Anas Mohd Noor
Thumbnail Image
Preferred name
Anas Mohd Noor
Official Name
Anas, Mohd Noor
Alternative Name
Mohd Noor, Anas
Main Affiliation
Scopus Author ID
57190394249
Researcher ID
DVM-0848-2022

Research Output

Filters

4 2
17
Reset filters

Settings
Now showing 1 - 10 of 17
  • Publication
    Development of Real Time Arsenic Heavy Metal Concentration Monitoring System
    ( 2021-11-25)
    Asyraf Hakimi Abu Bakar
    ;
    Hilmi W.N.W.Q.W.
    ;
    Muhammad Nur Aiman Uda
    ;
    Nor Azizah Parmin
    ;
    Anas Mohd Noor
    ;
    Zulkarnay Zakaria
    ;
    Ahmad Nasrul Norali
    ;
    Fook C.Y.
    ;
    Rosly S.
    This paper focuses on the ongoing development of real-time monitoring system with implementing the Internet of Things (IoT) element for arsenic heavy metal concentration in paddy field using pH sensor for data collection. The pH sensor will detect the hydrogen ion concentration from the prepared soil put in pot contained with various arsenic concentration. The developed system is then compared with the pH sensor in the market to verify its accuracy and sensitivity. The collected data will be transferred wirelessly into data cloud so that it can store the previous and current reading data. Besides, the system’s function is also to ensure the safeness of paddy plant to be planted with knowing the right amount of arsenic concentration can be passed.
  • Publication
    Numerical Simulation of Transdermal Iontophoretic Drug Delivery System
    ( 2021-11-25)
    Anas Mohd Noor
    ;
    Zulkarnay Zakaria
    ;
    Shazlina Johari
    ;
    Norhayati Sabani
    ;
    Yufridin Wahab
    ;
    Manaf A.A.
    Transdermal Iontophoretic Drug Delivery System (TIDDS) is a non-invasive method of systemic drug delivery that involves by applying a drug formulation to the skin. The drug penetrates through the stratum corneum, epidermis and dermis layers. Once the drug reaches the dermal layer, it is available for systemic absorption via dermal microcirculation. However, clinical testing of new drug developed for the iontophoretic system is a long and complex process. Recently, most of those major pharmaceutical companies have attempted to consider computer-based bio-simulation strategies as a means of generating the data necessary to help make a better decision. In this work, we used computational modelling to investigate the TIDDS behaviour. Our interest is to study the efficacy of drug diffusion through transdermal delivery, including the thermal effect on the skin. We found that drug will be delivered more efficiently if the electrical potential and the position of electrodes are optimum. We analysed the drug diffusion time of the system using 1,3 and 5 mA DC source. In addition, we also modify the electrode distance from 10 mm to 30 mm long and analysed the effect of delivery time and d effect to the skin thermal. We conclude that, a high electrical current, as instance, a 5 mA DC, delivered the drug faster into the skin but increased the skin temperature because of skin joule heating effect. However, a 30 mm electrodes distance setting decreased the skin temperature significantly than the 10 mm distance with more than 9.7 °C under 5 mA DC and 60 minutes of operation. TIDDS enhanced drug delivery compared to oral consumption and might be suitable used for localizing treatments such as chronic disease. This work provides great potential and is useful to efficiently design of iontophoretic drug delivery system including new drugs delivery applications.
  • Publication
    Modelling and Simulation using Finite Element Method of Surface Acoustic Wave Biosensor for Gas Detection Application
    ( 2021-11-25)
    Anas Mohd Noor
    ;
    Ahmad Nasrul Norali
    ;
    Zulkarnay Zakaria
    ;
    Mazlee Mazalan
    ;
    Yufridin Wahab
    A surface acoustic wave (SAW) sensor detects changes in physical properties such as mass and density on its surface. Compared to other types of sensors, SAW sensor have a good stability, high selectivity and sensitivity, fast response, and low-cost. On the other hand, to design and optimize a SAW biosensor requires a long process including time and cost using conventional methods. Therefore, numerical simulation and computational modelling are useful and efficiently conduct analysis for the SAW biosensor. In this paper, a numerical simulation technique is used to analyse the SAW device sensitivity for the application of gas detection. The SAW biosensor can detect very small mass loading by changing its sensor resonance frequency. The two-dimensional (2D) device model is based on a two-port SAW resonator with a gas sensing layer. We made two design of SAW biosensor device with frequency of 872 MHz and 1.74 GHz. A gas with vary concentration from 1 to 100 ppm were used to determine the change of the device resonance frequency. As a result, the high frequency (1.74 GHz) device, shows that the resonance frequency is shifted larger than to the low frequency (872 MHz) device. In addition, the high frequency device offers five times more sensitivity than the low frequency device. By changing the sensor design, the sensor characteristics such as sensitivity can be altered to meet certain sensing requirements. Numerical simulation provides advantages for sensor optimization and useful for nearly representing the real condition.
