Application of QbD Principles for the Evaluation of Empty Hard Capsules as an Input Parameter in Formulation Development and Manufacturing
Understanding the product and process variable on the final product performance is an essential part of the quality-by-design (QbD) principles in pharmaceutical development. The hard capsule is an established pharmaceutical dosage form used worldwide in development and manufacturing. The empty hard capsules are supplied as an excipient that is filled by pharmaceutical manufacturers with a variety of different formulations and products. To understand the potential variations of the empty hard capsules as an input parameter and its potential impact on the finished product quality, a study was performed investigating the critical quality parameters within and in between different batches of empty hard gelatin capsules. The variability of the hard capsules showed high consistency within the specification of the critical quality parameters. This also accounts for the disintegration times, when automatic endpoint detection was used. Based on these data, hard capsules can be considered as a suitable excipient for product development using QbD principles.
KEY WORDScapsule development capsule specification hard capsules quality-by-design
Pharmaceutical products are high-quality products to combat acute or chronic diseases in a reproducible manner. These require that the products achieve the claims set forth on their label, are not contaminated and are readily available to the patients (13). Benchmarking of the pharmaceutical development and manufacturing process in the pharmaceutical industry against other industries in the late 1990s led to the introduction of the concept of quality-by-design (QbD) for pharmaceutical products. Guidelines were developed at the beginning of this century and introduced in 2006 through the ICH guidelines Q8, Q9, and Q10. QbD target the rational design and development of the formulation and manufacturing process based on a solid product and process understanding (14). Over the past few years, QbD has gained considerable acceptance throughout the pharmaceutical industry and has been successfully applied (5,9).
Hard gelatin capsule are a traditional pharmaceutical dosage form whereby the empty capsules are provided as an excipient for development and manufacturing. As a major excipient of the pharmaceutical product, the quality attributes of empty hard capsule is expected to play an important role in the final product quality and performance. The key quality attributes of capsules that determine the processability on the high-speed filling machines are the dimensional characteristics and the weight variability. The pharmacopoeial requirements regarding sulfur dioxide, sulfated ash, lubricants, and water content are considered by default as CQAs. With regard to the in vivo performance, the disintegration time can be considered as key quality attributes of the empty hard capsules.
The objective of this study was to understand the nature and extent of empty hard gelatin capsule variation over a manufacturing period of 24 months, analyze for potential variation within specification, identify any seasonality and impact of supply from different supplier manufacturing sites and to evaluate the criticality of the material attributes and characteristics of the empty capsules in consistently achieving the respective performance criteria. The data are supporting the risk assessment and will provide guidance to QbD product development describing the range of variability of the empty hard capsule as an input parameter in product development and manufacturing.
MATERIALS AND METHODS
The study was performed on hard gelatin capsules each of size 1 clear and size 1 opaque white capsules (ConiSnap®, Capsugel) stored within the recommended storage conditions of 15–25°C and 35–65% RH. For the evaluation of the physical data cap length, body length, weight, and disintegration, data from 42 different batches produced over 24 months between October 2007 and October 2009 were used, of which 21 batches were transparent capsules and 21 batches white opaque capsules. Data on disintegration, sulfur dioxide, sulfated ash, and lubricant content are regularly tested on random samples and the results monitored in a central data base were used in this study from nine worldwide manufacturing sites representing a period of 9 years. Additional disintegration tests using an automated endpoint detection system were performed on two different sizes (size 1 and 0) on a total of 144 samples of white opaque or transparent capsules.
Specification for the size 1 hard gelatin capsule
Type of capsule
Hard gelatin capsule (ConiSnap®)
9.78 ± 0.46 mm
16.61 ± 0.46 mm
19.4 ± 0.3 mm
76 ± 5 mg
Water content (LOD)
Transparent capsule < 2%
Combined capsules < 5%
Colored capsules < 7%
Capsule weight was measured using a Mettler Toledo-Type SAG 245 with an accuracy ± 0.2 mg. The weight was determined as a mean of 100 capsules for each batch across batches (overall weight) or on individual capsules (individual weight).
The length was measured using Capsize in-house dimension measurement system. The length was determined in the 42 different batches manufactured.
