Literature DB >> 33091781

Investigation of a biosystem based on Arthrospira platensis for air revitalisation in spacecrafts: Performance evaluation through response surface methodology.

Gabriela Soreanu1, Igor Cretescu2, Mariana Diaconu2, Corneliu Cojocaru3, Maria Ignat4, Petrisor Samoila3, Valeria Harabagiu3.   

Abstract

Arthrospira platensis is featured as a promising microalgae candidate for the development of the biosystems for air revitalisation in spacecrafts and life support in space. An enhanced configuration of a sparged type photobioreactor (PBR), containing 5 L of A. platensis culture, which was equipped with an external LED lighting tube around the reactor, was used in this study. The PBR was operated under dynamic conditions (0.5 L/min) with synthetic air containing CO2 (400, 900, 1400 ppm) and other gas traces (NO2 1 ppm, SO2 2.5 ppm, acetic acid vapours 1 ppm), at various light intensities (1.5, 2.5, 3.5 klux), according to an experimental design. The removal of gas traces (NO2, SO2 and acetic acid vapours) was below the detection limit (e.g. above 90% removal efficiency), while the removal of CO2 ranged between 69% and 85%, depending on the initial CO2 concentration and the light intensity. Thus, the system is able to roughly decrease the contaminant concentration from 1 ppm to below 0.1 ppm for NO2, 2.5 ppm to below 0.1 ppm for SO2, 1 ppm to below 1 ppb for acetic acid vapours and from 1400 ppm to 370 or from 400 ppm to 60 ppm for CO2. The system performance was thus subject to mathematical modelling and optimization in terms of CO2 removal efficiency and CO2 elimination capacity, which were also corroborated with the power consumption for illumination.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air biotreatment; Arthrospira platensis; Life support in space; Mathematical modelling and optimization; Photobioreactor; Sustainable biosystem

Year:  2020        PMID: 33091781     DOI: 10.1016/j.chemosphere.2020.128465

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Modeling and Optimizing the Effect of Light Color, Sodium Chloride and Glucose Concentration on Biomass Production and the Quality of Arthrospira platensis Using Response Surface Methodology (RSM).

Authors:  Ahmad Nosratimovafagh; Abolghasem Esmaeili Fereidouni; Felix Krujatz
Journal:  Life (Basel)       Date:  2022-03-03
  1 in total

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