| Title |
Algae-based biofilm productivity utilizing dairy wastewater: effects of temperature and organic carbon concentration
|
|---|---|
| Published in |
Journal of Biological Engineering, December 2016
|
| DOI | 10.1186/s13036-016-0039-y |
| Pubmed ID | |
| Authors |
Zachary T. Fica, Ronald C. Sims |
| Abstract |
Biofilm-based microalgal growth was determined as functions of organic chemical loading and water temperature utilizing dairy wastewater from a full-scale dairy farm. The dairy industry is a significant source of wastewater worldwide that could provide an inexpensive and nutrient rich feedstock for the cultivation of algae biomass for use in downstream processing of animal feed and aquaculture applications. Algal biomass was cultivated using a Rotating Algal Biofilm Reactor (RABR) system. The RABR is a biofilm-based technology that has been designed and used to remediate municipal wastewater and was applied to treat dairy wastewater through nutrient uptake, and simultaneously provide biomass for the production of renewable bioproducts. Aerial algal biofilm growth rates in dairy wastewater at 7 and 27 °C temperatures were shown to be 4.55 ± 0.17 g/m(2)-day and 7.57 ± 1.12 g/m(2)-day ash free dry weight (AFDW), respectively. Analysis of Variance (ANOVA) calculations indicated that both an increase in temperature of the wastewater and an increase in the level of organic carbon, from 300 to 1200 mg L(-1), contributed significantly to an increase in the rate of biomass growth in the system. However, ANOVA results indicated that the interaction of temperature and organic carbon content was not significantly related to the biofilm-based growth rate. A microalgae-based biofilm reactor was successfully used to treat turbid dairy wastewater. Temperature and organic carbon concentration had a statistically significant effect on algae-based biofilm productivity and treatment of dairy wastewater. The relationships between temperature, TOC, and productivity developed in this study may be used in the design and assessment of wastewater remediation systems and biomass production systems utilizing algae-based biofilm reactors for treating dairy wastes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 89 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 13 | 14% |
| Researcher | 11 | 12% |
| Unspecified | 8 | 9% |
| Other | 15 | 17% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 23% |
| Environmental Science | 14 | 16% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Unspecified | 8 | 9% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 21 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2016.
All research outputs
#14,291,016
of 22,914,829 outputs
Outputs from Journal of Biological Engineering
#169
of 262 outputs
Outputs of similar age
#229,102
of 420,880 outputs
Outputs of similar age from Journal of Biological Engineering
#4
of 7 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 262 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,880 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.