1,2,3,4Department of Pharmacy, Madan Bhandari Academy of Health Sciences, Nepal.
5Mahatma Gandhi College of Pharmaceutical Sciences, Jaipur, India.
Background: Process validation is a documented act that proves that procedures, processes, equipment, materials, activities, or systems lead to expected results. It provides confidence that a specific process will consistently produce products that meet predetermined specifications and quality attributes. Methods: This article explores the stages, methodologies, and regulatory frameworks governing tablet process validation, with a specific focus on the Nepalese context. It delves into the significance of Critical Quality Attributes (CQAs) and Critical Process Parameters (CPPs) in maintaining product integrity. Results: The validation lifecycle included process design (formulation development, process flow design, and risk assessment), equipment qualification (design, installation, operational, and performance qualification), and continued process verification through monitoring, data analysis, and corrective actions. The key CQAs for tablets, including content uniformity, dissolution rate, hardness, friability, disintegration time, weight variation, and moisture content, are influenced by CPPs. The Nepalese regulatory framework, guided by the Department of Drug Administration (DDA), aligns with the WHO-GMP and ICH standards. The study validated manufacturing across three batches by assessing the parameters during mixing, granulation, drying, and compression. The results showed consistent product quality, meeting predetermined specifications.
In pharmaceutical manufacturing, documented evidence that a manufacturing process operates within established parameters and consistently produces a product that meets its predetermined specifications has been provided [1]. From a Quality Assurance (QA) perspective, this is not merely a procedural step but a comprehensive, lifecycle-based framework that ensures patient safety and product efficacy.
QA ensures that every step of the process validation, from the initial design to the final verification, is meticulously documented. This documentation serves as a verifiable and defensible record that demonstrates compliance with regulatory requirements. It includes protocols, reports, raw data, and statistical analyses, which provide a high degree of assurance that the process is in a state of control.
The modern quality assurance principle of process validation (PV) moves beyond simple batch testing by taking a holistic view of the entire product lifecycle, starting from the first stages of product development [2]. The QA team was responsible for overseeing and approving the validation activities for all three stages:
Process Design: This initial stage is heavily influenced by the Quality by Design (QbD) principles. The Formulation and Development (F&D) team will develop a new formulation for the dosage form, ensuring that the process is designed with a deep understanding of how material attributes and process parameters affect product quality [3, 4].
Equipment Qualification: The Quality Assurance (QA) team is responsible for verifying that all equipment and facilities are qualified (Installation Qualification), operate as intended (Operational Qualification), and that the process as a whole can consistently produce a quality product (Performance Qualification) [5].
Continued Process Verification: This ongoing commitment to quality. QA establishes a system of routine monitoring and trend analysis to ensure that the process remains in a state of control over time, allowing for the early detection of potential deviations or process drift.
To ensure product quality and regulatory compliance in Nepal, the Nepalese pharmaceutical industry has to align with both national and international standards. QA teams in Nepal are tasked with implementing a quality management system (QMS) that not only adheres to the Department of Drug Administration's (DDA) guidelines but also incorporates internationally recognized standards, such as WHO-recommended Good Manufacturing Practices (WHO-GMP). This dual-compliance approach ensures that locally manufactured products are a standard that is safe for the local population and potentially marketable on a global scale. This proactive stance on quality and compliance is essential for the growth and credibility of the country's pharmaceutical sector [6, 9].
Stages of Process Validation
The process validation lifecycle is a systematic approach to quality assurance that includes three key stages.
This initial stage involves the development of a robust manufacturing process based on scientific understanding and prior knowledge. It includes:
Risk Assessment: As guided by the principles of ICH Q9 on Quality Risk Management, it is a crucial and proactive stage in process validation. Its importance lies in the fact that it shifts the focus from a reactive approach to a proactive one. Companies can establish robust control strategies before manufacturing begins by systematically identifying and evaluating potential risks to the product quality. This ensures a higher degree of assurance that the process will consistently produce a quality product, thereby minimizing the need for extensive in-process or final product testing and reducing the likelihood of costly deviations or recalls [10].
