Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit
Dengue infection detection methods, namely dengue serology test and RealTime PCR, are only available in clinical laboratories or healthcare facilities. This is timeconsuming and inconvenient for patients. Thus, a non-invasive on-site urinary diagnostic kit for dengue infection that requires no trai...
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my.iium.irep.1133032024-08-07T08:29:16Z http://irep.iium.edu.my/113303/ Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit Amid, Azura Abdullah Sani, Muhamad Shirwan Abdullah, Aszrin Mohamed Bakrim, Norbaiyah Wan Omar, Wan Fatein Nabeila Zakaria, Nurul Aulia Abdullah, Nor Zamzila Nik Ahmad, Nik Nur Fatnoon QD Chemistry Dengue infection detection methods, namely dengue serology test and RealTime PCR, are only available in clinical laboratories or healthcare facilities. This is timeconsuming and inconvenient for patients. Thus, a non-invasive on-site urinary diagnostic kit for dengue infection that requires no trained personnel for blood extraction would be advantageous and warranted, albeit in developed or underdeveloped nations with limited resources. To develop the on-site diagnostic kit, an identification of biomarkers related to dengue infection is needed. This preliminary study aims to identify potential metabolite biomarkers from the urine of dengue patients using GCMS analysis. Urine samples of patients with serologically confirmed dengue infection were analyzed and compared with healthy volunteers. The study shows that the GCMS approach can identify differences in the urine of dengue patients from healthy volunteers. Heptacosane, Hexadecane, 2,4- bis(1,1dimethylethyl) phenol, 2-bromooctane, tetradecane, hexyl octyl ester sulfurous acid, 2benzoyl methyl ester benzoic acid, 2,9-dimethyl decane, and pentadecane were identified from the urine of dengue patients. The identified secretion of alkane may be a suitable candidate for colorimetric assay for the development of a user-friendly, home-screening rapid test kit for the detection of dengue infection. IIUM Press 2024-07-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/113303/13/113303_Biomarker%20identification%20from%20urine.pdf application/pdf en http://irep.iium.edu.my/113303/19/113303_Biomarker%20identification%20from%20urine_Scopus.pdf Amid, Azura and Abdullah Sani, Muhamad Shirwan and Abdullah, Aszrin and Mohamed Bakrim, Norbaiyah and Wan Omar, Wan Fatein Nabeila and Zakaria, Nurul Aulia and Abdullah, Nor Zamzila and Nik Ahmad, Nik Nur Fatnoon (2024) Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit. IIUM Engineering Journal, 25 (2). pp. 1-16. ISSN 1511-788X E-ISSN 2289-7860 https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2785 https://doi.org/10.31436/iiumej.v25i2.2785 |
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QD Chemistry Amid, Azura Abdullah Sani, Muhamad Shirwan Abdullah, Aszrin Mohamed Bakrim, Norbaiyah Wan Omar, Wan Fatein Nabeila Zakaria, Nurul Aulia Abdullah, Nor Zamzila Nik Ahmad, Nik Nur Fatnoon Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit |
description |
Dengue infection detection methods, namely dengue serology test and RealTime PCR, are only available in clinical laboratories or healthcare facilities. This is timeconsuming and inconvenient for patients. Thus, a non-invasive on-site urinary diagnostic kit
for dengue infection that requires no trained personnel for blood extraction would be
advantageous and warranted, albeit in developed or underdeveloped nations with limited
resources. To develop the on-site diagnostic kit, an identification of biomarkers related to
dengue infection is needed. This preliminary study aims to identify potential metabolite
biomarkers from the urine of dengue patients using GCMS analysis. Urine samples of patients
with serologically confirmed dengue infection were analyzed and compared with healthy
volunteers. The study shows that the GCMS approach can identify differences in the urine of
dengue patients from healthy volunteers. Heptacosane, Hexadecane, 2,4-
bis(1,1dimethylethyl) phenol, 2-bromooctane, tetradecane, hexyl octyl ester sulfurous acid,
2benzoyl methyl ester benzoic acid, 2,9-dimethyl decane, and pentadecane were identified
from the urine of dengue patients. The identified secretion of alkane may be a suitable
candidate for colorimetric assay for the development of a user-friendly, home-screening rapid
test kit for the detection of dengue infection. |
format |
Article |
author |
Amid, Azura Abdullah Sani, Muhamad Shirwan Abdullah, Aszrin Mohamed Bakrim, Norbaiyah Wan Omar, Wan Fatein Nabeila Zakaria, Nurul Aulia Abdullah, Nor Zamzila Nik Ahmad, Nik Nur Fatnoon |
author_facet |
Amid, Azura Abdullah Sani, Muhamad Shirwan Abdullah, Aszrin Mohamed Bakrim, Norbaiyah Wan Omar, Wan Fatein Nabeila Zakaria, Nurul Aulia Abdullah, Nor Zamzila Nik Ahmad, Nik Nur Fatnoon |
author_sort |
Amid, Azura |
title |
Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit |
title_short |
Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit |
title_full |
Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit |
title_fullStr |
Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit |
title_full_unstemmed |
Biomarker identification from urine of dengue patients through GCMS for initial development of non-invasive diagnostic kit |
title_sort |
biomarker identification from urine of dengue patients through gcms for initial development of non-invasive diagnostic kit |
publisher |
IIUM Press |
publishDate |
2024 |
url |
http://irep.iium.edu.my/113303/13/113303_Biomarker%20identification%20from%20urine.pdf http://irep.iium.edu.my/113303/19/113303_Biomarker%20identification%20from%20urine_Scopus.pdf http://irep.iium.edu.my/113303/ https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2785 https://doi.org/10.31436/iiumej.v25i2.2785 |
_version_ |
1807048412119433216 |
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13.211869 |