Next Article in Journal
Renal Artery Catheterization for Microcapsules’ Targeted Delivery to the Mouse Kidney
Next Article in Special Issue
Nanocrytals-Mediated Oral Drug Delivery: Enhanced Bioavailability of Amiodarone
Previous Article in Journal
Plasma-Enabled Smart Nanoexosome Platform as Emerging Immunopathogenesis for Clinical Viral Infection
Previous Article in Special Issue
Enhancing Dissolution and Oral Bioavailability of Ursodeoxycholic Acid with a Spray-Dried pH-Modified Extended Release Formulation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Introducing Fiber-Assisted Colorimetric Measurements as a Quality Control Tool of Hot Melt Extruded Filaments

Institute of Pharmaceutics and Biopharmaceutics, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany
*
Author to whom correspondence should be addressed.
Pharmaceutics 2022, 14(5), 1055; https://doi.org/10.3390/pharmaceutics14051055
Submission received: 14 April 2022 / Revised: 10 May 2022 / Accepted: 11 May 2022 / Published: 14 May 2022
(This article belongs to the Special Issue Feature Papers in Physical Pharmacy and Formulation)

Abstract

:
Pharmaceutical and medicinal printing technologies allow personalization and on-demand manufacturing of drug and medicinal products. Being able to manufacture patient tailored dosage forms or medical devices in a pharmacy, medical office, dental laboratory, or hospital at the point of care raises new demands on quality control procedures. For Fused Deposition Modeling, for example, it must be ensured that the starting materials, the (drug-loaded) filaments, are not accidentally exchanged by the operator. This study investigated the potential of colorimetric measurements for direct and indirect determination of the identity of extruded filaments consisting of polymer matrix, different API and/or coloring agents. Since reflection measurements were affected by surface properties of the filaments, a self-constructed filament holder was utilized with an optical fiber positioned in a 180° angle to a white light LED to perform transmission measurements. It was possible to distinguish filaments with different API concentrations by their color values, taking into account that transmission partially decreased by increased API concentration. Therefore, the intensity of the light source had to be adjusted depending on the transparency of the filament. It was shown that colorimetry can be used as a quality control tool to detect differences in drug-loading and is able to distinguish various extruded batches. Additionally, if differences in API/polymer concentrations do not lead to significant changes in L*a*b values, coloring agents were used as additives in low concentrations to color code filaments. In future studies, the setup must be supplemented with a standardized light source and obscuring filters for light intensity adjustments.

1. Introduction

The application of 3D printing for patient-specific therapy is gaining more and more interest, as medical and pharmaceutical 3D printers as well as medical grade printing materials are already commercially available. The “one-size-fits-all” approach is being replaced more and more by targeted and personalized medicine [1]. With the help of medical Fused Deposition Modeling (FDM) 3D printing, patient-specific medical devices, such as implants, prostheses, and surgical guides are printed using biocompatible materials (e.g., PCL, PLA, PVA). Additionally, non-biocompatible materials (e.g., ABS, TPU) are used for printing medical models for perioperative surgical planning and simulations [2]. In pharmaceutical FDM 3D printing, various thermoplastic polymers are processed by hot melt extrusion (HME) with active substances [3]. The intermediate filament is then used to produce solid dosage forms such as tablets, capsules, inserts, implants, and films [4]. The ongoing research may lead to a future where solid dosage forms will be printed at the point of care (PoC) allowing personalization of drug content, drug release, and the supply of medicines containing more than one drug for the treated patient [5]. To avoid incorrect application when using a wide variety of pharmaceutical grade filaments, for example in hospitals or local pharmacies, the fact that the matrix, the active ingredient, and/or other additives are responsible for the coloration of the filaments might be used for colorimetric measurements. In this context, the CIE L*a*b* (CIELAB) color space introduced by the International Commission on Illumination in 1976 was utilized, where colors are defined by three unique values: L* for lightness, a* for red and green color, and b* for blue and yellow color [6]. While L*-values can vary between 0 (black) and 100 (white), both a* and b* values range from −128 (a*: green, b*: blue) to +127 (a*: red, b*: yellow), which leaves theoretically 6.5 million possibilities for describing different colors [7]. These L*a*b* values are distributed in the three-dimensional space in such a way that a sphere results (Figure 1). For pharmaceutical applications, colorimetry has already been tested as a quality control (QC) tool for various drug preparations since it represents a non-destructive characterization method [8]. For tablet analysis, Siddiqui et al. could determine a correlation between the surface color and tensile strength of tablets and were also able to detect deviations in tablet hardness through differences in color measurements [9]. Differences in surface color of coated tablets were studied by Bogdansky [10]. Berberich et al. were able to determine the period of time uncoated tablets remained white during storage by color measurement [11]. Gren and Nyström used colorimetry for an estimation of the surface coverage of particles with colored and uncolored stearic acid [12]. Barimani et al. used CIELAB measurements for visual inspection of tablet coating produced with continuous direct compression to ensure a defect-free coating of each measured tablet [13]. CIELAB measurements were also performed by Lakio et al., who analyzed granules and pellets as color indicators for potential heat stress during drying processes [7]. Wickström et al. detected vitamin B containing layers conducted by Inkjet-Printing via differences in CIELAB values but were limited to differentiating between the first 5–6 printed layers since the b* value reached color saturation [14]. The findings of the listed studies were taken as an example to use the distinguished extruded pharmaceutical filaments. For this purpose, a filament holder was designed, where the filament could be inserted and both reflection and transmission measurements could be performed. An optical multi-core fiber was used, which can both transmit light from a white light LED towards the sample and collect light after reflection. The same fiber was used collecting light from a second LED after being transmitted through or partly directed around the filament. The fade of the applied electromagnetic radiation and light scattering effects caused by the filament geometry and composition are not analyzed in depth in this study. In this study, the aim was to investigate, whether the difference in concentration of an active pharmaceutical ingredient (API) is reflected in measurable color difference of the filaments. Pramipexol (P), levodopa (LD), benserazide (BZ), and praziquantel (PZQ) served as model APIs. Since the active ingredients led to a change in transparency, it was important to ensure that the light intensity was appropriate to visualize differences between the active ingredients or active ingredient concentrations. If a dose increase and associated change in polymer-API concentration did not result in a desired color change, a pharmaceutical coloring agent was added to the formulation [15,16,17,18]. Here, it was necessary to conduct preliminary tests without an active ingredient to determine which differences in concentrations of the additive led to significantly different color values in the CIELAB color space. The added color agents were either dissolved or dispersed in the polymer melt. The bright yellow, crystalline powder riboflavin (RF), also known as vitamin B2, and indigo carmine (IC), a blue coloring agent, were chosen to serve as additives. Thus, when both coloring agents were used (yellow and blue) the extruded filaments appeared green. Thereby, only slight differences in the concentration of the coloring agent were chosen to analyze whether these were also reflected in different color values. The dosing accuracy during extrusion was examined in content uniformity studies conducted via high-performance liquid chromatography (HPLC) analysis. These experiments were performed to develop new analytical techniques for dosage investigation, batches of filaments consisting of different concentrations of API, and indirect determination using a coloring agent on the polymer-API composition using CIELAB measurements.

