Evidence map›Paper›PMID 38524584›Full record

ArticleHeliyon2024

Simultaneous determination of 28 illegal drugs in sewage by high throughput online SPE-ISTD-UHPLC-MS/MS.

Shunqin Chen, Han Yang, Shan Zhang, Faze Zhu, Shan Liu, Huan Gao, Qing Diao, Wenbo Ding, Yuemeng Chen, Peng Luo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 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. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    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

11 authors.

Shunqin ChenDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou Province, 550001, China.
Han YangDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou Province, 550001, China.
Shan ZhangDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou Province, 550001, China.
Faze ZhuDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou Province, 550001, China.
Shan LiuGuiyang City Public Security Bureau Drug Testing Center, Guiyang, Guizhou Province, 550008, China.
Huan GaoGuiyang City Public Security Bureau Drug Testing Center, Guiyang, Guizhou Province, 550008, China.
Qing DiaoGuizhou Wanfu Xianyi Testing Technology Co., Ltd, Guiyang, Guizhou Province, 550009, China.
Wenbo DingGuizhou Wanfu Xianyi Testing Technology Co., Ltd, Guiyang, Guizhou Province, 550009, China.
Yuemeng ChenGuiyang City Public Security Bureau Drug Testing Center, Guiyang, Guizhou Province, 550008, China.
Peng LuoDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou Province, 550001, China.
Yubo LiuDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, Guizhou Province, 550001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed an online solid-phase extraction ultra-high performance liquid chromatography-tandem mass spectrometry (Online-SPE-UHPLC-MS/MS) method for the analysis of 28 illegal drugs in sewage. To achieve this, 28 isotope internal standards (ISTDs) were added to 3 mL sewage samples, the pH was adjusted to 7-8 using hydrochloric acid or 20% ammonia water, followed by centrifugation, filtration, and analysis using UHPLC-MS/MS. The results indicated an excellent linearity of 1-300 ng L

Indexed as

Illegal drugIsotope internal standardSewageSPE-UHPLC-MS/MS

Identifiers

PMID38524584
PMCPMC10957417

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.