A New Fluorometer to Detect Harmful Algal Bloom Species and its Application as a Long–Term HABs Monitoring Tool Article Swipe
Mitsuo Yoshida
,
Yohei Shimasaki
,
Daiki Inokuchi
,
Ayahiro NAKAZATO
,
Shusaku Otake
,
Xuchun Qiu
,
Koki Mukai
,
Herminio Foloni-Neto
,
H. C. de A. Kato
,
Seiichiro Honda
,
Yuji Oshima
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5109/4363549
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5109/4363549
Improving technology for monitoring of harmful algal species is an important issue in fisheries industries, coastal management, and public health agencies. We have studied the possibility of monitoring harmful algal species using specificity of chlorophyll fluorescence spectrum obtained through the investigation of fluorescence properties of various species. We found that the peak wavelengths of the chlorophyll fluorescence spectra of Karenia mikimotoi and Chattonella marina var. antiqua slightly shift towards longer wavelengths compared to other species. Based on these findings, we have developed an in situ Harmful Algal Indication sensor (HAI sensor), which measures the Fluorescence spectral Shift Index (FSI), which is defined as the ratio of fluorescence intensities at two different wavelengths (670 and 690 nm) for representing the degree of fluorescence spectrum shifts, from the fluorescence intensities excited by blue light. The performance evaluation of HAI sensor for algal strains showed that FSI of Karenia mikimotoi and Chattonella marina var. antiqua were higher than those of other species. These results indicate that HAI sensor is able to detect these harmful algae. The field studies, conducted in Saiki Bay, Oita Japan in 2017, compared vertical profiles of FSI measured by HAI sensor with the species composition estimated by microscopic analysis. In these observations, HAI sensor successfully detected vertical distributions of Karenia mikimotoi. Furthermore, we have conducted long–term mooring observation using two units of HAI sensor, which were placed at mid and near-bottom layers and connected to a telemeter system in Saiki bay, Oita Japan in 2019. In this observation, HAI sensor detected the presence of Karenia mikimotoi at concentrations as low as 27 cells ml–1, suggesting that HAI sensor is useful for harmful algal blooms (HABs) monitoring and early warning systems.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5109/4363549
- https://catalog.lib.kyushu-u.ac.jp/opac_download_md/4363549/p037.pdf
- OA Status
- diamond
- Cited By
- 9
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3138058243
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3138058243Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5109/4363549Digital Object Identifier
- Title
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A New Fluorometer to Detect Harmful Algal Bloom Species and its Application as a Long–Term HABs Monitoring ToolWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-03-01Full publication date if available
- Authors
-
Mitsuo Yoshida, Yohei Shimasaki, Daiki Inokuchi, Ayahiro NAKAZATO, Shusaku Otake, Xuchun Qiu, Koki Mukai, Herminio Foloni-Neto, H. C. de A. Kato, Seiichiro Honda, Yuji OshimaList of authors in order
- Landing page
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https://doi.org/10.5109/4363549Publisher landing page
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https://catalog.lib.kyushu-u.ac.jp/opac_download_md/4363549/p037.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://catalog.lib.kyushu-u.ac.jp/opac_download_md/4363549/p037.pdfDirect OA link when available
- Concepts
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Fluorometer, Bloom, Term (time), Algal bloom, Biology, Oceanography, Ecology, Environmental science, Fishery, Geology, Phytoplankton, Quantum mechanics, Nutrient, Physics, FluorescenceTop concepts (fields/topics) attached by OpenAlex
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9Total citation count in OpenAlex
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2025: 5, 2024: 2, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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10Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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