UDK 543 Original scientific article/Izvirni znanstveni članek ISSN 1580-2949 MTAEC9, 48(2)181(2014) SPIN-COATING FOR OPTICAL-OXYGEN-SENSOR PREPARATION UPORABA SPINSKEGA NANOSA PRI IZDELAVI OPTIČNIH SENZORJEV ZA KISIK Polonca Brglez1,2, Andrej Holobar1, Aleksandra Pivec3, Mitja Kolar2,4 !ECHO, d. o. o., Stari trg 37, 3210 Slovenske Konjice, Slovenia 2University of Maribor, Faculty of Chemistry and Chemical Engineering, Smetanova 17, 2000 Maribor, Slovenia 3ZRS Bistra Ptuj, Slovenski trg 6, 2250 Ptuj, Slovenia 4Centre of Excellence PoliMaT, Tehnološki park 24, 1000 Ljubljana, Slovenia mitja.kolar@um.si Prejem rokopisa — received: 2012-09-27; sprejem za objavo - accepted for publication: 2013-06-18 Thin-film oxygen sensors were prepared using the spin-coating technique, where a tris (4,7-diphenyl-1,10-phenanthroline) ruthenium(II) dichloride complex (RuDPP) in various solvents and silicones deposited on different substrates was used for the sensor production. By changing the spin-coating set-up parameters, homogeneous sensor coatings and the optimum sensor response to oxygen were studied - the sensors were exposed to various concentrations of oxygen within the range from 0 % to 100 %. During the presented study, the optimum results were obtained when a 150 ||L of sensor solution was applied to a Dataline foil using silicone E4 and a chloroform solvent. A spin coater with the following three rotation stages was used: 750/700 r/min for 3 s, 300 r/min for 3 s and 150 r/min for 4 s. The spin-coating technique has several benefits: it is fast, easy to use and appropriate for low-volume operations. It allows modifications and preparations of several sensor series using the minimum reagent consumption. However, the disadvantage of this technique also has to be mentioned, namely, an uneven film thickness in the radial direction. The film thickness mainly depends on the experimental set-up (volume, rotation time and speed, solvent viscosity and evaporation). Spin coating as an alternative and very flexible technique for an oxygen-sensor preparation is suggested for the laboratory-scale work, where the majority of experimental data could be used when other new coating methods are also researched and implemented. Keywords: tris (4,7-diphenyl-1,10-phenanthroline) ruthenium(II) dichloride complex, spin coating, optical oxygen sensor, oxygen Izdelani so bili tankoplastni optični senzorji za kisik s tehniko spinskega nanosa. Pri tem so bile uporabljene različne koncentracije tris (4,7-difenil-1,10-fenantrolin) rutenij(II) diklorid kompleksa (RuDPP), različna topila, polimerni nosilci, silikoni in parametri spinskega prekritja. Naš namen je bil pripraviti najbolj homogen nanos senzorske raztopine in tako dobiti najbolj optimalne lastnosti senzorjev. Preučevali smo tudi vpliv hitrosti in časa vrtenja spinske naprave za prekrivanje na odziv senzorjev, saj so bili le-ti po izdelavi izpostavljeni različnim koncentracijam kisika v območju od 0 % do 100 %. Najboljši nanos senzorske raztopine smo dobili s senzorsko raztopino v kloroformu 150 |L z uporabo silikona E4 z nanosom na folijo Dataline. Pri tem smo uporabili tri različne stopnje vrtenja: 3 s pri 750/700 r/min, 3 s pri 300 r/min in 4 s pri 150 r/min. Prednost uporabe spinskega prekrivanja je, da je ta tehnika zelo hitra, enostavna za uporabo in je primerna za nanos majhnih prostornin. Omogoča izdelavo več serij senzorjev z različnimi lastnostmi ob minimalni porabi reagentov. Nanos senzorske raztopine na polimernem nosilcu v radialni smeri je v veliki meri odvisen od eksperimentalnih razmer: prostornine nanosa, hitrosti vrtenja, viskoznosti in hlapnosti topil. Metoda spinskega prekritja se je izkazala kot učinkovita metoda za nanos senzorskih raztopin v laboratorijskem merilu, vendar je po celotni senzorski površini težko pripraviti popolnoma homogen nanos, zato je za pripravo večjih količin identičnih senzorjev - po