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12th International Conference on Physics and Its Applications, ICOPIA 2024

作者： Siswanto Qulub, Fitriyatul Junico, Vallery Ofelia Viannco Physics Program Study Faculty Science and Technology Universitas Airlangga Surabaya Indonesia Biomedical Engineering Program Study Faculty Science and Technology Universitas Airlangga Surabaya Indonesia

Cutaneous Lupus Erythematosus (CLE) is a form of lupus that affects the skin and is highly sensitive to ultraviolet (UV) light. UV-B. in particular. can trigger inflammation and apoptosis in CLE patients. making a sunscreen with effective UVB protection crucial. This study evaluates the effectiveness of zinc oxide (ZnO) and titanium dioxide (TiO2) nanoparticles in sunscreen. ZnO and TiO2 nanoparticles were prepared using the High Energy Milling method. resulting in particle sizes of 7.77 nm and 4.44 nm. respectively. The creams containing these nanoparticles were tested for physical stability and UV protection. Results showed that the creams were physically stable and provided good UV protection. with ZnO and TiO2 nanoparticles making up 12.60% of the total cream ingredients. resulting in the highest SPF (Sun Protection Factor) value of 62.0 ± 1.37. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： TiO2 nanoparticles

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Variable Length Multi-Objective Whale Optimization for Trust Aware Data Gathering in Wireless Sensor Network

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IEEE Access 2025年 13卷 32100-32121页

作者： Saad, Mohammed Ayad Jaafar, Rosmina Chellappan, Kalaivani Faculty of Engineering and Built Environment Department of Electrical Electronics and System Engineering Selangor Bangi43600 Malaysia Al-Kitab University Department of Medical Instrumentations Technique Engineering Kirkuk36001 Iraq Universitas Airlangga Biomedical Engineering Study Program Faculty of Science and Technology Surabaya60115 Indonesia

Efficient data collection in wireless sensor networks (WSNs) is crucial. While traditional approaches rely on stationary data sinks, the use of mobile sinks, like unmanned aerial vehicles (UAVs), has shown promise in enhancing data-gathering capabilities. However, existing methods often overlook the importance of trust, leaving the network susceptible to malicious or faulty nodes. To address this issue, we propose a novel trust-aware data-gathering algorithm, Variable Length Multi-Objective Whale Optimization Data Gathering (VLMOWO-DG). Our algorithm simultaneously optimizes energy consumption, delay, and trust while employing mobile sinks to collect data from sensor nodes. By considering trust as a key performance metric, we improve data reliability and security. The VLMOWO-DG algorithm introduces flexibility through variable-length solution representation and application-oriented operators, allowing for efficient exploration of the solution space. Simulation results demonstrate that our proposed algorithm significantly outperforms established benchmarks, NSGA-II and NSGA-III, in terms of domination and hypervolume. This leads to a remarkable improvement of 200% in data gathering performance. © 2015 The Authors.

关键词： Data collection

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Blood Leakage Detection System in Hemodialysis Machine Filtration Process

Blood Leakage Detection System in Hemodialysis Machine Filtr...

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2022 International Conference on Computer engineering, Network and Intelligent Multimedia, CENIM 2022

作者： Damaringrat, Mohammad Maulana Nuh, Mohammad Fatoni, Muhammad Hilman Sardjono, Tri Arief Biomedical Engineering Study Program Surabaya Indonesia

ISBN: (纸本)9781665476508

Chronic kidney disease worldwide is currently on the rise and is a serious health problem. One of the important components that must be monitored is the Blood Leak Detector (BLD). In hemodialysis machines, BLD has an important role to protect patients from blood loss and unsterile dialysate infusion due to rupture of the dialyser membrane. In this study, a detection system was designed that aims to detect blood leakage using a turbidity sensor and a TCS3200 color sensor. The detection method in this system uses a fuzzy logic system with RGB input from the TCS3200 color sensor which will be uploaded to the microcontroller and the turbidity sensor will detect the amount of blood that is leaking. After testing, the BLD instrumentation system has 100% succeeded in detecting blood leakage with a minimum blood leakage of 1.5 mL. © 2022 IEEE.