2. Materials and Methods

The polymers including ethylene-vinyl acetate copolymer (EVA, 82:18, Escorene®, FL 01418, TER Chemicals, Hamburg, Germany) and vinylpyrrolidone-vinyl acetate copolymer (VA, 6:4, Kollidon® VA 64, BASF, Ludwigshafen am Rhein, Germany) served as polymer matrices. Four thermal stable model substances, praziquantel (PZQ, Bayer AG, Leverkusen, Germany), levodopa (LD, Zhejiang Wild Wind Pharmaceutical Co. Ltd., Dongyang, China), benserazide hydrochloride (BZ, s.p. Quimica, Tarragona, Spain), and pramipexole dihydrochloride monohydrate (P, Chr. Olesen, Copenhagen, Denmark) were tested in this study. For coloring agents, riboflavin (RF, Caesar & Loretz GmbH, Hilden, Germany) and sodium 3,3′-dioxo-[2,2′-biindolinylidene]-5,5′-disulfonate (indigo carmine, IC, bld pharmatech GmbH, Kaiserslautern, Germany) were used.

2.1. Hot Melt Extrusion

All filaments were prepared by HME using a co-rotating twin-screw extruder with a hot-melt extrusion die (Pharmalab HME 16, Thermo Fisher Scientific, Waltham, MA, USA). A gravimetric feeder (K-SFS-24/6, Coperion, Stuttgart, Germany) was used for all experiments. An in-house manufactured die with a diameter of 1.85 mm was used. The desired filament diameter was achieved using a belt hauled-off unit of a winder (Brabender, Duisburg, Germany) with a belt speed of 1.5–1.9 m/min and the filament was pulled through a roll-system with four 360° air flow ring nozzles (Super Air Wipe, Exair, Cincinnati, OH, USA) for active cooling of the filament. With a laser-based diameter measurement module (Laser 2025 T, Sikora, Bremen, Germany) the filament diameter was controlled [19]. The screw speed was set to 30 rpm and powder feed rate to 5 g/min. The screw configuration included two kneading zones and a degassing port was installed [20]. All temperatures of the heating zones were set for each extrusion according to Table 1 depending on the polymer matrix of the filament [21,22]. The powder mixtures were blended for 20 min in a Turbula® mixer. Filament samples were only collected when extrusion runs reached equilibrium condition for drug content [20].

2.2. Colorimetry Measurements of Filaments

The hot melt extruded filaments were cut into filament sticks of 4 cm and were placed in an in-house produced stainless steel sample holder with an inner diameter of 1.9 mm. Dual output channels of the power supply (Rigol DP832, Meilhaus Electronic GmbH, Alling, Germany) were utilized for the regulation of two light-emitting diodes (LED, 333-2UTC/S400-A6, Everlight, Hsinchu, Taiwan). For the assembly of the individual components for colorimetric measurements, a system bar, sliders, a mounting cube, a tower, and a height adjustable table were obtained from OWIS® (OWIS GmbH, Staufen im Breisgau, Germany).
For reflection measurements, a dual fiber optical probe with SMA connectors (SMA905, Ø600 µm, 300–1200 nm, BFY600HS02, Thorlabs, Newton, NJ, USA) was attached to the sample holder and was guided from the LED to the sample and backwards to the camera (WIFI Digital Microscope 8595776342, AHSNOPTIC, Beijing, China). In a second setup (Setup 2, Figure 2), the dual fiber bundle was exchanged to a multi-core fiber probe (RP21, Ø200 µm, 400–2400 nm, FG200LEA, Thorlabs, Newton, NJ, USA), whereby a single fiber leg was directed to the first LED for reflection measurements. The probe leg “6-around-1” fiber configuration was guided to the sample and the 6-fiber leg was directed to the camera. For transmission measurements, a second LED was installed in an 180° angle to the above-mentioned fiber probes using the same orientation of the fiber legs and the same camera (Figure 2). The fibers were directly attached to the filament holder or fixed on adjustable sliders (OWIS GmbH, Staufen im Breisgau, Deutschland) in front of the LED or the camera with SMA connectors. Through an integrated metal platform tensioned by two springs within the holder, the filament was always in contact with the curvature facing the fiber optic probe to ensure accurate positioning.

