Development of a monitoring tool based on fluorescence and climatic data for pigments profile estimation in Dunaliella salina

Research output: Contribution to journalArticle

Abstract

When growing microalgae for biorefinery processes, a high product yield is desired. For that reason, monitoring the concentration of the desired products during growth and products induction procedure is of great interest. 2D Fluorescence spectroscopy is a fingerprinting technique, used in situ and at real time, with a high potential for online monitoring of biological systems. In this work, Dunaliella salina pigment content was monitored using fluorescence data coupled with chemometric tools. Climatic parameters were also used as input variables due to their impact on the pigments profile in outdoor cultivations. Predictive models were developed for chlorophyll content (a, b, and total) with variance captured between 50 and 90%, and R2 varying between 0.6 and 0.9 for both training and validation data sets. Total carotenoids models captured 70 to 80% of variance, and R2 between 0.7 and 0.9, for training and validation. Models for specific carotenoids (zeaxanthin, α-carotene, all-trans-β-carotene, and 9-cis-β-carotene) captured variance between 60 and 90%, with validation and training R2 between 0.6 and 0.9. With this methodology, it was possible to calibrate a monitoring tool for pigments quantification, as a bulk and as individual compounds, proving that 2D fluorescence spectroscopy and climatic data combined with chemometric tools can be used to assess simultaneously and at real time different pigments in D. salina biomass production.

Original languageEnglish
JournalJournal of Applied Phycology
DOIs
Publication statusAccepted/In press - 1 Jan 2019

Fingerprint

Dunaliella salina
pigment
fluorescence emission spectroscopy
fluorescence
carotenes
pigments
fluorescence spectroscopy
monitoring
chemometrics
carotenoid
carotenoids
biorefining
zeaxanthin
microalgae
biomass production
chlorophyll
methodology
salina
biomass
product

Keywords

  • 2D fluorescence spectroscopy
  • Carotenogenesis
  • Dunaliella salina
  • EEMs (excitation-emission matrices)
  • PLS modeling

Cite this

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title = "Development of a monitoring tool based on fluorescence and climatic data for pigments profile estimation in Dunaliella salina",
abstract = "When growing microalgae for biorefinery processes, a high product yield is desired. For that reason, monitoring the concentration of the desired products during growth and products induction procedure is of great interest. 2D Fluorescence spectroscopy is a fingerprinting technique, used in situ and at real time, with a high potential for online monitoring of biological systems. In this work, Dunaliella salina pigment content was monitored using fluorescence data coupled with chemometric tools. Climatic parameters were also used as input variables due to their impact on the pigments profile in outdoor cultivations. Predictive models were developed for chlorophyll content (a, b, and total) with variance captured between 50 and 90{\%}, and R2 varying between 0.6 and 0.9 for both training and validation data sets. Total carotenoids models captured 70 to 80{\%} of variance, and R2 between 0.7 and 0.9, for training and validation. Models for specific carotenoids (zeaxanthin, α-carotene, all-trans-β-carotene, and 9-cis-β-carotene) captured variance between 60 and 90{\%}, with validation and training R2 between 0.6 and 0.9. With this methodology, it was possible to calibrate a monitoring tool for pigments quantification, as a bulk and as individual compounds, proving that 2D fluorescence spectroscopy and climatic data combined with chemometric tools can be used to assess simultaneously and at real time different pigments in D. salina biomass production.",
keywords = "2D fluorescence spectroscopy, Carotenogenesis, Dunaliella salina, EEMs (excitation-emission matrices), PLS modeling",
author = "Marta S{\'a} and Alzira Ramos and Joana Monte and Carla Brazinha and Galinha, {Claudia F.} and Crespo, {Jo{\~a}o G.}",
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TY - JOUR

T1 - Development of a monitoring tool based on fluorescence and climatic data for pigments profile estimation in Dunaliella salina

AU - Sá, Marta

AU - Ramos, Alzira

AU - Monte, Joana

AU - Brazinha, Carla

AU - Galinha, Claudia F.

AU - Crespo, João G.

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PY - 2019/1/1

Y1 - 2019/1/1

N2 - When growing microalgae for biorefinery processes, a high product yield is desired. For that reason, monitoring the concentration of the desired products during growth and products induction procedure is of great interest. 2D Fluorescence spectroscopy is a fingerprinting technique, used in situ and at real time, with a high potential for online monitoring of biological systems. In this work, Dunaliella salina pigment content was monitored using fluorescence data coupled with chemometric tools. Climatic parameters were also used as input variables due to their impact on the pigments profile in outdoor cultivations. Predictive models were developed for chlorophyll content (a, b, and total) with variance captured between 50 and 90%, and R2 varying between 0.6 and 0.9 for both training and validation data sets. Total carotenoids models captured 70 to 80% of variance, and R2 between 0.7 and 0.9, for training and validation. Models for specific carotenoids (zeaxanthin, α-carotene, all-trans-β-carotene, and 9-cis-β-carotene) captured variance between 60 and 90%, with validation and training R2 between 0.6 and 0.9. With this methodology, it was possible to calibrate a monitoring tool for pigments quantification, as a bulk and as individual compounds, proving that 2D fluorescence spectroscopy and climatic data combined with chemometric tools can be used to assess simultaneously and at real time different pigments in D. salina biomass production.

AB - When growing microalgae for biorefinery processes, a high product yield is desired. For that reason, monitoring the concentration of the desired products during growth and products induction procedure is of great interest. 2D Fluorescence spectroscopy is a fingerprinting technique, used in situ and at real time, with a high potential for online monitoring of biological systems. In this work, Dunaliella salina pigment content was monitored using fluorescence data coupled with chemometric tools. Climatic parameters were also used as input variables due to their impact on the pigments profile in outdoor cultivations. Predictive models were developed for chlorophyll content (a, b, and total) with variance captured between 50 and 90%, and R2 varying between 0.6 and 0.9 for both training and validation data sets. Total carotenoids models captured 70 to 80% of variance, and R2 between 0.7 and 0.9, for training and validation. Models for specific carotenoids (zeaxanthin, α-carotene, all-trans-β-carotene, and 9-cis-β-carotene) captured variance between 60 and 90%, with validation and training R2 between 0.6 and 0.9. With this methodology, it was possible to calibrate a monitoring tool for pigments quantification, as a bulk and as individual compounds, proving that 2D fluorescence spectroscopy and climatic data combined with chemometric tools can be used to assess simultaneously and at real time different pigments in D. salina biomass production.

KW - 2D fluorescence spectroscopy

KW - Carotenogenesis

KW - Dunaliella salina

KW - EEMs (excitation-emission matrices)

KW - PLS modeling

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U2 - 10.1007/s10811-019-01999-z

DO - 10.1007/s10811-019-01999-z

M3 - Article

JO - Journal of Applied Phycology

JF - Journal of Applied Phycology

SN - 0921-8971

ER -