Evidence map›Paper›PMID 31363913›Full record

ArticleNanoscale research letters2019

One-Step Synthesis of Nitrogen-Doped Hydrophilic Mesoporous Carbons from Chitosan-Based Triconstituent System for Drug Release.

Xianshu Wang, Hongyan Pan, Qian Lin, Hong Wu, Shuangzhu Jia, Yongyong Shi

Open access · goldAbstract read
In one paragraph

Article in Nanoscale research letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

Xianshu WangSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, Guizhou, People's Republic of China.
Hongyan PanSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, Guizhou, People's Republic of China.
Qian LinSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, Guizhou, People's Republic of China. celinqianphy@163.com.
Hong WuSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, Guizhou, People's Republic of China.
Shuangzhu JiaSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, Guizhou, People's Republic of China.
Yongyong ShiSchool of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, Guizhou, People's Republic of China.
Guizhou University · CN

Funding

Guizhou Science and Technology Department Grant No.(2017)7254.
6 · The paper itself

Abstract

In situ nitrogen-doped hydrophilic mesoporous carbon spheres with different carbon-to-silicon (C/Si) ratios (NMCs-x/3, x = 5, 6, 7, and 8) were prepared by one-step method coupled with a spray drying and carbonizing technique, in which triblock copolymer (F127) and tetraethyl orthosilicate (TEOS) were used as template agents, and biocompatible chitosan (CS) was used as the carbon source and nitrogen source. These carbon materials were characterized by TG, BET, XRD, Raman, FTIR, TEM, XPS, and contact angle measuring device. The adsorption and release properties of mesoporous carbon materials for the poorly soluble antitumor drug hydroxycamptothecin (HCPT) were investigated. Results showed that nanospherical mesoporous carbon materials were successfully prepared with high specific surface area (2061.6 m

Indexed as

ChitosanDrug delivery carrierHydrophilicityHydroxycamptothecinNitrogen-doped mesoporous carbon spheres

Identifiers

PMID31363913
PMCPMC6667578
OpenAlexW2965891442

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.