2.3. Data Evaluation of Colorimetry Measurements

The mean L*, a*, b* values of the pictures illustrating the respective fiber leg were obtained by analyzing a defined area via Corel® PHOTO-PAINT X7 (17.6.0.1021). Mimicking the circular surface of the fiber, a circular area was selected as the to be analyzed area, but edge areas were left out (Figure 3). Only one L*, a*, and b* value per filament was measured in the first set up, since a single fiber leg was analyzed. For the second set up, six circular areas were evaluated separately or a mean value of all six fiber bundles with standard deviation was calculated for each filament.

2.4. Reference Method for Determination of Drug Content (HPLC-UV)

For sample preparation, filaments were dissolved in flasks (n = 10), which were filled with demineralized water up to 50 or 100 mL. All the agents that were used except EVA are water soluble. The content of drug-loaded filaments was determined by high performance liquid chromatography (HPLC) analysis. The HPLC system (Dionex, Sunnyvale, CA, USA) was equipped with a quaternary pump (P 580 A, Dionex, Sunnyvale, CA, USA) and an autosampler (ASI-100, Dionex, Sunnyvale, CA, USA). A 250 × 4.6 mm column (Eurospher II 100-5 C18A, Knauer, Berlin, Germany) with an integrated precolumn was used. Three different HPLC methods were used for the analysis of the active and color ingredients. For the first method, ammonium acetate buffer and methanol (mobile phase B) served as eluents. The gradient was set as follows: mobile phase B was increased from 1 to 5% (v/v), within the first minute, held at 5% (v/v) for 4 min, increased from 5 to 10% (v/v) within 1 min, held at 10% (v/v) for 4 min, increased again from 10 to 20% (v/v) within 1 min, held for 4 min at 20% (v/v), increased again from 20 to 99% (v/v) within 5 min, held for 2 min at 99% (v/v) and decreased to 1% (v/v) within 0.5 min, again until 22.5 min after sample injection [23]. An equilibration time of 3.5 min per run was maintained before the next sample was injected. An injection volume of 200 µL was chosen to analyze benserazide (280 nm), levodopa (280 nm), pramipexole (264 nm), and indigo carmine (280 nm). The second HPLC method was used to quantify praziquantel at the wavelength of 280 nm. Phosphate buffer and acetonitrile (mobile phase B) served as eluents and the flow rate was 1.5 mL/min. The gradient was set as follows: mobile phase B was increased from 30 to 95% (v/v), within the first 8 min, held at 95% (v/v) for 3 min, decreased to 30% (v/v) within 1 min, again until 12 min after sample injection. An equilibration time of 2 min per run was kept before the next sample was injected. The third HPLC method was necessary to evaluate the concentration of riboflavin (280 nm). Phosphate buffer and acetonitrile (mobile phase B) served as eluents and the flow rate was 1.0 mL/min. The gradient was set as follows: mobile phase B was stable at 10% (v/v) the first 5 min, increased to 20% (v/v), the next 15 min, held at 20% (v/v) for 5 min, increased again to 50% (v/v) within 10 min, held at 50% (v/v) for another 10 min, and decreased to 10% (v/v) within 2 min, again until 47 min after sample injection [24].

3. Results

3.1. Transmission and Reflection Measurements of Filaments

When comparing reflection and transmission measurements, it is noticeable that the resulting L*a*b* values of the two measurement techniques using Setup 1 (Figure 2) give very different results when analyzing the same filament batch. For example, the L* value obtained by a transmission measurement of filaments consisting of vinylpyrrolidone-vinyl acetate copolymer and 5% (w/w) pramipexole (VA-5% P) is 18.4, and reflection measurement for the same batch the median L* value is 82.6 (Table 2). All b* values obtained by transmission measurements differ from the results of the reflection measurements of both the three batches with pramipexole and the three batches with praziquantel. While the median b* value obtained by the transmission measurement of VA-1% P is 7.4, of VA-5% P is 8.5, and of VA-10% is 9.1, the median b* values obtained by reflection measurements for all three batches are −0.2 ± 0.3. b* values of −3.0 ± 0.3 were measured for all three batches of vinylpyrrolidone-vinyl acetate copolymer-praziquantel filaments with a drug load of 5, 10, and 15% (w/w) (VA-5% PZQ, VA-10% PZQ, VA-15% PZQ) using the transmission assembly of Setup 1. Reflection measurements of these praziquantel filaments obtained median b* values of 16.7 ± 1.1. Similar values for transmission and reflection measurements were found for the L* values of VA-1% P filaments (transmission: x ¯   = 60.4, reflection: x ¯   = 66.7) and for the a* values of this batch (transmission: x ¯   = −7.9, reflection: x ¯   = −8.3). Nevertheless, it can be concluded that when specifying the L*a*b* values, it should always be mentioned at which angle the emitted light is collected by the fiber and, therefore, specify if the filament was analyzed in reflection or transmission. The reflectance measurements show higher deviations of L*a*b* values compared to the transmission measurements (Figure 4). The determination of the filament content does not reflect the large deviations of the reflection measurements, so it was concluded that this was due to the measurement method. The high variations might be caused by the varying positioning of the filaments to the two-fiber leg due to the cylindrical geometry of the sample, by composition of the matrix (e.g., suspended particles) and by surface irregularities resulting in complex scattered light effects. Thus, it was decided that only transmission measurements would be performed for further measurements. However, it is noticeable that the L*a*b* values of the transmission measurements for all three batches of VA-PZQ filaments show very similar values. For VA-P filaments, on the other hand, a different L* value occurs for the filament batch of VA-1% P compared to the other two filament batches with pramipexole.
This can be explained since pramipexole is suspended in the VA matrix and filaments with 1% pramipexole are transparent and both the 5% and the 10% pramipexole filaments are not translucent. Consequently, the VA-1% P filament batch can be clearly distinguished from the VA-5% P and VA-10% P batches by the L* value, although the b* value is very similar compared to the other two pramipexole batches and the a* value shows a very high deviation and does not show a significant difference. To further optimize the transmission measurements and reduce the potential uncertainty of differences in reflection of the incident light caused by the curvature of the filaments, a new fiber bundle with a 6-fiber end was used (Setup 2, Figure 2).

