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Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices

The biophotovoltaic cell (BPV) is deemed to be a potent green energy device as it demonstrates the generation of renewable energy from microalgae; however, inadequate electron generation from microalgae is a significant impediment for functional employment of these cells. The photosynthetic process...

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Autores principales: Ng, Fong-Lee, Phang, Siew-Moi, Lan, Boon Leong, Kalavally, Vineetha, Thong, Cheng-Han, Chong, Kian-Ted, Periasamy, Vengadesh, Chandrasekaran, Karthikeyan, kumar, G. Gnana, Yunus, Kamran, Fisher, Adrian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528162/
https://www.ncbi.nlm.nih.gov/pubmed/32999346
http://dx.doi.org/10.1038/s41598-020-72823-9
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author Ng, Fong-Lee
Phang, Siew-Moi
Lan, Boon Leong
Kalavally, Vineetha
Thong, Cheng-Han
Chong, Kian-Ted
Periasamy, Vengadesh
Chandrasekaran, Karthikeyan
kumar, G. Gnana
Yunus, Kamran
Fisher, Adrian C.
author_facet Ng, Fong-Lee
Phang, Siew-Moi
Lan, Boon Leong
Kalavally, Vineetha
Thong, Cheng-Han
Chong, Kian-Ted
Periasamy, Vengadesh
Chandrasekaran, Karthikeyan
kumar, G. Gnana
Yunus, Kamran
Fisher, Adrian C.
author_sort Ng, Fong-Lee
collection PubMed
description The biophotovoltaic cell (BPV) is deemed to be a potent green energy device as it demonstrates the generation of renewable energy from microalgae; however, inadequate electron generation from microalgae is a significant impediment for functional employment of these cells. The photosynthetic process is not only affected by the temperature, CO(2) concentration and light intensity but also the spectrum of light. Thus, a detailed understanding of the influences of light spectrum is essential. Accordingly, we developed spectrally optimized light using programmable LED arrays (PLA)s to study the effect on algae growth and bioelectricity generation. Chlorella is a green microalga and contains chlorophyll-a (chl-a), which is the major light harvesting pigment that absorbs light in the blue and red spectrum. In this study, Chlorella is grown under a PLA which can optimally simulate the absorption spectrum of the pigments in Chlorella. This experiment investigated the growth, photosynthetic performance and bioelectricity generation of Chlorella when exposed to an optimally-tuned light spectrum. The algal BPV performed better under PLA with a peak power output of 0.581 mW m(−2) for immobilized BPV device on day 8, which is an increase of 188% compared to operation under a conventional white LED light source. The photosynthetic performance, as measured using pulse amplitude modulation (PAM) fluorometry, showed that the optimized spectrum from the PLA gave an increase of 72% in the rETRmax value (190.5 μmol electrons m(−2) s(−1)), compared with the conventional white light source. Highest algal biomass (1100 mg L(−1)) was achieved in the immobilized system on day eight, which translates to a carbon fixation of 550 mg carbon L(−1). When artificial light is used for the BPV system, it should be optimized with the light spectrum and intensity best suited to the absorption capability of the pigments in the cells. Optimum artificial light source with algal BPV device can be integrated into a power management system for low power application (eg. environment sensor for indoor agriculture system).
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spelling pubmed-75281622020-10-02 Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices Ng, Fong-Lee Phang, Siew-Moi Lan, Boon Leong Kalavally, Vineetha Thong, Cheng-Han Chong, Kian-Ted Periasamy, Vengadesh Chandrasekaran, Karthikeyan kumar, G. Gnana Yunus, Kamran Fisher, Adrian C. Sci Rep Article The biophotovoltaic cell (BPV) is deemed to be a potent green energy device as it demonstrates the generation of renewable energy from microalgae; however, inadequate electron generation from microalgae is a significant impediment for functional employment of these cells. The photosynthetic process is not only affected by the temperature, CO(2) concentration and light intensity but also the spectrum of light. Thus, a detailed understanding of the influences of light spectrum is essential. Accordingly, we developed spectrally optimized light using programmable LED arrays (PLA)s to study the effect on algae growth and bioelectricity generation. Chlorella is a green microalga and contains chlorophyll-a (chl-a), which is the major light harvesting pigment that absorbs light in the blue and red spectrum. In this study, Chlorella is grown under a PLA which can optimally simulate the absorption spectrum of the pigments in Chlorella. This experiment investigated the growth, photosynthetic performance and bioelectricity generation of Chlorella when exposed to an optimally-tuned light spectrum. The algal BPV performed better under PLA with a peak power output of 0.581 mW m(−2) for immobilized BPV device on day 8, which is an increase of 188% compared to operation under a conventional white LED light source. The photosynthetic performance, as measured using pulse amplitude modulation (PAM) fluorometry, showed that the optimized spectrum from the PLA gave an increase of 72% in the rETRmax value (190.5 μmol electrons m(−2) s(−1)), compared with the conventional white light source. Highest algal biomass (1100 mg L(−1)) was achieved in the immobilized system on day eight, which translates to a carbon fixation of 550 mg carbon L(−1). When artificial light is used for the BPV system, it should be optimized with the light spectrum and intensity best suited to the absorption capability of the pigments in the cells. Optimum artificial light source with algal BPV device can be integrated into a power management system for low power application (eg. environment sensor for indoor agriculture system). Nature Publishing Group UK 2020-09-30 /pmc/articles/PMC7528162/ /pubmed/32999346 http://dx.doi.org/10.1038/s41598-020-72823-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ng, Fong-Lee
Phang, Siew-Moi
Lan, Boon Leong
Kalavally, Vineetha
Thong, Cheng-Han
Chong, Kian-Ted
Periasamy, Vengadesh
Chandrasekaran, Karthikeyan
kumar, G. Gnana
Yunus, Kamran
Fisher, Adrian C.
Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices
title Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices
title_full Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices
title_fullStr Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices
title_full_unstemmed Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices
title_short Optimised spectral effects of programmable LED arrays (PLA)s on bioelectricity generation from algal-biophotovoltaic devices
title_sort optimised spectral effects of programmable led arrays (pla)s on bioelectricity generation from algal-biophotovoltaic devices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528162/
https://www.ncbi.nlm.nih.gov/pubmed/32999346
http://dx.doi.org/10.1038/s41598-020-72823-9
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