  • Publication
    A comprehensive review of the recent developments in wearable Sweat-Sensing Devices
    ( 2022-10-01)
    Nur Fatin Adini Ibrahim
    ;
    Norhayati Sabani
    ;
    Shazlina Johari
    ;
    Asrulnizam Abd Manaf
    ;
    Asnida Abdul Wahab
    ;
    Zulkarnay Zakaria
    ;
    Anas Mohd Noor
    Sweat analysis offers non-invasive real-time on-body measurement for wearable sensors. However, there are still gaps in current developed sweat-sensing devices (SSDs) regarding the concerns of mixing fresh and old sweat and real-time measurement, which are the requirements to ensure accurate the measurement of wearable devices. This review paper discusses these limitations by aiding model designs, features, performance, and the device operation for exploring the SSDs used in different sweat collection tools, focusing on continuous and non-continuous flow sweat analysis. In addition, the paper also comprehensively presents various sweat biomarkers that have been explored by earlier works in order to broaden the use of non-invasive sweat samples in healthcare and related applications. This work also discusses the target analyte’s response mechanism for different sweat compositions, categories of sweat collection devices, and recent advances in SSDs regarding optimal design, functionality, and performance.
  • Publication
    Design and evaluation of Magnetic Induction Spectroscopy probe for pH measurement in fetal hypoxia using COMSOL Multiphysics Simulation
    ( 2022-01-01)
    Siti Fatimah Abdul Halim
    ;
    Zakaria M.H.
    ;
    Zulkarnay Zakaria
    ;
    Aiman Abdulrahman Ahmed
    ;
    Ahmad Nasrul Norali
    ;
    Anas Mohd Noor
    ;
    Jaysuman Bin Pusppanathan
    ;
    Mohd Hafiz Fazalul Rahiman
    ;
    Siti Zarina Mohd Muji
    ;
    Ruzairi Abdul Rahim
    Fetal Blood Sampling (FBS) is the term used to describe the current method of monitoring the foetal condition within the mother’s womb. FBS required the medical officer to make a small incision on the foetus’s head in order to collect blood for analysis of the blood pH level in order to prevent acidosis or foetal hypoxia. The FBS method, on the other hand, is invasive and increases the risk of infection for both mother and child. Magnetic Induction Spectroscopy (MIS) is a novel method for diagnosing the foetus’s pH level that is non-invasive and non-intrusive. A single channel MIS system is composed of a transmitter (TX), a receiver (RX), and an electrical circuit that generates and receives magnetic fields in response to the conductivity of the sample (blood) due to the presence of weak electrolytes (H+ and OH-). The purpose of this research is to develop and evaluate five different designs of TX-RX coils. The coils are designed using the Planar Zero Flow Coil (PZFC) concept, which allows for multiple coil configurations and input-output configurations. The results show that Design 2 open set model was the optimal coil design for MIS system probe, as well as some contributions to the pH evaluation process.
  • Publication
    Initial Results on Primary Field Cancellation of Magnetic Induction Spectroscopy Technique for Fetal Acidosis Detection using COMSOL Multiphysics
    ( 2021-11-25)
    Siti Fatimah Abdul Halim
    ;
    Mohd Hafiz Zakaria
    ;
    Zulkarnay Zakaria
    ;
    Ahmad Nasrul Norali
    ;
    Anas Mohd Noor
    ;
    Ahmed A.A.
    ;
    Pusppanathan J.
    ;
    Mohd Hafiz Fazalul Rahiman
    ;
    Muji S.Z.M.
    ;
    Rahim R.A.
    Monitoring of fetal condition during labor could save hundred lives in a single year. During labor, fetus is at critical condition as acidosis may occur suddenly without any early symptoms. Invasive method such as Fetal Blood Sampling (FBS) has been used to detect the decline in pH level of fetus. However, fetal loss rate after FBS may range from 1.4% up to 25%. In this paper, magnetic field induction spectroscopy was implemented to determine fetal acidosis by using primary magnetic field cancellation technique. Magnetic Induction Spectroscopy (MIS) probe was design where transmitter coil (TX) is perpendicular to receiver coil (RX). The result shows that the secondary magnetic field produced have been successfully measured without any interruption from primary magnetic field. By using transmitter input 1A, it shows that voltage is inversely proportional to the blood pH due to the conductivity properties of blood.
  • Publication
    Simulation of Single Channel Magnetic Induction Tomography for Meningitis Detection by Using COMSOL Multiphysics
    ( 2021-11-25)
    Aiman Abdulrahman Ahmed
    ;
    Zulkarnay Zakaria
    ;
    Ali M.H.
    ;
    Anas Mohd Noor
    ;
    Siti Fatimah Abdul Halim
    ;
    Ahmad Nasrul Norali
    ;
    Pusppanathan J.