The disintegration test was performed according to European Pharmacopoeia (7th Ed) method 2.9.1., which defines the complete disintegration as the “state in which any residue of the unit, except fragments of insoluble coating or capsule shell, remaining on the screen of the test apparatus or adhering to the lower surface of the disks, if used, is a soft mass having no palpably firm core.” Disintegration of capsules was measured using a disintegration apparatus Sotax DT3 consisting of a rigid basket-rack assembly supporting six cylindrical glass tubes. Water at 37° ± 2°C was used as a medium and a disk was added to keep the capsules in the media. For each test, the basket and the disk was dried prior to use in the disintegration test. The endpoint was determined visually by the operator and by an automated endpoint detection system using a disintegration apparatus equipped with automated detection of the endpoint—model from Sotax DT2 Serie N°5021.023. The endpoint of the automatic detection system is defined as the time by when the dosage form is disintegrated and the disk gets in contact with the stainless steel wire cloth at the bottom of the disintegration tube.
Loss on drying (LOD) was determined according to European Pharmacopoeia (7th Ed) 2.2.32. Loss on drying (d) based on ∼3 g of capsules (weighed to 1 mg accuracy representing ∼40 size 1 capsules). The capsules were placed on a previously dried weighing dish and dried in an oven at 105 ± 2°C to constant mass and cooled down to room temperature in a desiccator over silica gel before weighing. Loss on drying is the loss of mass expressed as volume percent.
Sulfated ash was determined according to the monograph in the European Pharmacopoeia (7th Ed.) method 2.4.14 Sulfated Ash. The analysis was performed using 2 g of capsules, which is equivalent to about 80 size 1 capsules.
The sulfur dioxide content was determined applying the European Pharmacopoeia (7th Ed.) monograph 2.5.29 Sulfur dioxide; 25 g of capsules were used for each analysis.
Microbiological specification for capsules according to the European Pharmacopoeia
Total aerobic microbial count
Total yeasts/molds count
Absence in 1 g
Absence in 10 g
Absence in 1 g
Absence in 1 g
Lubricant content was measured in 4 g of capsules separated into cap and body. Methylene chloride was added to the capsules until completely covered and then the capsules were agitated for 5 min minimum. The extract was transferred to a previously dried and tarred flask and the operation was repeated once more with a further sufficient amount of methylene chloride. The solvent was gently evaporated avoiding any boiling, the flask was dried in the oven (103–107°C) for about 2 h before cooling down to room temperature in a desiccator. The residue was weighed and calculated as a percentage of capsule weight. The lubricant content should not exceed 0.5%.
Data analysis was performed using the Minitab software. The data were processed through the software using the capability analysis of the statistical quality tool of the software.
Summary of distribution of variability for physical data responses
Between lot (%)
Within lot (%)
Length of body (mm)
Length of cap (mm)
Capsule weight (mg)
Disintegration times detected automatically ranged repeatedly between 60 and 180 s. Compared to the visually detected disintegration times, the automatic endpoint detection confirmed fast and consistent disintegration of the capsules for all batches tested.
Loss on Drying
QbD aims to establish a solid product and process understanding to increase the overall product quality and safety. Excipients are considered to be critical input parameter for potential variability. These variabilities need to be understood and eventually evaluated for their impact on the product and the process to achieve consistently the desired quality and performance. Excipients therefore must follow the same QbD principles during their own development and manufacturing. The application of QbD principles to the hard gelatin capsules as a component to a final drug product have been performed on a set of suggested CQA and within the recommended storage and processing conditions for the capsule of 15–25°C and 35–65% RH.
The dimensional and weight specifications are considered critical for the manufacturing of capsule products on the high-speed filling machines, which produce up to 250,000 capsules per hour. Dimensional variations can cause issue on the rectification, feeding, opening and closing of the capsules at high speed leading to machine stops and damaged capsules. Other pharmacopoeial capsule specifications like sulfur dioxide, sulfated ash, and lubricant content are less critical but might have an impact on the stability of a specific drug formulation in the hard capsule and should therefore be reproducible. As gelatin is derived from a natural source, there is a risk for microbiological contamination of the empty capsule. The capsule disintegration has been determined as a CQA for the in vivo release of the drug formulation. Hence, the above-defined parameters have been suggested as CQA of the empty capsule because they are considered as “critical” or “key” factors for the product quality attributes (4).
The results provide evidence that the CQA remained well within their specified ranges. Moreover, the data showed that the variability within and between batches on an average sample, as well as an individual sample basis, is represented well by the specification ranges. The data provided cover different capsule batches manufactured over a period of at least 24 months at different locations and therefore are considered representative for the routine manufacturing process of empty hard gelatin capsules.
The capsule weight is a critical parameter that can impact the dimensions, machinability and disintegration behavior. The data show that the capsule weight is well within the specified 71–81 mg (average 76 mg) for the average weight as well as for the individual capsule weight of the size 1 capsule. The specification limits represent the operating space of the capsule manufacturing, showing capsule weights at the upper and lower end within one batch and across batches.
