Evidence map›Paper›PMID 39686293›Full record

ArticleSensors (Basel, Switzerland)2024

Analysis of Trace Heavy Metal in Solution Using Liquid Cathode Glow Discharge Spectroscopy.

Duixiong Sun, Xinrong Ma, Jiawei Chang, Guoding Zhang, Maogen Su, Marek Sikorski, Vincent Detalle, Xueshi Bai

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Duixiong SunKey Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
Xinrong MaKey Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
Jiawei ChangKey Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
Guoding ZhangKey Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.
Maogen SuKey Laboratory of Atomic and Molecular Physics & Functional Materials of Gansu Province, College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China.ORCID 0000-0001-5128-825X
Marek SikorskiFaculty of Chemistry, Adam Mickiewicz University, 61-614 Poznań, Poland.ORCID 0000-0002-9527-7322
Vincent DetalleCentre de Recherche et de Restauration des Musées de France (C2RMF), 75008 Paris, France.ORCID 0000-0002-2716-6057
Xueshi BaiCentre de Recherche et de Restauration des Musées de France (C2RMF), 75008 Paris, France.ORCID 0000-0003-3289-1795

Funding

CAS Western Light Young Scholars Pro-gram 22JR9KA030Gansu Province 2024 Young Doctoral Talent Support Program for Higher Educa-tion Institutions 2024QB-011Gansu Province Education Science and Technology Innovation Project 2021CYZC-22, 2023CYZC-19Gansu Provincial Science and Technology Specialist Project in 2024 24CXGA005Gansu Science and Technology Innovation Support Program for 2024 24CXGA005Lanzhou Talent Innovation and Entrepreneurship Project No. 2022-RC-72National Natural Science Foundation of China No. 12204103the Centrally Guided Local Development Funding Projects of China No. 23ZYQA293the French Ministry Research Programs: ESR ESPADON-PATRIMEX ANR-21-ESRE-00050
6 · The paper itself

Abstract

Heavy metal pollution, particularly from cadmium (Cd) and copper (Cu), poses significant environmental and health risks. To address the need for efficient, portable, and sensitive detection methods, this study introduces an improved atmospheric pressure glow discharge atomic emission spectrometry (APGD-AES) technique for quantifying Cd and Cu in water samples. The APGD-AES method offers key advantages, including low energy consumption (<33 W), high excitation energy, and compact design. The system was optimized for a discharge voltage of 550 V (Cd) and 570 V (Cu), a flow rate of 3.6 mL/min, and a solution pH of 1.0. Under these conditions, detection limits reached 16 µg/L for Cd and 1.3 µg/L for Cu. APGD-AES was tested on real water samples, including sewage and tap water, demonstrating compliance with national safety standards and comparable performance to graphite furnace atomic absorption spectrometry (GFAAS). This technique shows promise for real-time, on-site monitoring of trace heavy metals due to its portability, precision, and cost-efficiency.

Indexed as

atmospheric pressure glow dischargeatomic emission spectroscopydetection limitsewagetrace heavy metals

Identifiers

PMID39686293
PMCPMC11644957

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.