Equipment qualification is a documented process that proves that equipment is suitable for its intended use, ensuring that it functions correctly and consistently meets regulatory and operational standards [11]. This involves the following four primary elements:
Granulation: OQ involves challenging the granulator by running it at the high and low ends of its specified mixing time and speed to ensure that it produces granules with the desired size and density.
Drying: For a fluidized bed dryer, the OQ verifies that the inlet and outlet air temperatures and airflow rates can be controlled and maintained at set points to achieve a consistent moisture content in the granules.
Compression: OQ for a tablet press involves verifying the machine's ability to maintain consistent compression force and turret speed, ensuring the production of tablets with uniform hardness and weight.
Coating: OQ for a tablet coater would confirm that critical parameters such as pan speed, spray rate, and inlet air temperature are precisely controlled to ensure a uniform and defect-free coating.
In all these stages, the successful completion of OQ provides assurance that the equipment is capable of performing as intended, and is a crucial step before initiating performance qualification.
Sifting: The PQ for sifting verifies that the equipment consistently produces a uniform powder by effectively removing agglomerates and foreign particles without damaging the material.
Granulation: This PQ stage confirms that the granulation method consistently produces granules with the target size, density, and flow properties across multiple runs.
Drying and Milling: The PQ for drying and milling demonstrates that the processes consistently achieve a specified moisture content and uniform particle size distribution, which are both crucial for successful compression.
Blending and Compression: The blending PQ ensures that the final blend is homogeneous, whereas the compression PQ confirms that the tablet press consistently produces tablets that meet all quality specifications, such as weight, hardness, and friability.
Coating: PQ confirms that the coating process consistently applies a smooth, uniform, and defect-free coating that meets all quality attributes, such as appearance and dissolution profile.
Primary Packaging: Finally, the PQ for primary packaging proves that the line consistently seals the tablets into blisters, strips, or bottles, ensuring product integrity and stability throughout its shelf life.
Continuous Process Verification (CPV) is an ongoing phase of the Process Validation lifecycle that ensures that the manufacturing process remains consistently in a state of control after initial validation. This is a proactive approach focused on continuous quality improvement.
Key Components of CPV
Routine Monitoring: This involves real-time or periodic collection of data on CPPs and critical quality attributes (CQAs). These data were collected during every production run. For example, in a tablet manufacturing process, this could include monitoring tablet hardness, dissolution rates, and blend uniformity. Data should be systematically collected and recorded for future analysis.
Data Analysis: The collected data were analyzed using statistical tools to identify trends and detect any unwanted variability. Statistical Process Control (SPC) charts are often used to visualize the data and determine if the process is within acceptable limits. This step helps to identify small, gradual drifts in a process before they lead to a significant quality issue.
Corrective and Preventive Actions (CAPA): When the analysis identifies a deviation or negative trend, CAPA is initiated. This involves a root cause investigation to understand why the deviation occurred. Corrective actions are implemented to fix the immediate problem, and preventive actions are implemented to ensure that the issue does not recur. The effectiveness of these actions was then verified through continued monitoring.
4. CQAs and CPPs
Understanding the relationship between CQAs and CPPs is vital for process validation. Key CQAs for tablets, their associated CPPs, and the validation parameters used to assess them include the following:
5. Regulatory Framework in Nepal
In Nepal, the Department of Drug Administration (DDA) is the primary regulatory body that oversees pharmaceutical manufacturing. The DDA has established guidelines that align with international standards, such as WHO-GMP and ICH, to ensure the quality and safety of pharmaceutical products. Key documents and guidelines include the following:
6. Case Study: Process Validation of KASFOL 5 Tablets
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|
Stage |
Equipment |
Process |
Process Validation |
CQA |
|
1 |
Sifter |
Sifting |
Mesh Size |
Size Distribution |
|
|
? |
|
? |
|
|
2 |
RMG |
Mixing |
Time, RPM |
Assay |
|
|
? |
|
? |
|
|
3 |
RMG |
Granulation |
Binder Solution, Granulation Time |
Granulation Completeness |
|
|
? |
|
? |
|
|
4 |
FBD |
Drying |
Inlet and Outlet Air Temperature, Drying Time |
Moisture Content |
|
|
? |
|
? |
|
|
5 |
RMG |
Lubrication |
Identification, Assay |
Assay |
|
|
? |
|
? |
|
|
6 |
Rotary Press |
Compression |
Flow Property |
Average Weight, Hardness, DT |
|
|
? |
|
? |
|
|
7 |
Blister Packing Machine |
Primary Packing |
Appearance of Finished Product |
Batch Coding |
The objective of this concurrent process validation study was to demonstrate that the manufacturing process for KASFOL 5 (Folic Acid Tablets IP) consistently produces a product that meets its predetermined specifications and quality attributes. Validation was conducted on three consecutive production batches (FOT-16, FOT-17, and FOT-18), each with a batch size of 250,000 tablets. The same method and equipment were used for all batches.
