Evidence map›Paper›PMID 39829574›Full record

ReviewACS omega2025

Advances in the Recovery of Critical Rare Dispersed Metals (Gallium, Germanium, Indium) from Urban Mineral Resources.

Daoguang Teng, Jiahui Wu, Qiyuan Ma, Wei Wang, Guoli Zhou, Guixia Fan, Yijun Cao, Peng Li

Abstract readReview
In one paragraph

Review in ACS omega, 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

8 authors.

Daoguang TengZhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou, 450001, China.ORCID https://orcid.org/0000-0001-9120-3070
Jiahui WuSchool of Chemical Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Qiyuan MaSchool of Chemical Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Wei WangZhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou, 450001, China.
Guoli ZhouSchool of Chemical Engineering, Zhengzhou University, Zhengzhou, 450001, China.
Guixia FanZhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou, 450001, China.
Yijun CaoZhongyuan Critical Metals Laboratory, Zhengzhou University, Zhengzhou, 450001, China.
Peng LiSchool of Chemical Engineering, Zhengzhou University, Zhengzhou, 450001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban mineral resources, with their significant recycling potential, have increasingly accumulated worldwide and become an important source for extracting valuable metals, particularly critical rare dispersed metals (CRDMs) such as gallium, germanium, and indium. As the electronics industry continues to grow rapidly, the demand for CRDMs is rising. However, CRDMs in primary mineral resources are often found in small, dispersed concentrations, making extraction challenging. In contrast, urban mineral resources contain relatively higher concentrations of CRDMs, making their comprehensive exploitation more advantageous than that of primary minerals. This paper underscores the importance of metal recycling by examining the current state of e-waste recycling from urban mineral resources in China. It outlines the general process of e-waste recycling, briefly compares the advantages and disadvantages of common metal recycling methods, and summarizes the current status of CRDMs recycling from various electronic wastes. Finally, this paper discusses the development trends and future prospects of metal recycling technology in urban minerals.

Identifiers

PMID39829574
PMCPMC11740153

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.