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

Overview

Journal Microorganisms

Specialty Microbiology

Date 2024 Jun 27

PMID 38930433

Authors

Gyorgy Fekete

Andras Sebok

Szandra Klatyik

Zsolt Istvan Varga

Janos Grosz

Imre Czinkota

Andras Szekacs

Laszlo Aleksza

Affiliations

Soon will be listed here.

Abstract

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.

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