Evidence map›Paper›PMID 39981003›Full record

ArticleRSC advances2025

Development of a rapid sensor system for nitrate detection in water using enhanced Raman spectroscopy.

Xintao Xia, Guiyan Yang, Hongwu Tian, Fengjing Cao, Fan Luo, Daming Dong

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Xintao XiaSchool of Mechanical Engineering, Guangxi University Nanning China.
Guiyan YangResearch Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China miketian007@163.com.
Hongwu TianResearch Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China miketian007@163.com.ORCID https://orcid.org/0009-0009-2555-7263
Fengjing CaoResearch Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China miketian007@163.com.
Fan LuoSchool of Mechanical Engineering, Guangxi University Nanning China.
Daming DongResearch Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China miketian007@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrate is a primary source of nitrogen pollution in aquatic environments, making timely monitoring of its levels in surface and drinking water essential for environmental protection and public health. Conventional laboratory methods are time-consuming and require specialized expertise, while chemical electrode-based online detection systems are hindered by challenges-such as frequent calibration and ion cross-interference-which limits their suitability for long-term monitoring. To address these limitations, a novel nitrate detection method, utilizing an enhanced Raman spectroscopy device, was developed to rapidly detect nitrate in water. The incorporation of an optical feedback mechanism significantly improved detection sensitivity, achieving a detection limit of 2.89 mg per L N, with single sample analysis completed in under one minute. Furthermore, a compact and portable detection system was designed by integrating the Raman enhancement device with a handheld Raman spectrometer, which was successfully validated using real-world environmental water samples. The proposed nitrate detection system features a streamlined user design and user-friendly operation, offering an innovative approach for rapid water pollution detection and early warning. It also provides a foundation for establishing continuous online monitoring systems for water quality.

Identifiers

PMID39981003
PMCPMC11840477

What OpenQuestion holds

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Registered trials

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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.