Evidence map›Paper›PMID 38785714›Full record

ArticleBiosensors2024

Highly Sensitive Qualitative and Quantitative Identification of Cashmere and Wool Based on Terahertz Electromagnetically Induced Transparent Metasurface Biosensor.

Dongpeng Luo, Limin Xu, Lifeng Jia, Lianglun Cheng, Ping Tang, Jinyun Zhou

Abstract read
In one paragraph

Article in Biosensors, 2024. 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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.

Dongpeng LuoSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Limin XuKey Laboratory of Photonics Technology for Integrated Sensing and Communication of Ministry of Education, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0003-4240-0558
Lifeng JiaSchool of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China.
Lianglun ChengSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.
Ping TangSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0003-0694-1613
Jinyun ZhouSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Funding

Guangdong Province Key Area R&D Program: Key Technologies and Equipment for Ultra-high-speed Light-curing Additive Manufacturing of Non-metallic Materials 2020B090924001National Natural Science Foundation of China 62105071
6 · The paper itself

Abstract

Cashmere and wool are both natural animal fibers used in the textile industry, but cashmere is of superior quality, is rarer, and more precious. It is therefore important to distinguish the two fibers accurately and effectively. However, challenges due to their similar appearance, morphology, and physical and chemical properties remain. Herein, a terahertz electromagnetic inductive transparency (EIT) metasurface biosensor is introduced for qualitative and quantitative identification of cashmere and wool. The periodic unit structure of the metasurface consists of four rotationally symmetric resonators and two cross-arranged metal secants to form toroidal dipoles and electric dipoles, respectively, so that its effective sensing area can be greatly improved by 1075% compared to the traditional dipole mode, and the sensitivity will be up to 342 GHz/RIU. The amplitude and frequency shift changes of the terahertz transmission spectra caused by the different refractive indices of cashmere/wool can achieve highly sensitive label-free qualitative and quantitative identification of both. The experimental results show that the terahertz metasurface biosensor can work at a concentration of 0.02 mg/mL. It provides a new way to achieve high sensitivity, precision, and trace detection of cashmere/wool, and would be a valuable application for the cashmere industry.

Indexed as

Biosensing TechniquesWoolAnimalscashmere and woolelectromagnetic inductive transparencyqualitative and quantitativeterahertz metasurface biosensor

Identifiers

PMID38785714
PMCPMC11117794

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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.