3.2. Optimization of Transmission Measurements with Setup 2 and Voltage Adaption

Compared to Setup 1, the emitted light was not collected by only one fiber, but by six circular arranged fibers (“6 around 1” fiber leg) so that light was captured from six different angles. In the 6-fiber leg, the fibers are arranged in such a way that one fiber is centered, which can lead to irritations since the fiber was circularly arranged at the sample side. It is noticeable that the captured images of the 6-fiber leg show different L*a*b* values for the six individual fibers (Table 3).
A regularity could not be found with respect to which fiber was consistently darker or lighter (L* value), or whether the a* and b* values showed systematic tendencies. The L* value shows the greatest fluctuations for the VA-1% P filament and varies between 49.8 (fiber 1) and 58.9 (fiber 6). Here, the b* values also differ by 5.0 (9.0 and 4.0), but the a* values are nearly the same (−8.6 and −8.1). For the other measured values, the fluctuations of the L*a*b* values are in the range of 0.5–1.8. However, the obtained data lead to the assumption that there was a variability in L*a*b* values due to the geometry of the filaments. Additionally, the influence of the brightness of the imaged fiber on the a* and b* values was investigated by varying the light intensity of the LED. The different L*a*b* values of the six fibers of EC- 20% LD/5% BZ, VA-5% P, and VA-10% PZQ filaments by varying the voltage of the LED from 2.30 to 3.20 V are listed in Table 4.
By setting low volt values, the fibers appear black, and at high volt values, they appear white. In both cases, color differences can no longer be observed between the six fibers. If the filaments were not transparent and/or colored (EC- 20% LD/ 5% BZ filaments) a higher voltage of the LED had to be set so that color values of the respective fibers could be determined. For EC- 20% LD/ 5% BZ filaments 2.80 V were applied to ensure that the brown color of the filaments could be determined from the fibers. For VA-5% P filaments, voltages below 2.40 led to black fibers and voltages above 2.80 V resulted in white fibers. Similarly, for VA-10% PZQ filaments voltages above 2.80 V led to white fibers. Since the filaments were transparent, 2.50 V still caused fibers to appear white, but at 2.40 V the fibers were already very dark. To understand the light intensity dependent influence on a* and b* values, the voltages were systematically changed and the L*a*b* values were determined (Figure 5, Figure 6 and Figure 7). There was a noticeable difference between the a* and b* values: the brighter or darker the imaged fiber was, the closer the two values approached to zero. This can be explained by the fact that the L*a*b* color space is represented three-dimensionally as a sphere (Figure 1). White has the L*a*b* value of L* 100 a* 0 and b* 0 and black has the L*a*b* value of L* 0 a* 0 and b* 0 and consequently the color value of a very bright fiber approaches the L*a*b* values of white and dark fibers approach the L*a*b* values of black [25]. We also observed that the L*a*b* values for the filaments changed as a function of the brightness of the LED, respectively, the voltage setting. For EC- 20% LD/ 5% BZ filaments, throughout the range of L*, the a* values only slightly decrease. However, the b* value indicates a maximum value of 22.0 ± 7.3 at 2.77 V, when the L* value is 43.4 ± 11.8 (Figure 5). This is consistent with the observations in Table 4, where the setting of 2.80 V shows fibers that appear yellow/brown, which affects the b* value.
For the three filament batches with different pramipexole concentrations, the a* and b* values differ regarding the voltage of the LED (Figure 6). For VA-1% P filaments, the highest b* value of 6.06 is at 2.47 V, for VA-5% P filaments the highest b* value is at 2.63 V and corresponds to 9.61, and for VA-10% P filaments the highest b* value of 8.84 was measured at 2.52 V. The range for VA-1% P filaments, in which the measured a* and b* values differ from −4 ± 6, is from 2.40 to 2.57 V.
For the other two pramipexole batches, the range is between 2.44 and 2.67 V (VA-5% P filaments) and between 2.44 and 2.72 V (VA-10% P filaments). For the comparative measurements of the pramipexole batches, 2.50 V was selected, which was in the mentioned detection ranges and at the same time resulted in differences in L*a*b* values of the three batches. The same measurements were performed with all three praziquantel filament batches (Figure 7). The a* and b* values of all three batches varied from −8 to 1 despite one outlier at −17 (b* value of VA-10% PZQ batch), which indicates the difficulties in seeing significant differences between the three batches with different API contents. For VA-5% PZQ filaments, the minimum b* value of −5.69 is at 2.42 V, for VA-5% PZQ filaments the lowest b* value is at 2.43 V and corresponds to −5.66, and for VA-10% PZQ filaments the lowest b* value of −5.89 was measured at 2.44 V. The range for VA-5% PZQ filaments, in which a* and b* values differ from 0 ± 1, is from 2.39 to 2.48 V. For the other two praziquantel batches, the range is between 2.41 and 2.45 V (VA-10% PZQ filaments) and between 2.36 and 2.47 V (VA-15% PZQ filaments). Again, 2.50 V was selected for the comparative measurements of the three praziquantel batches. Distinct clusters are noticeable in the 2D graphs of the pramipexole batches (Figure 8A). Thus, the VA-1% P filaments are characterized by the highest L* values and the lowest a* values. The b* values are similar to the b* values of the other two batches. The clusters of VA-5% P filaments and VA-10% P filaments are closer to each other. However, the L* values of VA-5% P filaments are higher and both the a* and b* values are lower in comparison to the a* and b* values of VA-10% P filaments. Clusters can also be identified for the praziquantel-containing filaments (Figure 8B). However, it is not possible to see significant differences between the batches since the standard deviations are very high and overlap for all three values. A trend can be recognized that with increasing concentration of praziquantel the L* and a* decrease, and the b* value increases. As the three different praziquantel batches could not be significantly distinguished by colorimetric measurements, two coloring agents, which are commonly used in pharmaceutical coating processes [26,27], were added in different concentrations to create variability in L*a*b* values due to additives.

