Quality by Design

Quality by design (QbD) represents the modern approach to ensuring pharmaceutical quality. This concept has significantly influenced the progress of pharmaceutical sciences, having been established and applied globally in accordance with the International Conference on Harmonization (ICH) Guidelines. The proposed ICH guidelines—Q8 for pharmaceutical development, Q9 for quality risk management, and Q10 for pharmaceutical quality systems—provide a foundation for integrating quality into products. In the QbD framework, it is crucial to define the desired product performance profile, known as the Target Product Profile (TPP), and the Target Product Quality Profile (TPQP), as well as to identify Critical Quality Attributes (CQA). Based on this, we can design both the product formulation and the process to meet these attributes. This leads to recognizing the impact of raw material Critical Material Attributes (CMA) and Critical Process Parameters (CPP) on the CQAs, and identifying sources of variability

Objective This work aims to present a Quality-by-Design (QbD) step-by-step methodology to formulate anti-ulcer and gastro-protective oral suspensions. Methods Sucralfate was used as a drug model. The Quality Target Product Profile was established early during preformulation. Viscosity, resuspendability, pH, and density were assessed through the screening of several suspension platforms based on different prototype compositions. A compatibility study between the active pharmaceutical ingredient and the excipients was performed by thermal analysis and infrared spectroscopy. An Ishikawa fishbone diagram and Failure Mode and Effect Analysis were employed to identify the Critical Material Attributes (CMAs), Critical Process Parameters (CPPs), and Critical Quality Attributes (CQAs). CMAs’ and CPPs’ impact on identified CQAs was further assessed through a 22 full factorial experimental design at normal conditions after manufacture and one month at super-accelerated stress conditions. Results: The lead prototype exhibited no physicochemical incompatibilities. The risk assessment tools revealed that the concentration of the wetting agent and the total concentration of thickening agents represented critical factors for the quality profile of the preparation in terms of viscosity. The optimized formulation comprising 1.125 w/v% total concentration of Natrosol 250 HX and Avicel RC 591 exhibited an enhanced performance according to the established profile. Conclusions The analytical and physicochemical tests showed the robustness and compliance of the final preparation with the quality profile. The proposed step-by-step methodology based on QbD, Design of Experiments, and Quality Risk Management presented in our research holds practical implications for local industries and formulation scientists involved in the development of oral suspensions.

Aim. To implement the Quality by Design (QbD) approach in order to develop the composition and the manufacturing technology of injectable hyaluronate sodium (HS) in combination with chondroitin sulfate (CS) for intra-articularintroduction. Materials and methods. The composition of the solution for injection was developed using samples of the active pharmaceutical ingredient (API) of HS and CS. The approaches of the ICH international guidelines were used to create the QbD protocol. The quality target product profile (QTPP) was developed based on the literature review, analysis of similar drugs and the previous in-house experimental studies. Determination of critical quality assessment (CQA) product indicators was performed by risk analysis for all quality indicators listed in QTPP. The risk assessment of quality indicators was performed by assessing them according to the Risk Priority Number system (hereinafter – RPN) by a 9-point scale. When studying the composition and the manufacturing technology of the injectable solution the quality risk management (QRM) was developed according to the Ishikawa diagram. Results and discussion. It has been found that the QbD concept is a systematic approach to the drug development. At the first stage QTPP was developed. Based on the QTPP data the CQA indicators were determined, and quality risks were assessed. The critical process parameters (CPP) of the solution for injection based on HS and CS, their control methods, as well as the critical material attributes (CMA) were determined. Based on the data obtained the drug control strategy was proposed taking into account the need to minimize the repetition of control experiments. Using the Isikawa diagram the variability of the material and the process with the environmental factors affecting the qualityof the solution for injection with HS and CS was shown.Conclusions. Using the basic QbD approaches when developing the composition and the manufacturing technology of an injectable drug for intra-articular introduction it has been found that the route of administration, dose, potency, and consumer properties of the product are important aspects of QTPP. It has been proven that the quality indicators, such as transparency, viscosity, sterility and the quantitative content of API are determined as CQA to achieve the objectives defined in QTPP. The study shows that almost all stages of production are critical, therefore, they need to be constantly monitored and checked to obtain a quality product. In further experimental studies to confirm the composition developed and the manufacturing technology according to QRM it is necessary to focus on such indicators as the solution temperature, stabilization time, degassing mode and filtration conditions.

