Evidence map›Paper›PMID 36790944›Full record

ArticleESCAPE. European Symposium on Computer Aided Process Engineering2019

A Quality-by-Control Approach in Pharmaceutical Continuous Manufacturing of Oral Solid Dosage via Direct Compaction.

Qinglin Su, Sudarshan Ganesh, Dan Bao Le Vo, Anushaa Nukala, Yasasvi Bommireddy, Marcial Gonzalez, Gintaras V Reklaitis, Zoltan K Nagy

Abstract read
In one paragraph

Article in ESCAPE. European Symposium on Computer Aided Process Engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Qinglin SuDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Sudarshan GaneshDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Dan Bao Le VoDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Anushaa NukalaDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Yasasvi BommireddySchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Marcial GonzalezSchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Gintaras V ReklaitisDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Zoltan K NagyDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.

Funding

FDA HHS U01 FD005535FDA HHS U01 FD006487
6 · The paper itself

Abstract

The pharmaceutical industry has been undergoing a paradigm shift towards continuous manufacturing, under which novel approaches to real-time product quality assurance have been investigated. A new perspective, entitled Quality-by-Control (QbC), has recently been proposed as an important extension and complementary approach to enable comprehensive Quality-by-Design (QbD) implementation. In this study, a QbC approach was demonstrated for a commercial scale tablet press in a continuous direct compaction process. First, the necessary understanding of the compressibility of a model formulation was obtained under QbD guidance using a pilot scale tablet press, Natoli BLP-16. Second, a data reconciliation strategy was used to reconcile the tablet weight measurement based on this understanding on a commercial scale tablet press, Natoli NP-400. Parameter estimation to monitor and update the material property variance was also considered. Third, a hierarchical three-level control strategy, which addressed the fast process dynamics of the commercial scale tablet press was designed. The strategy consisted of the Level 0 built-in machine control, Level 1 decoupled Proportional Integral Derivative (PID) control loops for tablet weight, pre-compression force, main compression force, and production rate control, and Level 2 data reconciliation of sensor measurements. The effective and reliable performance, which could be demonstrated on the rotary tablet press, confirmed that a QbC approach, based on product and process knowledge and advanced model-based techniques, can ensure robustness and efficiency in pharmaceutical continuous manufacturing.

Indexed as

Continuous manufacturingpharmaceuticalProcess controlQuality-by-ControlQuality-by-Design

Identifiers

PMID36790944
PMCPMC9923508

What OpenQuestion holds

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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.