3.3. Color-Coded Filaments

To be able to distinguish filament batches by colorimetry, as the polymer-API filament compositions do not lead to a desired difference, coloring agents commonly used in pharmaceutical production were added to the powder mixture and were incorporated together with VA and praziquantel by HME. The excipients riboflavin (yellow) and indigo carmine (blue) caused the filaments to appear green. By maintaining the riboflavin (RF) concentration and only increasing the indigo carmine (IC) concentration, the ratio of additives changed from 1:1 (0.1% (w/w) RF, 0.1% (w/w) IC) for VA-5% PZQ filaments to 1:3 (0.1% (w/w) RF, 0.3% (w/w) IC) for VA-10% PZQ filaments, and to 1:5 (0.1% (w/w) RF, 0.5% (w/w) IC) for VA-15% PZQ filaments. The concentrations of the three ingredients (API and coloring agents) were analyzed by HPLC analysis and are shown in Table 5.
Again, seven different voltages were tested, and 2.50 V was selected for the comparative measurements of the three green praziquantel batches (Figure 9). According to the expectations, a significant difference in the L*b* 2D graph was found due to the addition of excipients that affect the b* value significantly. Why the b* values of VA-15% PZQ-0.1% RF-0.5% IC filaments are lower than those of A-10% PZQ-0.1% RF-0.3% IC cannot be explained by the higher amount of indigo carmine, but suspended particles must have an influence here. HPLC analysis showed that the concentration of IC increases with increasing concentration of praziquantel (Table 5). It was not investigated whether IC was dissolved or suspended in the polymer matrix and the saturation concentration of IC in VA was not determined. But blue particles were visible within the filament indicating suspended IC particles. However, by the addition of the two coloring agents to the formulation, the individual produced batches differ significantly from each other in the L*b* 2D graph (Figure 10).

4. Conclusions

When performing colorimetric measurements with pharmaceutical filaments, this method can be used for distinguishing extruded filament batches with different API concentrations. Using a setup optimized for pharmaceutical filaments, extruded batches could be distinguished despite color differences generated by the amount of API or after using colored additives. The filaments were analyzed by a six-fiber bundle to depict light scattering effects caused by the filament geometry with the consequence that the fibers show high deviations. Despite the high deviations, clusters can be found in 2D graphs of L*a*, L*b*, and/or a*b* values which indicate a significant difference in the individual batches. If the matrix and the desired API concentration does not lead to differences in color changes despite other filaments, adding other excipients is a reasonable approach to achieve clustering of L*a*, L*b*, and/or a*b* values. Ensuring that the filaments were optimally illuminated, the power supply of the LED was regulated so that the a* and b* values of the analyzed filaments were not zero (black or white) because the fibers were either too dark or too bright. To further optimize the setup, measurements should be performed with a standardized light source at the same voltage and darkening needs be realized by additional optical filters. By implementing a filament holder, colorimetric measurements might also be performed during the HME process. Since the HME process is also used to manufacture granules and amorphous solid dispersions, this tool could be adapted to these (intermediate) drug products. The fiber-assisted colorimetric analysis with the small-sized components can be easily installed after a few modifications in the downstream equipment of the HME process.

Author Contributions

Conceptualization, R.C., B.F.; data curation, R.C.; formal analysis, R.C., E.M.; investigation, R.C.; methodology, R.C.; visualization, R.C., B.F.; writing—original draft, R.C.; writing—review and editing, R.C., E.M., B.F. All authors have read and agreed to the published version of the manuscript.

Funding

Eirini Mangiorou’s stay at HHU was financially supported by the ERASMUS program (no. 1179/2020).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Acknowledgments

The authors want to thank BASF for supplying raw material.

Conflicts of Interest

The authors declare no conflict of interest. BASF had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

Abbreviations

3Dthree dimensional
ABSacrylonitrile butadiene styrene
APIactive pharmaceutical ingredient
CIELABcommission internationale de l’éclairage L*a*b*
BZbenserazide hydrochlorid
ECethylcellulose
EVAethylene-vinyl acetate copolymer
FDMfused deposition modeling
HMEhot melt extrusion
HPLChigh-performance liquid chromatography
ICindigo carmine
LDlevodopa
Ppramipexole dihydrochloride monohydrate
PCLpolycaprolactone
PCL-PVAc-PEGpolyvinyl caprolactam-polyvinyl acetate-polyethylene glycol graft copolymer
PLApolylactic acid
PoCpoint of care
PVApolyvinyl alcohol
PZQpraziquantel
QCquality control
RFriboflavin
SMAsubminiature version A
Tgglass transition temperature
TPUthermoplastic polyurethane
VAvinylpyrrolidone-vinyl acetate copolymer

