| Literature DB >> 35456566 |
Neel Desai1, Marc Masen2, Philippa Cann2, Ben Hanson3, Catherine Tuleu1, Mine Orlu1.
Abstract
Orodispersible films (ODFs) have been widely used in paediatric, geriatric and dysphagic patients due to ease of administration and precise and flexible dose adjustments. ODF fabrication has seen significant advancements with the move towards more technologically advanced production methods. The acceptability of ODFs is dependent upon film composition and process of formation, which affects disintegration, taste, texture and mouthfeel. There is currently a lack of testing to accurately assess ODFs for these important acceptability sensory perceptions. This study produced four ODFs formed of polyvinyl alcohol and sodium carboxymethylcellulose using 3D printing. These were assessed using three in vitro methods: Petri dish and oral cavity model (OCM) methods for disintegration and bio-tribology for disintegration and oral perception. Increasing polymer molecular weight (MW) exponentially increased disintegration time in the Petri dish and OCM methods. Higher MW films adhered to the OCM upper palate. Bio-tribology analysis showed that films of higher MW disintegrated quickest and had lower coefficient of friction, perhaps demonstrating good oral perception but also stickiness, with higher viscosity. These techniques, part of a toolbox, may enable formulators to design, test and reformulate ODFs that both disintegrate rapidly and may be better perceived when consumed, improving overall treatment acceptability.Entities:
Keywords: 3D printing; acceptability; bio-tribology; disintegration testing; mouthfeel; orodispersible films
Year: 2022 PMID: 35456566 PMCID: PMC9029462 DOI: 10.3390/pharmaceutics14040732
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.525
ODF polymer formulation solution composition and optimised 3D printing parameters.
| ODF ID | ODF Polymer Stock | 3D Printing Parameters | |||||
|---|---|---|---|---|---|---|---|
| Needle Gauge (Diameter) | Compressed Air Pressure (kPa) | Printing Speed (mm/s) | Infill Pattern | Infill | Print Cycle | ||
| C1 | 1% | 22 G | 50 | 20 | Grid infill | 12% | 30% |
| C2 | 1% | ||||||
| P1 | 5% Emprove® 4–88, 0.1% | 15 | 25% | 20% | |||
| P2 | 5% Emprove® 40–88, 0.1% | 70 | 40% | ||||
Figure 1Diagrammatic representation detailing the key components of the BioTribometer setup.
Test parameters used for the BTM to mimic physiological oral cavity conditions [29,34].
| Parameter | BTM Test Setting |
|---|---|
| Reciprocating frequency | 1 Hz |
| Applied load | 1 N |
| Approximate contact pressure | ≈30 kPa |
| Sliding velocity | 30 mm/s |
| Stroke length | 7.5 mm |
Figure 2Rheological profiles of the four ODF polymer solutions used for 3D printing the films (n = 3).
Thickness of ODFs produced by 3D printing and solvent casting methodologies with standard deviations (n = 3).
| ODF ID | 3D Printed Thickness (μm) | Solvent Casting Thickness (μm) † |
|---|---|---|
| C1 | 73.63 ± 2.12 | 68.33 ± 2.11 |
| C2 | 79.54 ± 1.96 | 62.67 ± 2.84 |
| P1 | 35.25 ± 1.39 | 24.00 ± 1.31 |
| P2 | 38.78 ± 1.25 | 22.00 ± 1.36 |
† Thickness values derived from previous work by Scarpa et al. 2018 [15].
ODF mean disintegration times using the modified Petri dish, OCM and BTM methodologies, with standard deviations (n = 3).
| ODF ID | Petri Dish Disintegration (s) | OCM Disintegration (s) * | BTM Disintegration (s) † |
|---|---|---|---|
| C1 | 25.3 ± 0.7 | >180.0 | 11.0 ± 2.0 |
| C2 | >180.0 | >180.0 | 8.0 ± 2.0 |
| P1 | 7.4 ± 0.6 | 24.0 ± 2.0 | 31.0 ± 3.0 |
| P2 | 22.2 ± 0.9 | >180.0 | 21.0 ± 2.0 |
* Observed ODF disintegration by OCM operator, based on the number of compression sequences completed, where one compression cycle corresponds to two seconds. † Observed ODF disintegration by BTM operator, based on the number of rubbing/shearing cycles completed, where one cycle corresponds to one second.
Figure 3Mean top-down area-time and perimeter–time profiles for C1 (top left), C2 (top right), P1 (bottom left) and P2 (top right) ODFs assessed in the OCM with standard deviations (n = 3).
Figure 4Coefficient of friction–time plot of ODF samples positioned between the upper acrylic palate and silicone tongue during BTM tribological testing (n = 3).
Figure 5Mean coefficient of friction calculated for ODF samples for BTM tribological testing (n = 3), with one-way ANOVA statistical significance data displayed—**** (p < 0.0001) and ns (not significant).