B. Methodology and Process Control
CPPs and CQAs have been identified and evaluated at various manufacturing stages, including dry mixing, granulation, drying, lubrication, and compression [12–15]. The key parameters monitored included the following:
7. RESULT AND DISCUSSION
The results from the three validation batches demonstrated that all critical quality attributes met their predetermined acceptance criteria throughout the manufacturing process.
Thus the assay values are within the acceptance limit of 90%–115%, and a 5 minutes mixing time is suitable for validation in the procedure.
Process Overview and Critical Parameters: The manufacturing process for KASFOL 5 tablets involves several critical stages. The validation report meticulously monitored and documented the following process parameters.
Validation Results and Discussion: The validation protocol established clear acceptance criteria for all CQAs. The results from all three batches demonstrated consistent product quality, meeting the predetermined specifications for critical attributes, such as content uniformity, hardness, and dissolution rate. The successful outcome of this validation confirms that the manufacturing process, as in the Batch Manufacturing Record (BMR) for KASFOL 5 tablets, is robust, reproducible, and capable of consistently producing a product that meets its quality attributes.
The studies provide proof of robustness, as there is stability and reproducibility through a three-batch concurrent validation, which is a key industry practice. The strength of this report lies in its comprehensive evaluation of CQAs and detailed monitoring of CPPs, such as blending speed and compression force. The quantitative data, such as the low RSD for content uniformity, offers strong, verifiable evidence of a consistently homogeneous blend.
However, areas of critical consideration exist. The small batch size of 250,000 tablets raises questions regarding the scalability of the validated process for larger commercial production. The validation can be made more robust by establishing a design space that explores a range of acceptable parameter values instead of just single points. Additionally, the report can be improved by explicitly stating the specific acceptance criteria for each test and by including the actual yield percentages for each batch. Finally, while the report mentioned drying, a deeper critical analysis of all associated variables, such as airflow rate, would provide a more complete picture of process control.
8. CONCLUSION
Process validation is an essential component of tablet manufacturing, which ensures that products consistently meet quality standards and comply with regulatory requirements. By adhering to national guidelines such as those from the Department of Drug Administration and international standards such as WHO GMP and ICH, the Nepalese pharmaceutical industry can achieve robust and reliable production processes. The case study of folic acid tablet IP exemplifies this framework in practice, highlighting that systematic validation and continuous monitoring are vital for quality assurance and patient safety in the local context. Based on the validation data, the manufacturing process for KASFOL 5 tablets was considered stable, consistent, and reproducible. The results provide a high degree of assurance that the process consistently yields a product that meets the predetermined quality attributes and specifications. The methods employed were validated and can be routinely followed.
REFERENCES
Tables And Figures:
Table 1. Dry mix Folic acid assay.
