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Nutrient limitation as a strategy for increasing starch accumulation in microalgae

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TLDR
In this article, the authors evaluated starch accumulation in Chlorella vulgaris P12 under different initial concentrations of nitrogen (0−2.2 ) and iron (0 −0.08 ) sources, using a central composite design (CCD) for two factors.
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This article is published in Applied Energy.The article was published on 2011-10-01 and is currently open access. It has received 332 citations till now. The article focuses on the topics: Starch & Chlorella vulgaris.

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Using recombinant cyanobacterium (Synechococcus elongatus) with increased carbohydrate productivity as feedstock for bioethanol production via separate hydrolysis and fermentation process

TL;DR: A recombinant cyanobacterium strain with increased photosynthesis rate, cell growth and carbohydrate production efficiency was genetically engineered by co-expressing ictB, ecaA, and acsAB in Synechococcus elongatus PCC7942.
Journal ArticleDOI

Assessment of membrane photobioreactor (MPBR) performance parameters and operating conditions.

TL;DR: The results demonstrate the trade-off between applying different H RTs and SRTs and the importance of fully characterising system performance to critically assess the advantages and limitations of chosen operating conditions.
Journal ArticleDOI

Effect of Nutrient Starvation under High Irradiance on Lipid and Starch Accumulation in Chlorella fusca (Chlorophyta)

TL;DR: The results showed that biomass of C. fusca could enrich biomass in lipids using a two-stage strategy (a nutrient replete stage followed by gradual nutrient limitation) while under either procedure, N- or S-starvation, both high lipid and starch contents could be achieved.
Journal ArticleDOI

Enhancing lutein production with Chlorella sorokiniana Mb-1 by optimizing acetate and nitrate concentrations under mixotrophic growth

TL;DR: Lutein production from microalgae with mixotrophic cultivation is demonstrated and is verified by experiments indicating that lutein productivity could be enhanced from 2.79 mg/L/day to 3.97 mg/ L/day (42% enhancement) via optimizing the carbon and nitrogen sources in theMixotrophic culture medium.
Journal ArticleDOI

Three-stage gaseous biofuel production combining dark hydrogen, photo hydrogen, and methane fermentation using wet Arthrospira platensis cultivated under high CO2 and sodium stress

TL;DR: In this paper, an integrated process involving cyanobacterium cultivation and three-stage fermentation was investigated to efficiently produce gaseous biofuels, where the content and concentration of total carbohydrates in Arthrospira platensis biomass were remarkably enhanced through nutrient adjustments.
References
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Journal ArticleDOI

Second generation biofuels: high-efficiency microalgae for biodiesel production

TL;DR: A review of second generation biodiesel production systems using microalgae can be found in this paper, where the main advantages of second-generation microalgal systems are that they: (1) have a higher photon conversion efficiency (as evidenced by increased biomass yields per hectare): (2) can be harvested batch-wise nearly all-year-round, providing a reliable and continuous supply of oil: (3) can utilize salt and waste water streams, thereby greatly reducing freshwater use: (4) can couple CO2-neutral fuel production with CO2 sequestration: (
Journal ArticleDOI

Biodiesel from microalgae beats bioethanol.

TL;DR: Biodiesel from microalgae seems to be the only renewable biofuel that has the potential to completely displace petroleum-derived transport fuels without adversely affecting supply of food and other crop products.
Book

Algal culturing techniques

TL;DR: Cultures as a Means of Protecting Biological Resources: Ex-situ Conservation of Threatened Algal Species and Endogenous Rhythms and Daylength Effects in Macroalgal Development.
Journal ArticleDOI

Biodiesel Production by Microalgal Biotechnology

TL;DR: An overview of the technologies in the production of biodiesel from microalgae, including the various modes of cultivation for theproduction of oil-rich microalgal biomass, as well as the subsequent downstream processing for biodiesel production is provided.
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Frequently Asked Questions (15)
Q1. What are the contributions mentioned in the paper "Nutrient limitation as a strategy for increasing starch accumulation in microalgae" ?

This work evaluated starch accumulation in Chlorella vulgaris P12 under different initial concentrations of nitrogen ( 0–2. 2 g urea L ) and iron ( 0– 0. 08 g FeNa-EDTA L ) sources, using a central composite design ( CCD ) for two factors. Since accumulation of starch occurred at nitrogen depletion conditions under which the cell growth was much slower than that observed during nitrogen supplemented cultivations, a two-stage cultivation process for high starch accumulation ( > 40 % ) and cell growth of C. vulgaris was proposed: a first cultivation stage using nitrogenand iron-supplemented medium ( initial urea and FeNa-EDTA concentrations of 1. 1 and 0. 08 g L, respectively ), followed by a second cultivation stage in a nitrogenand iron-free medium. The high starch content obtained suggests C. vulgaris P12 as a very promising feedstock for bioethanol production. 

Since accumulation of starch occurred at nitrogen depletion conditions under which the cell growth was much slower than that observed during nitrogen supplemented cultivations, compromising between increasing starch content and cell growth will be necessary in order to attain high values of both biomass concentration and starch productivity. 

The increasing competition with agriculture for cultivable land used for food production has been considered one of the most common concerns related to current first generation biofuels [3,4]. 

The reliance of the global economy on fossil-derived fuels, coupled with the increasing energy demand in emerging countries (e.g. India and China) and the geo-political instability in some world’s oil-producing regions, have led to soaring petroleum prices in the last years. 

microalgae growth depends not only on an adequate supply of essential macronutrient elements (carbon, nitrogen, phosphorus, silicon) and major ions (Mg2+, Ca2+, Cl , and SO2 4 ) but also on a number of micronutrient metals such as iron, manganese, zinc, cobalt, copper, and molybdenum [12]. 

The carbon source and agitation during cultivation of microalgae were supplied by bubbling CO2-enriched air (2% v/v CO2) through a tube (inner diameter, 2 mm) that ended near the bottom of the column, at an aeration rate of 0.833 vvm (volume of gases per volume of culture suspension per minute). 

The results described above hint that the optimum concentration of urea required for the growth of microalgae was 1.1 g L 1, while the lowest concentrations of nitrogen and iron sources led to the highest starch productivity (0.199 g L 1 day 1). 

Due to the large differences observed in the amount of starch produced by C. vulgaris strain P12, a statistical analysis was carried out aiming at identifying which independent variable had significant influence on starch accumulation. 

The property of rotatability developed for CCD requires the variance of estimated values to be constant at points equally distant from the center of design [18]. 

The highest starch contents (41.0%, 40.5% and 39.8%) were obtained under nitrogen-deprived conditions (initial urea concentration = 0 g L 1) and initial FeNa-EDTA concentrations of 0.04, 0 and 0.08 g L 1, respectively (Runs 5, 1 and 2). 

In this work, starch content of freshwater microalga C. vulgaris strain P12 reached up to 41.0% of dry cell weight, which was 8-fold higher than the control (central points of the experimental design). 

The initial iron source concentration did not present a statistically significant effect on starch content, implying that chelatedFe(III) did not affect the starch accumulation in C. vulgaris. 

The statistical analysis of the results was carried out with the Experimental Design Module of the software Statistica 8.0 (Statsoft, USA). 

The relation between independent variables and starch content in C. vulgaris can be best visualized by examining the surface plot presented in Fig. 1.Fig. 1 clearly shows that decreasing initial urea concentration resulted in higher starch accumulation, with maxima values (P40%) being achieved under the minimum urea concentration (0 mg L 1). 

regression analysis were effective in identifying the optimal conditions for maximum accumulation of microalgal starch for the different nutritional conditions.