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Updated: Mar 8, 2026

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Published on: July 10, 2015

Microalgae as embedded environmental monitors.

Zachary L Ogburn¹, Frank Vogt¹

¹Department of Chemistry, University of Tennessee, 552 Buehler Hall, Knoxville, TN 37996-1600, USA.

Analytica Chimica Acta

|January 14, 2017

Summary

This summary is machine-generated.

Microalgae adapt their chemical makeup to environmental changes, enabling novel in-situ monitoring. This study developed methods to track carbon dioxide and nitrate levels by analyzing microalgae

Keywords:

Environmental monitoring FTIR-ATR spectroscopy Microalgae Nonlinear chemometrics

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Area of Science:

Marine Biology
Environmental Chemistry
Analytical Chemistry

Background:

Microalgae are crucial in marine ecosystems, influencing environmental chemistry through nutrient cycling.
Phytoplankton sequester atmospheric carbon dioxide (CO2) and nitrate, impacting climate and water quality.
Microalgae's chemical composition changes in response to their environment, offering potential for monitoring.

Purpose of the Study:

To develop novel analytical methodologies for in-situ environmental monitoring using microalgae adaptation.
To investigate the impact of environmental factors on phytoplankton's sequestration performance and nutritional value.
To establish a method for measuring atmospheric CO2 and dissolved nitrate concentrations.

Main Methods:

Fourier-transform infrared-attenuated total reflectance (FTIR-ATR) spectroscopy was used to analyze live microalgae (Nannochloropsis oculata).
Microalgae cultures were grown under various mixtures of CO2 and nitrate concentrations.
A nonlinear modeling methodology, 'Predictor Surfaces,' was developed to describe microalgae responses.

Main Results:

FTIR-ATR spectroscopy successfully monitored bio-sediment formation and its relation to nutrient availability.
The study determined the spectroscopic signature of microalgae under different CO2 and nitrate conditions.
The 'Predictor Surfaces' model accurately described nonlinear responses and enabled precise measurement of CO2 and nitrate concentrations.

Conclusions:

Microalgae's adaptive chemical changes can be utilized for novel in-situ environmental monitoring.
The developed spectroscopic and modeling approach allows for precise quantification of CO2 and nitrate levels.
This methodology provides insights into the link between environmental concentrations and biological consequences in ecosystems.