The Diffusion of a Personal Health Record for Patients with Type 2 Diabetes Mellitus in Primary Care

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El-Sayed M. El-Horbaty, Ain Shams University, Egypt

Karla Felix Navarro, University of Technology, Sydney, Australia Joseph Finkelstein, The Johns Hopkins Medical Institutions, USA Stanley M. Finkelstein, University of Minnesota - Minneapolis, USA


Josean Garrués-Irurzun, University of Granada, Spain Alejandro Giorgetti, University of Verona, Italy

Wojciech Glinkowski, Polish Telemedicine Society / Center of Excellence "TeleOrto", Poland Francisco J. Grajales III, eHealth Strategy Office / University of British Columbia, Canada

Conceição Granja, Conceição Granja, University Hospital of North Norway / Norwegian Centre for Integrated Care and Telemedicine, Norway

William I. Grosky, University of Michigan-Dearborn, USA Richard Gunstone, Bournemouth University, UK

Amir Hajjam-El-Hassani, University of Technology of Belfort-Montbéliard, France Lynne Hall, University of Sunderland, UK

Päivi Hämäläinen, National Institute for Health and Welfare, Finland Kari Harno, University of Eastern Finland, Finland

Anja Henner, Oulu University of Applied Sciences, Finland Stefan Hey, Karlsruhe Institute of Technology (KIT) , Germany Dragan Ivetic, University of Novi Sad, Serbia

Sundaresan Jayaraman, Georgia Institute of Technology - Atlanta, USA

Malina Jordanova, Space Research & Technology Institute, Bulgarian Academy of Sciences, Bulgaria Attila Kertesz-Farkas, University of Washington, USA

Valentinas Klevas, Kaunas University of Technology / Lithuaniain Energy Institute, Lithuania Anant R Koppar, PET Research Center / KTwo technology Solutions, India

Bernd Krämer, FernUniversität in Hagen, Germany Roger Mailler, University of Tulsa, USA

Dirk Malzahn, OrgaTech GmbH / Hamburg Open University, Germany

Salah H. Mandil, eStrategies & eHealth for WHO and ITU - Geneva, Switzerland Herwig Mannaert, University of Antwerp, Belgium

Agostino Marengo, University of Bari, Italy Igor V. Maslov, EvoCo, Inc., Japan

Ali Masoudi-Nejad, University of Tehran , Iran

Cezary Mazurek, Poznan Supercomputing and Networking Center, Poland Teresa Meneu, Univ. Politécnica de Valencia, Spain

Kalogiannakis Michail, University of Crete, Greece

José Manuel Molina López, Universidad Carlos III de Madrid, Spain Karsten Morisse, University of Applied Sciences Osnabrück, Germany

Ali Mostafaeipour, Industrial engineering Department, Yazd University, Yazd, Iran Katarzyna Musial, King's College London, UK

Hasan Ogul, Baskent University - Ankara, Turkey José Luis Oliveira, University of Aveiro, Portugal

Hans C. Ossebaard, National Institute for Public Health and the Environment - Bilthoven, The Netherlands Carlos-Andrés Peña, University of Applied Sciences of Western Switzerland, Switzerland

Tamara Powell, Kennesaw State University, USA

Cédric Pruski, CR SANTEC - Centre de Recherche Public Henri Tudor, Luxembourg Andry Rakotonirainy, Queensland University of Technology, Australia


Addisson Salazar, Universidad Politecnica de Valencia, Spain Abdel-Badeeh Salem, Ain Shams University, Egypt

Åsa Smedberg, Stockholm University, Sweden Chitsutha Soomlek, University of Regina, Canada

Monika Steinberg, University of Applied Sciences and Arts Hanover, Germany Jacqui Taylor, Bournemouth University, UK

Andrea Valente, University of Southern Denmark, Denmark Jan Martijn van der Werf, Utrecht University, The Netherlands Liezl van Dyk, Stellenbosch University, South Africa

Lisette van Gemert-Pijnen, University of Twente, The Netherlands Sofie Van Hoecke, Ghent University, Belgium

Iraklis Varlamis, Harokopio University of Athens, Greece Genny Villa, Université de Montréal, Canada

Stephen White, University of Huddersfield, UK Levent Yilmaz, Auburn University, USA Eiko Yoneki, University of Cambridge, UK


pages: 87 - 96

Energy Harvesting Nanostructured Porous Silicon Scaffolds for Enhanced Efficiency Biofuel Cells

Mohamad Hajj-Hassan, Lebanese International University, Lebanon Houssein Hajj-Hassan, Lebanese International University, Lebanon Hassan Khachfe, Lebanese International University, Lebanon pages: 97 - 106

Design, Creativity and Human Computer Interaction Design Education

Alma Leora Culén, University of Oslo, Norway

Henry N. Mainsah, Oslo School of Architecture and Design, Norway Sisse Finken, University of Oslo, Norway

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An Interactive Web Tool to Facilitate Shared Decision Making in Dementia: Design Issues Perceived by Caregivers and Patients

Marijke Span, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Carolien Smits, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Leontine Groen-van de Ven, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Jan Jukema, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Ruud Janssen, Research group IT Innovation in Health Care, Windesheim University of Applied Sciences Zwolle, The Netherlands

Myrra Vernooij-Dassen, Department of Primary Care, IQ HealthCare, Radboud University Nijmegen; Kalorama Foundation, Radboud Alzheimer Centre Nijmegen, The Netherlands

Jan Eefsting, Department of Nursing Home Medicine and EMGO Institute for Health ad Care Research, VU University Medical Centre Amsterdam, The Netherlands

