Understanding nanoparticle flow with a new in vitro experimental and computational approach using hydrogel channels

Armel Boutchuen, Dell Zimmerman, Abdollah Arabshahi, John Melnyczuk and Soubantika Palchoudhury

Beilstein J. Nanotechnol. 2020, 11, 296–309. https://doi.org/10.3762/bjnano.11.22

Supporting Information

The supporting information includes the following items: swelling studies of the different pHEMA hydrogel formulations, Tables S1–S4 summarizing the experimental flow velocity and mass loss data for the four different iron oxide NPs, Table S5 and Table S6 describing the important parameters and NP properties used for the CFD simulations, and DLS size plot of representative iron oxide NP after prolonged storage at room temperature.

Supporting Information File 1: Additional experimental and computational data.
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Understanding nanoparticle flow with a new in vitro experimental and computational approach using hydrogel channels

Armel Boutchuen, Dell Zimmerman, Abdollah Arabshahi, John Melnyczuk and Soubantika Palchoudhury

Beilstein J. Nanotechnol. 2020, 11, 296–309. https://doi.org/10.3762/bjnano.11.22

How to Cite

Boutchuen, A.; Zimmerman, D.; Arabshahi, A.; Melnyczuk, J.; Palchoudhury, S. Beilstein J. Nanotechnol. 2020, 11, 296–309. doi:10.3762/bjnano.11.22

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TY  - JOUR
A1  - Boutchuen, Armel
A1  - Zimmerman, Dell
A1  - Arabshahi, Abdollah
A1  - Melnyczuk, John
A1  - Palchoudhury, Soubantika
T1  - Understanding nanoparticle flow with a new in vitro experimental and computational approach using hydrogel channels
JF  - Beilstein Journal of Nanotechnology
PY  - 2020///
VL  - 11
SP  - 296
EP  - 309
SN  - 2190-4286
DO  - 10.3762/bjnano.11.22
PB  - Beilstein-Institut
JA  - Beilstein J. Nanotechnol.
UR  - https://doi.org/10.3762/bjnano.11.22
KW  - computational fluid dynamics
KW  - drug delivery
KW  - iron oxide nanoparticles
KW  - nanoparticle flow
KW  - poly(hydroxyethyl methacrylate) (pHEMA) hydrogels
N2  - Nanoparticles (NPs) are considered as one of the most promising drug delivery vehicles and a next-generation solution for current medical challenges. In this context, variables related to flow of NPs such as the quantity of NPs lost during transport and flow trajectory greatly affect the clinical efficiency of NP drug delivery systems. Currently, there is little knowledge of the physical mechanisms dominating NP flow inside the human body due to the limitations of available experimental tools for mimicking complex physiological environments at the preclinical stage. Here, we report a coupled experimental and computational fluid dynamics (CFD)-based novel in vitro approach to predict the flow velocity and binding of NP drug delivery systems during transport through vasculature. Poly(hydroxyethyl)methacrylate hydrogels were used to form soft cylindrical constructs mimicking vascular sections as flow channels for synthesized iron oxide NPs in these first-of-its-kind transport experiments. Brownian dynamics and material of the flow channels played key roles in NP flow, based on the measurements of NP flow velocity over seven different mass concentrations. A fully developed laminar flow of the NPs under these conditions was simultaneously predicted using CFD. Results from the mass loss of NPs during flow indicated a diffusion-dominated flow at higher particle concentrations but a flow controlled by the surrounding fluid and Brownian dynamics at the lowest NP concentrations. The CFD model predicted a mass loss of 1.341% and 6.253% for the 4.12 g·mL−1 and 2.008 g·mL−1 inlet mass concentrations of the NPs, in close confirmation with the experimental results. This further highlights the reliability of our new in vitro technique in providing mechanistic insights of NP flow for potential preclinical stage applications.
ER  -

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Scholarly Works

Palchoudhury, S.; Das, P.; Ghasemi, A.; Tareq, S. M.; Sengupta, S.; Han, J.; Maglosky, S.; Almanea, F.; Jones, M.; Cox, C.; Rao, V. A Novel Experimental Approach to Understand the Transport of Nanodrugs. Materials (Basel, Switzerland) 2023, 16, 5485. doi:10.3390/ma16155485
Iranpour, S.; Bahrami, A. R.; Saljooghi, A. S.; Matin, M. M. Application of smart nanoparticles as a potential platform for effective colorectal cancer therapy. Coordination Chemistry Reviews 2021, 442, 213949. doi:10.1016/j.ccr.2021.213949
Tareq, S. M.; Boutchuen, A.; Roy, S.; Zimmerman, D.; Jur, G.; Bathi, J. R.; Palchoudhury, S. A Dynamic Light Scattering Approach for Detection of Nanomaterials in Tennessee River. Water Resources Research 2021, 57. doi:10.1029/2020wr028687
Dogra, P.; Butner, J. D.; Chuang, Y.-L.; Caserta, S.; Goel, S.; Brinker, C. J.; Cristini, V.; Wang, Z. Mathematical modeling in cancer nanomedicine: a review. Biomedical microdevices 2019, 21, 40. doi:10.1007/s10544-019-0380-2

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