Evidence map›Paper›PMID 32575642›Full record

ReviewNanomaterials (Basel, Switzerland)2020

Recent Advances in Applications of Carbon Nanotubes for Desalination: A Review.

Ruiqian Wang, Dinghao Chen, Qi Wang, Yibin Ying, Weilu Gao, Lijuan Xie

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
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.

Ruiqian WangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Dinghao ChenCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Qi WangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Yibin YingCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Weilu GaoDepartment of Electrical and Computer Engineering, Rice University, Houston, TX 77251-1892, USA.
Lijuan XieCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.

Funding

the National Science Foundation of Zhejiang Province for Distinguishied Young Scholars No. LR18C130001
6 · The paper itself

Abstract

As a sustainable, cost-effective and energy-efficient method, membranes are becoming a progressively vital technique to solve the problem of the scarcity of freshwater resources. With these critical advantages, carbon nanotubes (CNTs) have great potential for membrane desalination given their high aspect ratio, large surface area, high mechanical strength and chemical robustness. In recent years, the CNT membrane field has progressed enormously with applications in water desalination. The latest theoretical and experimental developments on the desalination of CNT membranes, including vertically aligned CNT (VACNT) membranes, composited CNT membranes, and their applications are timely and comprehensively reviewed in this manuscript. The mechanisms and effects of CNT membranes used in water desalination where they offer the advantages are also examined. Finally, a summary and outlook are further put forward on the scientific opportunities and major technological challenges in this field.

Indexed as

carbon nanotube (CNT)desalinationeffectmechanismmembrane

Identifiers

PMID32575642
PMCPMC7353087

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.