optimiranju vseh drugih eksperimentalnih razmer - smiselno preučiti še alternativne metode nanašanja. Ključne besede: tris (4,7-difenil-1,10-fenantrolin) rutenijev(II) diklorid kompleks, spinsko prekritje, optični kisikov senzor, kisik 1 INTRODUCTION Oxygen (O2) is considered to be one of the more important gases in our environment. The determination of O2 concentrations in the air, especially at low levels, plays an important role in different areas ranging from environmental, biological, analytical and industrial monitoring. These are the reasons why there is still a growing interest in the construction and development of oxygen sensors.1-4 There has been a trend in the development of optical oxygen sensors over the last few decades because these sensors are more attractive than conventional ampero-metric sensors. Optical oxygen sensors have a lot of advantages such as: a faster response time, a high sensiti- vity and selectivity, no O2 consumption, the inertness against sample flow rate or stirring speed, absence of poison, and no need for a reference electrode.5-15 They are immune to exterior electromagnetic-field interference and can be produced as disposable sensors.1617 Optical oxygen sensors are cheap, easily miniaturized and simple to use; they mainly operate on the principle of oxygen quenching those dye molecules that have been entrapped within a porous support matrix. Ruthenium(II) complexes are, by far, the most widely used oxygen dyes, because they have relatively long fluorescent lifetimes determined by the metal-to-ligand charge-transfer (MLCT) excited state, fast response time, strong visible absorption, large Stokes shift, and high photochemical stability.23'11'12'1418-23 Ru(II) complexes exhibit a high sensibility to luminescence quenching and the positions of their absorption and emission spectra permit an application of low-cost, solid-state optoelectronics for the detection of luminescence intensity. The dyes can be excited with blue or even blue-green light-emitting diodes (LEDs) exhibiting a large Stokes shift and resulting in the emission of orange-red light.24 The basic operational principle of a fluorescent optical sensor for measuring oxygen is based on reducing the intensity of the fluorescence (quenching) due to the involvement of oxygen within the dye structure. The calibration of the most luminescence quenching-based optical sensors relies, in essence, on the Stern-Volmer equation. The immobilization of the Ru(II) complexes in solgel matrices has been recently investigated.4 25-27 There have also been reports on optical oxygen sensors based on the luminescence change of the ruthenium(II) complex immobilized in organic and inorganic polymers (polystyrene, silicone polymer, sol-gel glass, etc.) and zeolite matrix.28-30 The sol-gel process has been so far the most widely used method for the preparation of oxygen sensors.5 3132 It is an efficient immobilization technique due to its many desirable properties such as high thermal stability, good photostability and optical transparency within the visible region.5 The spin-coating technique is also used for the sensor preparation. Spin coating has been used for several decades for the application of thin films.33,34 This is a technique that uses centrifugal forces created by a spinning substrate for spreading a coating solution evenly over a surface.35 It can be controlled with a few parameters in order to yield a well-defined coating coverage.36 37 The flow is governed by a balance between the centrifugal force against the viscosity and surface tension. It has been shown that the non-uniform distribution in the initial film profile tends to become uniform during spinning. Spin coating has been mainly used in the photoresist coating process because of its simplicity of operation, its uniformity and the thinness of the coated layers. The spin-coating process involves depositing a small