2D Fluorescence spectroscopy for monitoring Dunaliella salina concentration and integrity during membrane harvesting

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Dunaliella salina is able to produce simultaneously several valuable compounds (such as lipids, carotenes and functional proteins) within the biorefinery concept. However due to the lack of rigid cell wall, this microalgae can easily disrupt during harvesting, losing valuable compounds to the saline water, affecting the downstream processing. Therefore, the development of non-invasive tools able to monitor cell concentration and integrity in real-time, can assist the development of harvesting methodologies. In the present work, a monitoring approach was developed based on two-dimensional (2D) fluorescence spectroscopy. Mathematical analysis of the monitoring data involved the use of Principal Component Analysis (PCA) and Projection to Latent Structures (PLS) modelling. For green D. salina, the models developed for prediction of cell number and percentage of viability captured 90.6% and 86.3% of variance, respectively. Both models have R2 of 0.8 and 0.9, respectively for validation and training. Similar values were found for the prediction of cell number when using data from growth kinetics and harvesting combined. Orange D. salina rupture was also successfully modelled with 95% of variance captured and R2 of 0.9 for both training and validation. The combined approach using 2D fluorescence spectroscopy and the mathematical analysis proved to have the potential to monitor D. salina during cell growth and harvesting within a biorefinery concept.

Original languageEnglish
Pages (from-to)325-332
Number of pages8
JournalAlgal Research
Volume24
DOIs
Publication statusPublished - 1 Jun 2017

Fingerprint

fluorescence emission spectroscopy
Dunaliella salina
biorefining
monitoring
cell harvesting
prediction
cells
carotenes
microalgae
saline water
cell growth
principal component analysis
cell walls
viability
kinetics
lipids
proteins

Keywords

  • 2D fluorescence spectroscopy
  • Dunaliella salina
  • Microfiltration
  • Monitoring
  • PLS modelling
  • Ultrafiltration

Cite this

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title = "2D Fluorescence spectroscopy for monitoring Dunaliella salina concentration and integrity during membrane harvesting",
abstract = "Dunaliella salina is able to produce simultaneously several valuable compounds (such as lipids, carotenes and functional proteins) within the biorefinery concept. However due to the lack of rigid cell wall, this microalgae can easily disrupt during harvesting, losing valuable compounds to the saline water, affecting the downstream processing. Therefore, the development of non-invasive tools able to monitor cell concentration and integrity in real-time, can assist the development of harvesting methodologies. In the present work, a monitoring approach was developed based on two-dimensional (2D) fluorescence spectroscopy. Mathematical analysis of the monitoring data involved the use of Principal Component Analysis (PCA) and Projection to Latent Structures (PLS) modelling. For green D. salina, the models developed for prediction of cell number and percentage of viability captured 90.6{\%} and 86.3{\%} of variance, respectively. Both models have R2 of 0.8 and 0.9, respectively for validation and training. Similar values were found for the prediction of cell number when using data from growth kinetics and harvesting combined. Orange D. salina rupture was also successfully modelled with 95{\%} of variance captured and R2 of 0.9 for both training and validation. The combined approach using 2D fluorescence spectroscopy and the mathematical analysis proved to have the potential to monitor D. salina during cell growth and harvesting within a biorefinery concept.",
keywords = "2D fluorescence spectroscopy, Dunaliella salina, Microfiltration, Monitoring, PLS modelling, Ultrafiltration",
author = "Marta S{\'a} and Joana Monte and Carla Brazinha and Galinha, {Claudia F.} and Crespo, {Jo{\~a}o G.}",
note = "Sem PDF. King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) (OSR-2016-CPF-2907-05) FCT, Portugal (SFRH/BPD/95864/2013; SFRH/BPD/79533/2011; SFRH/BD/108894/2015)",
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T1 - 2D Fluorescence spectroscopy for monitoring Dunaliella salina concentration and integrity during membrane harvesting

AU - Sá, Marta

AU - Monte, Joana

AU - Brazinha, Carla

AU - Galinha, Claudia F.

AU - Crespo, João G.

N1 - Sem PDF. King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) (OSR-2016-CPF-2907-05) FCT, Portugal (SFRH/BPD/95864/2013; SFRH/BPD/79533/2011; SFRH/BD/108894/2015)

PY - 2017/6/1

Y1 - 2017/6/1

N2 - Dunaliella salina is able to produce simultaneously several valuable compounds (such as lipids, carotenes and functional proteins) within the biorefinery concept. However due to the lack of rigid cell wall, this microalgae can easily disrupt during harvesting, losing valuable compounds to the saline water, affecting the downstream processing. Therefore, the development of non-invasive tools able to monitor cell concentration and integrity in real-time, can assist the development of harvesting methodologies. In the present work, a monitoring approach was developed based on two-dimensional (2D) fluorescence spectroscopy. Mathematical analysis of the monitoring data involved the use of Principal Component Analysis (PCA) and Projection to Latent Structures (PLS) modelling. For green D. salina, the models developed for prediction of cell number and percentage of viability captured 90.6% and 86.3% of variance, respectively. Both models have R2 of 0.8 and 0.9, respectively for validation and training. Similar values were found for the prediction of cell number when using data from growth kinetics and harvesting combined. Orange D. salina rupture was also successfully modelled with 95% of variance captured and R2 of 0.9 for both training and validation. The combined approach using 2D fluorescence spectroscopy and the mathematical analysis proved to have the potential to monitor D. salina during cell growth and harvesting within a biorefinery concept.

AB - Dunaliella salina is able to produce simultaneously several valuable compounds (such as lipids, carotenes and functional proteins) within the biorefinery concept. However due to the lack of rigid cell wall, this microalgae can easily disrupt during harvesting, losing valuable compounds to the saline water, affecting the downstream processing. Therefore, the development of non-invasive tools able to monitor cell concentration and integrity in real-time, can assist the development of harvesting methodologies. In the present work, a monitoring approach was developed based on two-dimensional (2D) fluorescence spectroscopy. Mathematical analysis of the monitoring data involved the use of Principal Component Analysis (PCA) and Projection to Latent Structures (PLS) modelling. For green D. salina, the models developed for prediction of cell number and percentage of viability captured 90.6% and 86.3% of variance, respectively. Both models have R2 of 0.8 and 0.9, respectively for validation and training. Similar values were found for the prediction of cell number when using data from growth kinetics and harvesting combined. Orange D. salina rupture was also successfully modelled with 95% of variance captured and R2 of 0.9 for both training and validation. The combined approach using 2D fluorescence spectroscopy and the mathematical analysis proved to have the potential to monitor D. salina during cell growth and harvesting within a biorefinery concept.

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