Comparative Analysis of Laboratory-Based and Spectroscopic Methods Used to Estimate the Algal Density of Chlorella vulgaris

is of great importance in numerous exploratory or industrial applications (e.g., medicals, food, and feed additives). Rapid quantification of algal biomass is crucial in photobioreactors for the optimization of nutrient management and the estimation of production. The main goal of this study is to p...

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Bibliographic Details
Published in:Microorganisms (Basel) 2024-05, Vol.12 (6), p.1050
Main Authors: Fekete, György, Sebők, András, Klátyik, Szandra, Varga, Zsolt István, Grósz, János, Czinkota, Imre, Székács, András, Aleksza, László
Format: Article
Language:English
Subjects:
Algae
algal biomass
Aquatic ecosystems
Biodiesel fuels
Biofuels
Biomass
Biotechnology
Carbohydrates
Chlorella
Chlorella vulgaris
Chlorophyll
chlorophyll a
Comparative analysis
Cosmetics
Cyanobacteria
Evaporation
Feed additives
Feeds
Food
Food additives
Heavy metals
Industrial applications
Lipids
Magnesium
magnesium content
Measuring instruments
microalgae
Nutrients
Optical density
Parameter estimation
Pharmaceuticals
Photobioreactors
Plankton
Proteins
Regression analysis
Spectrometry
Spectrophotometry
UV–Vis spectrophotometry
Water pollution
Water treatment
Wavelengths
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Summary:is of great importance in numerous exploratory or industrial applications (e.g., medicals, food, and feed additives). Rapid quantification of algal biomass is crucial in photobioreactors for the optimization of nutrient management and the estimation of production. The main goal of this study is to provide a simple, rapid, and not-resource-intensive estimation method for determining the algal density of according to the measured parameters using UV-Vis spectrophotometry. Comparative assessment measurements were conducted with seven different methods (e.g., filtration, evaporation, chlorophyll a extraction, and detection of optical density and fluorescence) to determine algal biomass. By analyzing the entire spectra of diluted algae samples, optimal wavelengths were determined through a stepwise series of linear regression analyses by a novel correlation scanning method, facilitating accurate parameter estimation. Nonlinear formulas for spectrometry-based estimation processes were derived for each parameter. As a result, a general formula for biomass concentration estimation was developed, with recommendations for suitable measuring devices based on algae concentration levels. New values for magnesium content and the average single-cell weight of were established, in addition to the development of a rapid, semiautomated cell counting method, improving efficiency and accuracy in algae quantification for cultivation and biotechnology applications.
ISSN:2076-2607
2076-2607
DOI:10.3390/microorganisms12061050