Evidence map›Paper›PMID 41410244›Full record

ArticleAnalytical chemistry2026

Specificity of Arsenic Stress Detection by Raman Spectroscopy During Co-Occurrences of Nitrogen Deficiency and Narrow Brown Leaf Spot.

Isaac D Juárez, Myles Russwurm, Sabin Khanal, Sudip Biswas, Endang M Septiningsih, Xin-Gen Shane Zhou, Dmitry Kurouski

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. 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

7 authors.

Isaac D JuárezDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Myles RusswurmDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Sabin KhanalTexas A&M AgriLife Research Center, Beaumont, Texas 77713, United States.
Sudip BiswasDepartment of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843, United States.
Endang M SeptiningsihDepartment of Soil and Crop Sciences, Texas A&M University, College Station, Texas 77843, United States.
Xin-Gen Shane ZhouTexas A&M AgriLife Research Center, Beaumont, Texas 77713, United States.
Dmitry KurouskiDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-6040-4213

Funding

Regulatory Science in Environmental Health and ToxicologyT32ES026568 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu, Natalie M Johnson · 2016 to 2026
$3.8M
NIEHS NIH HHS T32 ES026568
6 · The paper itself

Abstract

Arsenic contamination in rice poses a potential health risk to populations dependent on their daily consumption. Previous work has shown that Raman spectroscopy is capable of nondestructively diagnosing arsenic uptake in rice; however, its diagnostic specificity in cases of concurrent abiotic and biotic stress remains unclear. As Raman spectroscopy relies on the detection of arsenic-induced stress patterns for diagnosis, the presence of additional stressors could potentially compromise diagnostic reliability. To address this gap, we evaluated the ability of Raman spectroscopy to detect arsenic uptake in the presence of both nitrogen deficiency (abiotic stress) and narrow brown leaf spot (biotic stress) across two Experiments. We found that nitrogen deficiency, while more severe than arsenic stress, did not affect arsenic detection. We also found that the diagnostic accuracy for both abiotic stressors (arsenic and nitrogen deficiency) depended on the plant growth stage, with arsenic detection being most reliable immediately after transplantation and nitrogen deficiency becoming more distinguishable as stress severity increased. Narrow brown leaf spot, though exhibiting minimal symptoms, remained sufficiently detectable. Altogether, these findings demonstrate that Raman spectroscopy remains a reliable method for diagnosing arsenic uptake and assessing overall rice health, even in the presence of additional stressors.

Indexed as

ArsenicNitrogenOryzaPlant LeavesSpectrum Analysis, RamanStress, PhysiologicalArsenicNitrogen

Identifiers

PMID41410244
PMCPMC12809705

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.