Evidence map›Paper›PMID 40853497›Full record

ArticleEnvironmental geochemistry and health2025

Arsenic speciation using HPLC-ICP-MS in white and brown rice and health risk assessment.

Raneesha Navaretnam, Ahmad Zaharin Aris, Muhammad Faizan A Shukor, Mohd Nor Faiz Norrrahim, Victor Feizal Knight, Teen Teen Chin, Noorain Mohd Isa, Ley Juen Looi

Abstract read
In one paragraph

Article in Environmental geochemistry and health, 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. 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

8 authors.

Raneesha NavaretnamDepartment of Environmental Science and Technology, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Ahmad Zaharin ArisDepartment of Environmental Science and Technology, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Muhammad Faizan A ShukorResearch Centre for Chemical Defence, Universiti Pertahanan Nasional Malaysia, Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia.
Mohd Nor Faiz NorrrahimResearch Centre for Chemical Defence, Universiti Pertahanan Nasional Malaysia, Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia.
Victor Feizal KnightResearch Centre for Chemical Defence, Universiti Pertahanan Nasional Malaysia, Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia.
Teen Teen ChinALS Technichem (M) Sdn Bhd., Wisma ALS, No. 21, Jalan Astaka U8/84, Bukit Jelutong, 40150, Shah Alam, Selangor, Malaysia.
Noorain Mohd IsaDepartment of Environmental Science and Technology, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Ley Juen LooiDepartment of Environmental Science and Technology, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. leyjuenlooi@upm.edu.my.

Funding

Ministry of Higher Education (MOHE) Malaysia FRGS/1/2020/STG04/UPM/02/17
6 · The paper itself

Abstract

Arsenic (As) contamination in rice poses significant health risks due to the toxicity of certain arsenicals. This study presents an improved, time-efficient method for quantifying arsenite (As

Indexed as

ArsenicArsenicalsFood ContaminationOryzaChromatography, High Pressure LiquidHumansMass SpectrometryRisk AssessmentArsenicArsenicalsHPLCICP-MSInorganic arsenicRiceRisk assessmentSpeciation analysis

Identifiers

PMID40853497
PMCPMC12378713

What OpenQuestion 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 OpenQuestion graph.