Wavelength Selection Method of Algal Fluorescence Spectrum Based on Convex Point Extraction From Feature Region

Yong-bin ZHANG; Dan-dan ZHU; Ying CHEN; Zhe LIU; Wei-liang DUAN; Shao-hua LI

doi:10.3964/j.issn.1000-0593(2022)10-3031-08

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 10 >Page 3031 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 10, 3031 (2022)

Wavelength Selection Method of Algal Fluorescence Spectrum Based on Convex Point Extraction From Feature Region

Yong-bin ZHANG^1、*, Dan-dan ZHU^1、1;, Ying CHEN^{1、1; *;}, Zhe LIU^1、1;, Wei-liang DUAN^1、1;, and Shao-hua LI^2、2;

Author Affiliations

¹1. Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

²2. Hebei Sailhero Environmental Protection Hi-tech Co., Ltd., Shijiazhuang 050000, China

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DOI: 10.3964/j.issn.1000-0593(2022)10-3031-08 Cite this Article

Yong-bin ZHANG, Dan-dan ZHU, Ying CHEN, Zhe LIU, Wei-liang DUAN, Shao-hua LI. Wavelength Selection Method of Algal Fluorescence Spectrum Based on Convex Point Extraction From Feature Region[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3031 Copy Citation Text

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Fig. 1. Contour spectra of 3 phytoplankton
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Excitation spectra of 3 phytoplankton before smooth denoising(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

Fig. 2. Excitation spectra of 3 phytoplankton before smooth denoising
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 3. Excitation spectra of 3 phytoplankton after smooth denoising
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 4. Mahalanobis distance distribution of 3 phytoplankton
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 5. Concentration residual distribution of 3 phytoplankton
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 6. Convex pointsstatistics of 3 phytoplankton
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 7. Initial candidate feature region
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 8. Statistics of convex points under the initial candidate feature region
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 9. Change curve of RMSECV with different η_q and η_t(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 10. Wavelength selection results of feature region combined with convex point extraction
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Fig. 11. Wavelength selection results of UVE
(a): Aureococcus anophagefferens; (b): Chlorella vulgaris; (c): Synechococcus elongatus

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Phytoplankton	Method	Wavelength point	R²	RMSECV/ (10⁶ cells·mL^-1)
Aureococcus anophagefferens	Total-PLS	1 071	0.8143	1.55
	Feature region+convex point-PLS	77	0.830 7	1.37
	UVE-PLS	676	0.816 2	1.53
Chlorella vulgaris	Total-PLS	1 071	0.983 3	2.80
	Feature region+convex point-PLS	75	0.985 3	2.60
	UVE-PLS	432	0.984 9	2.67
Synechococcus elongatus	Total-PLS	1 071	0.875 2	1.76
	Feature region+convex point-PLS	67	0.907 6	1.50
	UVE-PLS	384	0.895 3	1.66

Table 1. R² and RMSECV of three methods

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