Author(s): Keerthana Bhandarkar, Vamshi Krishna Tippavajhala

Email(s): vamshi.krishna@manipal.edu , krissrcm@gmail.com

DOI: 10.52711/0974-360X.2023.00963   

Address: Keerthana Bhandarkar, Vamshi Krishna Tippavajhala*
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
*Corresponding Author

Published In:   Volume - 16,      Issue - 12,     Year - 2023


ABSTRACT:
Objectives: Parenteral preparations and biphasic liquid dosage forms are commonly available in the market to treat several disease conditions. Formulation and evaluation of these products include critical steps likemixing, filtration, filling, freeze drying and dissolution which areimportantto assure quality of the product. To understand these critical processes, computational fluid dynamics (CFD) can be applied as a simulation tool. Methods: The use of CFD in the formulation of parenteral formulations and biphasic liquids is described in this review. Discrete examples of how CFD is used in the formulation and evaluation of parenteral preparations and biphasic liquid dosage forms with an overview of different research works done in every unit operation using CFD will be discussed in this review. Conclusion: This review clearly explained the uses and application of CFD as a significant simulation tool in the formulation development of parenteral and biphasic liquid dosage forms.


Cite this article:
Keerthana Bhandarkar, Vamshi Krishna Tippavajhala. Computational Fluid Dynamics as a Simulation tool in the Formulation development of Parenteral and Biphasic Liquid Dosage Forms. Research Journal of Pharmacy and Technology.2023; 16(12):5935-3. doi: 10.52711/0974-360X.2023.00963

Cite(Electronic):
Keerthana Bhandarkar, Vamshi Krishna Tippavajhala. Computational Fluid Dynamics as a Simulation tool in the Formulation development of Parenteral and Biphasic Liquid Dosage Forms. Research Journal of Pharmacy and Technology.2023; 16(12):5935-3. doi: 10.52711/0974-360X.2023.00963   Available on: https://rjptonline.org/AbstractView.aspx?PID=2023-16-12-64