关键词： Color

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Smartphone-Integrated Reverse Lens Hemocount Microscope for Red Blood Cell Imaging

Smartphone-Integrated Reverse Lens Hemocount Microscope for ...

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2023 International Conference on Electrical engineering and Informatics, ICEEI 2023

作者： Izzrufi, Mochammad Izzrul Zakaria, Hasballah Bandung Institute of Technology Biomedical Engineering Study Program Bandung Indonesia

ISBN: (纸本)9798350381290

Anemia, a prevalent global medical condition affecting approximately 33% of the world's population in 2015 and 32% of Indonesian adolescents in 2018, is characterized by a reduction in red blood cell count or hemoglobin levels, resulting in diminished oxygen-carrying capacity within the bloodstream. The conventional method for detecting anemia involves Complete Blood Count (CBC), which demands specialized hematology analyzers and substantial time. In response to these constraints, the Hemocount, a portable microscope utilizing the reverse lens technique, was developed to capture high-quality images of red blood cells. This innovative approach requires blood sample standardization for optimal Hemocount performance. The technique involves inverting the mobile camera lens, aligning the sensor focus with the sample, while a preparation table and light source illuminate from below. Experiments with various lens, table, and light source configurations identified the optimal setup as employing the front camera lens from an iPhone 5s, a transparent table, and a cool white light source, yielding a digital image resolution of 42.19 nm/px. This resolution allows for blood cell detection within the size range of 165.92 px to 189.62 px. For optimal results when using Hemocount, a recommended blood concentration of 50% minimizes standard deviation, while concentrations of 30% maximize the correlation coefficient R, and 25% yield clear images by preventing red blood cell enlargement due to osmosis. © 2023 IEEE.

关键词： Light sources

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Physical Characterization of Injectable Bone Substitute Associated-3D Printed Bone Scaffold for Spinal Tuberculosis

Physical Characterization of Injectable Bone Substitute Asso...

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Mathematics, Informatics, Science and Education International Conference 2019, MISEIC 2019

作者： Wardhani, I.F. Samudra, R.M.R. Katherine Hikmawati, D. Aminatun Biomedical Engineering Study Program Universitas Airlangga Indonesia Physics Department Universitas Airlangga Indonesia

There are two important factors to overcome spinal tuberculosis, i.e. killing and preventing the Mycobacterium tuberculosis to spread, also replacing and reconstructing the damaged bone. This study focused on an innovation to overcome the spinal tuberculosis problem by combining the IBS and 3D printed bone scaffold. This innovation could provide a local drug delivery system along with tissue regeneration and bone reconstruction. In this study, 3D printed bone scaffold which have been injected with IBS were tested its physical characterizations. The bone scaffold was fabricated from Polylactide acid (PLA) filament using FDM method through an ordinary commercial 3D printer. The IBS was synthesized from nanohydroxyapatite, gelatin, streptomycin, and HPMC. The physical characterization performed in this study were porosity test functional group test, and degradation test. From those characterizations, it could be concluded that the IBS associated-3D printed bone scaffold is a potential alternative to overcome spinal tuberculosis. © Published under licence by IOP Publishing Ltd.

关键词： Tissue regeneration

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Application of artificial neural network for type 2 diabetes mellitus detection using buccal cell images

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Journal of International Dental and Medical Research 2017年第2期10卷 253-259页

作者： Wardhani, Priyanka Kusuma Widiyanti, Prihartini Arisgraha, Franky Chandra Satria Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Indonesia Institute of Tropical Disease Universitas Airlangga Indonesia

Diabetes mellitus (DM) is metabolic disease causing hyperglicemia due to insulin action anomali. DM can cause cellular changes, including buccal cell. Blood tests are used to diagnosis diabetes, so non-invasive test is required for diagnosis of diabetes. Accordingly, this research aims to design non-invasive system based on artificial neural network for type 2 DM detection using buccal cell images. Buccal cells smears were obtained from 30 subjects suffering from type 2 DM and 30 normal subjects. The smears were stained by using Papanicolaou method. Each slide were observed under digital microscope and were evaluated. The system was designed by using MATLAB with image processing and Probabilistic Neural Network (PNN) algorithm to classify features. Buccal cell images were segmented to get features. The features used in this study were nucleus area, nucleus perimeter and nucleus circularity. Nucleus areas and perimeters in type 2 DM group were higher than those in control group with similar nucleus roundness in both groups. Forty nucleus feature datasets were used for training process, while 20 nucleus feature datasets were used for testing process. The optimal PNN value was 0.4 g constant. The optimal accuracy of training was 92.5%, while the optimal accuracy of testing was 90%.