This review explains the idea of pharmaceutical Quality by Design (QbD) more clearly and talks about its main goals. QbD focuses on making sure that medicines are designed and made with high quality from the beginning. It includes several important parts. First, it starts with a Quality Target Product Profile (QTPP), which describes the key features the final drug should have. Then, it involves understanding the product and identifying important materials, called Critical Material Attributes (CMAs). It also includes designing the manufacturing process and identifying the key steps, known as Critical Process Parameters (CPPs) that can affect the drug’s quality. These materials and steps are linked to the Critical Quality Attributes (CQAs) of the drug. [1,2] A control strategy is also part of QbD. This means setting standards for the drug ingredients, added substances (excipients), the final product, and each step of the manufacturing process to make sure everything stays on track. QbD also focuses on how capable the process is and encourages continuous improvement over time

The aim of our research work was to develop dermally applicable, semisolid film-forming systems (FFSs) containing silicones, which form a film on the skin in situ, with suitable mechanical properties for skin application. FFSs were developed and investigated by means of the Quality by Design (QbD) methodology. With this QbD approach, the initial risk assessment defines the critical quality attributes (CQAs), the critical material attributes (CMAs) and the critical process parameters (CPPs) to ensure the required quality. Different semisolid systems were formed with or without silicones. During the initial risk assessment, three CQAs, namely skin adhesion, film flexibility and burst strength, were found to be critical attributes, while film appearance, film integrity and the drying time of the semisolid system, were found to be medium attributes. These parameters were investigated. The initial risk assessment also showed that there are three high CMAs: the type of silicones, film-forming excipients, drying excipients, and that there was one medium CMA: viscosity-enhancing excipients. Based on our results, the silicone content had a great effect on the film-forming systems. Different silicones affected the mechanical properties of the films in varying ways, decreased the drying time and showed promising results regarding the drying mechanism.

Purpose: This research work entails quality by design (QbD)-based systematic development of nanostructured lipid carriers (NLCs) of Olmesartan medoxomil (OLM) with improved biopharmaceutical attributes.Methods: Quality target product profile (QTPP) was defined and critical quality attributes (CQAs) were earmarked. Solubility of drug was performed in various lipids for screening of them. NLCs were prepared by hot-microemulsion method using solid lipids, liquid lipids and surfactants with maximal solubility. Failure mode and effect analysis (FMEA) was carried out for identifying high risk formulation and process parameters. Further, principal component analysis (PCA) was applied on high risk parameters for evaluating the effect of type and concentration of lipids and surfactants on CQAs. Further, systematic optimization of critical material attributes (CMAs) was carried out using face centered cubic design and optimized formulation was identified in the design space.Results: FMEA and PCA suggested suitability of stearic acid, oleic acid and Tween 80 as the CMAs for NLCs. Response surface optimization helped in identifying the optimized NLC formulation with particle size ∼250 nm, zeta potential <25 mV, entrapment efficiency >75%, in vitro drug release >80% within 6 h. Release kinetic modeling indicated drug release through Fickian-diffusion mechanism.Conclusions: Overall, these studies indicated successful development of NLCs using multivariate statistical approaches for improved product and process understanding.

Background/Objectives: Quality by Design (QbD) has revolutionized pharmaceutical development by transitioning from reactive quality testing to proactive, science-driven methodologies. Rooted in ICH Q8-Q11 guidelines, QbD emphasizes defining Critical Quality Attributes (CQAs), establishing design spaces, and integrating risk management to enhance product robustness and regulatory flexibility. This review critically examines QbD's theoretical frameworks, implementation workflows, and industrial applications, aiming to bridge academic research and commercial practices while addressing emerging challenges in biologics, advanced therapies, and personalized medicine. Methods: The review synthesizes regulatory guidelines, case studies, and multidisciplinary tools, including Design of Experiments (DoE), Failure Mode Effects Analysis (FMEA), Process Analytical Technology (PAT), and multivariate modeling. It evaluates QbD workflows-from Quality Target Product Profile (QTPP) definition to control strategies-and explores advanced technologies like AI-driven predictive modeling, digital twins, and continuous manufacturing. Results: QbD implementation reduces batch failures by 40%, optimizes dissolution profiles, and enhances process robustness through real-time monitoring (PAT) and adaptive control. However, technical barriers, such as nonlinear parameter interactions in complex systems, and regulatory disparities between agencies hinder broader adoption. Conclusions: QbD significantly advances pharmaceutical quality and efficiency, yet requires harmonized regulatory standards, lifecycle validation protocols, and cultural shifts toward interdisciplinary collaboration. Emerging trends, including AI-integrated design space exploration and 3D-printed personalized medicines, promise to address scalability and patient-centric needs. By fostering innovation and compliance, QbD remains pivotal in achieving sustainable, patient-focused drug development.

