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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Beom-Jin Lee | - |
| dc.contributor.author | 김은지 | - |
| dc.date.issued | 2024-02 | - |
| dc.identifier.other | 33504 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/38987 | - |
| dc.description | 학위논문(석사)--약학과,2024. 2 | - |
| dc.description.abstract | This study investigated the effects of drug formulation and shear stress on cellular uptake, viability, and real-time reactive oxygen species (ROS) sensing using a microfluidic bilayer liver-on-chip (BLC) system. To improve the biomimetics of the liver chip model and form vascular structures, we designed a bilayer model in which human umbilical vein endothelial cells and epithelial hepatocarcinoma cells (HepG2) were co-cultured through a porous membrane. Human serum albumin (HSA)-oleic acid nanoparticles (AONs) were synthesized using the desolvation method, and doxorubicin hydrochloride (DOX-HCl) was efficiently loaded into the nanoparticles (NPs) via an incubation process involving electrostatic interactions. Because of continuous blood flow in the human body, differences in cellular uptake and ROS generation of NPs occur between dynamic and static environments, affecting delivery efficiency. Therefore, cellular internalization and cell viability based on the drug formulation were evaluated under both static and dynamic conditions. Under dynamic conditions, we observed a notable enhancement in the cellular internalization of DOX-AONs compared to that under static conditions, leading to improved efficiency in killing cancerous cells. Simultaneously, real-time ROS production was detected using a sensor, and it was confirmed that with an increase in the drug concentration, cell viability decreased, and ROS production increased. It was concluded that there was a correlation between ROS production and cell survival rate. Additionally, to verify in vivo correlation of the liver chip data, IC50 values were used to predict LD50 values according to the regression formula in ICCVAM (log LD50 (mg/kg) = 0.7092 log IC50 (μg/mL) + 0.4005). This value was similar to LD50 of DOX in a mouse model, indicating that the model can be used as an alternative to animal testing. Keywords: bilayer liver-on-chip, HepG2 cell, real-time ROS sensing, nanoformulation, shear stress, doxorubicin, cell viability, IC50 value, predictive | - |
| dc.description.tableofcontents | 1. Introduction 1_x000D_ <br>2. Materials and Methods 4_x000D_ <br> 2.1. Materials 4_x000D_ <br> 2.2. Synthesis of OA-HSA conjugates (AOCs) 4_x000D_ <br> 2.3. Preparations of AONs and DOX-AONs 5_x000D_ <br> 2.3.1. Self-assembled AONs using desolvation method 5_x000D_ <br> 2.3.2. Encapsulation of DOX into AONs (DOX-AONs) 6_x000D_ <br> 2.3.3. Encapsulation efficiency (EE) and drug loading content (LC) 7_x000D_ <br> 2.4. Physicochemical characterizations of AOCs, AONs, and DOX-AONs 7_x000D_ <br> 2.4.1. Fourier transform-infrared (FT-IR) spectroscopy 7_x000D_ <br> 2.4.2. Matrix-Assisted Laser Desorption Ionization - Time of Flight Mass Spectrometry (MALDI-TOF MS) 8_x000D_ <br> 2.4.3. Dynamic light scattering (DLS) measurement 8_x000D_ <br> 2.4.4. Field emission scanning electron microscopy (FE-SEM) and field emission transmission electron microscopy (FE-TEM) analysis 9_x000D_ <br> 2.5. Cell culture and maintenance 9_x000D_ <br> 2.6. Establishment and calibration of microfluidic BLC system 10_x000D_ <br> 2.6.1. Calibration of BLC system 10_x000D_ <br> 2.6.2. Establishment of microfluidic BLC system 14_x000D_ <br> 2.6.3. Cell culturing on microfluidic BLC 18_x000D_ <br> 2.6.4. Cell viability assay 19_x000D_ <br> 2.6.5. Real-time ROS generation detection by sensor 19_x000D_ <br> 2.6.6. Cellular images using confocal laser scanning microscopy 20_x000D_ <br> 2.6.7. Estimation of IC50 and LD50 21_x000D_ <br>3. Results and discussions 22_x000D_ <br> 3.1. Characterization of AOCs 22_x000D_ <br> 3.2. Physicochemical characteristics of blank AONs and DOX-AONs 26_x000D_ <br> 3.3. Comparison of the effectiveness of DOX-AONs under dynamic and static conditions 31_x000D_ <br> 3.4. Effect of shear stress on cellular uptake 40_x000D_ <br>4. Conclusions 42_x000D_ <br>5. References 43_x000D_ <br>국문초록 47_x000D_ | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Effect of nano formulation and shear stress on the cellular behavior and real- time ROS sensing in a liver-bilayer microfluidic system | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 대학원 | - |
| dc.contributor.alternativeName | Kim Eunji | - |
| dc.contributor.department | 일반대학원 약학과 | - |
| dc.date.awarded | 2024-02 | - |
| dc.description.degree | Master | - |
| dc.identifier.url | https://dcoll.ajou.ac.kr/dcollection/common/orgView/000000033504 | - |
| dc.subject.keyword | Bilayer liver-on-chip | - |
| dc.subject.keyword | HepG2 cell | - |
| dc.subject.keyword | IC50 value | - |
| dc.subject.keyword | cell viability | - |
| dc.subject.keyword | doxorubicin | - |
| dc.subject.keyword | nanoformulation | - |
| dc.subject.keyword | predictive LD50 | - |
| dc.subject.keyword | real-time ROS sensing | - |
| dc.subject.keyword | shear stress | - |
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