The dimensional data for capsule body length and capsule cap length are within the specifications and no difference has been observed between transparent capsules and opaque capsules containing dyes. Within the physical data, the major source of the variability for a single capsule is down to within lots, i.e., noise in the process. There is a low probability that a batch will be produced with a mean out of specification, but this risk can be minimized by ensuring that the variability between lots is as low as possible, thereby maximizing process capability statistics.
The disintegration test is a pharmacopoeial procedure used for immediate release oral product performance. The disintegration test is described in the 7th edition of the Ph. Eur. under monograph 2.9.1 Disintegration of tablets & capsules, in the 15th edition of the JP under 6.09 Disintegration test and the USP 30 monograph <701> Disintegration test. A harmonized guideline has been published by the ICH in the Q4B Annex 5 guideline Disintegration Test General Chapter from June 2009. The endpoint of the disintegration test is determined by the operator as “… the state in which any residue of the unit, except fragments of insoluble coating or capsule shell, remaining on the screen of the test apparatus or adhering to the lower surface of the discs…”. For two-piece capsules, the endpoint of the disintegration means the complete dissolution of the shell and does not take into account the initial rupture of the capsule. The rupture is the time point when the shell wall breaks up and releases the formulation into the media to dissolve. Rupture times of the capsule appears much faster than the complete dissolution of the shell (7,8). Moreover, it has been demonstrated that the results of the disintegration test are sensitive to the chosen test conditions and might vary dependent on the formulation filled (1,3). The operator endpoint determination depends on the operators’ judgment by when the unit is disintegrated and the residues are considered fragments. With below 15 min (or 900 s) for both tablets and capsules, the disintegration time is quite unspecific and set as a fail or pass criteria. Operator-determined disintegration times of the capsules are ranging from 50 to 850 s (Fig. 5), with the majority being determined after 300 s and a distinct population being at 700 s. To overcome the operators’ subjective endpoint determination, a disintegration test system with automatic endpoint detection was investigated using 144 samples from different batches. Compared to the operators’ visual endpoint determination, the results from the automatic endpoint detection show significantly lower variability in the results centering around 110 s, with the lowest disintegration time at 70 s and the longest at 180 s (Fig. 6). These results are significantly different compared to the results from operators’ determined endpoints who suggested much longer disintegration times in general.
Some specific observations with capsule disintegration might be due to methodological settings. Gelatin capsules easily tend to stick to wet surfaces resulting in slowly dissolving gelatin plaques on the surface. Even in the disintegration test with automated endpoint detection gelatin residues sticking to the mesh or the disk have been observed to prevent signaling. The issue has been specifically observed when the capsules were exposed to wet disintegration baskets or disks resulting in longer disintegration times. The automatic endpoint detection system is a novel method and further studies will be performed to confirm the validity and consistency of the disintegration time using automatic endpoint detection systems in comparison to the traditional visual endpoint detection.
In case of formulating capsule products which are sensitive to moisture, the LOD of the capsules when introduced into the process might be a critical quality attribute for product stability. In such a case, the LOD of the capsules can be adjusted to a certain range even below 13% by exposure to lower relative humidity during processing or storage. The respective design space defined for the capsule LOD will have to be evaluated in a set of Design of Experiments (DoE) with the finished product to investigate the impact of the lower LOD level on the mechanical resistance of the shell (brittleness), the product performance and the handling by the patient.
The sulfated ash residue is determined by the mineral content of the capsules, which arises from the combination of the gelatin and the colorants. Since the recommended maximum colorant level is 4%, the maximum sulfated ash content of the capsules should not exceed 7%. Levels of sulfated ash have not been found to be outside of the specification.
According to the specification, the sulfur dioxide concentration might reach 50 ppm as a residual component from the gelatin-manufacturing process. During the past 6 months, sulfur dioxide was not determined in hard gelatin batches and the maximum level over the past 5-year period reached a maximum of 20 ppm. For products sensitive to sulfur dioxide, it may be necessary to design specific experiments to evaluate product stability at a 50-ppm level to build the evidence that the specification reflects the design space of the product. In case that a higher sulfur dioxide concentration is critical for a given compound, the specification of the capsule can be lowered to a level at the upper end of the normal operating space.
