Evidence map›Paper›PMID 38338391›Full record

ArticleMolecules (Basel, Switzerland)2024

Terahertz Time-Domain Spectroscopic Characteristics of Typical Metallic Minerals.

Jingjing Zhang, Haochong Huang, Pengbo Zhao, Luyong Xu, Zhenbo Tan, Jinyuan Zhao, Enhui Yuan, Zhiyuan Zheng, Shanshan Li, Xinyu Li and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. 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

11 authors.

Jingjing ZhangSchool of Science, China University of Geosciences (Beijing), Beijing 100083, China.
Haochong HuangSchool of Science, China University of Geosciences (Beijing), Beijing 100083, China.
Pengbo ZhaoSchool of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China.
Luyong XuSchool of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China.
Zhenbo TanSchool of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China.
Jinyuan ZhaoSchool of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China.
Enhui YuanSchool of Science, China University of Geosciences (Beijing), Beijing 100083, China.
Zhiyuan ZhengSchool of Science, China University of Geosciences (Beijing), Beijing 100083, China.
Shanshan LiSchool of Science, China University of Geosciences (Beijing), Beijing 100083, China.
Xinyu LiSchool of Science, China University of Geosciences (Beijing), Beijing 100083, China.
Kunfeng QiuSchool of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China.ORCID 0000-0002-3185-9446

Funding

Fundamental Research Funds for the Central Universities 2-9-2022-203, 2652019107, 2652020032Innovation and Entrepreneurship Training Program for University Students S202311415161National Natural Science Foundation of China 61805214Open Fund of State Key Laboratory of Infrared Physics SITP-NLIST-YB-2022-12Piesat Information Technology Remote Sensing Interdisciplinary Research Project HTHT202202Young Elite Scientist Sponsorship Program by Bast BYESS2020037
6 · The paper itself

Abstract

Accurate identification and understanding of various metallic minerals are crucial for deciphering geological formations, structures, and ages. Giving their pivotal role as essential natural resources, a microscopic exploration of metallic minerals becomes imperative. Traditional analytical methods, while helpful, exhibit certain limitations. However, terahertz time-domain spectroscopy, distinguished by its high signal-to-noise ratio, expansive frequency band, and low incident wave energy, is a promising complement to conventional techniques in characterizing metallic minerals. This study employs terahertz time-domain spectroscopy to examine samples of Stibnite, Sphalerite, Galena, and Pyrite originating from diverse geological conditions. The vibrations of molecules within these metallic minerals induce discernible changes in the terahertz spectra. Our findings untiate the extensive potential of terahertz time-domain spectroscopy in the characterization of metallic minerals, affirming its considerable practical value in mineral resource exploration.

Indexed as

lithologymetallic mineralsquantitative analysisspectral characterizationterahertz time-domain spectroscopy

Identifiers

PMID38338391
PMCPMC10856338

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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.