Three-way Principal Components Analysis for fluorescence spectroscopic classification of algae species
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Graphical representation of the first two components corresponding to emission and excitation spectrum produced curves that served as fingerprints for the five algae species.
“Graphical representation of the first two components corresponding to emission and excitation spectrum, produced curves that served as the fingerprints for the five algae species.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [77]
Henrion et al. investigated the characterization of different algae species from excitation-emission matrices using fluorescence spectroscopy.
“In another study on classification of microalgae, Henrion et al. [77] investigated the characterization of different algae species from excitation–emission matrices (EEM) using fluorescence spectroscopy.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [77]
Visual comparison of the curves reveals evident differences, which gave the distinction between species.
“An advantage here was that visual comparison of the curves reveals evident differences, which gave the distinction between species.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [77]
Identification of the underlying spectra was achieved using PCA.
“The identification of the underlying spectra was achieved using PCA.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [77]
The study illustrated how a three-way PCA was used as a tool in the classification of algae species.
“The study illustrated how a three-way PCA was used as a tool in the classification of algae species.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [77]
A three-way PCA was applied for the identification of the underlying spectra by decomposing the data into independent pairs of column and row profiles.
“A three-way PCA was applied for the identification of the underlying spectra, by decomposing the data into independent pairs of column and row profiles.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [77]
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Light emitting diode excitation emission matrix fluorescence spectroscopy
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New data mining and calibration approaches to the assessment of water treatment efficiency
Bieroza, M., Baker, A., & Bridgeman, J. O. (2011) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2011.05.031 · Cited by 35 · see citing works
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Self-citationFluorescence properties of Baltic Sea phytoplankton
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Substratum‐Associated Microbiota
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- Authors
- Henrion, R., Henrion, G., Böhme, M., & Behrendt, H.
- Affiliations
- Humboldt-Universität zu Berlin (DE)
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (DE)
- Venue
- Fresenius Journal of Analytical Chemistry
- Published
- 1997-02-28
- Volume
- 357
- Issue
- 5
- Pages
- 522-526
- ISSN
- 0937-0633 (ISSN-L)
- 1432-1130
- OpenAlex
- W2009811447
- Cited by
- 19
- References
- 1
- Citations by year
- 2023: 2 · 2020: 1 · 2019: 1 · 2018: 2 · 2012: 1
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Fresenius Journal of Analytical Chemistry (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Mathematics › Computational Mathematics › Tensor decomposition and applications
- Physical Sciences › Environmental Science › Waste Management and Disposal › Water Quality Monitoring and Analysis
- Keywords
- fluorescence excitation-emission matrix, fluorescence spectroscopy, multivariate analysis, hyperspectral imagery
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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