Lutein, violaxanthin, and zeaxanthin spectrophotometric quantification: A machine learning approach

Pozzobon Victor; Cristobal Camarena-Bernard

doi:10.1007/s10811-022-02855-3

Journal Articles Journal of Applied Phycology Year : 2022

Lutein, violaxanthin, and zeaxanthin spectrophotometric quantification: A machine learning approach

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Pozzobon Victor

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Cristobal Camarena-Bernard

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Biotechnology

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Submitted on : Friday, November 25, 2022-12:24:23 PM

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hal-03871784 , version 1 (25-11-2022)

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HAL Id : hal-03871784 , version 1
DOI : 10.1007/s10811-022-02855-3

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Pozzobon Victor, Cristobal Camarena-Bernard. Lutein, violaxanthin, and zeaxanthin spectrophotometric quantification: A machine learning approach. Journal of Applied Phycology, 2022, ⟨10.1007/s10811-022-02855-3⟩. ⟨hal-03871784⟩

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Lutein, violaxanthin, and zeaxanthin spectrophotometric quantification: A machine learning approach

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