Evidence map›Paper›PMID 34746555›Full record

ArticleACS omega2021

Application of Multivariate Methods to Evaluate Differential Material Attributes of HPMC from Different Sources.

Shulin Wan, Chuanyun Dai, Yuling Bai, Wenying Xie, Tianbing Guan, Huimin Sun, Bochu Wang

Abstract read
In one paragraph

Article in ACS omega, 2021. 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.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Shulin WanChongqing Key Laboratory of Industrial Fermentation Microorganisms, School of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Chuanyun DaiChongqing Key Laboratory of Industrial Fermentation Microorganisms, School of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.ORCID https://orcid.org/0000-0001-8890-3017
Yuling BaiChongqing Key Laboratory of Industrial Fermentation Microorganisms, School of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Wenying XieChongqing Key Laboratory of Industrial Fermentation Microorganisms, School of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Tianbing GuanChongqing Key Laboratory of Industrial Fermentation Microorganisms, School of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Huimin SunNMPA Key Laboratory for Quality Research and Evaluation of Pharmaceutical Excipients, National Institutes for Food and Drug Control, Beijing 100050, China.
Bochu WangKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400030, China.ORCID https://orcid.org/0000-0002-0592-3264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study is to achieve differential material attributes (DMAs) of hydroxypropyl methylcellulose (HPMC) with different viscosity grades (K4M, K15M, and K100M) from different manufacturers (Anhui Shanhe and Dow Chemical). Two kinds of multivariate methods, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), were adopted. The physicochemical properties of HPMC were systematically investigated via various techniques (e.g., SEM, particle size detection, and SeDeM characterization). Data from 33 characterization variables were applied to the multivariate methods. The PCA and OPLS-DA results indicated the differences between the HPMC from two manufacturers by the common variables that include the tablet hardness (HD), tensile strength (TS), bulk density, interparticle porosity, Carr index, cohesion index, Hausner ratio, flowability, and the width of the particle size distribution (span). Interestingly, these variables showed a certain correlation with each other, supporting the characterization results. Except for these different variables of the HPMC obtained by multivariate analysis results, distinguishable shapes and surface morphologies also appeared between different sources. To sum up, the powder properties (particle size, surface topography, dimension, flowability, and compressibility) and the tablet properties (HD and TS) were recognized as the DMAs of HPMC samples. This work provided the multivariate methods for the physicochemical characterization of HPMC, with potential in the quality control and formulation development.

Identifiers

PMID34746555
PMCPMC8567258

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.