2016
DOI: 10.1016/j.enconman.2016.06.060
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Biomass production and nutrient assimilation by a novel microalga, Monoraphidium spp. SDEC-17, cultivated in a high-ammonia wastewater

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Cited by 44 publications
(5 citation statements)
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“…Monoraphidium spp. SDEC-17, which can endure high-ammoniacal nitrogen conditions (>170 mg L −1 ), represents a promising candidate for algal biomass production and chemical energy recovery from complex wastewater (Jiang et al, 2016). However, besides high tolerance to ammonium nitrogen, both high nitrogen utilization efficiency and high growth rate are also deciding factors in algal bioremediation of ammonium nitrogen from wastewater.…”
Section: Discussionmentioning
confidence: 99%
“…Monoraphidium spp. SDEC-17, which can endure high-ammoniacal nitrogen conditions (>170 mg L −1 ), represents a promising candidate for algal biomass production and chemical energy recovery from complex wastewater (Jiang et al, 2016). However, besides high tolerance to ammonium nitrogen, both high nitrogen utilization efficiency and high growth rate are also deciding factors in algal bioremediation of ammonium nitrogen from wastewater.…”
Section: Discussionmentioning
confidence: 99%
“…Lipids were always the least abundant macronutrient in the collected biomass which is probably related with the fact that wastewater is rich in nitrogen, therefore leading to a biomass richer in protein. Jiang et al (2016) also observed an increase in the protein levels when the microalga Monoraphidium spp. SDEC-1 was cultivated in ammonia-rich wastewater (from 35% in BG-11 to 44% in wastewater).…”
Section: Biomass Chemical Characteristics and Possible Applicationmentioning
confidence: 76%
“…For simulating algae growth, the Verhulst logistic kinetic model was used as the previous report did [32] and the equation was shown below:where X is the concentration of dry algal biomass (g L −1 ); X max is the maximum algae biomass concentration (g L −1 ); m is a constant in the logistic model indicating the relative position from the origin; μ is the specific growth rate (d −1 ); and t represents the culture time ( d ).…”
Section: Methodsmentioning
confidence: 99%