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Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy
The pathogens of the Diaporthe genus are now considered to be the dominant pathogens of kiwifruit soft rot. Here, we present a protocol to construct nanoprobes for the Diaporthe genus and detect changes of surface-enhanced Raman spectroscopy for samples collected from infected kiwifruit. We describe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239012/ https://www.ncbi.nlm.nih.gov/pubmed/37243598 http://dx.doi.org/10.1016/j.xpro.2023.102339 |
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author | Jiang, Hao Yu, Ting Miao, Min Liu, Honglin |
author_facet | Jiang, Hao Yu, Ting Miao, Min Liu, Honglin |
author_sort | Jiang, Hao |
collection | PubMed |
description | The pathogens of the Diaporthe genus are now considered to be the dominant pathogens of kiwifruit soft rot. Here, we present a protocol to construct nanoprobes for the Diaporthe genus and detect changes of surface-enhanced Raman spectroscopy for samples collected from infected kiwifruit. We describe steps for synthesis of gold nanoparticles, DNA extraction from kiwifruit, and construction of nanoprobes. We then detail classification of nanoparticles with different aggregation states through dark-field microscope (DFM) picture analysis using Fiji-ImageJ software. For complete details on the use and execution of this protocol, please refer to Yu et al. (2022).(1) |
format | Online Article Text |
id | pubmed-10239012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102390122023-06-04 Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy Jiang, Hao Yu, Ting Miao, Min Liu, Honglin STAR Protoc Protocol The pathogens of the Diaporthe genus are now considered to be the dominant pathogens of kiwifruit soft rot. Here, we present a protocol to construct nanoprobes for the Diaporthe genus and detect changes of surface-enhanced Raman spectroscopy for samples collected from infected kiwifruit. We describe steps for synthesis of gold nanoparticles, DNA extraction from kiwifruit, and construction of nanoprobes. We then detail classification of nanoparticles with different aggregation states through dark-field microscope (DFM) picture analysis using Fiji-ImageJ software. For complete details on the use and execution of this protocol, please refer to Yu et al. (2022).(1) Elsevier 2023-05-26 /pmc/articles/PMC10239012/ /pubmed/37243598 http://dx.doi.org/10.1016/j.xpro.2023.102339 Text en © 2023. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Jiang, Hao Yu, Ting Miao, Min Liu, Honglin Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy |
title | Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy |
title_full | Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy |
title_fullStr | Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy |
title_full_unstemmed | Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy |
title_short | Protocol for early warning of Diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced Raman spectroscopy |
title_sort | protocol for early warning of diaporthe infection in kiwifruit soft rot by plasmonic dimer-enhanced raman spectroscopy |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239012/ https://www.ncbi.nlm.nih.gov/pubmed/37243598 http://dx.doi.org/10.1016/j.xpro.2023.102339 |
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