REFERENCES:
1.    Akers MJ. Sterile Drug Products. Sterile Drug Products. 2016.
2.    Wassgren C, Curtis JS. The application of computational modeling to pharmaceutical materials science. MRS Bull. 2006;31(11):900–4.
3.    Hemamanjushree S, Tippavajhala VK. Simulation of Unit Operations in Formulation Development of Tablets Using Computational Fluid Dynamics. AAPS Pharm Sci Tech. 2020;21(3):1–13.
4.    Mehta CH, Narayan R, Nayak UY. Computational modeling for formulation design. Drug Discov Today [Internet]. 2019;24(3):781–8. Available from: https://doi.org/10.1016/j.drudis.2018.11.018
5.    Gulati N, Gupta H. Parenteral Drug Delivery: A Review. Recent Pat Drug Deliv Formul. 2011;5(2):133–45.
6.    Riley BS, Li X. Quality by design and process analytical technology for sterile products - Where are we now? AAPS PharmSciTech. 2011;12(1):114–8.
7.    Yogita P, Vishal Gupta N, Natasha NS, Ashwini Nageen L, Sudeendra Bhat R. Comparison of quality requirements for sterile product manufacture as per Indian GMP and USFDA. Res J Pharm Biol Chem Sci. 2012;3(1):225–43.
8.    Zubov A, Wilson JF, Kroupa M, Šoóš M, Kosek J. Numerical Modeling of Viscoelasticity in Particle Suspensions Using the Discrete Element Method. Langmuir. 2019;35(39):12754–64.
9.    Todaro V, Persoons T, Grove G, Healy AM, D’Arcy DM. Characterization and simulation of hydrodynamics in the paddle, basket and flow-through dissolution testing apparatuses-A review. Dissolution Technol. 2017;24(3):24–36.
10.    Pires JCM, Alvim-Ferraz MCM, Martins FG. Photobioreactor design for microalgae production through computational fluid dynamics: A review. Renew Sustain Energy Rev [Internet]. 2017;79(November 2016): 248–54. Available from: http://dx.doi.org/10.1016/j.rser.2017.05.064
11.    Spalart PR, Venkatakrishnan V, Les W. On the role and challenges of CFD in the aerospace industry. 2016;(January 1866):209–32.
12.    Basri EI, Basri AA, Riazuddin VN, Farhana S, Zuber M, Ahmad KA. Computational Fluid Dynamics Study in Biomedical Applications : A Review. Int J Fluid Heat Transf. 2016;1(2):2–14.
13.    Koh P, Schwarz M, Zhu Y, Bourke P, Peaker R, Franzidis J. Development of CFD Models of Mineral Flotation Cells. 3rd Int Conf CFD Miner Process Ind. 2003;(December):171–6.
14.    Janßen CF, Mierke D, überrück M, Gralher S, Rung T. Validation of the GPU-accelerated CFD solver ELBE for free surface flow problems in civil and environmental engineering. Computation. 2015;3(3):354–85.
15.    Meroney RN. CFD Prediction of Airflow in Buildings for Natural Ventilation Prepared for 11 th Americas Conference on Wind Engineering San Juan , Puerto Rico CFD Prediction of Airflow in Buildings for Natural Ventilation. Wind Eng. 2009;1–11.
16.    Wei Y. The development and application of CFD technology in mechanical engineering. IOP Conf Ser Mater Sci Eng. 2017;274(1).
17.    Zhong W, Yu A, Zhou G, Xie J, Zhang H. CFD simulation of dense particulate reaction system: Approaches, recent advances and applications. Chem Eng Sci [Internet]. 2016;140:16–43. Available from: http://dx.doi.org/10.1016/j.ces.2015.09.035
18.    Sadrizadeh S, Tammelin A, Nielsen P V., Holmberg S. Does a mobile laminar airflow screen reduce bacterial contamination in the operating room? A numerical study using computational fluid dynamics technique. Patient Saf Surg. 2014;8(1):4–9.
19.    Dehbi A. Tracking aerosols in large volumes with the help of CFD. Proc Int Conf Nucl Eng. 2004;2:853–60.
20.    Augusto LLX, Lopes GC, Gonçalves JAS. A cfd study of deposition of pharmaceutical aerosols under different respiratory conditions. Brazilian J Chem Eng. 2016;33(3):549–58.
21.    Sundström S, Ljungqvist B, Reinmüller B, Gardner N, Fairchild S, Sundström S, et al. glove legislation Regulatory review Content and Abstracts The use of computational fluid dynamics for the study of particle dispersion routes in the filling area of a blow-fill-seal process Reading the runes : demystification of disposable glove legislati. 2010;15(1).
22.    Zeberli A, Casola G, Badr S, Siegmund C, Mattern M, Sugiyama H. Approach for Multicriteria Equipment Redesign in Sterile Manufacturing of Biopharmaceuticals. J Pharm Innov. 2020;15(1):15–25.
23.    Blanchard J. Sterile Dosage Forms: Their Preparation and Clinical Application. 2nd ed. By S. TURCO and R. E. KING. Lea and Febiger, Philadelphia, PA 19106. 1979. 456pp. 15×24cm. Price $18.50. J Pharm Sci. 1980;69(2).
24.    Ogawa M. Contamination control in HVAC systems for aseptic processing area, Part I: Case study of the airflow velocity in a unidirectional airflow workstation with computational fluid dynamics. PDA J Pharm Sci Technol. 2000;54(1).
25.    Hathway EA, Noakes CJ, Sleigh PA, Fletcher LA. CFD simulation of airborne pathogen transport due to human activities. Build Environ [Internet]. 2011;46(12):2500–11. Available from: http://dx.doi.org/10.1016/j.buildenv.2011.06.001
26.    Huzayyin O, Khalil EE. Applications of computational techniques to assess energy efficiency, air quality and comfort in air-conditioned spaces. Collect Tech Pap - 44th AIAA Aerosp Sci Meet. 2006;23(January):17916–25.
27.    Gilkeson CA, Noakes CJ. Application of CFD Simulation to Predicting Upper-Room UVGI. 2013;799–810.
28.    Mishra P, Ein-Mozaffari F. Critical review of different aspects of liquid-solid mixing operations. Rev Chem Eng. 2020;36(5):555–92.
29.    Kazemzadeh A, Ein-mozaffari F, Lohi A. large particles. Particuology [Internet]. 2019; Available from: https://doi.org/10.1016/j.partic.2019.07.004
30.    Kukura J, Arratia PC, Szalai ES, Bittorf KJ, Muzzio FJ. Understanding pharmaceutical flows. Pharm Technol North Am. 2002;26(10):48–72.
