TY - JOUR
T1 - Fluorescence coupled with chemometrics for simultaneous monitoring of cell concentration, cell viability and medium nitrate during production of carotenoid-rich Dunaliella salina
AU - Sá, Marta
AU - Monte, Joana
AU - Brazinha, Carla
AU - Galinha, Claudia F.
AU - Crespo, João G.
N1 - KAUST Repository Item: Exported on 2022-06-13
Acknowledged KAUST grant number(s): OSR-2016-CPF-2907-05
Acknowledgements: This work was supported by the Associate Laboratory for Green Chemistry- LAQV which is financed by national funds from FCT/MCTES (UID/QUI/50006/2019), by the European FP7 KBBE project “D-Factory” (contract no. 613870), by KAUST OSR award no. OSR-2016-CPF-2907-05, and by the follow Fellow grants of FCT/MCTES: SFRH/BPD/95864/2013, SFRH/BPD/79533/2011 and SFRH/BD/108894/2015. The authors would like to thank The Marine Biological Association (Devon, UK) and NBT Ltd (Israel). The authors would also like to thank the company A4F – Algae for future (Portugal), who performed all the pilot-scale cultivation trials and provided the biomass needed to develop this work.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2019/11/12
Y1 - 2019/11/12
N2 - Two-dimensional (2D) fluorescence spectroscopy was investigated as a monitoring tool for cultivation, harvesting, and effluent treatment of Dunaliella salina with high carotenoid concentration; aiming to improve the production process and minimise costs. Chemometric analysis, namely Principal Component Analysis (PCA) and Projection to Latent Structures (PLS), were used to build models for estimation of cellular concentration, cellular viability, and nitrate concentration in media. The estimations were based on fluorescence excitation-emission matrices (EEMs) acquired directly from algal suspensions. Cell concentration during cultivation and harvesting can be predicted by a single model capturing 92.0% of the variance, and with R2 of 0.92 and 0.97, for training and validation, respectively. Cell viability during harvesting by ultrafiltration was modelled with 79% of variance and R2 of 0.79 for training and 0.73 for validation. Nitrate concentration was successfully predicted during cultivation and permeate treatment using a single model with 81.8% of variance and R2 of 0.82 for training and 0.80 for validation. Therefore, this work demonstrates the strong potential of combining 2D fluorescence and chemometrics for monitoring different processes during microalgae production.
AB - Two-dimensional (2D) fluorescence spectroscopy was investigated as a monitoring tool for cultivation, harvesting, and effluent treatment of Dunaliella salina with high carotenoid concentration; aiming to improve the production process and minimise costs. Chemometric analysis, namely Principal Component Analysis (PCA) and Projection to Latent Structures (PLS), were used to build models for estimation of cellular concentration, cellular viability, and nitrate concentration in media. The estimations were based on fluorescence excitation-emission matrices (EEMs) acquired directly from algal suspensions. Cell concentration during cultivation and harvesting can be predicted by a single model capturing 92.0% of the variance, and with R2 of 0.92 and 0.97, for training and validation, respectively. Cell viability during harvesting by ultrafiltration was modelled with 79% of variance and R2 of 0.79 for training and 0.73 for validation. Nitrate concentration was successfully predicted during cultivation and permeate treatment using a single model with 81.8% of variance and R2 of 0.82 for training and 0.80 for validation. Therefore, this work demonstrates the strong potential of combining 2D fluorescence and chemometrics for monitoring different processes during microalgae production.
UR - http://hdl.handle.net/10754/678921
UR - https://linkinghub.elsevier.com/retrieve/pii/S2211926419305934
UR - http://www.scopus.com/inward/record.url?scp=85074780747&partnerID=8YFLogxK
U2 - 10.1016/j.algal.2019.101720
DO - 10.1016/j.algal.2019.101720
M3 - Article
SN - 2211-9264
VL - 44
SP - 101720
JO - Algal Research
JF - Algal Research
ER -