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Tuning Surface Properties of Nanoparticles Using Computational Simulation and In Vitro Studies

為了解決Design psd free down的問題，作者ATHIKA DARUMAS PUTRI 這樣論述：

Albumin and liposomal nanoparticles (NPs) have gained tremendous interest as therapeutic drug carriers benefitting from their unique physicochemical properties. However, introducing NPs into biological environments would induce layers of protein adsorbed on the surface of the NPs known as protein c

orona. This in turn might impair the pristine function of NPs and reduce the drug’s efficacy itself. In this regard, we exploited the protein corona behavior on NPs surface through in vitro and in silico study designs. Firstly, the protein corona was studied by determining the size distribution and

zeta potential of NPs. The identification of the highly recruited protein profile (hard-corona) was then performed by SDS-PAGE electrophoresis and LC-MS/MS. Furthermore, the interaction between the NPs and the highly recruited proteins, namely albumin and apolipoprotein-C3, was constructed through u

nbiased molecular dynamics (MD) simulation. As a comparison, the most commonly studied protein corona, apolipoprotein E, was also investigated through MD. Herein, the in silico and experimental observations were carried out to understand the principle and behavior of protein-NPs interaction down to

the molecular level. The results obtained from physical characterization showed that the sizes of both types of NPs increased upon being introduced to fetal bovine serum ranging from 130 to 180 nm, with higher negative zeta potential indicated from -0.8 to -13 (for albumin NPs) and +40 to -16 (for l

iposomal NPs). A diverse protein corona formation was also found on liposomal NPs as opposed to that on albumin NPs. Further, to evaluate the effect of corona formation toward interaction with cells, the hard corona protein and soft corona protein were introduced to albumin NPs. As a result, the upt

ake efficiency in the two different treatments differs strongly, in association with the different serum concentrations. The effect of serum concentration in regulating the cellular availability was scrutinized by loading the anti-cancer compound into albumin NPs by differing the serum containing me

dia composition (with or without the fetal bovine serum). It shows that higher serum concentration affects highly toward the lower cytotoxicity of Mia-Paca-2 cell lines. Meanwhile, the corona protein interactions with albumin NPs were investigated through MD simulations with Martini-forcefield to ga

in better understanding beyond the corona protein and albumin NPs phenomena. The result suggests that the most favorable interaction of corona proteins observed in albumin NPs is with corona albumin. More interaction of the albumin-apolipoprotein complex was also observed toward the LDL-receptor, wh

ich was further introduced on the membrane surface. This result is associated coherently with the experimental finding that introducing apolipoprotein onto NPs surface is advantageous to enhance the NPs uptake efficiency by looking at the appropriate receptor present on the cancerous membrane surfac

e. In conclusion, the extensive molecular modeling studies potentially provide an excellent agreement with experimental observations and further offering better molecular insights into protein corona formation and interactions.

低頻振動之頻譜分析及其對高科技廠房精密儀器之影響

為了解決Design psd free down的問題，作者陳錦村 這樣論述：

許多精密內儀器，為了降低微振動的干擾，裝設了主動隔振系統，而依照隔振理論，在頻率小於√2倍系統自然頻率的振動是會被放大的，反而讓精密儀器對低頻振動更加敏感，低頻振動雖然不會造成破片等直接損失，但可能造成生產良率降低、儀器當機等之間接損失。由於低頻振動對高科技產業越來越重要，所以有必要對傳統頻譜分析方法和低頻振動來源重新檢視。作者發現頻譜分析所取的時間長度(頻率解析度)，會影響頻譜分析的結果，尤其是低頻暫態振動，然而，對進行頻譜分析所取的時間長度，目前並沒有標準或規範可供依循，例如造成當年台南科學園區高鐵振動的議題，各家顧問公司的分析沒有共同的基準，分析結果的比較各說各話，導致不少爭議。本研究

旨在探索頻譜分析所取的時間長度(頻率解析度) 如何影響頻譜分析的結果，並深入討論其理論基礎和詳述頻譜分析的步驟，以及透過補零(zero-padding)的方式進行頻譜分析。本研究同時以高鐵在高架橋上行駛和車輛在平面道路上行駛所引起的暫態振動，和環境背景微振動進行不同方法的分析比較，分析結果驗證了利用補零(zero-padding)的方式獲得較細的頻譜分佈寬度，可以提高低頻振動分析的精確度，可為不同研究者之間建立共同比較的基礎。另外，來自遠方且規模大地震可能包含長週期的地震波，週期可能長達10秒以上(0.1 Hz以下)，此種遠域地震並不會造成建築物的損壞或讓人員產生不適，然而當震幅達一定大小，可

能會對高科技廠房內的振動敏感機台產生影響。本研究利用台灣的強地動觀測網的地震紀錄和高科技廠房內的地震觀測系統，分析了10個遠域地震的震波內涵特性，利用奇異譜(Singular Spectrum Analysis)分析萃取地震波特性，同時藉由探討高科技廠房關鍵機台掃描機(scanner)的動力行為特性，使用0~0.7 Hz間的累積功率頻譜密度(accumulative power spectral density)和低頻加速度(low frequency acceleration)計算震幅，然後討論震波週期和震幅與掃描機當機的關聯，最後對遠域地震所引起的低頻振動的防治對策提出了可行的方法。