Marike Hettinga, Research group IT Innovation in Health Care, Windesheim University of Applied Sciences Zwolle, The Netherlands

pages: 122 - 135

The State of Video-Based Learning: A Review and Future Perspectives

Ahmed Mohamed Fahmy Yousef, Learning Technologies Research Group (Informatik 9), RWTH Aachen University, Germany

Mohamed Amine Chatti, Learning Technologies Research Group (Informatik 9), RWTH Aachen University, Germany Ulrik Schroeder, Learning Technologies Research Group (Informatik 9), RWTH Aachen University, Germany

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Anthony Glascock, Drexel University, USA pages: 147 - 156

Wireless Health: Making Your Devices Talk -- A Review, Solution, and Outlook for Wireless Health Connectivity


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Managing Language Diversity Across Cultures: the English-Mongolian Case Study

Amarsanaa Ganbold, National University of Mongolia, Mongolia Feroz Farazi, University of Trento, Italy

Moaz Reyad, University of Trento, Italy

Oyundari Nyamdavaa, National University of Mongolia, Mongolia Fausto Giunchiglia, University of Trento, Italy

pages: 177 - 183

The Diffusion of a Personal Health Record for Patients with Type 2 Diabetes Mellitus in Primary Care

Floor Sieverink, University of Twente, The Netherlands

Louise Braakman-Jansen, University of Twente, The Netherlands Yvonne Roelofsen, Isala, The Netherlands

Steven Hendriks, Isala, The Netherlands

Robbert Sanderman, University of Twente, The Netherlands

Henk Bilo, Isala / University of Groningen and University Medical Centre Groningen, The Netherlands Julia Van Gemert-Pijnen, University of Twente, The Netherlands

pages: 184 - 194

Remote Synchronous Usability Testing as a Strategy to Integrate Usability Evaluations in the Software Development Process: A Field Study

Fulvio Lizano, National University, Costa Rica Jan Stage, Aalborg University, Denmark pages: 195 - 209

A Pseudo-HDR Method Implementation for Medical Images Enhancement. New post-processing method for X-ray chest image quality enhancement

Desislava Georgieva, New Bulgarian Univerity, Bulgaria Vesselin Gueorguiev, Technical University Sofia, Bulgaria Ivan Evgeniev Ivanov, Technical University Sofia, Bulgaria pages: 210 - 219

Understanding eHealth use from a Persuasive System Design Perspective: an Antibiotic Information Application for Nurses

Jobke Wentzel, University of Twente, the Netherlands

Nienke Beerlage-de Jong, University of Twente, the Netherlands Lars Nijdam, Hospital Medisch Spectrum Twente, the Netherlands

Regine van Drie-Pierik, Hospital Medisch Spectrum Twente, the Netherlands Lisette van Gemert-Pijnen, University of Twente, the Netherlands

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Refining Advanced Professional Development for Online Teaching and Course Building: An Evaluation From the Faculty Perspective

Vanessa Slinger-Friedman, Kennesaw State University, USA Joe Terantino, Kennesaw State University, USA

Christopher K. Randall, Kennesaw State University, USA Philip J. Aust, Kennesaw State University, USA


pages: 240 - 251

Technology-Enhanced Language Learning: A Case Study of a Global Classroom in Second Life

Kevin Oh, University of San Francisco, USA Natalie Nussli, University of San Francisco, USA pages: 252 - 261

Early Stages of Business Modeling for Open Source Home Care Technology. Lessons learned from an initial Inventory.

Elles Gyaltsen-Lohuis, Windesheim University of Applied Sciences, The Netherlands Marike Hettinga, Windesheim University of Applied Sciences, The Netherlands Ruud Janssen, Windesheim University of Applied Sciences, The Netherlands Jan Nauta, Windesheim University of Applied Sciences, The Netherlands Sikke Visser, Windesheim University of Applied Sciences, The Netherlands pages: 262 - 271

Combining User-Centered Design with the Persuasive Systems Design Model; The Development Process of a Web-Based Registration and Monitoring System for Healthcare-Associated Infections in Nursing Homes

Nienke Beerlage-de Jong, University of Twente, the Netherlands

Andrea Eikelenboom-Boskamp, Canisius Wilhelmina Hospital & Radboud University Medical Centre, the Netherlands

Andreas Voss, Canisius Wilhelmina Hospital & Radboud University Medical Centre, the Netherlands Robbert Sanderman, University of Twente & University of Groningen, the Netherlands

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Peter P. Pott, Institute of Electromechancial Design, Technische Universität Darmstadt, Germany Markus Hessinger, Institute of Electromechancial Design, Technische Universität Darmstadt, Germany Roland Werthschützky, Institute of Electromechancial Design, Technische Universität Darmstadt, Germany Helmut F. Schlaak, Institute of Electromechancial Design, Technische Universität Darmstadt, Germany Eugen Nordheimer, Institute of Computer Engineering, Automation Lab, Heidelberg University, Germany Essameddin Badreddin, Institute of Computer Engineering, Automation Lab, Heidelberg University, Germany Achim Wagner, Institute of Computer Engineering, Automation Lab, Heidelberg University, Germany pages: 279 - 290

Business Process Evaluation in Agile Business Process Management Using Quality Models

Michael Gebhart, iteratec GmbH, Germany Marco Mevius, HTWG Konstanz, Germany Peter Wiedmann, HTWG Konstanz, Germany pages: 291 - 299

Teleconsultation/Telediagnosis using Teledentistry Technology: a Pilot Feasibility Study

Rodrigo Mariño, Oral Health CRC, Melbourne Dental School University of Melbourne, Australia Utsana Tonmukayakul, Dental Health Services Victoria, Australia

Parul Marwaha, Oral Health CRC, Melbourne Dental School, University of Melbourne, Australia Richard Collmann, Victorian eResearch Strategic Initiative, University of Melbourne, Australia


pages: 300 - 309

Personalized Virtual Coaching for Lifestyle Support: Principles for Design and Evaluation

