Evidence map›Paper›PMID 38716266›Full record

ArticleAnalytical science advances2022

Toward a greener approach to detect inorganic arsenic using the Gutzeit method and X-ray fluorescence spectroscopy.

Helen Lin, Haochen Dai, Lili He

Abstract read
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Article in Analytical science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Role of the Sn-TiOACS applied materials & interfaces · 2024
    Article
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Helen LinDepartment of Food Science University of Massachusetts Amherst Massachusetts 01003 USA.
Haochen DaiDepartment of Food Science University of Massachusetts Amherst Massachusetts 01003 USA.
Lili HeDepartment of Food Science University of Massachusetts Amherst Massachusetts 01003 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inorganic arsenic is a carcinogen repeatedly found in water and foods threatening global human health. Prior work applied the Gutzeit method and X-ray fluorescence spectroscopy to quantify inorganic arsenic based on a harmful chemical, i.e., mercury bromide, to capture the arsine gas. In this project, we explored silver nitrate as an alternative to mercury bromide for the capture and detection of inorganic arsenic. To compare the performance of mercury bromide and silver nitrate, two standard curves were established in the range from 0 to 33.3 µg/L after optimization of reaction conditions such as the quantity of reagents and reaction time. Our result shows silver nitrate-based standard curve had a lower limit of detection and limit of quantification at 1.02 µg/L and 3.40 µg/L, respectively, as compared to the one built upon mercury bromide that has limit of detection of 4.86 µg/L and limit of quantification of 16.2 µg/L. The relative higher sensitivity when using silver nitrate was contributed by the less interfering elements for X-ray fluorescence analysis and thus lower background signals. A commercial apple juice was studied for matrix inference, and the results show 85%-99% recoveries and 7.4%-24.5% relative standard deviation. In conclusion, we demonstrated silver nitrate is a better choice in terms of safety restrictions and detection capability at lower inorganic arsenic concentrations.

Indexed as

gutzeit methodinorganic arsenicsilver nitrateX‐ray fluorescence spectroscopy

Identifiers

PMID38716266
PMCPMC10989649

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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.