229
Views
1
CrossRef citations to date
0
Altmetric
Articles

Quantification of cell concentration in biofuel-important microalgae using hyperspectral reflectance and hyperspectral extinction coefficient

, ORCID Icon, , , &
Pages 8764-8792 | Received 29 May 2018, Accepted 08 May 2019, Published online: 26 May 2019
 

ABSTRACT

Monitoring of microalgae cell concentration during their growing phase is imperative to ensure efficiency in biomass production and to study the cell division kinetics since it impacts the penetration depth of the active light radiation and thus determines the thickness of the active growing layer. Conventionally, the cell concentration (number of cells per unit volume) of microalgal solutions is estimated by microscopic enumeration method that is laborious and time consuming and can be performed only in the laboratory. In this study, we developed algorithms that relate cell concentration to hyperspectral reflectance and extinction coefficient (EC) for quick estimates of cell concentration. A multi-layer radiative transfer model was developed to correct the effect of the bottom of the microalgal solution container and table surface to obtain the hyperspectral reflectance and EC of only microalgal solution. Regression results show that the reflectance-based Band Ratio (BR) algorithm and the EC-based Spectral Shape (SS) index in the near-infrared (NIR) band gave the best results for all three microalgae species with the coefficient of determination R2>0.990, mean relative errors MRE < 5% and root mean squared error RMSE < 5%, and especially for A. cylindrica and N. gaditana, with R2>0.999, MRE < 2% and RMSE < 1%, respectively. These relationships can be used to quickly estimate microalgal cell concentration from hyperspectral measurements that can be carried out quickly and easily either in laboratory or in field.

Acknowledgements

This research was supported by the Montana Board of Regents of Higher Education under grant 51040-MUSRI2015-05 and by the China Scholarship Council (J. Miao).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the China Scholarship Council; Montana Board of Regents of Higher Education [51040-MUSRI2015-05].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.