Evidence map›Paper›PMID 34126119›Full record

ArticleJournal of pharmaceutical sciences2022

Real-Time Monitoring of Powder Mass Flowrates for Plant-Wide Control of a Continuous Direct Compaction Tablet Manufacturing Process.

Yan-Shu Huang, Sergio Medina-González, Benjamin Straiton, Joshua Keller, Qussai Marashdeh, Marcial Gonzalez, Zoltan Nagy, Gintaras V Reklaitis

Abstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 2022. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  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

8 authors.

Yan-Shu HuangDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States. Electronic address: huan1289@purdue.edu.
Sergio Medina-GonzálezDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Benjamin StraitonTech4Imaging LLC, Columbus, OH 43235, United States.
Joshua KellerTech4Imaging LLC, Columbus, OH 43235, United States.
Qussai MarashdehTech4Imaging LLC, Columbus, OH 43235, United States.
Marcial GonzalezSchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Zoltan NagyDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.
Gintaras V ReklaitisDavidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, United States.

Funding

Industry 4.0 Implementation in Continuous Pharmaceutical ManufacturingU01FD006487 · FDA · UNIVERSITY OF DELAWARE · PI IERAPETRITOU, MARIANTHI · 2018 to 2020
$4.0M
FDA HHS U01 FD006487
6 · The paper itself

Abstract

While measurement and monitoring of powder/particulate mass flow rate are not essential to the execution of traditional batch pharmaceutical tablet manufacturing, in continuous operation, it is an important additional critical process parameter. It has a key role both in establishing that the process is in a state of control, and as a controlled variable in process control system design. In current continuous tableting line operations, the pharmaceutical community relies on loss-in-weight feeders to monitor and understand upstream powder flow dynamics. However, due to the absence of established sensing technologies for measuring particulate flow rates, the downstream flow of the feeders is monitored and controlled using various indirect strategies. For example, the hopper level of the tablet press is maintained as a controlled process output by adjusting the turret speed of the tablet press, which indirectly controlling the flow rate. This gap in monitoring and control of the critical process flow motivates our investigation of a novel PAT tool, a capacitance-based sensor (ECVT), and its effective integration into the plant-wide control of a direct compaction process. First, the results of stand-alone experimental studies are reported, which confirm that the ECVT sensor can provide real-time measurements of mass flow rate with measurement error within -1.8 ~ 3.3% and with RMSE of 0.1 kg/h over the range of flow rates from 2 to 10 kg/h. The key caveat is that the powder flowability has to be good enough to avoid powder fouling on the transfer line walls. Next, simulation case studies are carried out using a dynamic flowsheet model of a continuous direct compression line implemented in Matlab/Simulink to demonstrate the potential structural and performance advantages in plant-wide process control enabled by mass flow sensing. Finally, experimental studies are performed on a direct compaction pilot plant in which the ECVT sensor is located at the exit of the blender, to confirm that the powder flow can be monitored instantaneously and controlled effectively at the specified setpoint within a plant-wide feedback controller system.

Indexed as

Technology, PharmaceuticalComputer SimulationPowdersPressureTabletsPowdersTabletsContinuous processingPowder technologyProcess analytical technology (PAT)Quality by Design (QbD)Tableting

Identifiers

PMID34126119
PMCPMC10009918

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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.