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Light reflection spectra as a tool for direct and real-time determination of biomass and pigments in the microalgae Microchloropsis salina

Vinh, Trinh Quang ; Trung, Tran Nam ; Balasus, Jens ; Sharma, Sulabha ; Hegemann, Tim ; Greulich, Simon ; Khanh, Tran Quoc ; Kaldenhoff, Ralf (2023)
Light reflection spectra as a tool for direct and real-time determination of biomass and pigments in the microalgae Microchloropsis salina.
In: Lighting Research & Technology, 2021, 53 (2)
doi: 10.26083/tuprints-00019643
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

To meet the increasing demand for mass-produced microalgae, production processes must be optimised and monitored. The herein described optical sensors provide an instantaneous and direct opportunity to monitor biological and biochemical information for microalgae cultivation. Combination of expertise in natural science and engineering, as well as the application of novel data acquisition and analysis methods, are required to develop an appropriate system for industrial purpose. Prior to this, the correlation between biological and physical parameters must be determined. In this work, we combined colour science with the experimentally determined dataset from the cultivation of Microchloropsis salina. Our results indicate a resilient correlation between algal biomass and its specific pigment concentration with the determined reflection spectrum. Data evaluation allowed us to establish identification models for contactless quantification of the respective biological parameter in large-scale automated bioreactors.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Vinh, Trinh Quang ; Trung, Tran Nam ; Balasus, Jens ; Sharma, Sulabha ; Hegemann, Tim ; Greulich, Simon ; Khanh, Tran Quoc ; Kaldenhoff, Ralf
Art des Eintrags: Zweitveröffentlichung
Titel: Light reflection spectra as a tool for direct and real-time determination of biomass and pigments in the microalgae Microchloropsis salina
Sprache: Englisch
Publikationsjahr: 28 November 2023
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: April 2021
Ort der Erstveröffentlichung: London
Verlag: SAGE Publications
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Lighting Research & Technology
Jahrgang/Volume einer Zeitschrift: 53
(Heft-)Nummer: 2
DOI: 10.26083/tuprints-00019643
URL / URN: https://tuprints.ulb.tu-darmstadt.de/19643
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

To meet the increasing demand for mass-produced microalgae, production processes must be optimised and monitored. The herein described optical sensors provide an instantaneous and direct opportunity to monitor biological and biochemical information for microalgae cultivation. Combination of expertise in natural science and engineering, as well as the application of novel data acquisition and analysis methods, are required to develop an appropriate system for industrial purpose. Prior to this, the correlation between biological and physical parameters must be determined. In this work, we combined colour science with the experimentally determined dataset from the cultivation of Microchloropsis salina. Our results indicate a resilient correlation between algal biomass and its specific pigment concentration with the determined reflection spectrum. Data evaluation allowed us to establish identification models for contactless quantification of the respective biological parameter in large-scale automated bioreactors.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-196437
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik
Fachbereich(e)/-gebiet(e): 10 Fachbereich Biologie
10 Fachbereich Biologie > Applied Plant Sciences
18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Adaptive Lichttechnische Systeme und Visuelle Verarbeitung
Hinterlegungsdatum: 28 Nov 2023 10:37
Letzte Änderung: 29 Nov 2023 06:19
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