Olga Kulyk, Center for eHealth Research and Disease Management, University of Twente, The Netherlands Rieks op den Akker, Human Media Interaction, University of Twente, The Netherlands

Randy Klaassen, Human Media Interaction, University of Twente, The Netherlands

Lisette van Gemert-Pijnen, Center for eHealth Research and Disease Management, University of Twente, The Netherlands

pages: 310 - 324

Impact of Population Size, Selection and Multi-Parent Recombination within a Customized NSGA-II for Biochemical Optimization

Susanne Rosenthal, FHDW, University of Applied Sciences, Germany Markus Borschbach, FHDW, University of Applied Sciences, Germany pages: 325 - 337

AMIDE — Automatic Molecular Inverse Docking Engine for Large-Scale Proteins Targets Identification

Romain Vasseur, MEDyC, UMR CNRS 7369, University of Reims (URCA), Reims, France Stéphanie Baud, MEDyC, UMR CNRS 7369, University of Reims (URCA), Reims, France

Luiz Angelo Steffenel, SYSCOM Team, CReSTIC EA3804, University of Reims (URCA), Reims, France Xavier Vigouroux, Center for Excellence in Parallel Programming, Bull SAS, Echirolles, France Laurent Martiny, MEDyC, UMR CNRS 7369, University of Reims (URCA), Reims, France Michael Krajecki, SYSCOM Team, CReSTIC EA3804, University of Reims (URCA), Reims, France Manuel Dauchez, MEDyC, UMR CNRS 7369, University of Reims (URCA), Reims, France pages: 338 - 349

Towards an interactive web tool that supports shared decision making in dementia: identifying user requirements

Marijke Span, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Carolien Smits, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Leontine Groen-van de Ven, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Jan Jukema, Research group Innovation of Care of Older Adults and Social Work, Windesheim University of Applied Sciences Zwolle, The Netherlands

Anita Cremers, TNO Human Factors, Utrecht University of Applied Sciences, department: Multi Modal User Interface Design, Utrecht, The Netherlands

Myrra Vernooij-Dassen, Department of Primary Care, IQ HealthCare, Radboud University Nijmegen; Kalorama Foundation, Radboud Alzheimer Centre Nijmegen, The Netherlands

Jan Eefsting, Department of Nursing Home Medicine and EMGO Institute for Health ad Care Research, VU University Medical Centre Amsterdam, The Netherlands

Marike Hettinga, Research group IT Innovation in Health Care Windesheim University of Applied Sciences Zwolle, The Netherlands

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Leonardo Angelone, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA

Nikos Makris, Department of Psychiatry and Neurology Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA

pages: 373 - 382

Using Neural Networks and Feature Selection Algorithms in the Identification of Protein Signatures for the Prediction of Alzheimer's Disease

Lara Dantas, University of Pernambuco, Brazil Mêuser Valença, University of Pernambuco, Brazil


Energy Harvesting Nanostructured Porous Silicon Scaffolds for Enhanced

Efficiency Biofuel Cells

Mohamad Hajj-Hassan, Hussein Hajj-Hassan, Hassan M. Khachfe

Dept. of Biomedical Engineering

Lebanese International University Beirut, Lebanon,,

Abstract— An Enzymatic biofuel cell is a specific type of fuel cell which uses enzymes as catalysts to oxidize its fuel. Because of their efficient size and immobility, they pose as a great promise in terms of their relatively inexpensive components and fuels, as well as a potential power source for bionic implants. Here, we present the use of dry-etched nanotextured porous silicon scaffolds as a basis for new biofuel designs. Such an architecture increases the contact surface area of silicon with surrounding biofuel to enhance the process of harvesting of energy, and consequently, the efficiency of the cell.

Keywords-nanotechnology; porous silicon; biofuel cell


Recent advances in micro and nanotechnologies allow the development of implantable, portable, and miniature devices for a broad range of applications, including biomedical fields [1]. Powering implantable medical devices necessitates the development of lightweight, non-toxic and stable sources of energy with long life spans. In fact, the number of battery charging cycles in micro-energy harvesting methods is a major source of limitation [2]. Several micro-energy harvesting sources have been already identified in previous research, namely, low and high frequency electromagnetic Radio Frequency (RF) signal harvesting, conversion of vibration into energy, thermal and pressure gradients energy harvesting in addition to the latest attempts towards organic energy generation directly within the human body using fuel cells [3, 4].

Harvesting energy using ambient vibration has been the focus of various projects [5-7]. Devices made for this purpose are mechanically modeled with a base excitation of an elastically mounted seismic mass moving past a coil. Optimal architecture for maximal power generation under different operating conditions has also been shown [8]. Various applications of this principle have manifested in systems integrated in footwear to harvest energy from walking [9], while in other designs piezoelectric and electromagnetic generators convert pressure variations into electricity [10]. The power generated using these methods ranges from tens to hundreds of milliwatts [4, 7, 8]. On the other hand, several studies have focused on energy harvesting from low frequency vibrations [7, 11]. This concept was made viable by creating a generator that

converts low-frequency environmental vibrations to a higher frequency by employing the frequency up conversion technique [12, 13]. One major limitation of this technology is encountered with patients that are not able to perform any physical activities in order to power the generator and, hence, produce the necessary charging current.

Energy harvesting using RF inductive coupling is a very promising technology, particularly in the presence of such a wide variety of RF signals in our everyday environment. Additionally, this technology can also be used to send data back to a base station, thus creating a two-way link. The system consists of a power generating circuit linked to a receiving antenna in order to capture the RF signal and convert it to a DC voltage [14]. The main challenge in this technology is in the receiver’s capacity to read various frequencies, as well as the use of efficient power rectifiers. Several interesting studies have reported either the use of multiple energy harvesting antennas in one area [15], which has shown that an increase of 83% in area results in 300% increase in power, or the design of a high efficiency, ultra-low voltage active rectifiers [16].

