Augmented reality application to improve remedial student’s learning performance
A high concentration of uric acid in human blood will form a crystal that accumulates in the joints and causes inflammation and severe pain to the patient. In literature, the direct detection spectroscopy technique has been employed in uric acid detection due to its eco-friendly and rapid respons...
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my-uthm-ep.82492023-02-07T03:36:36Z Augmented reality application to improve remedial student’s learning performance 2022-08 Ayub, Afiq Azim T Technology (General) A high concentration of uric acid in human blood will form a crystal that accumulates in the joints and causes inflammation and severe pain to the patient. In literature, the direct detection spectroscopy technique has been employed in uric acid detection due to its eco-friendly and rapid response features. Despite these advantages, the linearity range obtained is very limited. Therefore, to enhance the linearity range, a direct detection-based spectroscopy method in the visible light spectrum is proposed in this work. The enhancement is attributed to the relatively low molar attenuation coefficient in the visible light spectrum. This work analyzed the detection of uric acid in the visible spectrum utilizing a halogen lamp as a light source. The uric acid stock solution in this project was prepared by diluting the uric acid powder in deionized (DI) water. Then, 2, 4, 6, 8, and 10 mg/dL sample solutions were produced by diluting the stock solution based on molarity formulation. These samples were then transferred into a sample compartment for the measuring process. In measuring the samples, the output intensity spectrum was monitored as the concentration varies from 2 to 10 mg/dL. The linearity range, linearity, sensitivity, limit of detection (LoD), stability precision, and relative standard deviation (RSD) of the developed spectrophotometer were studied. The sensor performance at sample wavelengths of 600nm, 650nm, 700nm, 750nm, 800nm, 850nm, and 900nm was analyzed. The highest spectrophotometer sensitivity of 0.0515 (mg/dL)-1 was achieved at 700nm wavelength. However, this sample wavelength has a low linearity value, which is about 91%. As for the linearity performance, the best linearity was achieved at 850nm wavelength with 98% linearity value. All the sample wavelengths exhibited more than 99% precision with less than 1% RSD for 300 seconds measurement duration, which indicates a highly stable detection and good reproducibility. The selectivity of the optimal operating wavelength offers comparable linearity and sensitivity performances of the developed spectrophotometer with rapid detection and high stability performances. 2022-08 Thesis http://eprints.uthm.edu.my/8249/ http://eprints.uthm.edu.my/8249/1/24p%20AFIQ%20AZIM%20AYUB.pdf text en public http://eprints.uthm.edu.my/8249/2/AFIQ%20AZIM%20AYUB%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8249/3/AFIQ%20AZIM%20AYUB%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik |
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T Technology (General) Ayub, Afiq Azim Augmented reality application to improve remedial student’s learning performance |
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A high concentration of uric acid in human blood will form a crystal that accumulates
in the joints and causes inflammation and severe pain to the patient. In literature, the
direct detection spectroscopy technique has been employed in uric acid detection due
to its eco-friendly and rapid response features. Despite these advantages, the linearity
range obtained is very limited. Therefore, to enhance the linearity range, a direct
detection-based spectroscopy method in the visible light spectrum is proposed in this
work. The enhancement is attributed to the relatively low molar attenuation coefficient
in the visible light spectrum. This work analyzed the detection of uric acid in the visible
spectrum utilizing a halogen lamp as a light source. The uric acid stock solution in this
project was prepared by diluting the uric acid powder in deionized (DI) water. Then,
2, 4, 6, 8, and 10 mg/dL sample solutions were produced by diluting the stock solution
based on molarity formulation. These samples were then transferred into a sample
compartment for the measuring process. In measuring the samples, the output intensity
spectrum was monitored as the concentration varies from 2 to 10 mg/dL. The linearity
range, linearity, sensitivity, limit of detection (LoD), stability precision, and relative
standard deviation (RSD) of the developed spectrophotometer were studied. The
sensor performance at sample wavelengths of 600nm, 650nm, 700nm, 750nm, 800nm,
850nm, and 900nm was analyzed. The highest spectrophotometer sensitivity of 0.0515
(mg/dL)-1 was achieved at 700nm wavelength. However, this sample wavelength has
a low linearity value, which is about 91%. As for the linearity performance, the best
linearity was achieved at 850nm wavelength with 98% linearity value. All the sample
wavelengths exhibited more than 99% precision with less than 1% RSD for 300
seconds measurement duration, which indicates a highly stable detection and good
reproducibility. The selectivity of the optimal operating wavelength offers comparable
linearity and sensitivity performances of the developed spectrophotometer with rapid
detection and high stability performances. |
format |
Thesis |
qualification_name |
Master of Philosophy (M.Phil.) |
qualification_level |
Master's degree |
author |
Ayub, Afiq Azim |
author_facet |
Ayub, Afiq Azim |
author_sort |
Ayub, Afiq Azim |
title |
Augmented reality application to improve remedial student’s learning performance |
title_short |
Augmented reality application to improve remedial student’s learning performance |
title_full |
Augmented reality application to improve remedial student’s learning performance |
title_fullStr |
Augmented reality application to improve remedial student’s learning performance |
title_full_unstemmed |
Augmented reality application to improve remedial student’s learning performance |
title_sort |
augmented reality application to improve remedial student’s learning performance |
granting_institution |
Universiti Tun Hussein Onn Malaysia |
granting_department |
Fakulti Kejuruteraan Elektrik dan Elektronik |
publishDate |
2022 |
url |
http://eprints.uthm.edu.my/8249/1/24p%20AFIQ%20AZIM%20AYUB.pdf http://eprints.uthm.edu.my/8249/2/AFIQ%20AZIM%20AYUB%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8249/3/AFIQ%20AZIM%20AYUB%20WATERMARK.pdf |
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