Quality by design (QbD) serves as a systematic approach to pharmaceutical development, beginning with predefined objectives and emphasizing an understanding of the product based on sound science and risk management. The purpose of this study is to utilize the QbD concept to develop a stable peptide-loaded long-acting injection formulation. An in-depth comprehension of peptide degradation mechanisms was achieved through forced degradation investigations, elucidating (acid) hydrolysis and oxidation as the primary degradation pathways for the peptide ACTY116. The quality built into the product was focused on risk assessment, for which the critical material attributes (CMAs) and critical process parameters (CPPs) associated with the critical quality attributes (CQAs) of each formulation were identified, leading to the development of the corresponding control strategies. CQAs for three LAI (long-acting injectable) formulations were enhanced by taking the right control strategies. The LAI formulation exhibiting the highest stability for ACTY116 was chosen for subsequent pharmacokinetic investigations in rats. The objective of addressing peptide chemical instability and in vivo long-acting release was achieved. For other molecules with susceptible functionalities like amide bonds, amino groups, and hydroxyl groups, the utilization of PLGA-based in situ gel as an LAI formulation for stabilizing molecules provides valuable insights.

Digital design and optimization of an integrated reaction-extraction-crystallization-filtration continuous pharmaceutical process

Quality by design (QbD) refers to a new approach to product development that could increase efficiencies, provide regulatory relief and flexibility, and offer important business benefits throughout the product life cycle. QbD is increasingly becoming an important and widely used technique in the pharmaceutical industry. QbD can be considered to be system-based approach to the design, development, and delivery of any product or service to a consumer. It is an approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control. Process parameters and quality attributes are identified for each unit operation. Benefits, opportunities, and steps involved in QbD of pharmaceutical products are described. The aim of pharmaceutical development is to design a quality product and its manufacturing process to consistently deliver the intended performance of the product. Quality cannot be tested into products, but quality should be built in by design. It includes the quality target product profile, critical quality attributes, and key aspects of QbD. It also gives comparison between product quality by end product testing and product quality by QbD. The foundation of QbD is ICH guidelines. Hence, if we identify the cause and effect relationship between the various inputs and responses by carefully designed experiments, we can control the quality of the product by simply controlling the inputs such as raw material specifications or process parameters.

BackgroundAnalytical Quality by Design (AQbD) has emerged as a pivotal paradigm in the realm of analytical chemistry, revolutionizing the approach to method development and validation. This innovative strategy integrates principles of Quality by Design (QbD) into analytical procedures, aiming to ensure the quality and robustness of analytical methods. The traditional approach to method development often involves a trial-and-error process, where parameters are adjusted until satisfactory results are obtained. However, this approach can be time-consuming, resource-intensive, and may lack reproducibility. AQbD addresses these challenges by providing a systematic framework for method development that emphasizes understanding the relationship between critical process parameters (CPPs) and critical quality attributes (CQAs).DiscussionAnalytical Quality by design (AQbD) presents an innovative approach to creating and validating analytical procedures, aimed at achieving quality measurements within the method operable design region (MODR). The QbD approach to analytical development is proactive, methodical, and risk-based significantly helps in acquiring an in-depth knowledge of how critical process parameters (CPPs) affect analytical performances, measured by critical quality attributes (CQAs). Experiment design (DoE) is an essential part of QbD, functioning to carry out the response surface analysis and screening process, and ultimately to enable the definition of the multidimensional region of the successful operating ranges of the CPPs, known as the design space (DS). The purpose of this article is to offer a thorough description of the QbD approach's method development process and its implementation in analytical procedure validation, to produce high-quality output, employing statistical analysis in conjunction with other designing tools.ConclusionAnalytical Quality by design (AQbD) offers a systematic and proactive approach to method development in analytical procedures. By focusing on method resilience and incorporating statistical analysis and experiment design (DoE), AQbD enables the production of high-quality outputs, while minimizing out of trend (OOT) and out of specification (OOS) results. This innovative strategy enhances the reliability and reproducibility of analytical methods, ultimately leading to improved outcomes across various industries.

