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P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet

POSTER SESSION 3, SEPTEMBER 23, 2022, 12:30 PM - 1:30 PM: The timely diagnosis of fungal infections is of prime importance for prescribing appropriate anti-fungal drugs. Current methods for fungal diagnosis involve culture-based methods, antibody-based detection using lateral flow assays and RT-PCR....

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Autores principales: Gajjar, Devarshi, Baghel, Manoj Kumar, Thakkar, Harshil, Thakore, Sonal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515870/
http://dx.doi.org/10.1093/mmy/myac072.P420
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author Gajjar, Devarshi
Baghel, Manoj Kumar
Thakkar, Harshil
Thakore, Sonal
author_facet Gajjar, Devarshi
Baghel, Manoj Kumar
Thakkar, Harshil
Thakore, Sonal
author_sort Gajjar, Devarshi
collection PubMed
description POSTER SESSION 3, SEPTEMBER 23, 2022, 12:30 PM - 1:30 PM: The timely diagnosis of fungal infections is of prime importance for prescribing appropriate anti-fungal drugs. Current methods for fungal diagnosis involve culture-based methods, antibody-based detection using lateral flow assays and RT-PCR. In the present work, we devised a non-enzymatic amplification using 2D-Covalent Organic Framework (COF) nanosheet for the detection of fungal DNA. OBJECTIVES: (1) Validation of exfoliated 2D COF Nanosheet as an efficient DNA detection tool via Hybridization chain reaction (HCR) triggered fluorescent assay. (2) Sequence retrieval and probe generation of fungal sample and detection of extracted target DNA via fluorescent assay. METHOD: A novel COF was synthesized and characterization was done using FTIR, BET, TGA, XRD, and SEM. Probes for the detection of fungi (Candida, Aspergillus, and Mucor) were designed using NUPACK software. HCR was monitored for different time and probe concentrations and standardized reaction was used for the detection of fungal RNA. RESULTS: FTIR, BET, TGA, XRD, and SEM confirmed the structure and formation of COF-nanosheet. H1, H2 probes at a concentration of 1μm and in presence of Target DNA (0.001μm-1μm) showed HCR reaction at 1.5 h. Fluorescence quenching was observed when probes were mixed with both, bulk COF and COF-nanosheets but increased quenching CONCLUSION: Fungal detection can be done by means of HCR using the Covalent nanosheets.
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spelling pubmed-95158702022-09-28 P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet Gajjar, Devarshi Baghel, Manoj Kumar Thakkar, Harshil Thakore, Sonal Med Mycol Oral Presentations POSTER SESSION 3, SEPTEMBER 23, 2022, 12:30 PM - 1:30 PM: The timely diagnosis of fungal infections is of prime importance for prescribing appropriate anti-fungal drugs. Current methods for fungal diagnosis involve culture-based methods, antibody-based detection using lateral flow assays and RT-PCR. In the present work, we devised a non-enzymatic amplification using 2D-Covalent Organic Framework (COF) nanosheet for the detection of fungal DNA. OBJECTIVES: (1) Validation of exfoliated 2D COF Nanosheet as an efficient DNA detection tool via Hybridization chain reaction (HCR) triggered fluorescent assay. (2) Sequence retrieval and probe generation of fungal sample and detection of extracted target DNA via fluorescent assay. METHOD: A novel COF was synthesized and characterization was done using FTIR, BET, TGA, XRD, and SEM. Probes for the detection of fungi (Candida, Aspergillus, and Mucor) were designed using NUPACK software. HCR was monitored for different time and probe concentrations and standardized reaction was used for the detection of fungal RNA. RESULTS: FTIR, BET, TGA, XRD, and SEM confirmed the structure and formation of COF-nanosheet. H1, H2 probes at a concentration of 1μm and in presence of Target DNA (0.001μm-1μm) showed HCR reaction at 1.5 h. Fluorescence quenching was observed when probes were mixed with both, bulk COF and COF-nanosheets but increased quenching CONCLUSION: Fungal detection can be done by means of HCR using the Covalent nanosheets. Oxford University Press 2022-09-20 /pmc/articles/PMC9515870/ http://dx.doi.org/10.1093/mmy/myac072.P420 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Oral Presentations
Gajjar, Devarshi
Baghel, Manoj Kumar
Thakkar, Harshil
Thakore, Sonal
P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet
title P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet
title_full P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet
title_fullStr P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet
title_full_unstemmed P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet
title_short P420 Fungal detection by means of HCR using 2D-Covalent Organic Framework Nanosheet
title_sort p420 fungal detection by means of hcr using 2d-covalent organic framework nanosheet
topic Oral Presentations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515870/
http://dx.doi.org/10.1093/mmy/myac072.P420
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