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Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach

The biosynthesis of calcium carbonate (CaCO(3)) minerals through a metabolic process known as microbially induced calcium carbonate precipitation (MICP) between diverse microorganisms, and organic/inorganic compounds within their immediate microenvironment, gives rise to a cementitious biomaterial t...

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Autores principales: Chin, Zheng Wei, Arumugam, Kavithraashree, Ashari, Siti Efliza, Faizal Wong, Fadzlie Wong, Tan, Joo Shun, Ariff, Arbakariya Bin, Mohamed, Mohd Shamzi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435838/
https://www.ncbi.nlm.nih.gov/pubmed/32731437
http://dx.doi.org/10.3390/molecules25153416
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author Chin, Zheng Wei
Arumugam, Kavithraashree
Ashari, Siti Efliza
Faizal Wong, Fadzlie Wong
Tan, Joo Shun
Ariff, Arbakariya Bin
Mohamed, Mohd Shamzi
author_facet Chin, Zheng Wei
Arumugam, Kavithraashree
Ashari, Siti Efliza
Faizal Wong, Fadzlie Wong
Tan, Joo Shun
Ariff, Arbakariya Bin
Mohamed, Mohd Shamzi
author_sort Chin, Zheng Wei
collection PubMed
description The biosynthesis of calcium carbonate (CaCO(3)) minerals through a metabolic process known as microbially induced calcium carbonate precipitation (MICP) between diverse microorganisms, and organic/inorganic compounds within their immediate microenvironment, gives rise to a cementitious biomaterial that may emerge as a promissory alternative to conventional cement. Among photosynthetic microalgae, Chlorella vulgaris has been identified as one of the species capable of undergoing such activity in nature. In this study, response surface technique was employed to ascertain the optimum condition for the enhancement of biomass and CaCO(3) precipitation of C. vulgaris when cultured in Blue-Green (BG)-11 aquaculture medium. Preliminary screening via Plackett–Burman Design showed that sodium nitrate (NaNO(3)), sodium acetate, and urea have a significant effect on both target responses (p < 0.05). Further refinement was conducted using Box–Behnken Design based on these three factors. The highest production of 1.517 g/L C. vulgaris biomass and 1.143 g/L of CaCO(3) precipitates was achieved with a final recipe comprising of 8.74 mM of NaNO(3), 61.40 mM of sodium acetate and 0.143 g/L of urea, respectively. Moreover, polymorphism analyses on the collected minerals through morphological examination via scanning electron microscopy and crystallographic elucidation by X-ray diffraction indicated to predominantly calcite crystalline structure.
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spelling pubmed-74358382020-08-25 Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach Chin, Zheng Wei Arumugam, Kavithraashree Ashari, Siti Efliza Faizal Wong, Fadzlie Wong Tan, Joo Shun Ariff, Arbakariya Bin Mohamed, Mohd Shamzi Molecules Article The biosynthesis of calcium carbonate (CaCO(3)) minerals through a metabolic process known as microbially induced calcium carbonate precipitation (MICP) between diverse microorganisms, and organic/inorganic compounds within their immediate microenvironment, gives rise to a cementitious biomaterial that may emerge as a promissory alternative to conventional cement. Among photosynthetic microalgae, Chlorella vulgaris has been identified as one of the species capable of undergoing such activity in nature. In this study, response surface technique was employed to ascertain the optimum condition for the enhancement of biomass and CaCO(3) precipitation of C. vulgaris when cultured in Blue-Green (BG)-11 aquaculture medium. Preliminary screening via Plackett–Burman Design showed that sodium nitrate (NaNO(3)), sodium acetate, and urea have a significant effect on both target responses (p < 0.05). Further refinement was conducted using Box–Behnken Design based on these three factors. The highest production of 1.517 g/L C. vulgaris biomass and 1.143 g/L of CaCO(3) precipitates was achieved with a final recipe comprising of 8.74 mM of NaNO(3), 61.40 mM of sodium acetate and 0.143 g/L of urea, respectively. Moreover, polymorphism analyses on the collected minerals through morphological examination via scanning electron microscopy and crystallographic elucidation by X-ray diffraction indicated to predominantly calcite crystalline structure. MDPI 2020-07-28 /pmc/articles/PMC7435838/ /pubmed/32731437 http://dx.doi.org/10.3390/molecules25153416 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chin, Zheng Wei
Arumugam, Kavithraashree
Ashari, Siti Efliza
Faizal Wong, Fadzlie Wong
Tan, Joo Shun
Ariff, Arbakariya Bin
Mohamed, Mohd Shamzi
Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach
title Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach
title_full Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach
title_fullStr Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach
title_full_unstemmed Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach
title_short Enhancement of Biomass and Calcium Carbonate Biomineralization of Chlorella vulgaris through Plackett–Burman Screening and Box–Behnken Optimization Approach
title_sort enhancement of biomass and calcium carbonate biomineralization of chlorella vulgaris through plackett–burman screening and box–behnken optimization approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435838/
https://www.ncbi.nlm.nih.gov/pubmed/32731437
http://dx.doi.org/10.3390/molecules25153416
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