|
S. N. |
Dry Mixing Time |
Batch No. |
Assay of Folic Acid |
RSD |
||||||||
|
|
|
|
Top |
Middle |
Bottom |
% |
||||||
|
T1 |
T2 |
T3 |
M1 |
M2 |
M3 |
B1 |
B2 |
B3 |
||||
|
1 |
3 Min |
FOT-16 |
101.95 |
101.54 |
101.38 |
106.77 |
111.11 |
106.63 |
101.73 |
102.32 |
103.59 |
3.23 |
|
FOT-17 |
104.74 |
104.63 |
104.38 |
103.22 |
102.28 |
102.43 |
104.98 |
103.11 |
104.21 |
0.991 |
||
|
FOT-18 |
105.98 |
107.8 |
106.97 |
106.73 |
106.86 |
108.42 |
112.9 |
109.79 |
106.75 |
1.992 |
||
|
2 |
5 Min |
FOT-16 |
99.62 |
100.13 |
101.46 |
108.53 |
109.43 |
108.98 |
102.77 |
104.17 |
103.24 |
3.66 |
|
FOT-17 |
103.14 |
103.2 |
104.07 |
101.96 |
101.91 |
102.44 |
103.07 |
104.01 |
104.69 |
0.993 |
||
|
FOT-18 |
107.39 |
107.15 |
110.47 |
108.74 |
106.99 |
109.09 |
108.51 |
110.36 |
110.35 |
1.291 |
||
|
3 |
8 Min |
FOT-16 |
98.49 |
103.81 |
103.1 |
109.97 |
108.1 |
110.19 |
102.38 |
102.05 |
103.69 |
3.77 |
|
FOT-17 |
102.09 |
106.57 |
105.68 |
101.64 |
102.03 |
101.33 |
102.51 |
106.09 |
105.88 |
2.134 |
||
|
FOT-18 |
106 |
106.75 |
110.01 |
107.82 |
108.52 |
111.33 |
110.23 |
111.03 |
109.02 |
1.709 |
||
|
T = Top, M = Middle, B = Bottom |
||||||||||||
Figure 1. Dry mixing Folic acid assay at 3 minutes.
Figure 2. Dry mixing Folic acid assay at 5 minutes.
Figure 3. Dry mixing Folic acid assay at 8 minutes.
Table 2. Moisture content of granules at three different times.
|
S.N. |
Batch No. |
Lot |
% Moisture Content – Final Drying |
||||||||
|
Initial |
Middle |
Final |
|||||||||
|
FT1 |
FT2 |
FT3 |
FM2 |
FM1 |
FM3 |
FB1 |
FB2 |
FB3 |
|||
|
1 |
FOT-16 |
Lot A |
6.48 |
4.94 |
5.84 |
4.54 |
6.13 |
4.71 |
6.12 |
6.47 |
4.86 |
|
Lot B |
6.62 |
5.7 |
5.35 |
4.92 |
5.09 |
5.09 |
5.36 |
5.09 |
5.19 |
||
|
2 |
FOT-17 |
Lot A |
5.87 |
4.78 |
4.3 |
4.75 |
5.46 |
5.71 |
5 |
4.64 |
4.63 |
|
Lot B |
6.41 |
4.8 |
4.5 |
5.03 |
4.58 |
4.56 |
4.97 |
4.16 |
5.15 |
||
|
3 |
FOT-18 |
Lot A |
6.17 |
5.16 |
4.88 |
4.93 |
4.39 |
5.63 |
4.72 |
6.45 |
5.06 |
|
Lot B |
4.96 |
5.56 |
6.06 |
4.42 |
4.67 |
5.81 |
4.2 |
3.9 |
4.87 |
||
Figure 4. Moisture content of granules of study batches.
Table 3. Lubrication assay of Folic acid.