The microbiological determination revealed the absence of CFU in the majority of batches and a contamination at the upper end of the capsule specification of ≤1,000 CFU in two batches. Gelatin is a natural material that can be contaminated during the manufacturing or during the preparation of the gelatin solution for the capsule manufacturing. In gelatin solution, the microorganisms can grow from single cells exponentially but can also decline over time when water is removed due to the changing microenvironment up to cell death (11). Water activity (aw) has been found to be critical for the survival of the microorganisms with a very abrupt threshold level between growth and nongrowth (12). The minimum aw required for the growth of Listeria innocua in gelatin has been determined to be between 0.935 and 0.946, with no growth observed at 0.911 and below (6) which was consistent with aw minimum growth levels found in other media like NaCl, sucrose, and glycerol (10). The aw of gelatin is dependent on the water content in the gelatin solution, which decreases from about 40% during the manufacturing down to the specified water content of 13–16% in the finished capsule. The respective aw declines from 0.96 down to 0.4–0.6 in the finished capsule, which is significantly below the minimum threshold for growth and survival (6). This is in accordance with internal findings of the empty capsule stability program that the microbiological counts tend to decrease during the storage of the capsule.
The dipping pins are lubricated at the start of each cycle to enable the dry capsule to be stripped off the pins smoothly. The amount of lubricant is controlled as part of the production process and monitored on a nonbatch specific basis. The target is <0.5% w/w of capsules but typical levels are <0.1% w/w, which means that the normal operating range is at the very low end of the specification. Within the development program of a product, the likelihood of testing all the boundaries of the specification is low and leaves a potential gap between the control space defined by the specification and the knowledge space evaluated in the development of the product.
Selection and qualification of the raw materials for the empty capsule manufacturing is most important to achieve the desired capsule properties consistently. With a global qualification and supply program, as well as the harmonized manufacturing equipment and processes, product consistency was assumed for the empty capsules. The samples tested represented several batches manufactured over 24 months and were collected from different manufacturing sites. No differences between the tested CQAs were identified confirming that there are no seasonal or site-to-site differences present.
This study explores the variability of standard empty gelatin capsule within the recommended storage and processing conditions as an input parameter for product development and manufacturing. These data provide relevant information for the determination of a potential impact of the empty capsule on the product quality during the risk assessment. The impact of formulation and process parameters on the capsule performance (e.g., residual aldehydes, hygroscopicity) or the impact of the capsule characteristics on a specific formulation (e.g., capsule moisture) are beyond the scope of this study. Such product-specific CQAs need to be determined during the risk assessment and evaluated in product-specific DoE within the drug product and process development program. Based on these data provided on standard hard gelatin capsules, product-specific or customized specifications and variability of hard gelatin capsules can be defined.
The considered CQAs of empty hard capsules have been investigated across 42 different batches manufactured over a 24-month period and based on data from the routine stability program of the empty hard capsule manufacturing over a period of 9 years. The specifications as set forth by the pharmacopoeia and the capsule manufacturer represent well the operational space for the hard capsule manufacturing during the observed period. The individual capsule data revealed the within and between batch consistency and statistical distribution across the specification range. The disintegration time, which is considered to be a CQA for capsule product performance by visual endpoint detection, varied significantly between the batches. Automated endpoint detection was able to overcome the subjective endpoint determination and showed consistency within and between different batches. Further disintegration studies will be performed to confirm these findings. The hard capsule is a suitable excipient for QbD drug development and manufacturing with acceptable variability within a consistent and narrow range, well defined by its specifications.
- 2.Cadé D, Madit N. Liquid filling in hard gelatin capsules—preliminary steps. Bull Technol Gattefosse. 1996;89:15–21.Google Scholar
- 4.EMA-FDA pilot program for parallel assessment of Quality-by-Design applications: lessons learnt and Q&A resulting from the first parallel assessment. EMA/430501/2013. August 20, 2013Google Scholar
- 7.Ludwig A, Van Ooteghem M, Delva A. Disintegration of hard gelatin capsules. Part 1: composition and structure of the capsule wall. Pharm Ind. 1979;41:769–98.Google Scholar
- 8.Ludwig A, Van Ooteghem M. Disintegration of hard gelatin capsules. Part 2: disintegration mechanism of hard gelatin capsules investigated with a stereoscopic microscope. Pharm Ind. 1980;42:405–6.Google Scholar
- 9.McCurdy V, am Ende MT, Busch FR, Mustakis J, Rose P, Berry MR. Quality by Design using an integrated active pharmaceutical ingredient – drug product approach to development. Pharm. Engineer. 2010;4:12–32.Google Scholar
- 13.Woodcock J. The concept of pharmaceutical quality. Am Pharm Rev. 2004;6:10–5.Google Scholar