31.    Wibisono Y, Migunani Y, Darmanto, Choiron MA. Computational fluid dynamics analysis of mini membrane module flow behavior. IOP Conf Ser Earth Environ Sci. 2020;475(1).
32.    Keir G, Jegatheesan V. A review of computational fluid dynamics applications in pressure-driven membrane filtration. Rev Environ Sci Biotechnol. 2014;13(2):183–201.
33.    Salama A, Zoubeik M, Henni A, Ng KTW, Ibrahim H. On the design of sustainable antifouling system for the crossflow filtration of oily water systems: A multicontinuum and CFD investigation of the periodic feed pressure technique. Sci Total Environ [Internet]. 2020;698:134288. Available from: https://doi.org/10.1016/j.scitotenv.2019.134288
34.    Jørgensen MK, Eriksen KB, Christensen ML. Particle track and trace during membrane filtration by direct observation with a high speed camera. Membranes (Basel). 2020;10(4).
35.    Dreckmann T, Boeuf J, Ludwig IS, Lümkemann J, Huwyler J. Low volume aseptic filling: Impact of pump systems on shear stress. Eur J Pharm Biopharm [Internet]. 2020;147(August 2019):10–8. Available from: https://doi.org/10.1016/j.ejpb.2019.12.006
36.    Sheena U, Parthiban K, Selvakumar R. Lyophilized Injection: a Modern Approach of Injectable Dosage Form. J Drug Deliv Ther. 2018;8(5):10–8.
37.    Petitti M, Barresi AA, Marchisio DL. CFD modelling of condensers for freeze-drying processes. Sadhana - Acad Proc Eng Sci. 2013;38(6):1219–39.
38.    Psimadas D, Georgoulias P, Valotassiou V, Loudos G. Molecular Nanomedicine Towards Cancer : J Pharm Sci. 2012;101(7):2271–80.
39.    Barresi AA, Rasetto V, Marchisio DL. Use of computational fluid dynamics for improving freeze-dryers design and process understanding. Part 1: Modelling the lyophilisation chamber. Eur J Pharm Biopharm [Internet]. 2018;129(April):30–44. Available from: https://doi.org/10.1016/j.ejpb.2018.05.008
40.    Zhu T, Moussa EM, Witting M, Zhou D, Sinha K, Hirth M, et al. Predictive models of lyophilization process for development, scale-up/tech transfer and manufacturing. Eur J Pharm Biopharm [Internet]. 2018;128(April):363–78. Available from: https://doi.org/10.1016/j.ejpb.2018.05.005
41.    Shen J, Burgess DJ. Accelerated in-vitro release testing methods for extended-release parenteral dosage forms. J Pharm Pharmacol. 2012;64(7):986–96.
42.    Frenning G, Ahnfelt E, Sjögren E, Lennernäs H. Computational fluid dynamics (CFD) studies of a miniaturized dissolution system. Int J Pharm [Internet]. 2017;521(1–2):274–81. Available from: http://dx.doi.org/10.1016/j.ijpharm.2017.01.072
43.    Chen Y, Wu L, Zhang C. Emulsion droplet formation in coflowing liquid streams. 2013;013002:1–8.
44.    Dijke KC Van, Schroe KCPGH, Boom RM. Microchannel Emulsification : From Computational Fluid Dynamics to Predictive Analytical Model. 2008;(12):10107–15.
45.    Kobayashi I, Mukataka S, Nakajima M. Effects of Type and Physical Properties of Oil Phase on Oil-in-Water Emulsion Droplet Formation in Straight-Through Microchannel Emulsification , Experimental and CFD Studies. 2005;(11):5722–30.
46.    Erten A, Kiraz A. Size-Based Sorting of Emulsion Droplets in Micro fl uidic Channels Patterned with Laser-Ablated Guiding Tracks ́ , ̌. 2020;
47.    Jakir M, Khan H, Hussain MA, Mujtaba IM. Multiphasic Reaction Modeling for Polypropylene Production in a Pilot-Scale Catalytic Reactor. 2016.
48.    Gallo-Molina JP, Ratkovich N, Alvarez O. The Application of Computational Fluid Dynamics to the Multiscale Study of Oil-in-Water Emulsions. Ind Eng Chem Res. 2018;57(2):578–89.
49.    Chen Z, Wang M. An improved immersed moving boundary for hydrodynamic force calculation in lattice Boltzmann method. :1–30.
50.    Journal AI, Dbouk T. A computational framework with an adaptive mesh refinement technique for concentrated suspension flows. Part Sci Technol [Internet]. 2019;0(0):1–10. Available from: https://doi.org/10.1080/02726351.2019.1624663
51.    Rocha CAO, Ullmann G, Silva DO, Vieira LGM. Jo u rn Pr pr oo f. Powder Technol [Internet]. 2020; Available from: https://doi.org/10.1016/j.powtec.2020.07.001
52.    Hadane A, Khamar L, Benjelloun S, Nounah A, Khamar M. Chinese Journal of Chemical Engineering CFD investigation of the agitation in the desupersaturation during the wet-process phosphoric acid ( WPPA ) process. 2020;28:2064–74.
53.    Lu R, Zhang L, Ricoux P, Wang L. Experiments and CFD-DEM simulations of cohesive particles sedimentation in stilled fl uid. Powder Technol [Internet]. 2019;356:222–30. Available from: https://doi.org/10.1016/j.powtec.2019.05.018
54.    Silva R, Garcia FAP, Faia PM, Rasteiro MG. Evaluating the performance of the Mixture Model coupled with High and Low Reynolds Turbulence closures in the numerical description of concentrated solid-liquid flows of settling particles. 2015;241–57.
55.    Duan X, Feng X, Peng C, Yang C, Mao Z. Jo u rn al Pr f. Chinese J Chem Eng [Internet]. 2020; Available from: https://doi.org/10.1016/j.cjche.2020.06.016
56.    States U, Code US, Note P. Copyright Warning and Restrictions.
57.    Bilgili E, Guner G. Mechanistic Modeling of Wet Stirred Media Milling for Production of Drug Nanosuspensions. AAPS PharmSciTech. 2021;22(1).
58.    Dbouk T. PT US CR. J Nonnewton Fluid Mech [Internet]. 2016; Available from: http://dx.doi.org/10.1016/j.jnnfm.2016.01.003
59.    Rahul P. Jadhav, Manohar D. Kengar, Nikita R. Nikam, Suraj B. Kumbhar, Shubham B. Devkar, Mangesh A. Bhutkar. Review on Computational Fluid Dynamics and Application. Asian J. Pharm. Res. 2019; 9(4):263-267.

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