puddle of fluid onto the center of a substrate, and then spinning the substrate at a high speed (typically around 3000 r/min). The centripetal acceleration then causes the solution to spread towards, and eventually off, the edge of the substrate leaving a thin film on the surface. The coat thickness is controlled with the rotational speed of the substrate; faster rotations result in thinner coating layers. The spin-coating process needs to be reshaped and optimized because of the changes in the operational parameters and the wafer size.38 There is scientific literature describing the spin-coating process, emphasizing the importance of rotational speed, time, acceleration, periods, liquid viscosity, density, polymer, temperature and humidity for the film thickness.39 There are four distinct stages in the spin-coating process (Figure 1): • Deposition of a coating fluid onto a wafer or substrate. • Acceleration of the substrate up to its final desired rotational speed. • Spinning of the substrate at a constant rate; fluid viscous forces dominate the fluid thinning behavior. • Spinning of the substrate at a constant rate; the solvent evaporation dominates the coating thinning behavior. The final film thickness and other properties depend on the nature of the used polymer (viscosity, drying rate, percent of solids, surface tension) and the parameters chosen for the spin process (final rotational speed, acceleration). One of the more important factors in spin coating is the repeatability. Subtle variations in these parameters defining the spin process can result in drastic variations in the coated films. The presented goal was a preparation of thin-film oxygen sensors using the spin-coating technique. In this work a spin coater was used for spreading different sensor solutions onto various polymer substrates. The substrates (polymer solid layers - foils) were optically transparent films. The most important function of the substrate was to act as a strong mechanical carrier with a high transparency, physical strength, and chemical resistance. Different amounts of RuDPP in various solvents were used for the sensor production and various transparent polymer substrates were used as the carriers. The goal was to obtain the most homogeneous sensor coating with the spin coater by changing the set-up parameters. After the sensor preparation the sensors were exposed to various concentrations of oxygen, ranging from 0 % to 100 %. 2 EXPERIMENTAL WORK 2.1 Chemicals and solutions All the chemicals used were of analytical purity grade. All the solutions were prepared with deionized Figure 1: Scheme of the spin-coating sensor preparation Slika 1: Shematičen prikaz postopka spinskega nanosa pri izdelavi senzorjev water. Silicon (Elastosil E4, Elastosil E41, Wacker), a polymer layer (foil DATALINE 57170, Dataline, EU; foil PLASTIBOR TOP COD 12530 12950, Lazertechas, UAB; foil ESSELTE 509700, Esselte, EU), a tris (4,7-diphenyl-1,10-phenanthroline) ruthenium(II) dichlo-ride complex (Sigma-Aldrich), toluene (Sigma-Aldrich), chloroform (CHLO) (Sigma-Aldrich) and methyl ethyl ketone (ME) (Sigma-Aldrich) were used for the sensor preparation. The following gases from Messer, d. o. o., Slovenia, were used for testing an optical oxygen sensor: nitrogen (N2, 99.999 %) and oxygen (O2, 99.9999 %). 2.2 Apparatus Optical measurements were studied using an EOM-O2 micro electro-optical module (PreSens) controlled by the EOM-O2_v1_3_exe software, a gas-mixing device (Echo, d. o. o.) and a flow cell (Echo, d. o. o.). Additional equipment included: an AB54-S balance (Mettler Toledo), a spin-coater (Polos), a MST digital magnetic stirrer (Ika) and a SUPRA 35 VP (Carl Zeiss) scanning-electron microscope (SEM). 