References

  1. Tutton, R. Personalizing medicine: Futures present and past. Soc. Sci. Med. 2012, 75, 1721–1728. [Google Scholar] [CrossRef] [PubMed]
  2. Tappa, K.; Jammalamadaka, U. Novel biomaterials used in medical 3D printing techniques. J. Funct. Biomater. 2018, 9, 17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Tan, D.K.; Maniruzzaman, M.; Nokhodchi, A. Advanced pharmaceutical applications of hot-melt extrusion coupled with fused deposition modelling (FDM) 3D printing for personalised drug delivery. Pharmaceutics 2018, 10, 203. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Melocchi, A.; Uboldi, M.; Cerea, M.; Foppoli, A.; Maroni, A.; Moutaharrik, S.; Palugan, L.; Zema, L.; Gazzaniga, A. A graphical review on the escalation of fused deposition modeling (FDM) 3D printing in the pharmaceutical field. J. Pharm. Sci. 2020, 109, 2943–2957. [Google Scholar] [CrossRef] [PubMed]
  5. Pravin, S.; Sudhir, A. Integration of 3D printing with dosage forms: A new perspective for modern healthcare. Biomed. Pharmacother. 2018, 107, 146–154. [Google Scholar] [CrossRef] [PubMed]
  6. ISO 11664-4: 2008/CIE S 014-4: 2007; Colorimetry—Part 4: CIE 1976 L*a*b* uniform colour space. CIE Draft Standard: Vienna, Austria, 2007.
  7. Lakio, S.; Heinämäki, J.; Yliruusi, J. Colorful Drying. AAPS Pharm. Sci. Tech. 2010, 11, 46–53. [Google Scholar] [CrossRef] [PubMed]
  8. Chen, Q.; Zhang, C.; Zhao, J.; Ouyang, Q. Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety. Trends Anal. Chem. 2013, 52, 261–274. [Google Scholar] [CrossRef]
  9. Siddiqui, A.; Nazzal, S. Measurement of surface color as an expedient QC method for the detection of deviations in tablet hardness. Int. J. Pharm. 2007, 341, 173–180. [Google Scholar] [CrossRef]
  10. Bogdansky, F.M. Measurement of surface color and color difference of tablet colorants by tristimulus colorimetry. J. Pharm. Sci. 1975, 64, 323–328. [Google Scholar] [CrossRef]
  11. Berberich, J.; Dee, K.-H.; Hayauchi, Y.; Pörtner, C. A new method to determine discoloration kinetics of uncoated white tablets occurring during stability testing—An application of instrumental color measurement in the development pharmaceutics. Int. J. Pharm. 2002, 234, 55–66. [Google Scholar] [CrossRef]
  12. Gren, T.; Nyström, C. Characterization of surface coverage of coarse particles coated with stearic acid. Int. J. Pharm. 1991, 74, 49–58. [Google Scholar] [CrossRef]
  13. Barimani, S.; Tomaževič, D.; Meier, R.; Kleinebudde, P. 100% visual inspection of tablets produced with continuous direct compression and coating. Int. J. Pharm. 2022, 121465. [Google Scholar] [CrossRef] [PubMed]
  14. Wickström, H.; Nyman, J.O.; Indola, M.; Kronberg, L.; Preis, M.; Rantanen, J.; Sandler, N. Colorimetry as Quality Control Tool for Individual Inkjet-Printed Pediatric Formulations. AAPS Pharm. Sci. Tech. 2017, 18, 293–302. [Google Scholar] [CrossRef] [PubMed]
  15. Frimpong, G.; Adotey, J.; Ofori-Kwakye, K.; Kipo, S.L.; Dwomo-Fokuo, Y. Potential of aqueous extract of Hibiscus sabdariffa calyces as coloring agent in three pediatric oral pharmaceutical formulations. J. Appl. Pharm. Sci. 2014, 4, 1–7. [Google Scholar] [CrossRef]
  16. Kanekar, H.; Khale, A. Coloring Agents: Current Regulatory Perspective for Coloring Agents Intended for Pharmaceutical & Cosmetic Use. Int. J. Pharm. Phytopharmacol. Res. 2014, 2, 1–20. [Google Scholar]
  17. Deshpande, A.A.; Shah, N.H.; Rhodes, C.T.; Malick, W. Development of a novel controlled-release system for gastric retention. Pharm. Res. 1997, 14, 815–819. [Google Scholar] [CrossRef] [PubMed]
  18. Roggo, Y.; Jent, N.; Edmond, A.; Chalus, P.; Ulmschneider, M. Characterizing process effects on pharmaceutical solid forms using near-infrared spectroscopy and infrared imaging. Eur. J. Pharm. Biopharm. 2005, 61, 100–110. [Google Scholar] [CrossRef]
  19. Quodbach, J.; Bogdahn, M.; Breitkreutz, J.; Chamberlain, R.; Eggenreich, K.; Elia, A.G.; Gottschalk, N.; Gunkel-Grabole, G.; Hoffmann, L.; Kapote, D.; et al. Quality of FDM 3D Printed Medicines for Pediatrics: Considerations for Formulation Development, Filament Extrusion, Printing Process and Printer Design. Ther. Innov. Regul. Sci. 2021. [Google Scholar] [CrossRef]
  20. Chamberlain, R.; Windolf, H.; Geissler, S.; Quodbach, J.; Breitkreutz, J. Precise Dosing of Pramipexole for Low-Dosed Filament Production by Hot Melt Extrusion Applying Various Feeding Methods. Pharmaceutics 2022, 14, 216. [Google Scholar] [CrossRef]
  21. Schneider, C.; Langer, R.; Loveday, D.; Hair, D. Applications of ethylene vinyl acetate copolymers (EVA) in drug delivery systems. J. Control Release 2017, 262, 284–295. [Google Scholar] [CrossRef]