关键词： Artificial neural network Buccal cell images Type 2 diabetes mellitus

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Synthesis and characterization biocomposite collagen-chitosan- glycerol as scaffold for gingival recession therapy

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Journal of International Dental and Medical Research 2017年第1期10卷 118-122页

作者： Rosdiani, Azizah Fresia Widiyanti, Prihartini Rudyarjo, Djoni Izak Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Indonesia Institute of Tropical Disease Universitas Airlangga Indonesia Physics Study Program Faculty of Science and Technology Universitas Airlangga Indonesia

Gingivitis is considered high prevalence since nearly 75-90% of the world population suffers gingivitis in moderate category. The development of biomaterial in dentistry is divided into synthetic biomaterial and tissue engineering biomaterial includes scaffold engineering. Scaffold biomaterial engineering technique includes the development of tissue engineering and cell. The aim of this study is to determine the best compositions of collagen-chitosan scaffold by adding glycerol, marked by its mechanic characteristic. The synthesis process of the collagen-chitosan-glycerol scaffold is by freeze-dry method to form pores in the scaffold. The characterization of the synthesis was conducted through morphology test, tensile test, toxicity test, swelling test, and biodegradation test. Morphology test results in 50.89 - 143.5 μm pore size and thickness value of 412.0 - 514.9 mm which are appropriate for periodontal applications, especially gingivitis. The tensile test result is 0.46 MPa - 2.36 MPa and the highest value was seen on the variation of 0.46 with 2.36 MPa tensile strength value which is close to the value of UTS for periodontal. While the swelling test results in 1354.04 - 413.9%. Based on the characterization results in this study, the collagen-chitosan scaffold with the addition of glycerol is a potent periodontal scaffold candidate, especially gingivitis.

关键词： Chitosan Collagen Gingivitis Glycerol Scaffold

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Citric acid-polyurethane-chitosan-based innovative biocomposites as candidates of antibacterial dialyzer membrane

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Journal of International Dental and Medical Research 2018年第2期11卷 718-722页

作者： Santoso, Evlyn Anggraini Widiyanti, Prihartini Nabilla, Fathania Rahayu, Novita Putri Rahmania, Adita Wardani Department of Biomedical Engineering Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia Biomedical Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia

Hemodialysis treatment is a replacement therapy renal function. Hemodialysis therapy with reuse system causes a risk of bacterial infection. In addition, routine vascular access by hemodialysis patients also factors of bacterial contamination which can increase the comorbidity and mortality rates of patients. This research aims to obtain biocompatibility and antibacterial properties by adding concentration chitosan in three variations. The functional group test showed the presence of a bond between PU-CA-PES-CS at a certain wavelength. SEM test proved that the pores produced on dialyzer membrane are still within the size range for the hemodialysis application at 0.001-0.1 μm. Hemolysis test results showed that the percentage of hemolysis in Sample A, Sample B, Sample C, and Sample D were 4.18%, 3.34%, 2.30% and 1.67% respectively. The percentage of hemolysis at less 5% is safe for contact with blood. Antibacterial test results revealed that PES-PU-CA membrane samples coated with chitosan variation are antibacterial. It can be seen from the formation of clear zone around the sample disc with diameter of 6,946-11,086 mm. PES-PU-CA dialyzer membrane coated with chitosan is a safe composite and potentially applicable as an antibacterial dialyzer membrane based on functional group test, antibacterial test, hemolysis assay, SEM, and cytotoxicity test. © 2018 University of Dicle.