This article covers the use of porous silicon scaffolds for biofuel cells. The next section presents and compares different types of biofuel cells. Section III introduces the immobilization and electrodes configurations for energy harvesting. Section IV presents porous silicon technology. Section V discusses existing porous silicon fabrication techniques. Section IV details the fabrication process of the porous silicon scaffolds using XeF2.


The first enzyme based glucose/O2 fuel cell to generate electricity was introduced in 1964 by Yahiro et al., aiming at using this concept to power an artificial heart [17]. While the field of fuel cell research has flourished in various industrial and environmental arenas, biomedical applications started making use of the technology only after 2001, with recent successes in micro fuel cell technology [18-20]. The two most dominant classifications of fuel cells are enzymatic, illustrated in Fig. 1, and microbial, based on the catalyst used to oxidize or reduce the fuel used in the design [21]. While microbial catalysts offer more longevity to the fuel cell, microbial fuel cells require a barrier between the cathode and the anode and between the fuel cell and its surrounding


environment [22]. Such a design increases its size and decreases the current density since the fuel cell lacks direct contact with the fuel. Most importantly, when it comes to the use of microbial fuel cell for implantable devices, long term infections, thrombosis and other types of complications raise serious concerns [23, 24]. Therefore, it is natural that the use of microbial fuel cells was limited to few studies, one of them suggesting its use within the intestinal environment inside the transverse colon [25]. On the other hand, enzymatic fuel cells have lower stability and shorter lifespan because the longevity of enzymes is in the range of 10 days [26]. This has driven research in enzymatic fuel cells towards short term uses such as glucose sensors, post-op temperature measurement or as a power supply for pressure sensors indicating blockage of fluid flow in the nervous system [23]. However, since enzymes are selective in nature, the design of enzymatic fuel cells can be made into microscopic sizes without the need for a separating membrane to regulate the flow of the fluid and enzymes used in its design, thus achieving higher power densities due to the direct contact between the probes and the fuel [26]. Continuous attempts to increase the lifetime of the enzymes exist using immobilization techniques or using magnetic iron nanoparticles that shield the enzymes from getting oxidized or self-digested [27].

Figure 1. Illustration of an enzymatic biofuel cell using Glucose and Oxygen.

Another important factor in the design of the fuel cell is the target fuel. Although most implantable fuel cell studies have focused so far on the use of blood stream glucose, some studies have considered other alternatives such as the use of white blood cells based on their ability to generate electron current across their cellular membrane [28-30].

Most importantly, the complex environment inside the human body, such as the amount of glucose and oxygen available in addition to the neo-vascular build up that can hinder the exposure of the fuel cell to body fluids, represent important obstacles that any fuel cell design have to overcome in order for it to become a viable one [29]. Based on the first in-vivo study conducted by Cinquin et al., an

enzymatic fuel cell was built by adjusting the types of enzymes used in order to account for the specific PH, concentration, and the effect of urea presence on the fuel cell [31]. This was implanted inside the peritoneal cavity of a rat, and has proven to provide a stable power of more than 7.52 μW/mL for a period of three months [31].

Here, we are interested in increasing the efficiency of energy harvesting in enzymatic fuel cells by increasing the contact surface area between the harvesting probes and the surrounding fuel. This can be achieved by (1) using porous interface to provide a large surface to volume ratio and consequently lager area of contact with enzymes (2) increasing the area of electrodes collecting the resulting amount electrons by using an array of electrodes. Doped porous silicon represents a good candidate due to the fact that it combines both biocompatibility and electrical conductivity [32, 33].

III. IMMOBILIZATIONS AND ELECTRODES PLATFORM The proper functioning of an enzyme-based biofuel cell relies on both the chemical and physical properties of the immobilized enzyme layer. Physical and chemical methods can be used for immobilization of enzymes. Physical methods include: (1) Gel entrapment wherein enzymes are entrapped in a gel matrix, such as gelatine and polyacrylamide, as well as dialysis tubing [34]. (2) Adsorption where no additional reagents are required but only weak bonding involved between enzymes and electrode surface. Chemical methods are the main methods used for developing enzyme-based biofuel cells. The methods include covalent immobilization and immobilizing enzyme in polymer matrix.

Although enzymes are highly efficient catalysts they are difficult to incorporate into fuel cells. Low catalytic efficiency and stability of enzymes have been seen as barriers for the development of large-scale operations to compete with traditional chemical processes. This can be tackled with the use of nanostructured materials possessing large surface areas leading usually to high enzyme loading, resulting in improvement of power density of the biofuel cells.

Fig. 2 is the schematic representation of the novel enhanced porous silicon biofuel cell. It consists of an array of inter-digitized fingers made out of silicon covered by a layer of gold. The area between the inter-digitized fingers is made porous for entrapping and better immobilization of enzymes. The energy harvesting process is based on oxidation-reduction reactions taking place between the two arrays of inter-digitized fingers so that one array can be the anode and the second array can be cathode. Using microfabrication technology, it is possible to obtain identical anode and cathode electrodes. The enzymes get attached and immobilized between the two electrodes which in turn collect the resulting electrons and relay them to electronic circuit.


Figure 2. Schematic representation of the enhanced enzymatic biofuel cell.


