Evidence map›Paper›PMID 40700149›Full record

ArticleJournal of xenobiotics2025

Rapid and Simplified Determination of Amphetamine-Type Stimulants Using One-Pot Synthesized Magnetic Adsorbents with Built-In pH Regulation Coupled with Liquid Chromatography-Tandem Mass Spectrometry.

Yabing Shan, Ying Chen, Jiayi Li, Xianbin Zeng, Rui Jia, Yuwei Liu, Dongmei Li, Di Chen

Abstract read
In one paragraph

Article in Journal of xenobiotics, 2025. 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. 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

8 authors.

Yabing ShanNational Narcotics Laboratory Beijing Regional Center, Beijing 100164, China.
Ying ChenNational Narcotics Laboratory Beijing Regional Center, Beijing 100164, China.
Jiayi LiNational Narcotics Laboratory Beijing Regional Center, Beijing 100164, China.
Xianbin ZengNational Narcotics Laboratory Beijing Regional Center, Beijing 100164, China.
Rui JiaNational Narcotics Laboratory Beijing Regional Center, Beijing 100164, China.
Yuwei LiuSchool of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Dongmei LiNational Narcotics Laboratory Beijing Regional Center, Beijing 100164, China.
Di ChenSchool of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-1303-8038

Funding

Beijing Science and Technology Plan Project Z241100009124009
6 · The paper itself

Abstract

backgroundAmphetamine-type stimulants (ATS) in water pose significant public health and ecological risks, necessitating reliable and efficient detection methods. Current approaches often involve time-consuming pH adjustments and post-processing steps, limiting their practicality for high-throughput analysis. This study aimed to develop a streamlined method integrating pH regulation and adsorption into a single material to simplify sample preparation and enhance analytical efficiency.

methodsA novel Fe

resultsThe method demonstrated exceptional linearity (R

conclusionsThis work presents a rapid, reliable, and user-friendly method for ATS detection in complex environmental matrices. The integration of pH regulation and adsorption into a single adsorbent significantly simplifies workflows while maintaining high sensitivity and precision. The technique holds promise for large-scale environmental monitoring and forensic toxicology, offering a practical solution for high-throughput analysis of emerging contaminants.

Indexed as

amphetamine-type stimulants (ATSs)built-in pH regulationliquid chromatography–tandem mass spectrometry (LC-MS/MS)magnetic adsorbentmagnetic solid-phase extraction (MSPE)one-pot grinding

Identifiers

PMID40700149
PMCPMC12286256

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.