Application of statistical process control for spotting compliance to good pharmaceutical practice

ABSTRACT For the release of pharmaceutical products into the drug market; most of the pharmaceutical companies depend on acceptance criteria - that are set internally, regulatory and/or pharmacopeially. However, statistical process control monitoring is underestimated in most quality control in case...

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Bibliographic Details
Main Authors: Mostafa Essam Eissa, Ahmedy Mahson Abid
Format: Article
Language:English
Published: Universidade de São Paulo 2018-07-01
Series:Brazilian Journal of Pharmaceutical Sciences
Subjects:
GXP
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502018000200301&lng=en&tlng=en
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spelling doaj-043adff4f12046e897e8ff10c1aa24652020-11-25T00:53:40ZengUniversidade de São PauloBrazilian Journal of Pharmaceutical Sciences2175-97902018-07-0154210.1590/s2175-97902018000217499S1984-82502018000200301Application of statistical process control for spotting compliance to good pharmaceutical practiceMostafa Essam EissaAhmedy Mahson AbidABSTRACT For the release of pharmaceutical products into the drug market; most of the pharmaceutical companies depend on acceptance criteria - that are set internally, regulatory and/or pharmacopeially. However, statistical process control monitoring is underestimated in most quality control in cases; although it is important not only for process stability and efficiency assessment but also for compliance with all appropriate pharmaceutical practices such as good manufacturing practice and good laboratory practice, known collectively as GXP. The current work aims to investigate two tablet inspection characteristics monitored during in-process control viz. tablet average weight and hardness. Both properties were assessed during the compression phase of the tablet and before the coating stage. Data gathering was performed by the Quality Assurance Team and processed by Commercial Statistical Software packages. Screening of collected results of 31 batches of an antibacterial tablet - based on Fluoroquinolone -showed that all the tested lots met the release specifications, although the process mean has been unstable which could be strongly evident in the variable control chart. Accordingly, the two inspected processes were not in the state of control and require strong actions to correct for the non-compliance to GXP. What is not controlled cannot be predicted in the future and thus the capability analysis would be of no value except to show the process capability retrospectively only. Setting the rules for the application of Statistical Process Control (SPC) should be mandated by Regulatory Agencies.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502018000200301&lng=en&tlng=enStatistical process control (SPC)In-process controlGXPFilm coated tabletFluoroquinoloneCapability analysisPharmaceutical practice.
collection DOAJ
language English
format Article
sources DOAJ
author Mostafa Essam Eissa
Ahmedy Mahson Abid
spellingShingle Mostafa Essam Eissa
Ahmedy Mahson Abid
Application of statistical process control for spotting compliance to good pharmaceutical practice
Brazilian Journal of Pharmaceutical Sciences
Statistical process control (SPC)
In-process control
GXP
Film coated tablet
Fluoroquinolone
Capability analysis
Pharmaceutical practice.
author_facet Mostafa Essam Eissa
Ahmedy Mahson Abid
author_sort Mostafa Essam Eissa
title Application of statistical process control for spotting compliance to good pharmaceutical practice
title_short Application of statistical process control for spotting compliance to good pharmaceutical practice
title_full Application of statistical process control for spotting compliance to good pharmaceutical practice
title_fullStr Application of statistical process control for spotting compliance to good pharmaceutical practice
title_full_unstemmed Application of statistical process control for spotting compliance to good pharmaceutical practice
title_sort application of statistical process control for spotting compliance to good pharmaceutical practice
publisher Universidade de São Paulo
series Brazilian Journal of Pharmaceutical Sciences
issn 2175-9790
publishDate 2018-07-01
description ABSTRACT For the release of pharmaceutical products into the drug market; most of the pharmaceutical companies depend on acceptance criteria - that are set internally, regulatory and/or pharmacopeially. However, statistical process control monitoring is underestimated in most quality control in cases; although it is important not only for process stability and efficiency assessment but also for compliance with all appropriate pharmaceutical practices such as good manufacturing practice and good laboratory practice, known collectively as GXP. The current work aims to investigate two tablet inspection characteristics monitored during in-process control viz. tablet average weight and hardness. Both properties were assessed during the compression phase of the tablet and before the coating stage. Data gathering was performed by the Quality Assurance Team and processed by Commercial Statistical Software packages. Screening of collected results of 31 batches of an antibacterial tablet - based on Fluoroquinolone -showed that all the tested lots met the release specifications, although the process mean has been unstable which could be strongly evident in the variable control chart. Accordingly, the two inspected processes were not in the state of control and require strong actions to correct for the non-compliance to GXP. What is not controlled cannot be predicted in the future and thus the capability analysis would be of no value except to show the process capability retrospectively only. Setting the rules for the application of Statistical Process Control (SPC) should be mandated by Regulatory Agencies.
topic Statistical process control (SPC)
In-process control
GXP
Film coated tablet
Fluoroquinolone
Capability analysis
Pharmaceutical practice.
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502018000200301&lng=en&tlng=en
work_keys_str_mv AT mostafaessameissa applicationofstatisticalprocesscontrolforspottingcompliancetogoodpharmaceuticalpractice
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