Implantable biomedical devices built from bulk silicon have been available for biosensing and actuating applications for several years. However, this form of silicon is not biocompatible and so far this has prevented its use in vivo. Bulk silicon-based devices need coating or packaging in a biocompatible material, if they are to be used in and linked to living tissues [32, 33]. The majority of today's medical devices are coated with materials such as Polyvinylchloride (PVC), polypropylene, polycarbonate, fluorinated plastics and stainless steel. These materials are tolerated by the human body and are described as bioinert. An effective biomaterial, however, must bond to living tissue and is known as bioactive.

Nanostructured porous silicon (PS), whose particular texture can be described as a network of pores interconnected by solid nanocrystalline silicon, has properties that make it a very promising bioactive biomaterial [35, 36], in particular for devices that need to be linked to the biological system such as implantable devices [37]. Porous silicon material is useful and attractive for a wide variety of applications to develop biological sensors [37-39] and biomedical devices [40, 41]. This has significantly increased the interest in using porous silicon in biofuel cells.

An essential requirement for fabricating porous silicon in different applications is to have the ability to vary the size and configuration of the pores by choosing the appropriate fabrication parameters and conditions. For instance, for photonic bandgap filters, the pores are designed to the on the order of the wavelength of the light to retain and tune the

optical reflectivity of the porous silicon [42, 43]. For biological sample filters, the pore size has to be large enough to allow the desired biomolecules to be filtered and cross through the pores freely [44].


Many previous reports have shown that porous silicon can be prepared through a galvanostatic, chemical, or photochemical etching procedures in the presence of hydrofluoric (HF) acid solutions or through stain etching [45-47]. Other methods such as pulsed anodic etching [48] and magnetic-field assisted anodization [49] were also employed for porous silicon preparation. In these techniques, the pore characteristics such as diameter, geometric shape and direction of the pores not only depend on the composition of the etching solution, but they also depend on temperature, current density, crystal orientation, dopant and doping density of the silicon substrate [45, 47, 50]. Moreover, porous silicon produced on large surface areas along with high porosity and/or thickness leads to a systematic cracking of the layer during the evaporation of the etching solvent. The origin of the cracking is the large capillary stress associated with evaporation from the pores. During the evaporation process, a pressure drop occurs across the gas/liquid interface that forms inside the pores [51].

A. Gas-Based Etching Technique

Gas etching method provides a suitable solution for the usage of the wet etching methods [52]. Due to the use conventional integrated circuit technology, the wet etching methods are not compatible with the widespread use of gas cluster tools. Moreover, wet etching techniques generate large quantities of dangerous waste in the manufacturing environment.

A mixture of oxygen (O2) and nitrogen dioxide (NO2) gases are combined with hydrogen fluoride (HF) and water vapors to produce photo-luminescent porous silicon layers as depicted in Fig. 3. The processes that were taken into account in the selection of these gases could be represented by a combination of the following chemical reactions. Formation of nitric acid:

4NO2 + 2H2O + O2  HNO3

2NO2 + H2O  HNO2 + HNO3

3HNO2  HNO3 + 2NO + H2O

2NO + O2  2NO2

Oxidation of silicon:

4HNO3 + Si  SiO2 + 2H2O + 4NO2

Si + O2  SiO2

Etching of silicon dioxide:

SiO2 + 6HF  H2SiF6 + 2H2O

The gas etching technique consists of exposing silicon samples to a mixture of O2 and NO2 gases in addition to HF and water vapors.


Figure 3. Schematic of the gas etching setup[52]. The experimental details were listed as follow:

• Silicon samples were loaded onto a tray that was mounted at the bottom of a chamber.

• The chamber was sealed after installing a gas distribution plate which aims to improve the uniformity of the gas flow. Noted that the chamber, tray, and distribution plate were made of chemically inert Teflon.

• Pure oxygen (99.995%) was flown through a scrubber containing HF (47-51%). The HF chamber could be kept at room temperature or heated up to 70 ̊C.

• The scrubber HF merges with a flow of diluted nitrogen dioxide (2%) before entering the etching chamber. The NO2 cylinder was heated at its base to a temperature of 40 ̊C to avoid accumulation of nitrogen dioxide at its bottom and enhance the mixing of NO2 and air.

• The stainless steel tubing connection the NO2 cylinder to the chamber was heated to a temperature of 30 ̊C to avoid the condensation of NO2 on the tubing wall.

• The outlet of the chamber is connected to a scrubber containing sodium hydroxide (NaOH) solution which neutralizes the HF.

• The flow rates of O2 and NO2 could be varied by a flow-meter. The flow of O2 and NO2 varied between 10-50 ml/min.

• Samples are rinsed using ethyl alcohol (95%) • Substrates are dipped in ethyl alcohol for 5 minutes

and then removed.

• Substrates are left to dry in a high purity nitrogen environment (99.95%).

• Silicon samples were obtained from the dicing of boron-doped p-type wafers whose electrical resistivity was 20Ω.

• Samples were cleaned using RCA-type hydrogen peroxide mixtures, etched in a 5% HF solution for 2 minutes, rinsed in deionized water for 5 minutes, and then oxidized at room temperature in a SLM flow rate of ozone (O3) gas with the presence of nitrogen for 5 minutes.

• Note that is cleaning sequence allowed a stringent control of the sample surface, yielding a hydrophilic surface.

• At the end of oxidization step, samples were loaded in the chamber and etching was performed for a time of 30 minutes.

• The morphology of the porous layers was investigated by a scanning electron microscopy. And the photo-luminescence properties of the porous layers were investigated using a photo-detection system (Fluorescence, PDS).

B. Stain Etching Technique

The formation of porous silicon by the strain etching process was conducted on p-type and n-type silicon wafers having different doping concentrations. Different porosity gradients were conducted since strain etching is a wet etching method which attacks the pore wall.

Experimental Procedure:

• Porous silicon layers were prepared on p-type and n-type wafers with doping concentrations of 2 x 1015 atom/cm³.

