A Comprehensive Overview on Quality by Design in Pharmaceutical Industries

Pharmaceutical has vast areas of formulation and development which design different formulations for different disease conditions and their treatment. Each product developed in the pharmaceutical has to pass the standard prescribed in the monographs. QbD plays an important role in drug product development that is very important because it ensures the stability, safety, and quality of the product. The product quality should be best so that it has per patient compliance. QbD ensures all the safety procedures in the industries that make the stable and good quality and validate the procedure. It also helps in the design of the product and its procedures. It controls all the manufacturing processes and understanding that develops the best quality product. Its modern approach in the pharmaceuticals which aims to develop and design a quality product using its manufacturing process that is intended to deliver constantly and shows good performance. Quality by Design (QbD) is a methodical approach to drug development that emphasizes comprehending and managing the production process to guarantee constant product quality. Critical Quality Attributes (CQAs), Critical Material Attributes (CMAs), and Critical Process Parameters (CPPs) are all identified in this examination, which offers a thorough summary of QbD concepts. It talks about how to optimize pharmaceutical formulations and manufacturing processes by using risk assessment tools, Design of Experiments (DoE), and multivariate analysis. It is emphasized how important regulatory guidelines—like those provided by the International Council for Harmonization (ICH) Q8–Q11—are to maintaining compliance and improving product lifecycle management. Additionally, the study examines how QbD might enhance product effectiveness, lower variability, and speed up regulatory approvals. The difficulties in putting QbD into practice, such as the lack of resources and the complexity of data processing, are also discussed. Insights into the strategic application of QbD to improve pharmaceutical product development and production are the goal of this research.

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Publication Details

Journal
Journal of Drug Discovery and Health Sciences
Published
2025-03-25
DOI
https://doi.org/10.21590/jddhs.02.01.04
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

A Comprehensive Overview on Quality by Design in Pharmaceutical Industries

Sushil Kumar Dubey, Narendra Kumar Pandey, Pramendra Kumar Bajpai, Sneha Baxi Srivastava et al.
Journal of Drug Discovery and Health Sciences
Computational Drug Discovery Methods
article

A Comprehensive Overview on Quality by Design in Pharmaceutical Industries

Sushil Kumar Dubey, Narendra Kumar Pandey, Pramendra Kumar Bajpai, Sneha Baxi Srivastava, Yashpal S Kori
article en

Abstract

Pharmaceutical has vast areas of formulation and development which design different formulations for different disease conditions and their treatment. Each product developed in the pharmaceutical has to pass the standard prescribed in the monographs. QbD plays an important role in drug product development that is very important because it ensures the stability, safety, and quality of the product. The product quality should be best so that it has per patient compliance. QbD ensures all the safety procedures in the industries that make the stable and good quality and validate the procedure. It also helps in the design of the product and its procedures. It controls all the manufacturing processes and understanding that develops the best quality product. Its modern approach in the pharmaceuticals which aims to develop and design a quality product using its manufacturing process that is intended to deliver constantly and shows good performance. Quality by Design (QbD) is a methodical approach to drug development that emphasizes comprehending and managing the production process to guarantee constant product quality. Critical Quality Attributes (CQAs), Critical Material Attributes (CMAs), and Critical Process Parameters (CPPs) are all identified in this examination, which offers a thorough summary of QbD concepts. It talks about how to optimize pharmaceutical formulations and manufacturing processes by using risk assessment tools, Design of Experiments (DoE), and multivariate analysis. It is emphasized how important regulatory guidelines—like those provided by the International Council for Harmonization (ICH) Q8–Q11—are to maintaining compliance and improving product lifecycle management. Additionally, the study examines how QbD might enhance product effectiveness, lower variability, and speed up regulatory approvals. The difficulties in putting QbD into practice, such as the lack of resources and the complexity of data processing, are also discussed. Insights into the strategic application of QbD to improve pharmaceutical product development and production are the goal of this research.

Journal of Drug Discovery and Health SciencesVol. 2(01)
Maharishi University of Management and Technology (IN), Jawaharlal Nehru Technological University Anantapur (IN)
Openalex Percentile: Top 91%
Computational Drug Discovery Methods
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