  22. Basf. Kollidon VA 64, Technical Information. 2019. Available online: https://pharma.basf.com/technicalinformation/30499398/kollidon-va-64 (accessed on 10 April 2022).
  23. Chamberlain, R.; Windolf, H.; Burckhardt, B.B.; Breitkreutz, J.; Fischer, B. Embedding a Sensitive Liquid-Core Waveguide UV Detector into an HPLC-UV System for Simultaneous Quantification of Differently Dosed Active Ingredients during Drug Release. Pharmaceutics 2022, 14, 639. [Google Scholar] [CrossRef] [PubMed]
  24. European Pharmacopoeia Commission. 10.0/0292 Riboflavinum. In European Pharmacopoeia; European Pharmacopoeia Commission: Strasbourg, France, 2020; p. 5529. [Google Scholar]
  25. Del Mar Pérez, M.; Ghinea, R.; Rivas, M.J.; Yebra, A.; Ionescu, A.M.; Paravina, R.D.; Herrera, L.J. Development of a customized whiteness index for dentistry based on CIELAB color space. Dent. Mater. 2016, 32, 461–467. [Google Scholar] [CrossRef] [PubMed]
  26. Gill, H.S.; Prausnitz, M.R. Coating formulations for microneedles. Pharm. Res. 2007, 24, 1369–1380. [Google Scholar] [CrossRef] [PubMed]
  27. Vidal, D.T.R.; Augelli, M.A.; Do Lago, C.L. Determination of sildenafil and vardenafil by capillary zone electrophoresis using capacitively coupled contactless conductivity detection. Anal. Methods 2013, 5, 2041–2045. [Google Scholar] [CrossRef]
Figure 1. L*a*b* three-dimensional color space.
Figure 1. L*a*b* three-dimensional color space.
Pharmaceutics 14 01055 g001
Figure 2. Assembly of the components for reflection and transmission measurements for Setup 1 and 2: light is applied from LED 1 and enters and exits at the same fiber bundle or light from LED 2 passes through the filament and transmitted light is collected into the fiber bundles. A picture of the fiber leg (single- or six-fiber leg) was taken by a camera.
Figure 2. Assembly of the components for reflection and transmission measurements for Setup 1 and 2: light is applied from LED 1 and enters and exits at the same fiber bundle or light from LED 2 passes through the filament and transmitted light is collected into the fiber bundles. A picture of the fiber leg (single- or six-fiber leg) was taken by a camera.
Pharmaceutics 14 01055 g002
Figure 3. Schematic visualization of the pictured fiber leg for Setup 1 and 2 with the selected area to be analyzed (for Setup 1: 71444 Pixel; and for Setup 2: six fiber legs with each 8088 Pixel) for one filament in Corel PHOTO-PAINT.
Figure 3. Schematic visualization of the pictured fiber leg for Setup 1 and 2 with the selected area to be analyzed (for Setup 1: 71444 Pixel; and for Setup 2: six fiber legs with each 8088 Pixel) for one filament in Corel PHOTO-PAINT.
Pharmaceutics 14 01055 g003
Figure 4. Box-whisker plots of L*a*b* values of transmission (white) and reflection (grey) measurement of VA-1,5,10% P and VA-5,10,15% PZQ filaments obtained with Setup 1 (n = 10, Q1/Q3 ± 1.5 IQR, outliers).
Figure 4. Box-whisker plots of L*a*b* values of transmission (white) and reflection (grey) measurement of VA-1,5,10% P and VA-5,10,15% PZQ filaments obtained with Setup 1 (n = 10, Q1/Q3 ± 1.5 IQR, outliers).
Pharmaceutics 14 01055 g004
Figure 5. L*a*b* values depending on LED voltage for EC- 20% LD/ 5% BZ filaments (mean ± SD, three filaments, n = 6).
Figure 5. L*a*b* values depending on LED voltage for EC- 20% LD/ 5% BZ filaments (mean ± SD, three filaments, n = 6).
Pharmaceutics 14 01055 g005
Figure 6. L*a*b* values depending on LED voltage for VA-1% P, VA-5% P, and VA-10% P filaments (mean ± SD, each of the three filaments, n = 6).
Figure 6. L*a*b* values depending on LED voltage for VA-1% P, VA-5% P, and VA-10% P filaments (mean ± SD, each of the three filaments, n = 6).
Pharmaceutics 14 01055 g006
Figure 7. L*a*b* values depending on LED voltage for VA-5% PZQ, VA-10% PZQ, and VA-15% PZQ filaments (mean ± SD, each of the three filaments, n = 6).
Figure 7. L*a*b* values depending on LED voltage for VA-5% PZQ, VA-10% PZQ, and VA-15% PZQ filaments (mean ± SD, each of the three filaments, n = 6).
Pharmaceutics 14 01055 g007
Figure 8. The 2D graphs of L*a*, L*b*, and a*b* values at 2.50 V for (A) pramipexole filaments (1, 5, 10% (w/w)) and (B) praziquantel filaments (5, 10, 15% (w/w)).
Figure 8. The 2D graphs of L*a*, L*b*, and a*b* values at 2.50 V for (A) pramipexole filaments (1, 5, 10% (w/w)) and (B) praziquantel filaments (5, 10, 15% (w/w)).
Pharmaceutics 14 01055 g008
Figure 9. a* and b* values depending on LED voltage for the filaments of PZQ with different concentrations of RF and IC (VA-5% PZQ-0.1% RF-0.1% IC, VA-10% PZQ-0.1% RF-0.3% IC and VA-15% PZQ-0.1% RF-0.5% IC).
Figure 9. a* and b* values depending on LED voltage for the filaments of PZQ with different concentrations of RF and IC (VA-5% PZQ-0.1% RF-0.1% IC, VA-10% PZQ-0.1% RF-0.3% IC and VA-15% PZQ-0.1% RF-0.5% IC).
