Evidence map›Paper›PMID 39181900›Full record

ArticleNature communications2024

Trace element detection in anhydrous minerals by micro-scale quantitative nuclear magnetic resonance spectroscopy.

Yunhua Fu, Renbiao Tao, Lifei Zhang, Shijie Li, Ya-Nan Yang, Dehan Shen, Zilong Wang, Thomas Meier

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. A whole-scale volatile-depleted lunar interior.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. 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

8 authors.

Yunhua FuSchool of Earth and Space Sciences, Peking University, Beijing, China.
Renbiao TaoCenter for High-Pressure Science and Technology Advance Research, Beijing, China. renbiao.tao@hpstar.ac.cn.ORCID http://orcid.org/0000-0003-4797-5211
Lifei ZhangSchool of Earth and Space Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-5118-8811
Shijie LiCenter for Lunar and Planetary Sciences, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China.
Ya-Nan YangState Key Laboratory of Isotope Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China.ORCID http://orcid.org/0000-0001-7677-9696
Dehan ShenCenter for Lunar and Planetary Sciences, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China.
Zilong WangSchool of Earth and Space Sciences, Peking University, Beijing, China.
Thomas MeierCenter for High-Pressure Science and Technology Advance Research, Beijing, China. thomas.meier@hpstar.ac.cn.ORCID http://orcid.org/0000-0003-4722-803X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42150101
6 · The paper itself

Abstract

Nominally anhydrous minerals (NAMs) composing Earth's and planetary rocks incorporate microscopic amounts of volatiles. However, volatile distribution in NAMs and their effect on physical properties of rocks remain controversial. Thus, constraining trace volatile concentrations in NAMs is tantamount to our understanding of the evolution of rocky planets and planetesimals. Here, we present an approach of trace-element quantification using micro-scale Nuclear Magnetic Resonance (NMR) spectroscopy. This approach employs the principle of enhanced mass-sensitivity in NMR microcoils. We were able to demonstrate that this method is in excellent agreement with standard methods across their respective detection capabilities. We show that by simultaneous detection of internal reference nuclei, the quantification sensitivity can be substantially increased, leading to quantifiable trace volatile element amounts of about 50 ng/g measured in a micro-meter sized single anorthitic mineral grain, greatly enhancing detection capabilities of volatiles in geologically important systems.

Identifiers

PMID39181900
PMCPMC11344839

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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.