2.3 Preparation of RuDPP optical oxygen sensors Different amounts of RuDPP within the range of 20 mg to 80 mg were diluted using different solvents (toluene, chloroform and methyl ethyl ketone). An appropriate amount of RuDPP was weighted in a 10 mL flask and diluted using an appropriate solvent. The prepared sensor solution was then being stirred with a magnetic stirrer for 10 min. The sensor solution was then filtered through filter paper and a 4 mL sensor solution was added to 2 g of silicone. This sensor solution was mixed on a magnetic stirrer for about 1 h to become homogeneous and viscous. The sensor solution was protected from the external light with an aluminum foil, and was applied to the solid layers using the spin-coating technique. Different polymer solid layers (foils) were used for the substrate (ESSELTE, DATALINE and PLASTIBOR). Different amounts ((100, 150 and 200) pL) of the sensor solutions were applied using the spin-coating technique. The effects of changing the rotation speeds and times of spinning were also studied; the details are given in Table 1. Table 1: Rotation speed and spinning time Tabela 1: Hitrost vrtenja in cas vrtenja naprave za spinsko prekrivanje Stage Number of turns (r/min) Time of spinning (s) 1st step 500 to 900 1-10 2nd step 300 to 700 1-10 3rd step 100 to 150 1-10 solution was dispensed directly onto it. The high-speed rotation threw off most of the solution, leaving behind a thin, uniform coating. The prepared optical sensors were then dried; they were usually left to dry out for 24-48 h at a room temperature of (20 ± 2) C°. After drying, the optical sensors were cut to the diameter dimensions of 1.75 cm2/15 mm. The sensors were stored in a dark and dry place before use. 2.4 Measurement procedures The optical oxygen sensors were tested in a flow cell (Figure 2). They were excited with a blue LED and measured with an optical detector from PreSens. The gas mixtures (N2/O2) passed the active sensor surfaces at a constant flow rate of 1 L/min. The changes of the signal were measured for different concentrations of oxygen. The gas mixtures were prepared with a gas mixing device (Echo, d. o. o.).4 During the constant flow of the carrier gas, various concentrations of oxygen were added to obtain different concentrations within the range of 1 ■ 10-6 to 1000 ■ 10-6. The accuracy of the concentrations was ± 0.7 ■ 10-6. The gas-mixing device provided a repeatability of ± 0.15 % and, within the full-scale mode, the temperature range was from 15 °C to 25 °C and the pressure varied from 70 kPa to 400 kPa. Figure 3 schematically presents the system used for the optical measures. The measuring system consisted of: a gas-mixing device, a flow cell, an electro-optical module and a computer. Surface analyses of the sensors were performed with a scanning electron microscope (SEM), Supra 35 VP The sensor solution was mounted on a rotating platform. The substrate was rotated according to the selected rotation speed/spinning time and the sensor Figure 2: Scheme of the flow cell (left) and sensor positioning (right) Slika 2: Shema pretočne celice (levo) in namestitev senzorja (desno) Figure 3: Scheme of the measuring system Slika 3: Shema merilnega sistema Carl Zeiss. All the pictures were recorded using a 30 pm scan window at the 1 kV electronic potential. 3 RESULTS AND DISCUSSION The influences of the dye concentration, different polymer solid layers (foils), silicones, film thickness and different solvents on the sensor sensitivity were studied. 