Evidence map›Paper›PMID 39650843›Full record

ArticleRSC advances2024

Nazifi Sani Shuaibu, Gaosheng Zhao, Fengjian Chu, Balarabe Bilyaminu Ismail, Aso Ali Abdalmohammed Shateri, Anas Abdullahi Muhammad, Ammar Muhammad Ibrahim, Musbahu Garba Indabawa, Xiaozhi Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 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

9 authors.

Nazifi Sani ShuaibuZhejiang University College of Information Science and Electronic Engineering Hangzhou 310027 Zhejiang Province China xw224@zju.edu.cn.ORCID https://orcid.org/0009-0008-8853-554X
Gaosheng ZhaoShanghai University School of Environmental and Chemical Engineering Shanghai 200444 China zgs571@shu.edu.cn.ORCID https://orcid.org/0000-0002-9779-7751
Fengjian ChuZhejiang University College of Information Science and Electronic Engineering Hangzhou 310027 Zhejiang Province China xw224@zju.edu.cn.ORCID https://orcid.org/0000-0002-3577-1919
Balarabe Bilyaminu IsmailDepartment of Food Science and Technology, Faculty of Agriculture, Bayero University Kano PMB 3011 Kano Nigeria.
Aso Ali Abdalmohammed ShateriZhejiang University College of Information Science and Electronic Engineering Hangzhou 310027 Zhejiang Province China xw224@zju.edu.cn.
Anas Abdullahi MuhammadDepartment of Welding and Fabrication, Kano State Polytechnic Kano Kano State Nigeria.
Ammar Muhammad IbrahimDepartment of Electrical Engineering, Aliko Dangote University of Science and Technology Wudil Kano State 713101 Nigeria.
Musbahu Garba IndabawaDepartment of Electrical Engineering, Aliko Dangote University of Science and Technology Wudil Kano State 713101 Nigeria.
Xiaozhi WangZhejiang University College of Information Science and Electronic Engineering Hangzhou 310027 Zhejiang Province China xw224@zju.edu.cn.ORCID https://orcid.org/0000-0002-4290-9023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water scarcity is a global concern that needs addressing through alternative sources. One of the approaches is the use of reclaimed water for irrigation. However, the presence of halogenated compounds and heavy metals in reclaimed water poses significant food safety threats. Therefore, a comprehensive characterization of these contaminants using a reliable method is essential. This study presents an innovative analytical technique that combines electrospray ionization (ESI) with microwave plasma ionization mass spectrometry (MPIMS), enabling the simultaneous detection of organic compounds and heavy metals. The plasma ionization process in metals exhibits novel features, unlike traditional methods, making it suitable for organic and metallic detection in complex matrices. This technique achieved a recovery rate of 78.5-123% and 79.93-119.50% for halogenated compounds and heavy metals, respectively. The limits of detection and quantification ranged from 1.5 ng mL

Identifiers

PMID39650843
PMCPMC11622783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.