Evidence map›Paper›PMID 41919201›Full record

ArticleRSC advances2026

A terahertz metamaterial-based approach for detecting trace 1-naphthaleneacetic acid residues

Xiaodong Mao, Zhikai Huang, Tao Yang, Jun Hu

Abstract read
In one paragraph

Article in RSC advances, 2026. 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

4 authors.

Xiaodong MaoSchool of Mechatronics & Vehicle Engineering, East China Jiaotong University Nanchang Jiangxi 330013 PR China hujun_ecjtu@163.com.
Zhikai HuangSchool of Mechatronics & Vehicle Engineering, East China Jiaotong University Nanchang Jiangxi 330013 PR China hujun_ecjtu@163.com.
Tao YangSchool of Mechatronics & Vehicle Engineering, East China Jiaotong University Nanchang Jiangxi 330013 PR China hujun_ecjtu@163.com.
Jun HuSchool of Mechatronics & Vehicle Engineering, East China Jiaotong University Nanchang Jiangxi 330013 PR China hujun_ecjtu@163.com.ORCID https://orcid.org/0000-0003-0027-7993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive residues of 1-naphthaleneacetic acid (NAA) pose a potential threat to people's health. This research aims to develop a highly sensitive method for detecting NAA residues. By integrating terahertz metamaterial sensors with intelligent optimization algorithms, it is intended to achieve rapid and accurate detection of trace amounts of NAA. A terahertz metamaterial sensor based on a composite dual-peak structure with L-shaped resonant elements is introduced. Spectral data of different concentrations of NAA solutions were collected using terahertz time-domain spectroscopy (THz-TDS), and Animated Oat Optimization (AOO) was used to optimize the hyperparameters of the support vector regression (SVR) model, thereby constructing an AOO-SVR quantitative prediction model. Furthermore, by optimizing the spectral data dimension through five feature extraction algorithms, the model performance was further enhanced. The results showed that the RFE-AOO-SVR model performed the best in terms of prediction accuracy, with a correlation coefficient (

Identifiers

PMID41919201
PMCPMC13034143

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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.