关键词： Antibacterial Chitosan Membrane dialyzer Polyethersulfone Polyurethane

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Tailored Mesoporous Silica Nanoparticles and the Chick Chorioallantoic Membrane: A Promising Strategy and Model for Efficient Blood-Brain Barrier Crossing

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ACS Applied Materials and Interfaces 2025年 2025 May 6页

作者： Lin, Cong-Kai Yang, Yi-Shan Liu, Tsang-Pai Lin, Jiunn-Chang Bupphathong, Sasinan Tamanoi, Fuyuhiko Chen, Yi-Ping Graduate Institute of Biomedical Materials Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan Department of Neurosurgery Taipei Medical University Hospital Taipei110 Taiwan Department of Surgery MacKay Memorial Hospital Taipei104 Taiwan MacKay Junior College of Medicine Nursing and Management New Taipei252 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan Institute for Integrated Cell-Material Sciences Institute for Advanced Study Kyoto University Kyoto606-8501 Japan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan

Crossing the blood-brain barrier (BBB) remains a major challenge for brain-targeted drug delivery. Mesoporous silica nanoparticles (MSNs) with tunable size and surface properties are promising vehicles for crossing the BBB. In this study, we explored the potential applications of the chick chorioallantoic membrane (CAM) model in combination with nanotherapeutics. We synthesized ∼25 nm MSNs and RITC-conjugated MSNs (RMSNs) with short PEG chains and varying amounts of positively charged molecules, specifically tertiary amine (polyethylenimine, PEI) or quaternary amine (trimethylammonium, TA), to investigate the positive charge effects on BBB penetration. Strongly positively charged TA-modified RMSNs (s-RMSN@PEG/TA, where s denotes strongly positively charged) effectively crossed the chick embryo BBB, whereas PEI-modified RMSNs did not. Although the weakly positively charged formulation (w-MSN@PEG/TA, where w denotes weakly positively charged) exhibited higher Dox loading capacity and a faster release rate, s-MSN@PEG/TA demonstrated superior BBB penetration and drug permeability. Consistent with chick CAM results, RMSN@PEG/TA also penetrated the BBB in mice. Long-chain PEG-modified RMSN@PEG/TA (RMSN@PEG(L)/TA, where L denotes long-chain PEG) showed reduced BBB penetration due to steric hindrance, possibly shielding TA molecules. This study highlights the effectiveness of optimizing short PEG chain density and TA modification for MSN-based BBB crossing without additional biological ligands. Furthermore, the chick CAM model proves to be a valuable alternative to mouse models for assessing BBB crossing of nanoparticles, offering significant research opportunities. © 2025 The Authors. Published by American Chemical Society.

关键词： Controlled drug delivery

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Spatial Selection Configuration on EEG Stroke Signal 1

Spatial Selection Configuration on EEG Stroke Signal

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1st International Conference on Information System and Information Technology, ICISIT 2022

作者： Firdaus, Fulki Hapsari, Anggit Fauzi, Hilman Shapiai, Ibrahim Fuadah, Yunendah Telkom University Telecommunication Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Telkom University Biomedical Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Electrical System Engineering Kuala Lumpur Malaysia

ISBN: (数字)9781665402002

ISBN: (纸本)9781665402002

Stroke is one of the cerebrovascular health disorders caused by a blockage of blood flow to the brain. Data from South East Asian Medical Information Center (SEAMIC) explain that the most significant stroke mortality occurred in Indonesia, Philippines, Singapore, Brunei, Malaysia, and Thailand. There are several methods for diagnosing stroke, one of which is an electroencephalograph (EEG). EEG is one of the more widely used BCI methods due to its lower price, portability, ease of use, and high temporal resolution than other methods. Most EEG require signals from various places on the scalp to achieve good performance. However, using a large number of channels can degrade signal performance in the EEG. Spatial selection can be used for channel selection in the EEG stroke signal which can then be useful for evaluation of stroke therapy. Therefore, this study will select the optimized channel using the spatial selection method to see which channels are relevant to the EEG stroke signal. Also, using the Power Spectral Density extraction feature and Extreme Learning Machine classification. The L2-norm energy calculation method gets better results than other methods. This method can also select the active channel relevant to the stroke EEG signal. The results show that the spatial selection method can increase accuracy by 15 percent and optimize the system with 37.5 percent channel reductions. © 2022 IEEE.

关键词： Learning systems

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