3.1 Influence of the RuDPP concentration vs. the sensor sensitivity The Stern-Volmer equation describes the fluorescence intensity versus the measured concentration of oxygen.4 A deviation from the linearity is connected with the heterogeneity of a polymer matrix; the fluorophore molecules are usually surrounded by voids and polymer particles, therefore, all the indicator molecules are non-equally accessible to oxygen. A decline in fluorescence is strongly dependent on the diffusion and adsorption of oxygen and on the dye solubility. The concentration of the indicator must be appropriately selected in order to obtain the optimum sensor sensitivity, and the dye concentration must be additionally optimized according to the measure range. The sensors were prepared according to the procedure described in Section 2.3. The amounts of (20, 40, 60 and 80) mg of RuDPP were used for preparing the sensor solution (Figure 4), while the linearity (R2) was Figure 4: Influence of RuDPP concentration vs. sensor response Slika 4: Vpliv koncentracije RuDPP na odziv senzorjev tested within the range of 0 % to 100 % concentration of oxygen. The linearity of the sensors prepared from 20 mg of RuDPP was 0.9309, for 40 mg of RuDPP it was 0.9691, for 60 mg of RuDPP it was 0.9888, and 0.9904 for 80 mg of RuDPP. The optimum sensor was the one with 80 mg of RuDPP, therefore, it can be concluded that the concentration of RuDPP strongly influences the sensor response. In general, with higher concentrations of RuDPP, the sensor linearity, accuracy and precision are improved. In addition, a strong fluorescence signal was obtained and no additional amplification of the measuring signal was used. The electronic-optical noise usually increased with a higher amplification rate, which can also be a reason for a nonlinear sensor response. On the other hand, due to the high cost of RuDPP, it is important to incorporate low dye concentrations. In order to prepare sensors with different properties, typical amounts of (40, 60 and 80) mg of RuDPP were used for further studies. 3.2 Sensor preparation - modification of foils and sili- In the next step different foils and silicones as the support matrices were tested. In order to optimize the sensors, different foils (Plastibor, Dataline, Esselte) and commercially available silicones (E4, E41) were used. The linearities and sensitivities (k) of different sensors were tested; Table 2 presents all the major sensor characteristics. Figure 5a presents the changes in the measured signal versus the various concentrations of oxygen with different foils, and Figure 5b shows the change in the signal with different silicones. When using the Datalain foil a slightly better linear response was obtained, especially at low concentration ranges of oxygen, when compared to the Plastibor or Esselte foils, but the selection of the solid layers does not significantly improve or change the sensor properties. It is generally known that with the increasing roughness of a substrate foil the adhesion of the coatings on the surface is improved even in spin coating. Here, it is important to mention that rough surfaces cause a lower transparency with a significant back-scattering light effect, and for this reason we used low-roughness foils. Additionally, a compromise between the foil transparency and surface cones Figure 5: a) Impact of a solid layer (a foil) on sensor response (signal/a.u. - arbitrary units vs. concentration of O2 in %), b) comparison of different silicones vs. sensor response Slika 5: a) Vpliv trdnega nosilca (folije) na odziv senzorjev (izmerjen signal (a.u. enote) vs. koncentracija O2 v %), b) vpliv silikona na občutljivost senzorja Table 2: Influence of the solid layers on the sensor characteristics Tabela 2: Vpliv trdnih plasti na lastnosti senzorjev RuDPP/mg FOIL SILICONE SOLVENT V/|L STAGES k R2 60 DATALINE E4 ME 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.699 0.978 60 PLASTIBOR E4 ME 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.464 0.960 60 ESSELTE E4 ME 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.684 0.886 60 DATALINE E41 CHLO 200 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.141 0.964 60 PLASTIBOR E41 CHLO 200 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.516 0.974 60 ESSELTE E41 CHLO 200 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.531 0.957 80 DATALINE E41 ME 200 1300 r/min -> 3 s 2200 r/min -> 5 s 3100 r/min -> 2 s -2.727 0.361 80 ESSELTE E41 ME 150 1300 