Mechanistic modeling of semicontinuous fluidized bed drying of pharmaceutical granules by incorporating single particle and bulk drying kinetics

Vandeputte, Tuur; Ghijs, Michael; Van Hauwermeiren, Daan; Dos Santos Schultz, Eduardo; Schäfer, Elisabeth; Stauffer, Fanny; De Beer, Thomas; Nopens, Ingmar

doi:10.1016/j.ijpharm.2023.123447

Cited by 8 publications

(1 citation statement)

References 28 publications

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“…During our scientific literature review, we came across various drying scenarios in which Python programming was used. These included the drying of organically grown apples [12], the process of drying yellow passion fruit seeds [13], pharmaceutical granule drying with a focus on kinetics [14], and predicting coal moisture content during convective drying [15]. However, no previous research has connected Python to the specific field of MSS drying, emphasizing the original and multidisciplinary nature of our study, which combines programming with the chemical-technological complexities of sludge drying.…”

Section: Introductionmentioning

confidence: 99%

Analyzing and Modeling the Municipal Sewage Sludge Drying Process Using Python

Mihelič,

Klinar,

Rižnar

et al. 2023

Processes

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The programming language Python offers the opportunity to analyze and model the municipal sewage sludge (MSS) drying process in an illustrative chemical engineering practice. The drying process is performed on a flat plate while maintaining a uniform, parallel drying air speed. The Python program helps to analyze the digitalized weight measurements from each sample. The program enables the sorting of input data, determination of the drying critical point, and evaluation of the first and second drying periods. Moreover, the model calculates the fundamental drying parameter and forms a drying master curve to support the transfer to different drying conditions. The basic parameters calculated are mass transfer coefficient, heat transfer coefficient, and diffusion coefficient. The results are consistent with published data for those coefficients over the drying temperature range of 19.4–52.4 °C and relative humidity range of 8.2–33.6%. The findings of this study demonstrate the potential of Python as a powerful tool for analyzing experimental data and modeling chemical processes, which can lead to improved process design, optimization, and control.

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Section: Introductionmentioning

confidence: 99%

Analyzing and Modeling the Municipal Sewage Sludge Drying Process Using Python

Mihelič,

Klinar,

Rižnar

et al. 2023

Processes

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Beer wheat residue as a probiotic carrier: physicochemical properties via fluid bed granulation (Beer wheat residue for lactic acid bacteria encapsulation)

Guo,

Dong,

Patel

et al. 2024

J Sci Food Agric

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BACKGROUNDIn recent years, consumer preference for symbiotics containing live bacteria has surged, driven by the acknowledged health benefits. Wheat residue from beer brewing, rich in dietary fiber, remains an unexplored prebiotic raw material for developing vegan probiotic powdered products. Concerns about ambient conditions, dehydration and drying affecting bacterial cell viability prompt the investigation of protective agents (maltodextrin, l‐arabinose, casein, whey protein, skimmed milk) and fluidized bed granulation microencapsulation for enhancing the survival rate of Lactiplantibacillus plantarum NKUST 817.RESULTSThe results of the study show that wheat residue, when utilized as the carrier with 10% indigestible dextrin FB06, served as the optimal protective agent. Optimal air inlet temperature (45, 55 and 65 °C) for fluidized bed granulation was investigated along with cell survival rate and probiotic powder characteristics such as moisture, water activity, hygroscopicity, solubility, bulk density and flowability. Bacteria without protective agents showed a survival rate of only 82.63–86.96%. However, the addition of 10% indigestible dextrin FB06 significantly increased in the survival rate of bacteria (granulated at 45–65 °C) to 93.52–95.18%. The microencapsulated bacteria powder exhibited low moisture (2.38–4.36%) and water activity (0.06–0.22). Powder fluidity, indicated by Carr's index (10.87–13.62) and the Hausner ratio (1.13–1.16%), demonstrated good flowability. Furthermore, the powder remained stable for 45 days, with a viable bacteria count of 7.29 log colony‐forming units g−1 and a survival rate of 88.69%.CONCLUSIONThis study pioneers vegan probiotic product development at the same time as addressing processing challenges to optimize strain resilience. This research stablishes wheat residue as a suitable candidate for a probiotics carrier. © 2024 Society of Chemical Industry.

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