• More layers were prepared on p+ type and n+ type with doping concentration of 5 x 1018 atom/cm³ • Noted that the doping materials could be boron or


• The solutions for strain etching contained concentrated hydrofluoric acid and nitric acid with ratios between 50:1 and 500:1 [53, 54].

• Two additives were added into the solution, sodium-nitrite with a concentration of between 0.1 and 0.6 g/l in order to reduce the incubation time on PSL formation [55] and a surface-active substance to ensure that the evolving bubbles do not stick to the silicon surface [56].

• The mass of dissolved Si was 1 x 10-4 g.

• The as-grown porous layer was characterized by spectroscopic ellipsometrical(SE) measurements at 75̊ nominal angle of incidence in the spectral range from 280 to 840 nm.

By means of the gravimetrical and the spectroscopic ellipsometrical measurements the formation process of stain-etched PSL reveals continuous dissolution of the top surface of the layer and simultaneous formation of porous Si at the porous-crystalline interface. As a result, the stain-etched PSLs have self-limiting thickness when n-type substrates or low doped p-type substrates are used. The structural and optical characterization proved the existence of a porosity gradient in the layers, which stems from the partial dissolution of the pore walls and the top surface during formation. The morphology of the final structure is characterized by a random pore propagation direction in the case of low doped p-type and low and highly doped n-type silicon.


C. Electro-Chemical Etching Technique [11]

Electro-chemical etching is simply presented by the ‘AMMT Porous Silicon Fabrication System’. This system is specifically designed for the fabrication of porous silicon using hydrofluoric acid as illustrated in Fig. 4. The user must wear appreciate safety gear and follow the safety guidelines set by the UCLA (University of California, Los Angeles) Nanolab using Hydrofluoric Acid.

The system contains:

1. Porous Silicon Bath (PSB): two chamber of HF-bath for porous silicon formation which are electrically isolated.

2. Waste Jug: located at the lower level of the PSB and is connected to the two HF drain valves.

3. Water Holders: two different water holders are available, one for the wafer and the other for the small samples.

4. Power Supply (Galvanostat): provide up to 24 A of electrical current.

5. Porous Silicon Galvanostat Software: Installed on the computer and enables the user to set the parameters and time etching.

6. Light source: 20 Watt halogen lamp located in front of the illumination windows.

Figure 4. Schematic schematically setup of anodic experiment.

Preparation Process:

1. Cleaning: water should be cleaned from any impurities to ensure optimal porous etching result. 2. HF Preparation: wear the complete safety gear and

check the drain valves.

3. Sample Mounting: mount the wafer in one of the wafer holders and place the wafer into the gap between the bayonet and the separator plate.

4. Electrode Positioning: place the electrodes in position with respect to the mounted wafer.

Noted that the electric contact of the electrode and the wafer is made through the HF electrolyte where no physical contact is required.

Fabrication Process:

1. Connect the PSB to the power supply.

2. Open the software and set the etching parameter. 3. To ensure illumination during etching, place the

lamp close to the side window.

4. Set the timer for the desired time of etching. 5. After etching is over, turn off the power supply.

D. Photo-Chemical Etching Technique

The anodization is an easy method by which to form a luminescence layer on single crystalline Si. There are many difficulties in forming porous silicon on silicon on insulator (SOI) structure or on multilayered integrated circuit, since the anodization method requires electrodes in electrolyte solutions and on the back surface of a Si wafer. This becomes an obstacle for the applications of the PS for visible luminescence layers. A photochemical etching method that requires no electrode to form a visible luminescence layer on a single crystalline Si wafer is studied [57, 58].

Fig. 5 illustrates the following experimental procedure: • An n-type (0.22-0.38 and 35-45 Ohm-cm) silicon

wafer (100) was set at the bottom of the vessel filled with an etchant.

• A mixture of hydrogen fluoride acid solution (HF) and hydrogen peroxide (H 2O 2) as an oxidant were used for the etchant.

• Noted that the etchant concentration varied with HF: H2O2 = 100:17 ~ 250 for volume ratio.

• The silicon wafer surface was irradiated by a He-Ne laser (633 nm, 18.4 mW /cm²) as a visible laser for 5-45 minutes in order to form photochemically etched silicon.

Figure 5. Schematic set up for a photochemical etching method [59].

The following reaction model of photochemical etching process of silicon atoms is depicted in Fig.6.

- He-Ne laser irradiation forms an electron-hole pair as a carrier in the Si substrate.

- H2O molecular attacks to the wafer surface. - Silicon atom is oxidized by H2O and holes.

Si + 2H2O + nh + SiO 2 + 4H + + (4 – n)e- h+: hole, e-: electron, n ≤ 4


1. The SiO2 region is solved by HF; therefore this means that a silicon atom is etched from the wafer. 2. H2O2 as an oxidant removes electrons left in the

substrate, and H2O2 molecular and H+ ions change into water molecules.

Figure 6. Schematic chemical reaction model of photochemical etching process of silicon atoms [58].

E. Chemical-Based Fabrication Technique

Porous silicon is usually fabricated under anodic polarization in an electrochemical cell. Another technique is introduced to form porous silicon without the use of any external source. Etching will occur by the formation of a galvanic cell, with the silicon acting as local anode and the metal as local cathode [60].

Experimental Procedures

1. Use of <100>-oriented n-type or p-type silicon with a resistivity of 2-5 Ω cm.

2. Etching of the sample with a dilute of HF solution with the use of some ethanol to prevent the formation of hydrogen bubbles.

3. Oxygen is the solution served as an oxidizing agent for the galvanic cell.

4. H2O2 may be added to increase the concentration of the oxidizing agent knowing that these agents are not reduced at the p-type silicon and do not cause the semiconductor to be etched chemically.