|
S.N. |
Time |
Batch No. |
Lubrication Assay |
||||||||||||
|
Top (T1) |
Top (T2) |
Top (T3) |
Top Avg |
Middle (M1) |
Middle (M2) |
Middle (M3) |
Middle Avg |
Bottom (B1) |
Bottom (B2) |
Bottom (B3) |
Bottom Avg |
RSD % |
|||
|
1 |
2 Min |
FOT-16 |
101.3 |
101.4 |
100.5 |
101.1 |
101.0 |
101.1 |
102.5 |
101.5 |
101.0 |
100.3 |
101.5 |
100.9 |
0.622 |
|
FOT-17 |
105.9 |
106.6 |
107.2 |
106.6 |
104.1 |
104.0 |
103.6 |
103.9 |
106.7 |
106.2 |
107.2 |
106.7 |
1.37 |
||
|
FOT-18 |
109.1 |
110.5 |
109.7 |
109.8 |
111.1 |
110.9 |
110.8 |
111.0 |
110.6 |
110.8 |
111.0 |
110.8 |
0.617 |
||
|
2 |
3 Min |
FOT-16 |
101.0 |
101.1 |
101.0 |
101.0 |
101.7 |
101.2 |
101.0 |
101.3 |
101.9 |
100.3 |
101.0 |
101.0 |
2.962 |
|
FOT-17 |
107.2 |
105.9 |
106.9 |
106.7 |
102.9 |
103.1 |
104.4 |
103.5 |
106.3 |
107.5 |
106.1 |
106.6 |
1.625 |
||
|
FOT-18 |
108.7 |
109.4 |
110.0 |
109.4 |
110.0 |
109.9 |
110.6 |
110.2 |
109.1 |
108.1 |
110.1 |
109.1 |
0.84 |
||
|
3 |
5 Min |
FOT-16 |
100.3 |
100.6 |
99.7 |
100.2 |
101.0 |
101.1 |
100.7 |
100.9 |
101.2 |
100.8 |
98.5 |
100.2 |
0.861 |
|
FOT-17 |
106.9 |
107.2 |
107.1 |
107.1 |
105.0 |
102.7 |
102.6 |
103.4 |
106.0 |
106.9 |
106.8 |
106.6 |
1.756 |
||
|
FOT-18 |
110.1 |
109.4 |
108.9 |
109.5 |
106.4 |
112.0 |
112.4 |
110.3 |
111.1 |
110.6 |
112.5 |
111.4 |
1.783 |
||
Figure 5. Assay of lubricated granules at 2 minutes.
Figure 6. Assay of lubricated granules at 3 minutes.
Figure 7. Assay of lubricated granules at 5 minutes.
Table 4. In-process quality control parameters.
|
In-process quality control parameters |
|||||||||
|
S.N. |
Stage |
Batch No. |
Average Weight (95±7.5 % mg) |
Hardness (NLT: 3 kgf) |
Thickness (2.8-3.2mm) |
Friability (NMT1%) |
Disintegration Time (NMT: 15min) |
Assay % (90-115) |
Remarks |
|
1 |
Initial |
FOT-16 |
94.71 |
4.9-5.6 |
3.27-3.30 |
0.17% |
9 sec |
99.45% |
|
|
|
|
FOT-17 |
96.085 |
4.2-5.8 |
4.2-5.8 |
0.06% |
1 min 02 sec |
101.95% |
|
|
|
|
FOT-18 |
96.93 |
5.0-6.1 |
3.02-3.19 |
0.17% |
15 sec |
107.81% |
|
|
2 |
Middle |
FOT-16 |
96.915 |
5.2-5.7 |
3.23-3.29 |
0.14% |
8 sec |
103.39% |
|
|
|
|
FOT-17 |
95.77 |
4.1-5.6 |
3.07-3.18 |
0.08% |
56 sec |
100.51% |
|
|
|
|
FOT-18 |
97.092 |
5.1-7.0 |
3.01-3.16 |
0.15% |
19 sec |
108.56% |
|
|
3 |
Final |
FOT-16 |
96.605 |
5.2-6.3 |
3.23-3.25 |
0.03% |
13 sec |
104.05% |
|
|
|
|
FOT-17 |
95.8 |
3.8-5.0 |
3.01-3.19 |
0.25% |
37 sec |
103.69% |
|
|
|
|
FOT-18 |
95.755 |
5.0-7.1 |
3.02-3.12 |
0.17% |
20 sec |
107.35% |
|
Figure 8. Average compressed Folic acid tablet weight.
Figure 9. Percentage friability of Folic acid tablets.
Figure 10. Assay of compressed Folic acid tablets.
Yogesh Chaudhary*, Sailendra Chaudhary, Bipindra Pandey, Manima Maharjan, Mohit Khandelwal, Process Validation in Tablet Manufacturing: A Regulatory Compliance Case Study, Emphasizing Critical Process Parameters and Critical Quality Attributes, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 11, 4730-4744 https://doi.org/10.5281/zenodo.17758763
10.5281/zenodo.17758763