r /min -> 3 s 2200 r/ min -> 5 s 3100 r/min -> 2 s -8.761 0.992 80 PLASTIBOR E41 ME 150 1300 r/ min -> 3 s 2200 r/min -> 5 s 3100 r/min -> 2 s -5.709 0.834 80 DATALINE E41 CHLO 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 5.106 0.975 80 PLASTIBOR E41 CHLO 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.073 0.943 80 ESSELTE E41 CHLO 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.787 0.966 20 DATALINE E4 ME 150 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.277 0.735 20 PLASTIBOR E4 ME 150 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 3.693 0.606 20 ESSELTE E4 ME 150 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 3.962 0.635 20 DATALINE E4 CHLO 150 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.545 0.946 20 PLASTIBOR E4 CHLO 150 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 1.609 0.585 20 ESSELTE E4 CHLO 150 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 1.94 0.845 40 DATALINE E41 CHLO 200 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.531 0.957 40 PLASTIBOR E41 CHLO 200 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 3.857 0.959 40 ESSELTE E41 CHLO 200 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 4.077 0.865 40 DATALINE E4 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 6.468 0.528 40 PLASTIBOR E4 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 6.654 0.524 40 ESSELTE E4 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 7.003 0.524 40 DATALINE E41 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.166 0.555 40 PLASTIBOR E41 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.207 0.562 40 ESSELTE E41 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 1.806 0.405 Table 3: Variation of silicones vs. sensor sensitivity Tabela 3: Vpliv silikona na odzivnost senzorjev RuDPP/mg FOIL SILICONE SOLVENT V/|L STAGES k R2 40 DATALINE E4 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 6.468 0.528 40 DATALINE E41 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.166 0.555 40 PLASTIBOR E4 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 6.654 0.524 40 PLASTIBOR E41 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.207 0.562 40 ESSELTE E4 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 7.003 0.524 40 ESSELTE E41 CHLO 200 1750 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 1.806 0.405 60 DATALINE E4 ME 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.699 0.978 60 DATALINE E41 ME 150 1600 r/min -> 3 s 2300 r/min -> 3 s 3150 r/min -> 4 s 2.152 0.991 2500 2000 1500 ,1000 500 y = 4.4563x + 1598.5 R2 = 0.9981 __ 2500 2000 i ,SM< ,„.....*...... METHYL ETHYL KETONE SENSORS t1000 500 6b 6a 10 20 30 40 50 60 70 80 90 oxygen concentration 1 % 100 10 20 30 40 50 GO 70 oxygen concentration 1% 80 90 100 Figure 6: a) Sensor response under optimum conditions (signal/a.u. - arbitrary units vs. concentration of O2 in %), b) sensitivity of the sensor using different solvents (chloroform and methyil ethyil ketone) Slika 6: a) Odziv senzorja pri optimalnih pogojih (izmerjen signal (a.u. enote) vs. koncentracija O2 v %), b) vpliv topil (kloroform, metil-etil keton) na odziv senzorjev roughness was made by adding inert silicones to the sensor solution. Table 3 presents the conditions for preparing the sensor solutions using different silicones. The optimum linearity (0.9914) was obtained using silicone E41, foil Dataline and 60 mg of RuDPP. The silicone adhesion of the sensor solution to the foils was significantly improved, while preserving the optimum light transparency. 