Two types of experiments could be performed.

Figure 7. Schematic set up of type 1 experiment [60].

The experiments of type 1, illustrated in Fig. 7, were performed with either a Si working electrode (WE) or a metal (M) WE. A potentiostat the potential of the working electrode was regulated with respect to a standard calomel electrode (SCE). The current was measured between the WE and the Point counter electrode (Pt).

1. POS703 Bank potentiostat resulted in the formation of the current-potential curves of silicon and metal electrodes in HF solution (scan rate of 1mv /s). 2. The potential is always cited with respect to the

standard calomel electrode (SCE) and the current is measured between a working electrode (WE) and a Point counter electrode (Pt).

3. The area of the silicon electrode was 0.5 cm² and the edges were protected from the solution by a HF resistant O-ring.

4. The galvanic cell formation is obtained when the Si electrode is connected in short circuit to the metal electrode.


Experiments of type 2, illustrated in Fig. 8, were performed with an Au electrode on chip, noted that the potentials or currents could not be measured. This experiment demonstrates the formation of porous silicon without external contacts.

- A silicon nitride etch mask was deposited on one side of the wafer.

- An inert metal electrode was formed on the other side of the wafer by evaporation a film of Au /Cu. - The metal /exposed silicon are ratio was typically


The main advantage of galvanic porous formation technique is that a special sample holder to contact the Si is not required. This makes the technique suitable for batch fabrication of porous silicon devices. The contact between the silicon sample and a layer of noble metal is mandatory. The etching rate may be controlled by the metal /Si area ration and the concentration of oxidizing agent in solution.

F. Pulsed Current Etching

This technique for porous silicon formation is based on pulsed current anodic etching. The technique offers the possibility of fabricating luminescence material with selective wavelength emission depending on cycle time (T) and pause time (Toff) of pulsed current during the etching process as depicted in Fig 9.

Pulse current anodization of porous silicon is applied by a sequence of current pulses. During the pause period of anodic current, H2 bubbles will desorb. Desorption of the H2 bubbles allows fresh HF species inside the pores to react with silicon wall that sustains the etching process at appreciable rate. This process will increase the thickness of the porous silicon layer thus, enhancing the porous layer intensity [61].

Experimental Procedures

- Porous silicon samples were prepared by

electrochemical etching of p-type silicon, boron doped, and 0.75-1.25 Ω cm wafers.

- The electrolytic cell is described in.

- Aluminum film was deposited on the back side of the samples to improve the uniformity of the anodic current.

- The electrolyte solution was a mixture of

hydrofluoric acid (HF 49%) and ethanol (95%), 1:4 by volume.

- Anodization process was carried out for 30 min for all samples.

- An output signal from a pulse current generator was used to feed the current through the anodic etching circuit.

Note that both the cycle time (T) and the pause time (T off) were adjusted.

Figure 9. Schematic diagram of wave form of the pulse current used in the etching process [62] .

The PS formation sequence according to the current burst model is given as follows:

- Direct dissolution of silicon. - Oxidization of silicon. - Silicon oxide is dissolved.

- A slow surface passivation by H2 starts at the clean surface.

To start the cycle again, each current burst has to overcome this H-passivation of the surface.

This process shows that there is significant freedom of choice available in peak spontaneous emission wavelength.

In this paper, we employ a novel and simple fabrication technique which employs Xenon Difluoride (XeF2)-based dry isotropic etching to selectively form porous silicon in bulk single crystal silicon wafers [63]. XeF2 is plasma-less etching technique and is based on the reaction of the fluorine ions, which represents the main etchant, with the solid silicon to produce – at room temperature – the volatile gas SiF4. In a XeF2-based etching process, a standard hard baked layer of photoresist can serve as a masking layer. In addition to its etching process simplicity, XeF2 has a high etch selectivity to silicon. It reacts readily with silicon, but is relatively inert to photoresistance, silicon dioxide, silicon nitride and aluminum, which allows this technique to be used in the presence of CMOS integrated circuits as a post processing step. This is not the case when HF-based etching is used, as this latter will etch or damage the circuitry without a very hard mask followed by complex post-processing to remove the mask.


We utilized XeF2 dry etching to create porous silicon surfaces on single crystalline silicon wafers. We used 3 inch diameter, 381± 20 μm thick <100> boron-doped (5–10 ohm cm) silicon wafers. The wafer was cut into 1.3 X 1.3 cm2 that were then loaded in the XeF2 etching chamber. The XeF2 etching process does not depend on the silicon crystal orientation or its dopant content.

The fabrication process is achieved in a sequence of steps. First, undissociated gaseous XeF2 is adsorbed onto the exposed areas of bulk silicon. The adsorbed gas is then dissociated into xenon and fluorine, after which the fluorine ions react with silicon to produce SiF4 gas. Dissociation of the gas phase at room temperature leaves behind a porous


silicon surface. In this process, increasing the etching process time increases the overall size of the pores and the thickness of the porous silicon film. The chemical reaction for the etching of silicon by XeF2 is: Si + 2XeF2  SiF4 + 2Xe. As a dry etching technique, there is no post-fabrication drying step required, thus reducing the risk of damage to the newly formed porous surface.

XeF2 leaves behind porous silicon surfaces on top of the remaining bulk silicon with porous silicon layer thickness on the order of several hundreds of nanometers (600 to 700 nm). The obtained porosity depends on the etching time. Fig. 10 shows a representative Scanning Electron Microscope image of porous silicon sample prepared using XeF2.

Figure 10. Scanning electron micrograph of a nanostructured porous silicon etched with XeF2.

