Fatih Gozuacik, Xifan Wang and Douglas Natelson

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Presentation transcript:

AFM Imaging and Force Microscopy on Polydimethylsiloxane(PDMS) Efficiency Fatih Gozuacik, Xifan Wang and Douglas Natelson Department of Physics and Astronomy, Rice University, Houston, Texas Contact: fatihgozuacik@gmail.com, xifan.wang@rice.edu ABSTRACT PDMS and Silica Films CONCLUSIONS Polydimethylsiloxane (PDMS) is a silicon-based organic polymer. PDMS is widely used in many areas including but not limited to; cosmetics, food, hydraulic fluids, anti-aging & anti-foaming and medicine industries. In this research, PDMS will be investigated as an organic substance transfer agent and then improvement methods will be studied. PDMS structure: PDMS is widely used to transfer organic& inorganic samples in many labs. For such duty, an ideal PDMS should possess a soft surface to prevent damaging investigated material, appropriate adhesion and leaves minimum residue behind. Our goal is to discover the minimum-residue-leaving PDMS by manipulating the mixing ratio. Producer company suggests, 10:1 ratio for mixing the base and curing agent and small derivations of 9.9:1 and 10.1:1 ratio mixtures are investigated. More than 12 polymers were prepared and tested on both gold and silicon dioxide films. All variables other than mixing ratio were kept constant. For gold film analysis: 9.9 ratio was the most efficient(least residue leaving) polymer with raw data approach; 10.0 ratio for mid 70% approach; 9.9 ratio for the statistical approach (#3) (excluding negative difference); and 9.9 for approach #4. Silicon dioxide films resulted 9.9 ratio as the most efficient polymer ratio by leaving lowest residue behind. Such finding will assist organic and inorganic sample transfer efficiency. 3 sample AFM scans for clean and exposed side. PDMS on gold evaporated silica. Data Analysis Gold On Silica Film: Statistical touch ups: Frequency distribution and mid 70% average techniques have been applied for a more accurate analysis. FUTURE APPLICATION Gold Silica 9.9 : 1 Mix Ratio 10.0 : 1 Mix Ratio 10.1 : 1 Mix Ratio Approach1:Raw Data Average(%) Clean 0.00363 0.00327 0.00357 PDMS 0.00436 0.00469 0.00660 Difference 20.22 43.60 84.93 Approach 2: Mid 70% 0.00328 0.00304 0.00411 0.00373 0.00455 25.30 22.69 39.14 Approach 3: Stat.Frq. Dist.Avg(%) 0.00321 0.00285 0.00277 0.00446 0.00292 0.00394 39.10 -2.23 42.49 Approach 4: Excld.<Mid 70% 0.00465 0.00500 0.00527 41.76 64.48 61.45 Statistical Frequency Distribution (Clean) (PDMS) Due to the limited time and availability, a few amount of samples were scanned and analyzed. More samples shall be tested to increase accuracy of the data and results. Mixing ratio variation of two digits after decimal can be tested for the most efficient bonding ratio. Curing times and oven temperatures shall be considered for polymer efficiency. Different polymer ratios for distinctive purpose, such as; best ratio for biomolecule transfer or acidic molecule transfer shall be investigated. OBJECTIVE Discover the most efficient: Least residue leaving PDMS mixing ratio as a sample transfer agent. STEM EDUCATION CONNECTION According to RET program goals, such research shall be integrated in STEM education curriculum. To fulfil this goal, researcher will create a lesson plan and instructional materials, where students follow complete engineering design process to create the most efficient polymer by altering the mixing ratio of the base and curing agent in the classroom. Students will be brainstorming about the problem and then collaborate to hypothesize a mixing ratio and then create the polymer. After curing the polymers, students will test them by using force sensor or spring scale and apply tension on both sides of the polymer until it breaks. Students will present their methodology and results in class to increase their 21st century skills. METHODOLOGY & STATISTICAL ANALYSIS Polymers are uniformly formed, stirred with magnetic rods, cured in an oven while all variables other than the mixing ratio are kept constant. PDMS samples are first placed on gold evaporated SiO2 chips and then pure SiO2 chips. Those chips characterized by atomic force microscope. Half of the sample is exposed to PDMS and other half is kept clean. Sample chips are treated with acetone, isopropyl alcohol, and then plasma cleaning before PDMS exposure. In average, 10 sample scans were performed on both clean and exposed side. Samples are compared according to their surface area difference to discover the least residue leaving PDMS ratio. Statistical approaches such as mid 70% average and frequency distribution weighting are applied in calculations. Step by step procedure: ACKNOWLEDGEMENTS This research is supported by the National Science Foundation under Grant No. NSF EEC-1406885 and made possible with the support of: Rice University Rice University Office of STEM Engagement Prof. Douglas Natelson Dr. Xifan Wang Dr. Carolyn Nichol, Christina Crawford and Isaias Cerda Physics and Astronomy Department - Natelson Lab researchers Mix polymer base and curing agent. Stir with magnetic rod & stirrer. Cure in an oven. Clean the silica film and expose PDMS. Scan with an AFM. REFERENCES Approach 1: Raw data average without any statistical method application. Approach 2: Linear middle 70% average, excluding low 15% and high 15%. Approach 3: 70% average of the highest frequency distribution sector. Approach 4: Excluding PDMS data if higher than clean mid 70% average. SiO2 Film: Smoother surface with no statistical approach need. Hyun I. Kim, Thomas Koini, T. Randall Lee, and Scott S. Perry. Systematic Studies of the Frictional Properties of Fluorinated Monolayers with Atomic Force Microscopy: Comparison of CF3- and CH3-Terminated Films. Langmuir 1997, 13, 7192-7196. Seunghwan Lee, Astrid Puck, Michael Graupe, Ramon Colorado, Jr.Young-Seok Shon, T. Randall Lee, and Scott S. Perry. Structure, Wettability, and Frictional Properties of Phenyl-Terminated Self-Assembled Monolayers on Gold. Langmuir 2001, 17, 7364-7370. Ha¨kkinen, H. The gold–sulfur interface at the nanoscale. Nat. Chem. 4, 443–455 (2012). Love, J. C., Estroff, L. A., Kriebel, J. K., Nuzzo, R. G. & Whitesides, G. M. Self assembled monolayers of thiolates on metals as a form of nanotechnology. Chem. Rev. 105, 1103–1169 (2005). SiO2 9.9 : 1 Mix Ratio 10.0 : 1 Mix Ratio 10.1 : 1 Mix Ratio Raw Data Average (%) Clean 0.00470 0.00402 0.02386 PDMS 0.00608 0.00562 0.03817 Difference 29.33 39.87 59.93 All variables other than the mixing ration were kept constant. PDMS was cured in an oven at 60C for 24 hours. A 0.5 N weight was placed on the PDMS over the silica to increase exposure. 10 measurements were taken on both clean and PDMS exposed area.