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Record W7034079947

In-situ Study of Single Pharmaceutical Granule Drying using Synchrotron X-ray Imaging

2024· dissertation· en· W7034079947 on OpenAlexfundno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2024
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchImperial College LondonCanadian Light Source
KeywordsTabletingGranule (geology)Microcrystalline celluloseActive ingredientExcipientDosage formSynchrotronGranulationFreeze-drying
DOInot available

Abstract

fetched live from OpenAlex

The drying process of wetted granules using common methods such as fluidized bed drying is a key unit operation in the pharmaceutical tableting industry. To ensure homogeneity and product quality for a wide range of formulations in the final tableted product, the monitoring of changes to an individual granules structure, and therein its composition and the associated properties, is essential. Granule drying can occur very rapidly, and many pharmaceutical powders are opaque in nature. Lab-based methods are therefore unable to capture the drying process occurring internally within the individual granules. Comparatively, the use of in-situ synchrotron X-ray imaging techniques allows for fast processes such as single pharmaceutical granule drying to be visualized due to the higher photon flux, good stability, and higher spatial and temporal resolutions that lead to a much faster method than conventional lab-based X-ray imaging. \n This study employs the use of synchrotron X-ray imaging techniques to investigate the internal changes of single pharmaceutical granules and how the removal of moisture influences the thermal properties of the individual granules to better predict the drying process. A single granule drying method was implemented to obtain quantitative information of the granule drying process. The liquid binder of water was used with pure components and binary mixtures composed of one active pharmaceutical ingredient and one excipient to produce individual wetted granules for drying. The pharmaceutical powders include the active ingredients acetaminophen and carbamazepine, in addition to common excipients such as microcrystalline cellulose and lactose monohydrate. \n A lab-based analysis investigated the effects of moisture content and porosity on the thermal conductivity and specific heat capacity of the pharmaceutical materials. A transient line heat source method was used, with relationships established between thermal conductivity and the volumetric specific heat capacity with porosity and moisture content for the pharmaceutical ingredients. In general, all compositions were observed to have a decrease in porosity with an increase in moisture content, with the thermal properties increasing with an increase in moisture content that followed a three-parameter predictive model for both the thermal conductivity and volumetric specific heat capacity. For APAP, the thermal conductivity increased from 0.171 W/(m k) to 0.402 W/(m k) and the volumetric specific heat capacity increased from 1.300 MJ/(m3 K) to 2.265 MJ/(m3 K) with a change in moisture content from 4.98 % to 14.91 %; the thermal conductivity of MCC increased from 0.127 W/(m k) to 0.360 W/(m k) and the volumetric specific heat capacity increased from 0.701 MJ/(m3 k) to 1.739 MJ/(m3 K) with a moisture change from 4.55 % to 30.07 %; thermal conductivity of LMH increased from 0.181 W/(m k) to 0.692 W/(m k) and the volumetric specific heat capacity increased from 1.145 MJ/(m3 K) to 2.716 MJ/(m3 K) with a change in moisture content from 1.19 % to 22.75 %.\n In-situ synchrotron-based X-ray techniques were used to investigate the dynamic drying of single pharmaceutical granules, quantifying internal changes occurring over the drying time. For most samples, the drying time and granule composition were determined to significantly influence the evolution of the pore volume and the moisture content, with the initial air volume fraction being as low as 0.02 and increasing to as much as 0.38 with the moisture ratio decreasing from 1.00 to as low as 0.00 throughout the drying process. Granules containing MCC were observed to shrink during the drying process, decreasing by up to 25.2 % in volume, with all other materials not observing shrinkage effects. Drying gas velocity and temperature were found to have mixed significance on the rate of increasing pore connectivity and the removal of moisture, with sample composition influencing these changes. This is easily seen in examples such as 80LMH20APAP, where the increase in velocity from 0.02 m/s to 0.10 m/s allows for a larger decrease in the moisture ratio, with increasing temperature from 25 °C to 40 °C observed to further decrease the moisture ratio over the same drying time. The effects of hydrophobicity and hydrophilicity were also observed using carbamazepine and acetaminophen respectively, with the influences of carbamazepine’s material properties being minimal in both pure and binary mixtures, whereas acetaminophens hydrophilic nature was dominant in all granules that it is present, with acetaminophen loadings of 20 % to 50 % influencing the drying behaviour for both lactose monohydrate and microcrystalline cellulose. The changes in the moisture content were further analyzed for all materials and fit to nine thin-layer drying models, with the Henderson and Pabis model producing the best predictions for the single pharmaceutical granules used in this work, with R2 values ranging between 0.635 and 0.998, with 83.3% of the drying models possessing an R2 greater than 0.90. \nThe monitoring of the single pharmaceutical drying process using in-situ synchrotron X-ray imaging techniques was, for the first time, demonstrated with data collected on the pore volume evolution and changes to the moisture content obtained. This study revealed how individual pharmaceutical granules were affected by both the velocity and temperature of the drying gas. The information gained from this research includes a three-parameter model to predict the thermal properties of the pharmaceutical granules that can be used in conjunction with the thin-layer modelling of the drying process of the single pharmaceutical granules, that will benefit the selection of materials and process conditions for drying processes in the pharmaceutical industry.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.200
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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