Pharmaceutics 14 01055 g009
Figure 10. The 2D graphs of L*a*, L*b*, and a*b* values at 2.50 V for color-coded praziquantel filaments (VA-5% PZQ-0.1% RF-0.1% IC, VA-10% PZQ-0.1% RF-0.3% IC and VA-15% PZQ-0.1% RF-0.5% IC).
Figure 10. The 2D graphs of L*a*, L*b*, and a*b* values at 2.50 V for color-coded praziquantel filaments (VA-5% PZQ-0.1% RF-0.1% IC, VA-10% PZQ-0.1% RF-0.3% IC and VA-15% PZQ-0.1% RF-0.5% IC).
Pharmaceutics 14 01055 g010
Table 1. Temperature profile of zones 2–10 for extrusion runs with selected polymers.
Table 1. Temperature profile of zones 2–10 for extrusion runs with selected polymers.
PolymerTemperature Profile in Zone 2–10/°C
2345678910
EVA202050858585858585
VA203075165180180180180180
Table 2. L*a*b* values of transmission and reflection measurement of the filaments obtained with Setup 1 (n = 10; mean, Q1-Q3) despite the analyzed content uniformity determined by HPLC analysis (n = 10; mean, SD).
Table 2. L*a*b* values of transmission and reflection measurement of the filaments obtained with Setup 1 (n = 10; mean, Q1-Q3) despite the analyzed content uniformity determined by HPLC analysis (n = 10; mean, SD).
TransmissionReflectionDrug Content/%
L* Valuea* Valueb* ValueL* Valuea* Valueb* Value
Batch VA- x ¯ Q1–Q3 x ¯ Q1–Q3 x ¯ Q1–Q3 x ¯ Q1–Q3 x ¯ Q1–Q3 x ¯ Q1–Q3 x ¯ SD
1% P60.34.5−7.91.97.40.666.719.9−8.31.5−0.52.30.980.15
5% P18.41.3−5.90.18.50.882.611.4−9.00.50.10.35.010.13
10% P13.41.2−5.60.39.10.388.37.5−10.61.00.10.210.020.09
5% PZQ32.76.6−4.00.4−3.00.760.117.3−9.61.517.06.34.980.11
10% PZQ33.88.0−4.10.3−2.70.757.020.5−10.52.317.83.510.000.12
15% PZQ39.13.1−4.50.7−3.20.776.68.5−11.10.915.64.315.010.09
Table 3. L*a*b* values determined for fibers 1–6 using Setup 2 of VA-1% P, VA-5% P, and VA-10% P filaments at 2.50 V.
Table 3. L*a*b* values determined for fibers 1–6 using Setup 2 of VA-1% P, VA-5% P, and VA-10% P filaments at 2.50 V.
Setup 2FilamentFibers L*, a*, b* Values of Fibers 1–6
123456
Pharmaceutics 14 01055 i022VA-1% P Pharmaceutics 14 01055 i001L*58.957.653.656.655.149.8
a*−8.6−8.7−9.0−9.1−10.2−8.1
b*9.08.66.18.37.44.0
VA-5% P Pharmaceutics 14 01055 i002L*19.719.320.619.420.421.3
a*−7.0−6.8−6.7−6.9−6.8−5.9
b*3.74.24.24.14.23.9
VA-10% P Pharmaceutics 14 01055 i003L*13.313.216.013.215.016.9
a*−6.0−5.7−7.0−7.7−7.1−7.0
b*3.74.24.24.24.23.9
Table 4. Color observation of transmitted light on selected drug loaded filaments.
Table 4. Color observation of transmitted light on selected drug loaded filaments.
BatchPictures of FilamentsVoltage of LED with Corresponding Image of the 6-Fiber Leg
EC-
20% LD/
5% BZ
Pharmaceutics 14 01055 i0042.30
Pharmaceutics 14 01055 i005
2.40
Pharmaceutics 14 01055 i006
2.50
Pharmaceutics 14 01055 i007
2.80
Pharmaceutics 14 01055 i008
3.20
Pharmaceutics 14 01055 i009
VA-
5% P
Pharmaceutics 14 01055 i0102.30
Pharmaceutics 14 01055 i011
2.40
Pharmaceutics 14 01055 i012
2.50
Pharmaceutics 14 01055 i013
2.80
Pharmaceutics 14 01055 i014
3.20
Pharmaceutics 14 01055 i015
VA-
10% PZQ
Pharmaceutics 14 01055 i0162.30
Pharmaceutics 14 01055 i017
2.40
Pharmaceutics 14 01055 i018
2.50
Pharmaceutics 14 01055 i019
2.80
Pharmaceutics 14 01055 i020
3.20
Pharmaceutics 14 01055 i021
Table 5. Content of coloring agents determined by HPLC analysis.
Table 5. Content of coloring agents determined by HPLC analysis.
Batch VA-PZQ Content/%RF Content/%IC Content/%
x ¯ SD x ¯ SD x ¯ SD
5% PZQ-0.1% RF-0.1% IC4.990.100.0990.0120.1020.012
10% PZQ-0.1% RF-0.3% IC10.020.090.0980.0110.2990.009
15% PZQ-0.1% RF-0.5% IC15.020.120.0990.0110.5000.009
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chamberlain, R.; Mangiorou, E.; Fischer, B. Introducing Fiber-Assisted Colorimetric Measurements as a Quality Control Tool of Hot Melt Extruded Filaments. Pharmaceutics 2022, 14, 1055. https://doi.org/10.3390/pharmaceutics14051055

AMA Style

Chamberlain R, Mangiorou E, Fischer B. Introducing Fiber-Assisted Colorimetric Measurements as a Quality Control Tool of Hot Melt Extruded Filaments. Pharmaceutics. 2022; 14(5):1055. https://doi.org/10.3390/pharmaceutics14051055

Chicago/Turabian Style

Chamberlain, Rebecca, Eirini Mangiorou, and Björn Fischer. 2022. "Introducing Fiber-Assisted Colorimetric Measurements as a Quality Control Tool of Hot Melt Extruded Filaments" Pharmaceutics 14, no. 5: 1055. https://doi.org/10.3390/pharmaceutics14051055

APA Style

Chamberlain, R., Mangiorou, E., & Fischer, B. (2022). Introducing Fiber-Assisted Colorimetric Measurements as a Quality Control Tool of Hot Melt Extruded Filaments. Pharmaceutics, 14(5), 1055. https://doi.org/10.3390/pharmaceutics14051055

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop