Evidence map›Paper›PMID 28580428›Full record

ArticleACS sensors2017

Peptide-Mediated Nanopore Detection of Uranyl Ions in Aqueous Media.

Golbarg M Roozbahani, Xiaohan Chen, Youwen Zhang, Ruiqi Xie, Rui Ma, Dien Li, Huazhong Li, Xiyun Guan

Abstract read
In one paragraph

Article in ACS sensors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Probe-assisted detection of FeBiosensors & bioelectronics · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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.

Golbarg M RoozbahaniDepartment of Chemistry, Illinois Institute of Technology, 3101 South Dearborn Street, Chicago, Illinois 60616, United States.
Xiaohan ChenDepartment of Chemistry, Illinois Institute of Technology, 3101 South Dearborn Street, Chicago, Illinois 60616, United States.
Youwen ZhangDepartment of Chemistry, Illinois Institute of Technology, 3101 South Dearborn Street, Chicago, Illinois 60616, United States.
Ruiqi XieDepartment of Chemistry, Illinois Institute of Technology, 3101 South Dearborn Street, Chicago, Illinois 60616, United States.
Rui MaDepartment of Chemistry, Illinois Institute of Technology, 3101 South Dearborn Street, Chicago, Illinois 60616, United States.
Dien LiEnvironmental Sciences and Biotechnology, Savannah River National Laboratory, Aiken, South Carolina 29808, United States.
Huazhong LiHenan Jintai Biological Technology Co., Ltd., ZhengZhou, Henan, 450016, PR China.
Xiyun GuanDepartment of Chemistry, Illinois Institute of Technology, 3101 South Dearborn Street, Chicago, Illinois 60616, United States.

Funding

Label-Free Nanopore Biosensor for Rapid, Ultrasensitive, and Multiplex Detection of Protease ActivitiesR15GM110632 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI GUAN, XIYUN · 2014 to 2017
$746k
NIGMS NIH HHS R15 GM110632
6 · The paper itself

Abstract

Uranium is one of the most common radioactive contaminants in the environment. As a major nuclear material in production, environmental samples (like soil and groundwater) can provide signatures on uranium production activity inside the facility. Thus, developing a new and portable analytical technology for uranium in aqueous media is significant not only for environmental monitoring, but also for nonproliferation. In this work, a label-free method for the detection of uranyl (UO

Indexed as

biosensorchelationnanopore sensingpeptideuranyl ion

Identifiers

PMID28580428
PMCPMC5450019

What OpenQuestion holds

Textmetadata
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.