3.3 Spin coating and sensor thickness A lot of factors participated in the spin-coating sensor preparation33,34 - one of these was also the selection of a suitable solvent. The sensors were prepared using chloroform, toluene, and methyl ethyl ketone. Toluene as a solvent proved to be unsuitable because it partially dissolved the surfaces of the foils. Other solvents were constantly evaporating, also during the spin-coating period, but the sensors prepared with chloroform presented better characteristics (linearity and sensitivity) than the sensors prepared with methyl ethyl ketone (Figure 6a). Chloroform had a lower evaporating rate than methyl ethyl ketone and the sensors prepared with chloroform had a uniform film thickness. Figure 6b demonstrates that the sensor prepared with chloroform also had a substantially higher signal (by approximately 30 %), while the other parameters remained constant. Our further experimental work used different spin-coating stages (periods) and accelerations. The optimum results were obtained when a 150 pL sensor solution in chloroform containing 80 mg of RuDPP with silicone E41 (foil Dataline) was applied (Figure 6a) under the following spin-coating conditions: 1st step: 750/700 r/min ^ 3 s 2nd step: 300 r/min ^ 3 s 3rd step: 150 r/min ^ 4 s This spin-coating technique had several benefits including a fast process time (only a few seconds) when using low volumes of reagents. A modification of the spin speeds or an increase in the spin time allowed a thin-film preparation (below 1 pm). Using scanning electron microscopy, the irregularities in the sensor surface were searched. For the SEM analysis, the sensors with homogeneous surfaces (an optical selection) and optimum oxygen responses were selected. An optical selection means that the sensors with the most uniform coating and without any visible solid particles or air bubbles were scanned (Figure 7). The coatings and thicknesses of the sensors were incompletely uniform throughout the sensor surfaces varying within the range of (3.5-5.0 ± 0.5) pm. Air bubbles were visible on individual parts, probably captured in the sensors during the polymerization step. This i F" 1 Ml. lux S^k.SEl u.sipu-aoow = Figure 7: Optical-oxygen-sensor SEM images at 2500-times Slika 7: SEM-posnetka površine optičnih senzorjev za kisik pri 2500-kratni povečavi could be avoided, to some degree, by implementing a vacuum chamber over the treated surface. The main problem regarding the entrapped air bubbles was the fluctuation of the scattering light causing a lower fluorescence signal - the light was scattered in all directions. The entrapped air bubbles could also cause a longer response time - the measuring oxygen molecules can be trapped within the presented voids. 4 CONCLUSION The spin-coating technique was studied while used for the optical-sensor preparation when different parameters directly affected the film thickness and, therefore, also the sensor response to oxygen. This paper primarily focuses on the influences of the rotation speed and spinning time on the film thickness, in addition to the acceleration, temperature, humidity, viscosity, solvents, silicones, foils and RuDPP concentration studied. The optimum results were obtained when 80 mg of RuDpP was dissolved in chloroform, silicone E41 was added and a 150 pL of sensor solution was applied to the Dataline foil under the following spin-coating conditions: 1st step: 750/700 r/min for 3 s, 2nd step: 300 r/min for 3 s, and 3rd step: 150 r/min for 4 s. Spin coating is an alternative method for a sensor preparation. It is a very fast, simple method, consuming low volumes of reagents, but making it difficult to prepare completely homogeneous layers on the whole sensor surface. Therefore, it is suggested to be used for a laboratory-scale sensor preparation, where the majority of experimental data could be used later when new coating methods are researched. Acknowledgements The authors would like to thank the Slovenian Technology Agency (TIA) for the financial support through Grant P-MR-08/54. The authors acknowledge the financial support from the Ministry of Education, Science, Culture and Sport of the Republic of Slovenia through the contract No. 3211-10-000057 (Centre of Excellence for Polymer Materials and Technologies). 