Biodiesel yields and fuel quality as criteria for algal-feedstock selection: Effects of CO2-supplementation and nutrient levels in cultures

Nascimento, Iracema Andrade; Cabanelas, Iago Teles Dominguez; Santos, Jacson Nunes dos; Nascimento, Maurício Andrade; Sousa, Leandro J.; Sansone, Giovanni

doi:10.1016/j.algal.2015.01.001

Cited by 66 publications

(36 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The respective analyses were executed using the same constraints. The CO 2 uptake rates were plotted using MATLAB; the experimental CO 2 uptake rates reported by Nascimento et al (2015) were used to validate the simulated results.…”

Section: Robustness and Shadow Pricesmentioning

confidence: 99%

Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions

Zuñiga

Huelsman

et al. 2016

Plant Physiol.

View full text Add to dashboard Cite

The green microalga Chlorella vulgaris has been widely recognized as a promising candidate for biofuel production due to its ability to store high lipid content and its natural metabolic versatility. Compartmentalized genome-scale metabolic models constructed from genome sequences enable quantitative insight into the transport and metabolism of compounds within a target organism. These metabolic models have long been utilized to generate optimized design strategies for an improved production process. Here, we describe the reconstruction, validation, and application of a genome-scale metabolic model for C. vulgaris UTEX 395, iCZ843. The reconstruction represents the most comprehensive model for any eukaryotic photosynthetic organism to date, based on the genome size and number of genes in the reconstruction. The highly curated model accurately predicts phenotypes under photoautotrophic, heterotrophic, and mixotrophic conditions. The model was validated against experimental data and lays the foundation for model-driven strain design and medium alteration to improve yield. Calculated flux distributions under different trophic conditions show that a number of key pathways are affected by nitrogen starvation conditions, including central carbon metabolism and amino acid, nucleotide, and pigment biosynthetic pathways. Furthermore, model prediction of growth rates under various medium compositions and subsequent experimental validation showed an increased growth rate with the addition of tryptophan and methionine.

show abstract

Section: Robustness and Shadow Pricesmentioning

confidence: 99%

Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions

Zuñiga

Huelsman

et al. 2016

Plant Physiol.

View full text Add to dashboard Cite

show abstract

“…These resources are totally restricted and cannot be reconstructed in a short period of time while 85 % of global consumption is provided by fossil fuels and nonrenewable energy sources [1]. With increasing demand for energy and stringent environmental rules and also concern about global warming due to industrial developments, researchers are looking for alternative and renewable energy sources instead of fossil fuels to overcome the challenges of fossil fuel combustion problems in near future [2,3]. Biodiesel, is a renewable energy source which is a suitable alternative for fossil fuels as it has less sulfur content, carbon-free, renewable [4], non-toxic and biodegradable [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Biodiesel Production from Goat Tallow Using Alkaline Catalysts and Combining them with Diesel

Esmaeili¹,

Foroutan²

2018

ChChT

View full text Add to dashboard Cite

Abstract.1 In this research biodiesel is produced from goat tallow in the presence of homogenous catalysts such as KOH and NaOH using trans-esterification process. For this purpose, effect of several parameters such as temperature, reaction time, methanol to oil ratio, type and concentration of a catalyst has been investigated. The results showed that the maximum biodiesel yield (96 and 98 %) was obtained using NaOH and KOH, respectively, and optimal conditions were determined. Also, to improve some properties of biodiesel, biodiesel was mixed with diesel at different ratio (B5-B100) and their properties such as flash point, cloud point, pour point, viscosity and density were measured. It was found that the properties of produced biodiesel is in the range of standard and can be used as a biofuel.

show abstract

“…Microalgae appear as potential feedstock for biofuels production, due to their higher productivity, and higher carbon capture and sequestration (CCS), when compared to terrestrial crops (Delrue et al, 2012;Moncada et al, 2014;Nascimento et al, 2015Nascimento et al, , 2014.The cultivation of algal biomass does not compete for arable land with other cultures, in particular, food production (Naik et al, 2010). Furthermore, algae can be cultivated in a wide range of aquatic environments such as fresh water, salt water, or wastewater with high organic loads (Mata et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Reducing the life cycle GHG emissions of microalgal biodiesel through integration with ethanol production system

Maranduba

Robra

Nascimento

et al. 2015

Bioresource Technology

Self Cite

View full text Add to dashboard Cite

Despite environmental benefits of algal-biofuels, the energy-intensive systems for producing microalgae-feedstock may result in high GHG emissions. Trying to overcome energy-costs, this research analyzed the biodiesel production system via dry-route, based on Chlorella vulgaris cultivated in raceways, by comparing the GHG-footprints of diverse microalgae-biodiesel scenarios. These involved: the single system of biomass production (C0); the application of pyrolysis on the residual microalgal biomass (cake) from the oil extraction process (C1); the same as C0, with anaerobic cake co-digested with cattle manure (C2); the same conditions as in C1 and C2, by integrating in both cases (respectively C3 and C4), the microalgae cultivation with an autonomous ethanol distillery. The reduction of GHG emissions in scenarios with no such integration (C1 and C2), compared to CO, was insignificant (0.53% and 4.67%, respectively), whereas in the scenarios with integration with ethanol production system, the improvements were 53.57% for C3 and 63.84% for C4.

show abstract

Biodiesel yields and fuel quality as criteria for algal-feedstock selection: Effects of CO2-supplementation and nutrient levels in cultures

Cited by 66 publications

References 55 publications

Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions

Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions

Optimization of Biodiesel Production from Goat Tallow Using Alkaline Catalysts and Combining them with Diesel

Reducing the life cycle GHG emissions of microalgal biodiesel through integration with ethanol production system

Contact Info

Product

Resources

About