Muhammad Aqil, Hafizzan Nordin and Mohd Faizal, Jamlos and Siti Anis Dalila, Muhammad Zahir and Mas Ira Syafila, Mohd Hilmi Tan and Hajar Fauzan, Ahmad and Mohd Aminudin, Jamlos and Nor Husna, Mat Hussin (2023) Correlation of Near-Infrared (Nir) Spectroscopy with Water Quality Sensors to Detect Concentration of Saccharomyces Boulardii in Water. Social Science Research Network. ISSN 1556-5068. (Preprint)
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Correlation of Near-Infrared (Nir) Spectroscopy with Water Quality Sensors to Detect Concentration of Saccharomyces Boulardii in Water.pdf - Submitted Version Download (3MB) | Preview |
Abstract
Terahertz (THz) sensing of high sensitivity detection has given the possibility of a non-invasive method for measuring and monitoring microorganism from water resources. The purpose of this study is to analyse the effectiveness of Near-infrared (NIR) spectroscopy as a non-destructive and in-situ measurement-based method for detection of Saccharomyces boulardii (S. boulardii) in water. Samplings are prepared in biotechnology lab in Universiti Malaysia Pahang (UMP), a yeast species of S. boulardii is used as a model microorganism. A single colony of yeast was inoculated in liquid broth media and incubated for overnight culture. A standard serial dilution method was applied to prepare five samples at different yeast concentration in corresponding test tubes of 0%, 10%, 20%, 50% and 100%. A hand-held NIR spectroscopy with range from 900nm to 1700nm wavelength is deployed gapless to scan those test tubes through its optical window. Meanwhile another sample with similar concentrations are inoculated into volume 0.0071 m3 of water equipped with water quality sensor system for monitoring and analysis purpose. The findings show inoculation certain concentration of 10%, 20%, 50% and 100% of S. boulardii into the water generated certain level of NIR spectroscopy’s spectral absorbance of 0.723, 0.64, 0.357 and 0.121 correspondingly at 1067 nm wavelength. This proves NIR spectroscopy is a highly-sensitivity THz sensor at 1067 nm wavelength as absorbance is at the minimum level as S. boulardii concentration is at the maximum. This finding is further validated by Dissolved Oxygen (DO) sensor which demonstrates rising maximum of 8 ppm after an hour of S. boulardii’s inoculation compared to 4 ppm in a normal water. However, the DO level back to normal after 5 hours due to the acclimatization process of the yeast and demonstrate capability of DO sensor to detect presence of yeast in water. PCA and PLS analysis based NIR spectroscopy’s spectral absorbance also demonstrates ability to categorise severity of a microbial illness depending on its concentration. The results from this study has suggested that the NIR spectroscopy sensor as an excellent option for microbial sensing in water.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Saccharomyces boulardii; Near-infrared spectroscopy; Internet-of-Things (IoT) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Faculty/Division: | Faculty of Industrial Sciences And Technology Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Miss Amelia Binti Hasan |
| Date Deposited: | 13 Jul 2023 00:47 |
| Last Modified: | 13 Jul 2023 02:09 |
| URI: | http://umpir.ump.edu.my/id/eprint/38007 |
| Download Statistic: | View Download Statistics |
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