Literature DB >> 23280255

A screening model to predict microalgae biomass growth in photobioreactors and raceway ponds.

M H Huesemann1, J Van Wagenen, T Miller, A Chavis, S Hobbs, B Crowe.   

Abstract

A microalgae biomass growth model was developed for screening novel strains for their potential to exhibit high biomass productivities under nutrient-replete conditions in photobioreactors or outdoor ponds. Growth is modeled by first estimating the light attenuation by biomass according to Beer-Lambert's Law, and then calculating the specific growth rate in discretized culture volume slices that receive declining light intensities due to attenuation. The model uses only two physical and two species-specific biological input parameters, all of which are relatively easy to determine: incident light intensity, culture depth, as well as the biomass light absorption coefficient and the specific growth rate as a function of light intensity. Roux bottle culture experiments were performed with Nannochloropsis salina at constant temperature (23°C) at six different incident light intensities (10, 25, 50, 100, 250, and 850 µmol/m(2)  s) to determine both the specific growth rate under non-shading conditions and the biomass light absorption coefficient as a function of light intensity. The model was successful in predicting the biomass growth rate in these Roux bottle batch cultures during the light-limited linear phase at different incident light intensities. Model predictions were moderately sensitive to minor variations in the values of input parameters. The model was also successful in predicting the growth performance of Chlorella sp. cultured in LED-lighted 800 L raceway ponds operated in batch mode at constant temperature (30°C) and constant light intensity (1,650 µmol/m(2)  s). Measurements of oxygen concentrations as a function of time demonstrated that following exposure to darkness, it takes at least 5 s for cells to initiate dark respiration. As a result, biomass loss due to dark respiration in the aphotic zone of a culture is unlikely to occur in highly mixed small-scale photobioreactors where cells move rapidly in and out of the light. By contrast, as supported also by the growth model, biomass loss due to dark respiration occurs in the dark zones of the relatively less well-mixed pond cultures. In addition to screening novel microalgae strains for high biomass productivities, the model can also be used for optimizing the pond design and operation. Additional research is needed to validate the biomass growth model for other microalgae species and for the more realistic case of fluctuating temperatures and light intensities observed in outdoor pond cultures.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23280255     DOI: 10.1002/bit.24814

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  4 in total

Review 1.  The promising future of microalgae: current status, challenges, and optimization of a sustainable and renewable industry for biofuels, feed, and other products.

Authors:  Muhammad Imran Khan; Jin Hyuk Shin; Jong Deog Kim
Journal:  Microb Cell Fact       Date:  2018-03-05       Impact factor: 5.328

2.  Association between algal productivity and phycosphere composition in an outdoor Chlorella sorokiniana reactor based on multiple longitudinal analyses.

Authors:  Seth A Steichen; Song Gao; Peter Waller; Judith K Brown
Journal:  Microb Biotechnol       Date:  2020-05-25       Impact factor: 5.813

Review 3.  Sources and resources: importance of nutrients, resource allocation, and ecology in microalgal cultivation for lipid accumulation.

Authors:  Matthew W Fields; Adam Hise; Egan J Lohman; Tisza Bell; Rob D Gardner; Luisa Corredor; Karen Moll; Brent M Peyton; Gregory W Characklis; Robin Gerlach
Journal:  Appl Microbiol Biotechnol       Date:  2014-04-03       Impact factor: 4.813

4.  Reentrant Efficiency of Phototaxis in Chlamydomonas reinhardtii Cells.

Authors:  Sujeet Kumar Choudhary; Aparna Baskaran; Prerna Sharma
Journal:  Biophys J       Date:  2019-09-18       Impact factor: 4.033

  4 in total

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