Laser reflectance measurement for the online monitoring of Chlorella sorokiniana biomass concentration.

Abstract:

:Fast and reliable methods to determine biomass concentration are necessary to facilitate the large scale production of microalgae. A method for the rapid estimation of Chlorella sorokiniana biomass concentration was developed. The method translates the suspension particle size spectrum gathered though laser reflectance into biomass concentration by means of two machine learning modelling techniques. In each case, the model hyper-parameters were selected applying a simulated annealing algorithm. The results show that dry biomass concentration can be estimated with a very good accuracy (R2=0.87). The presented method seems to be suited to perform fast estimations of biomass concentration in suspensions of microalgae cultivated in moderately turbid media with tendency to aggregate.

journal_name

J Biotechnol

journal_title

Journal of biotechnology

authors

López Expósito P,Blanco Suárez A,Negro Álvarez C

doi

10.1016/j.jbiotec.2016.12.020

subject

Has Abstract

pub_date

2017-02-10 00:00:00

pages

10-15

eissn

0168-1656

issn

1873-4863

pii

S0168-1656(16)31667-4

journal_volume

243

pub_type

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