5 REFERENCES 1 H. R. Zhang, B. Li, B. F. Lei, W. L. Li, Journal of Luminescence, 128 (2008) 8, 1331-1338 2K. Matsui, F. Momose, Chemistry of Materials, 9 (1997) 11, 2588-2591 3D. S. Tyson, J. Bialecki, F. N. Castellano, Chemical Communications, 23 (2000), 2355-2356 4 P. Brglez, A. Holobar, A. Pivec, M. Kolar, N. Belsak, Acta Chimica Slovenica, 59 (2012) 1, 50-58 5H. R. Zhang, B. Li, B. F. Lei, W. L. Li, S. Z. Lu, Sensors and Actuators B-Chemical, 123 (2007) 1, 508-515 6L. Huynh, Z. U. Wang, J. Yang, V. Stoeva, A. Lough, I. Manners, M. A. Winnik, Chemistry of Materials, 17 (2005) 19, 4765-4773 7M. E. Kose, A. Omar, C. A. Virgin, B. F. Carroll, K. S. Schanze, Langmuir, 21 (2005) 20, 9110-9120 8 B. H. Han, I. Manners, M. A. Winnik, Chemistry of Materials, 17 (2005) 12, 3160-3171 9M. E. Kose, B. F. Carroll, K. S. Schanze, Langmuir, 21 (2005) 20, 9121-9129 10 H. D. Zhang, Y. H. Sun, K. Q. Ye, P. Zhang, Y. Wang, 15 (2005) 31, 3181-3186 11Z. J. Fuller, K. A. Kneas, W. Y. Xu, J. N. Demas, B. A. DeGraff, Analytical Chemistry, 75 (2003) 11, 2670-2677 12 Y. Tang, E. C. Tehan, Z. Y. Tao, F. V. Bright, Analytical Chemistry, 75 (2003) 10, 2407-2413 13 M. C. DeRosa, P. J. Mosher, G. P. A. Yap, K. S. Focsaneanu, R. J. Focsaneanu, C. E. B. Evans, Inorganic Chemistry, 42 (2003) 16, 4864-4872 14 M. T. Murtagh, M. R. Shahriari, M. Krihak, Chemistry of Materials, 10 (1998) 12, 3862-3869 15 C. McDonagh, B. D. MacCraith, A. K. McEvoy, Analytical Chemistry, 70 (1998) 1, 45-50 16 J. F. Fernandez-Sanchez, T. Roth, R. Cannas, M. K. Nazeeruddin, S. Spichiger, M. Graetzel, U. E. Spichiger-Keller, Talanta, 71 (2007) 1, 242-250 17 S. Arain, G. T. John, C. Krause, J. Gerlach, O. S. Wolfbeis, I. Kli-mant, Sensors and Actuators B-Chemical, 113 (2006) 2, 639-648 18 C. McDonagh, P. Bowe, K. Mongey, B. D. MacCraith, Journal of Non-Crystalline Solids, 306 (2002) 2, 138-148 19 K. Matsui, K. Sasaki, N. Takahashi, Langmuir, 7 (1991) 11, 2866-2868 20 E. R. Carraway, J. N. Demas, B. A. Degraff, J. R. Bacon, Analytical Chemistry, 63 (1991) 4, 337-342 21 P. Innocenzi, H. Kozuka, T. Yoko, Journal of Physical Chemistry B, 101 (1997) 13, 2285-2291 22 M. M. F. Choi, D. Xiao, Analytica Chimica Acta, 403 (2000) 1-2, 57-65 23 X. Chen, Z. M. Zhong, Z. Li, Y. Q. Jiang, X. R. Wang, K. Y. Wong, Sensors and Actuators B-Chemical, 87 (2002) 2, 233-238 24 P. Hartmann, M. J. P. Leiner, M. E. Lippitsch, Sensors and Actuators B-Chemical, 29 (1995) 1-3, 251-257 25 B. D. Maccraith, Analyst, 118 (1993) 4, 385-388 26 P. Hartmann, M. J. P. Leiner, M. E. Lippitsch, Analytical Chemistry, 67 (1995) 1, 88-93 27 H. J. Kim, Y. C. Jeong, J. I. Rhee, T. H. Kim, Bulletin of the Korean Chemical Society, 27 (2006) 12, 2084-2086 28 Y. Amao, I. Okura, Sensors and Actuators B-Chemical, 88 (2003) 2, 162-167 29 S. Draxler, M. E. Lippitsch, I. Klimant, H. Kraus, O. S. Wolfbeis, Journal of Physical Chemistry, 99 (1995) 10, 3162-3167 30 B. Meier, T. Werner, I. Klimant, O. S. Wolfbeis, Sensors and Actuators B-Chemical, 29 (1995) 1-3, 240-245 31X. D. Wu, L. T. Song, B. Li, Y. H. Liu, Journal of Luminescence, 130 (2010) 3, 374-379 32 B. F. Lei, B. Li, H. R. Zhang, S. Z. Lu, Z. H. Zheng, W. L. Li, Y. Wang, Advanced Functional Materials, 16 (2006) 14, 1883-1891 33 A. Doliska, S. Strnad, J. Stana, E. Martinelli, V. Ribitsch, K. Sta-na-Kleinschek, Journal of Biomaterials Science-Polymer Edition, 23 (2012) 5, 697-714 34 A. Doliska, M. Kolar, K. Stana-Kleinschek, M. Mozetic, Surface and Interface Analysis, 44 (2012) 1, 56-61 35 M. C. Lin, C. K. Chen, Applied Mathematical Modelling, 36 (2012) 6, 2536-2549 36 Y. K. Yang, T. C. Chang, Microelectronics Journal, 37 (2006) 8, 746-751 37 Y. K. Kuo, C. G. Chao, Microelectronics Journal, 37 (2006) 8, 759-764 38 J. Y. Jung, Y. T. Kang, J. Koo, International Journal of Heat and Mass Transfer, 53 (2010) 9-10, 1712-1717 39 P. Yimsiri, M. R. Mackley, Chemical Engineering Science, 61 (2006) 11, 3496-3505