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Use of In-Situ Visible and Near-Infrared Spectroscopy for Non-invasive Discrimination of Spirulina Platensis

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6 Author(s)
Di Wu ; Coll. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou, China ; Tianyun Ma ; Pengcheng Nie ; Zhiping Wang
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This paper evaluated the feasibility of using visible and near infrared (Vis-NIR) spectroscopy for the non-invasive discrimination of Spirulina platensis. The reflectance spectra of Spirulina platensis culture medium were measured. Full-spectrum obtained an 86.69% correct answer rate (CAR) for the discrimination of twelve species. Several spectral wavelength variable selection algorithms were operated. A hybrid variable selection algorithm of uninformation variable elimination (UVE) and successive projections algorithm (SPA) obtained the best result of 87.22% of CAR for the prediction set than other methods, including SPA, UVE and UVE-genetic algorithms(GA)-partial least squares(PLS). These results show the possibility for the non-invasive discrimination of Spirulina platensis using Vis-NIR spectroscopy, and UVE-SPA is a good spectral variable selection algorithm. It is necessary to operate UVE before SPA, which can both reduce the calculation time and increase the model' s performance.

Published in:

Computational Intelligence and Security, 2009. CIS '09. International Conference on  (Volume:1 )

Date of Conference:

11-14 Dec. 2009