Evidence map›Paper›PMID 32874832›Full record

ArticleActa pharmaceutica Sinica. B2020

Novel approach for real-time monitoring of carrier-based DPIs delivery process

Xuejuan Zhang, Yingtong Cui, Ruifeng Liang, Guanlin Wang, Xiao Yue, Ziyu Zhao, Zhengwei Huang, Ying Huang, Jianfang Geng, Xin Pan and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-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

4 citing papers in PubMed, 22 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Xuejuan ZhangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Yingtong CuiSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Ruifeng LiangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Guanlin WangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Xiao YueSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Ziyu ZhaoSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Zhengwei HuangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Ying HuangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Jianfang GengSympatec GmbH Suzhou Rep. Office, Suzhou 215123, China.
Xin PanSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Chuanbin WuSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Sun Yat-sen University · CNGuangdong University of Technology · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An explicit illustration of pulmonary delivery processes (PDPs) was a prerequisite for the formulation design and optimization of carrier-based DPIs. However, the current evaluation approaches for DPIs could not provide precise investigation of each PDP separately, or the approaches merely used a simplified and idealized model. In the present study, a novel modular modified Sympatec HELOS (MMSH) was developed to fully investigate the mechanism of each PDP separately in real-time. An inhaler device, artificial throat and pre-separator were separately integrated with a Sympatec HELOS. The dispersion and fluidization, transportation, detachment and deposition processes of pulmonary delivery for model DPIs were explored under different flow rates. Moreover, time-sliced measurements were used to monitor the PDPs in real-time. The Next Generation Impactor (NGI) was applied to determine the aerosolization performance of the model DPIs. The release profiles of the drug particles, drug aggregations and carriers were obtained by MMSH in real-time. Each PDP of the DPIs was analyzed in detail. Moreover, a positive correlation was established between the total release amount of drug particles and the fine particle fraction (FPF) values (

Indexed as

a, accelerationACI, Anderson Cascade ImpactorAir flow rateAPIs, active pharmaceutical ingredientsCarrierCFD-DEM, computational fluid dynamics-discrete element methodCIA, cascade impactor analysisCopt, optical concentrationdae, aerodynamic diameterDPIs, dry powder inhalationsdQ3, the volume percentage of particles within certain rangeDry powder inhalationED, emitted doseEDXS, energy-dispersive X-ray spectroscopyFC, centrifugal forceFD, drag forceFF, friction forceFG, gravityFI, interaction forceFPD, fine particle doseFPF, fine particle fractionHPLC, high performance liquid chromatographyHPMC, hydroxy propyl methyl celluloseLAC, lactose carrierMechanism of drug deliveryMFV, minimum fluidization velocityMMAD, mass median aerodynamic diameterMMSH, modular modified Sympatec HELOsMOC, micro orifice collectorModular modificationMSS, micronized salbutamol sulfateNGI, Next Generation ImpactorO, oxygenPDP, pulmonary delivery processPulmonary delivery processRAUC, total release amountReal-time monitoringRmax, maximum of release amountR, release amountSEM, scanning electron microscopeS, stopping distanceTmax, the time to RmaxTt, terminal timeU0, air flow rateV0, velocity

Identifiers

PMID32874832
PMCPMC7452036
OpenAlexW3009203987

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.