    ;
    Rahim R.A.
    Meningitis is a inflammation of the meninges and the most common central nervous system (CNS) due to bacterial infection. Numbers of children who have bacterial meningitis are still high in recent 15 years regardless of the availability of newer antibiotics and preventive strategies. This research focuses on simulation using COMSOL Multiphysics on the design and development of magnetic induction tomography (MIT) system that emphasizes on a single channel rotatable of brain tissue imaging. The purpose of this simulation is to test the capability of the developed MIT system in detecting the change in conductivity and to identify the suitable transmitter-receiver pair and the optimum frequency based on phase shift measurement technique for detecting the conductivity property distribution of brain tissues. The obtained result verified that the performance of the square coil with 12 number of turns (5Tx-12Rx) with 10MHz frequency has been identified as the suitable transmitter-receiver pair and the optimum frequency for detecting the conductivity property distribution of brain tissues.
  • Publication
    Development of Real Time Arsenic Heavy Metal Concentration Monitoring System
    ( 2021-11-25)
    Asyraf Hakimi Abu Bakar
    ;
    Hilmi W.N.W.Q.W.
    ;
    Muhammad Nur Aiman Uda
    ;
    Nor Azizah Parmin
    ;
    Anas Mohd Noor
    ;
    Zulkarnay Zakaria
    ;
    Ahmad Nasrul Norali
    ;
    Chong Yen Fook
    ;
    Rosly S.
    This paper focuses on the ongoing development of real-time monitoring system with implementing the Internet of Things (IoT) element for arsenic heavy metal concentration in paddy field using pH sensor for data collection. The pH sensor will detect the hydrogen ion concentration from the prepared soil put in pot contained with various arsenic concentration. The developed system is then compared with the pH sensor in the market to verify its accuracy and sensitivity. The collected data will be transferred wirelessly into data cloud so that it can store the previous and current reading data. Besides, the system’s function is also to ensure the safeness of paddy plant to be planted with knowing the right amount of arsenic concentration can be passed.
  • Publication
    Intraocular MEMS Capacitive Pressure Sensor
    ( 2021-01-01)
    Anas Mohd Noor
    ;
    Zulkarnay Zakaria
    ;
    Norlaili Saad
    Microelectromechanical system (MEMS) sensors are suitable for measuring intraocular pressure (IOP). IOP measurement is useful for monitoring diseases such as glaucoma. The average pressure range for healthy persons is within 10–20 mmHg. A pressure beyond this range could damage the eye nerves and causes of blindness. Thus, a sensor for measuring the pressure should provide excellent accuracy and sensitivity. Intraocular capacitive pressure sensors are widely used in measurement of IOP. They offer high sensitivity and low noise, including invariance to temperature. Thus, the capacitive pressure sensor is performed better than other types of sensing methods. In this work, capacitive pressure sensors are designed and analyzed using FEM. The sensitivity and performance of a corrugated diaphragm, slot-type, square, and circular types of sensors designed are analyzed. Different shape of the sensor provides a different characteristic such as sensors pressure sensitivity, mechanical stress, and maximum deflection. As a result, corrugated diaphragm and slot-type sensors designed performs better than the flat diaphragm and non-slotted sensors designed. We show that four slotted non-corrugated square and circular designs have a high sensitivity, which is 0.157 mF higher than the eight slotted design. However, for corrugated design, eight slotted shows sensitivity is 0.147 mF higher and linearity analysis than four slotted sensor design. Circular shape design for eight slotted design, on the other hand, have 0.631 mF higher than the four slotted design. Corrugated design is more sensitive when a load is applied, while slotted design reduces the effect of residual stress and stiffness of the diaphragm. Thus, it is an advantage of using the FEM method for further analysis of sensor performance optimization.
  • Publication
    Electromyography Signal Pattern Recognition for Movement of Shoulder
    ( 2021-11-25)
    Ahmad Nasrul Norali
    ;
    Anas Mohd Noor
    ;
    Zulkarnay Zakaria
    ;
    Muhammad Asymawi Mohd Reffin
    ;
    Asyraf Hakimi Abu Bakar
    ;
    Chong Yen Fook
    Pectoralis major and deltoid are two muscles that are associated with the movement of the shoulder. Electromyography (EMG) signal acquired from these two muscles can be used to classify the movement of the shoulder based on pattern recognition. In this paper, an experiment for EMG data collection involves eight healthy male subjects who perform four shoulder movements which are flexion, extension, internal rotation and external rotation. Feature extraction of EMG data is done using root mean square (RMS), variance (VAR) and zero crossing (ZC). For pattern recognition, the classifiers that are used are Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA). Classification results shows highest accuracy on ZC feature using an SVM classifier with cubic kernel. The study on shoulder movement using EMG of pectoralis and deltoid muscles could be extended on arm amputees based on hypothesis that the EMG signal could be utilized for control of robotic prosthetic arm.