Evidence map›Paper›PMID 37304227›Full record

ArticleAsian journal of pharmaceutical sciences2023

Corrugated surface microparticles with chitosan and levofloxacin for improved aerodynamic performance.

Chang-Soo Han, Ji-Hyun Kang, Eun Hye Park, Hyo-Jung Lee, So-Jeong Jeong, Dong-Wook Kim, Chun-Woong Park

Open access · diamondAbstract read
In one paragraph

Article in Asian journal of pharmaceutical sciences, 2023. 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
1.8field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  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

7 authors at 2 institutions in 1 country.

Chang-Soo HanCollege of Pharmacy, Chungbuk National University, Cheongju 28160, Republic of Korea.
Ji-Hyun KangCollege of Pharmacy, Chungbuk National University, Cheongju 28160, Republic of Korea.
Eun Hye ParkCollege of Pharmacy, Chungbuk National University, Cheongju 28160, Republic of Korea.
Hyo-Jung LeeCollege of Pharmacy, Chungbuk National University, Cheongju 28160, Republic of Korea.
So-Jeong JeongCollege of Pharmacy, Chungbuk National University, Cheongju 28160, Republic of Korea.
Dong-Wook KimCollege of Pharmacy, Wonkwang University, Iksan 54538, Republic of Korea.
Chun-Woong ParkCollege of Pharmacy, Chungbuk National University, Cheongju 28160, Republic of Korea.
Chungbuk National University · KRWonkwang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corrugated surface microparticles comprising levofloxacin (LEV), chitosan and organic acid were prepared using the 3-combo spray drying method. The amount and the boiling point of the organic acid affected the degree of roughness. In this study, we tried to improve the aerodynamic performance and increase aerosolization by corrugated surface microparticle for lung drug delivery efficiency as dry powder inhaler. HMP175 L20 prepared with 175 mmol propionic acid solution was corrugated more than HMF175 L20 prepared with 175 mmol formic acid solution. The ACI and PIV results showed a significant increase in aerodynamic performance of corrugated microparticles. The FPF value of HMP175 L20 was 41.3% ± 3.9% compared with 25.6% ± 7.7% of HMF175 L20. Corrugated microparticles also showed better aerosolization, decreased x-axial velocity, and variable angle. Rapid dissolution of drug formulations was observed

Indexed as

Aerodynamic performanceChitosanCorrugated surfaceLevofloxacinOrganic acid

Identifiers

PMID37304227
PMCPMC10248792
OpenAlexW4377194526

What OpenQuestion holds

Textmetadata
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.