Evidence map›Paper›PMID 31817930›Full record

ArticlePharmaceutics2019

Using a Material Library to Understand the Impacts of Raw Material Properties on Ribbon Quality in Roll Compaction.

Jiaqi Yu, Bing Xu, Kunfeng Zhang, Chenfeng Shi, Zhiqiang Zhang, Jing Fu, Yanjiang Qiao

Abstract read
In one paragraph

Article in Pharmaceutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Jiaqi YuDepartment of Chinese Medicine Information Science, Beijing University of Chinese Medicine, Beijing 100029, China.
Bing XuDepartment of Chinese Medicine Information Science, Beijing University of Chinese Medicine, Beijing 100029, China.
Kunfeng ZhangDepartment of Chinese Medicine Information Science, Beijing University of Chinese Medicine, Beijing 100029, China.
Chenfeng ShiDepartment of Chinese Medicine Information Science, Beijing University of Chinese Medicine, Beijing 100029, China.
Zhiqiang ZhangBeijing Key Laboratory of Chinese Medicine Manufacturing Process Control and Quality Evaluation, Beijing 100029, China.
Jing FuBeijing Key Laboratory of Chinese Medicine Manufacturing Process Control and Quality Evaluation, Beijing 100029, China.
Yanjiang QiaoDepartment of Chinese Medicine Information Science, Beijing University of Chinese Medicine, Beijing 100029, China.

Funding

Beijing University of Chinese Medicine No.2019-JYB-JS-015
6 · The paper itself

Abstract

The purpose of this study is to use a material library to investigate the effect of raw material properties on ribbon tensile strength (TS) and solid fraction (SF) in the roll compaction (RC) process. A total of 81 pharmaceutical materials, including 53 excipients and 28 natural product powders (NPPs), were characterized by 22 material descriptors and were compacted under five different hydraulic pressures. The transversal and longitudinal splitting behaviors of the ribbons were summarized. The TS-porosity and TS-pressure relationships were used to explain the roll compaction behavior of powdered materials. Through defining the target ribbon quality (i.e., 0.6 ≤ SF ≤ 0.8 and TS ≥ 1 MPa), the roll compaction behavior classification system (RCBCS) was built and 81 materials were classified into three categories. A total of 24 excipients and five NPPs were classified as Category I materials, which fulfilled the target ribbon quality and had less occurrence of transversal splitting. Moreover, the multivariate relationships between raw material descriptors, the hydraulic pressure and ribbon quality attributes were obtained by PLS regression. Four density-related material descriptors and the cohesion index were identified as critical material attributes (CMAs). The multi-objective design space summarizing the feasible material properties and operational region for the RC process were visualized. The RCBCS presented in this paper enables a formulator to perform the initial risk assessment of any new materials, and the data modeling method helps to predict the impact of formulation ingredients on strength and porosity of compacts.

Indexed as

design spacelatent variable modelingmaterial libraryribbon qualityroll compactionroll compaction behavior classification system (RCBCS)

Identifiers

PMID31817930
PMCPMC6956229

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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.