VII. FABRICATION OF ENZYME ELECTRODES The fabrication process of the comb capacitor starts with dicing 3 inch 381+20-mm-thick <100> boron doped (5–10 ohm-cm) silicon wafer into small 3x3 cm squared pieces. Metal layers of titanium (adhesion layer, 500 nm thick) and gold (conducting layer, 750 nm thick) were deposited by sputtering on the silicon wafer. A 1.4 micron thick layer of photoresist is then spun on and photolithographically patterned to define the inter-digitized fingers. The gold and titanium are then wet etched, with 1:2:10 I2:KI:H2O and 20:1:1 H2O:HF:H2O2, respectively. Acetone was then used to remove the remaining photoresist thus exposing the gold layer covering the inter-digitized fingers. Fig. 11(a) is a scanning electron micrograph of the array of fingers. Fig. 11 (b) is a magnified view of the scanning electron microscope (SEM) picture of the network of pores fabricated selectively in between the silicon comb fingers covered with titanium-gold. Porous silicon layers with different porosities can be obtained by changing the etching recipes in the XeF2 system.


Nanostructured doped porous silicon is a promising material for Biofuel cells. It offers several advantages, including the use of silicon in microelectronics, biocompati-



Figure 11. Scanning electron micrographs (a) novel inter-digitized energy harvesting electrodes (b) magnified view of two fingers with the porous

area in between.

bility, and simplicity in tailoring porosity and conductivity. Dry etching of porous silicon using XeF2 allows, due to its compatibility with integrated circuits, allows an easy integration of porous silicon scaffolds with the microelectronic harvesting integrated circuit. Future work will focus on testing porous silicon samples in complete enzymatic fuel cell setup.


The current project is supported by the National Council for Scientific Research, Lebanon. The authors would like to acknowledge the assistance of the McGill’s Nanotools and Microfabrication Laboratory, Montreal, in preparing the porous silicon samples, and the Lebanese International University for logistic assistance.


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Design, Creativity and Human Computer Interaction Design Education

Alma L. Culén Department of Informatics University of Oslo Oslo, Norway Henry N. Mainsah Centre for Design Research School of Architecture and Design

Oslo, Norway Sisse Finken Department of Informatics University of Oslo Oslo, Norway

Abstract—In this paper, we investigate ways to engage computer science students, majoring in design, use, and interaction (with technology), in design practices through an advanced graduate course in interaction design. We take a closer look at how prior embodied and explicit knowledge of HCI that all of the students had before their enrollment in the course, combined with better understanding of design and design practice, and in particular the emergence of creativity on both individual and team levels, shapes them as human-computer interaction designers. We evaluate the results of the effort in terms of increase in creativity, novelty of ideas, body language when engaged in design activities, and in terms of perceptions of how well this course prepared the students for the work practice outside of the university, usually, in multidisciplinary settings.

Keywords—HCI education; interaction design; creativity; studio; design education; multidisciplinary teamwork.


There is an increased movement towards informing and embedding education practices from other disciplines into Human Computer Interaction (HCI). We have discussed in our paper [1] how design practice and design pedagogy may contribute to HCI education.

Many authors have stressed a need for considering new pedagogical approaches to HCI education that creatively synthesize HCI theory and methods with design thinking-in-action (see, for example, [2]–[5]). Faiola has argued for development of pedagogical models intended for teaching HCI that “provide students with knowledge domains that can account for understanding design, social context, and business strategies in addition to computing”, [6, p. 30].

Winograd and Klemmer, discussing the reasoning behind opening of the now famous at Stanford, an innovation hub with a core in human computer interaction design, state: “The basic premise of the is that students need two complementary kinds of training. The disciplinary training provided by conventional departments provides them with depth in the concepts and experience of a specific field. This gives them intellectual tools, but often misses the larger context of relevance and integration with other kinds of knowledge, which are required to innovate effectively in the ‘real world’”, [7, p. 1]. Such multidisciplinary and effective learning arenas are not easy to create. They represent innovative thinking and innovative

education, which has not yet been able to prove itself worthy over time. Thus, embedding innovative educations into traditional educational institutions is difficult. However, the evidence is there that the multidisciplinary approach, such as that of the, has its merits. In line with how Bannon argues why HCI needs to change in the 21st century [8], we argue that the HCI educations needs to change in order to accommodate for new technologies, new interaction forms, new practices, and new areas of research. One practice outside the traditional HCI field, which has a strong influence on changes taking place within HCI, is the design practice. Many scholars have explored the relation between HCI and design. Some of the notable results of these explorations are: a proposition to consider HCI as research through design, see [9]–[14], a proposition to consider Human Computer Interaction Design (HCID) as a radically interdisciplinary dialogue [15], convergent - divergent questioning [16], HCI design studio [17], models, theories and frameworks toward a multidisciplinary science [18].

Two of the authors, of this paper, work within department of informatics, teaching traditional HCI and qualitative research methods. The third author works at a traditional design institution, the school of architecture and design. Over the past few years, the two schools have cooperated and run a graduate course in interaction design together. The course took place at the school of architecture and students from both institutions worked on design projects in multidisciplinary teams. The cooperation recently came to an end, as the design school faculty felt that the differences in traditions and practices between the two schools were too far away from each other. This situation was the immediate motivator for exploring different venues and different approaches to teaching design practice and design thinking within the department of informatics.

In this paper, we present the teaching approach that we have chosen and the results of applying the design oriented practices, more specifically, design thinking and design pedagogy in the context of an advanced HCID course in the department of informatics. Our goal was not to educate designers, but to teach HCI students about design practice through direct experience and reflection. Similar approaches have been advocated by other scholars, e.g., [3][10][19]. Our approach differs from those also in that we really wanted to keep the multidisciplinary in focus. Our intention was to prepare HCID students for better collaboration and




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