The Impact of Product and Process Related Critical Quality Attributes on Immunogenicity and Adverse Immunological Effects of Biotherapeutics.

The objective of this study was to provide quality by design (QbD) approach for development of suspension type nasal spray products. Quality target product profile (QTPP) of test product budesonide nasal suspension (B-NS) was defined and critical quality attributes (CQAs) were identified. Critical formulation, process and delivery device variables were recognized. Risk assessment was performed by using failure mode and effect analysis (FMEA) methodology. Selected variables were further assessed using a Plackett Burman screening study. A response surface design consisting of the critical factors was used to study the interactions between the study variables. Formulation variable X2: median particle size of budesonide (D50) (µ) has strikingly influenced dissolution (%) (Y1), while D50 droplet size distribution (µm) (Y2) was significantly impacted by formulation variable X1: Avicel RC 591 (%) and process variable X4: homogenization speed (rpm). A design space plot within which the CQAs remained unchanged was established at lab scale. A comprehensive approach for development of B-NS product based on the QbD methodology has been demonstrated. The accuracy and robustness of the model were confirmed by comparability of the predicted value generated by model with the observed value.

Objective: The purpose of this study was an implementation of quality by design (QbD) for the formulation and characterization of econazole nitrate loaded flexisomal nanocarriers (EN-FS) to improve antifungal activity and to enhance skin permeability. Methods: Initially quality target product profile (QTTP) elements were identified and later critical quality attributes (CQA) elements were defined from QTPP elements. Particle size, entrapment efficiency and deformability index were defined as CQAs. Risk assessment was performed by using fishbone diagram and failure mode and effect analysis (FMEA). Design space was created by using fractional factorial design 25-2 as screening design and 32 full factorial design as optimization design to optimize two variables soya phosphatidylcholine concentration(X1) and sodium deoxycholate concentration (X2). Results: Optimized batch of EN-FS was 249.5±3.48 nm, with entrapment efficiency of 88.6±0.89 % and deformability index of 31.75±0.98. Zeta potential analysis showed value of-22.5 mV. Morphological analysis by TEM showed spherical shaped flexisomes, which confirmed the vesicular characteristics. The optimized batch of EN-FS was further made into hydrogels by using sepineo P600 as gelling agent. The % drug diffusion of EN-FS hydrogels had shown 24.68%. With higher skin deposition and higher value of zone of inhibition in antifungal study as compared to plain EN hydrogel. CLSM studies indicated deep penetration of EN-FS in skin layers. Lastly control strategy for EN-FS were developed. Conclusion: It was concluded that EN-FS showed high flexibility and enhanced antifungal activity therefore found to be a potential nanocarriers for drug deposition in skin layers without disturbing skin integrity.

This research is intended to examine the adoption of the Quality by Design (QbD) approach within a process industry setting, thereby leading to sustainable performance. Specifically, the purpose of this study is to explore the systematic integration of QbD principles into the design and control of distillation column controllers to improve product quality, operating efficiency, and sustainability. The study analyzes process variables and develops a robust system by leveraging statistical methods, quality management tools, and chemical and control engineering expertise. It is found that effective deployment of QbD methodology in process engineering requires a robust and systematic approach. Additionally, we determined that Quality Target Product Profile (QTPP) and Critical Quality Attributes (CQA) are important components for effective deployment and sustainment of QbD to achieve Sustainable Development Goals for the industries. Moreover, it is observed that including noise and control parameters is essential during the project’s design phase. This study offers a systematic approach to implementing QM in industrial process design. The study highlights the potential of QbD in control engineering to enhance industrial processes and contribute to sustainability.