInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
Aihua WangInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
Linpei DongInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
Xiaojun WuInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
Jifen WangSchool of Investigation, People's Public Security University of China, Beijing, 100038, China.
Yunfeng ZhangInstitute of Forensic Science, Ministry of Public Security, Beijing, 100038, China. yunfeng_2002@sohu.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monochromatic excitation X-ray fluorescence (ME-XRF) spectrometry is a novel technique for trace element analysis, characterized by its simplicity, rapidity, and low cost. The objective of this study was to evaluate the applicability of ME-XRF technique for the measurement of thallium in biological samples. Acute and subacute thallium poisoning experiments were conducted to simulate various scenarios, with blood, urine, and 10 distinct organs collected. Detection was initially performed using ME-XRF technique, followed by validation with inductively coupled plasma mass spectrometry (ICP-MS). Excellent agreement between ME-XRF and ICP-MS values was demonstrated by means of paired sample t-tests and intraclass correlation coefficients. Subsequently, the practical implementation of the proposed technique was demonstrated through an actual case study. In conclusion, this study validates ME-XRF as a suitable alternative to ICP-MS for the measurement of trace heavy metals in biological samples. These efforts promote the development of simpler and faster techniques for heavy metal detection, thereby presenting novel avenues for the prevention and diagnosis of heavy metal poisoning.

Indexed as

Spectrometry, X-Ray EmissionThalliumAnimalsMaleThalliumAnimal experimentElemental analysis techniqueParallel measurementsThallium poisoningX-ray fluorescence spectrometry

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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.