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Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)

In recent years, limited research has been conducted on enhancing DNA hybridization-based biosensor approaches using statistical models. This study explores the application of response surface methodology (RSM) to improve the performance of a DNA hybridization biosensor for dengue virus (DENV) detec...

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Autores principales: Abdul Rashid, Jahwarhar Izuan, Yusof, Nor Azah, Abdullah, Jaafar, Shomiad @ Shueb, Rafidah Hanim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286818/
https://www.ncbi.nlm.nih.gov/pubmed/37362605
http://dx.doi.org/10.1039/d3ra00216k
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author Abdul Rashid, Jahwarhar Izuan
Yusof, Nor Azah
Abdullah, Jaafar
Shomiad @ Shueb, Rafidah Hanim
author_facet Abdul Rashid, Jahwarhar Izuan
Yusof, Nor Azah
Abdullah, Jaafar
Shomiad @ Shueb, Rafidah Hanim
author_sort Abdul Rashid, Jahwarhar Izuan
collection PubMed
description In recent years, limited research has been conducted on enhancing DNA hybridization-based biosensor approaches using statistical models. This study explores the application of response surface methodology (RSM) to improve the performance of a DNA hybridization biosensor for dengue virus (DENV) detection. The biosensor is based on silicon nanowires decorated with gold nanoparticles (SiNWs/AuNPs) and utilizes methylene blue as a redox indicator. The DNA hybridization process between the immobilized DNA probe and the target DENV gene was monitored using differential pulse voltammetry (DPV) based on the reduction of methylene blue. Fourier-transform infrared spectroscopy (FTIR) and electrochemical impedance spectroscopy (EIS) were employed to confirm successful DNA hybridization events on the modified screen-printed gold electrode (SPGE) surface. Several parameters, including pH buffer, NaCl concentration, temperature, and hybridization time, were simultaneously optimized, with NaCl concentration having the most significant impact on DNA hybridization events. This study enhances the understanding of the role of each parameter in influencing DNA hybridization detection in electrochemical biosensors. The optimized biosensor demonstrated the ability to detect complementary oligonucleotide and amplified DENV gene concentrations as low as 0.0891 ng µL(−1) (10 pM) and 2.8 ng µL(−1), respectively. The developed biosensor shows promise for rapid clinical diagnosis of dengue virus infection.
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spelling pubmed-102868182023-06-23 Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM) Abdul Rashid, Jahwarhar Izuan Yusof, Nor Azah Abdullah, Jaafar Shomiad @ Shueb, Rafidah Hanim RSC Adv Chemistry In recent years, limited research has been conducted on enhancing DNA hybridization-based biosensor approaches using statistical models. This study explores the application of response surface methodology (RSM) to improve the performance of a DNA hybridization biosensor for dengue virus (DENV) detection. The biosensor is based on silicon nanowires decorated with gold nanoparticles (SiNWs/AuNPs) and utilizes methylene blue as a redox indicator. The DNA hybridization process between the immobilized DNA probe and the target DENV gene was monitored using differential pulse voltammetry (DPV) based on the reduction of methylene blue. Fourier-transform infrared spectroscopy (FTIR) and electrochemical impedance spectroscopy (EIS) were employed to confirm successful DNA hybridization events on the modified screen-printed gold electrode (SPGE) surface. Several parameters, including pH buffer, NaCl concentration, temperature, and hybridization time, were simultaneously optimized, with NaCl concentration having the most significant impact on DNA hybridization events. This study enhances the understanding of the role of each parameter in influencing DNA hybridization detection in electrochemical biosensors. The optimized biosensor demonstrated the ability to detect complementary oligonucleotide and amplified DENV gene concentrations as low as 0.0891 ng µL(−1) (10 pM) and 2.8 ng µL(−1), respectively. The developed biosensor shows promise for rapid clinical diagnosis of dengue virus infection. The Royal Society of Chemistry 2023-06-16 /pmc/articles/PMC10286818/ /pubmed/37362605 http://dx.doi.org/10.1039/d3ra00216k Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Abdul Rashid, Jahwarhar Izuan
Yusof, Nor Azah
Abdullah, Jaafar
Shomiad @ Shueb, Rafidah Hanim
Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)
title Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)
title_full Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)
title_fullStr Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)
title_full_unstemmed Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)
title_short Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)
title_sort strategies in the optimization of dna hybridization conditions and its role in electrochemical detection of dengue virus (denv) using response surface methodology (rsm)
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286818/
https://www.ncbi.nlm.nih.gov/pubmed/37362605
http://dx.doi.org/10.1039/d3ra00216k
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