Evidence map›Paper›PMID 31511800›Full record

ArticleJournal of nanomedicine & nanotechnology2019

Terahertz Reflectometry Imaging of Carbon Nanomaterials for Biological Application.

William Ghann, Hyeonggon Kang, Aunik K Rahman, Anis Rahman, Meser M Ali, Jamal Uddin

Abstract read
In one paragraph

Article in Journal of nanomedicine & nanotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

William GhannDepartment of Natural Sciences, Center for Nanotechnology, Coppin State University, 2500 W. North Ave, Baltimore, MD, USA.
Hyeonggon KangDepartment of Natural Sciences, Center for Nanotechnology, Coppin State University, 2500 W. North Ave, Baltimore, MD, USA.
Aunik K RahmanApplied Research & Photonics Inc., 470 Friendship Road, Suite 10, Harrisburg, PA 17111, USA.
Anis RahmanApplied Research & Photonics Inc., 470 Friendship Road, Suite 10, Harrisburg, PA 17111, USA.
Meser M AliCellular and Molecular Imaging Laboratory, Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA.
Jamal UddinDepartment of Natural Sciences, Center for Nanotechnology, Coppin State University, 2500 W. North Ave, Baltimore, MD, USA.

Funding

Treatment of glioma with nanocombretastatin with MRI monitoringR01CA206190 · NCI · HENRY FORD HEALTH SYSTEM · PI ALI, MESER M. · 2016 to 2019
$1.4M
NCI NIH HHS R01 CA206190
6 · The paper itself

Abstract

The multiwalled carbon nanotubes has a myriad of applications due to its unique electrical and mechanical properties. The biomedical application of multiwalled carbon nanotubes that have been reported include drug delivery, medical imaging, gene delivery, tissue regeneration, and diagnostics. Proper characterization is required to enhance the potential application of the multiwalled carbon nanotubes. Terahertz technology is a relatively unfamiliar spectrometric technique that show promise in efficiently characterizing multiwalled carbon nanotubes. In this paper, terahertz imaging was used to characterize multiwalled carbon nanotube in comparison with other characterization techniques, including transmission electron microscopy and field emission scanning electron microscopy. The average diameter of the carbon nanotubes from the reconstructed terahertz images was 48.54 nm, while the average length of a fiber was found to be approximately 1.2 μm. The multiwalled carbon nanotubes were additionally characterized by FTIR, Raman spectroscopy, and Energy-dispersive X-ray spectroscopy.

Indexed as

ImagingNanomaterialsNanotubes

Identifiers

PMID31511800
PMCPMC6738974

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.