Evidence map›Paper›PMID 39641114›Full record

ArticleFood chemistry: X2024

Efficient voltammetric analysis for total inorganic arsenic detection in rice with enhanced sensitivity and selectivity.

Wei Tian, Jiawei Guo, Songxue Wang, Minghui Zhou, Yingjie He, Xingjun Xi, Xi Chen, Yue Wang, Yanxiang Wu, Jieqiong Zhang

Abstract read
In one paragraph

Article in Food chemistry: X, 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

10 authors.

Wei TianAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Jiawei GuoChina National Institute of Standardization, Beijing 100191, China.
Songxue WangAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Minghui ZhouAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Yingjie HeAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Xingjun XiChina National Institute of Standardization, Beijing 100191, China.
Xi ChenAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Yue WangAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Yanxiang WuAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Jieqiong ZhangAcademy of National Food and Strategic Reserves Administration, Beijing 100037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid, simple, and accurate voltammetric method for quantifying total inorganic arsenic in rice was described in this work. The simplified sample pretreatment involved the addition of a mixed solution of nitric acid and L-cysteine, which facilitated the simultaneous extraction and speciation of arsenic (As(III)). To eliminate interference from complex rice matrices, magnetic composites were employed to absorb copper and other potential interference. Furthermore, As(III) was detected using linear stripping voltammetry with screen-printed electrodes modified in-situ with gold nanoparticles and L-cysteine, enhancing both sensitivity and selectivity. With this strategy, the methodology demonstrated good resistance to interference and high sensitivity, with a detection limit of 0.018 mg/kg. A comparative analysis between this method and liquid chromatography coupled with inductively coupled plasma mass spectrometry (ICP-MS) showed a good correlation with an R

Indexed as

Eliminate interferenceInorganic arsenicModified-screen-printed electrodesRiceVoltammetry

Identifiers

PMID39641114
PMCPMC11617688

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.