Analysis of very-high surface area 3D-printed media in a moving bed biofilm reactor for wastewater treatment
PLoS ONE, ISSN: 1932-6203, Vol: 15, Issue: 8 August, Page: e0238386
2020
- 18Citations
- 195Usage
- 78Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations18
- Citation Indexes18
- 18
- Usage195
- Downloads187
- Abstract Views8
- Captures78
- Readers78
- 78
Article Description
Moving Bed Biofilm Reactors (MBBRs) can efficiently treat wastewater by incorporating suspended biocarriers that provide attachment surfaces for active microorganisms. The performance of MBBRs for wastewater treatment is, among other factors, contingent upon the characteristics of the surface area of the biocarriers. Thus, novel biocarrier topology designs can potentially increase MBBR performance in a significant manner. The goal of this work is to assess the performance of 3-D-printed biofilter media biocarriers with varying surface area designs for use in nitrifying MBBRs for wastewater treatment. Mathematical models, rendering, and 3D printing were used to design and fabricate gyroid-shaped biocarriers with a high degree of complexity at three different levels of specific surface area (SSA), generally providing greater specific surface areas than currently available commercial designs. The biocarriers were inoculated with a nitrifying bacteria community, and tested in a series of batch reactors for ammonia conversion to nitrate, in three different experimental configurations: constant fill ratio, constant total surface area, and constant biocarrier media count. Results showed that large and medium SSA gyroid biocarriers delivered the best ammonia conversion performance of all designs, and significantly better than that of a standard commercial design. The percentage of ammonia nitrogen conversion at 8 hours for the best performing biocarrier design was: 99.33% (large SSA gyroid, constant fill ratio), 94.74% (medium SSA gyroid, constant total surface area), and 92.73% (large SSA gyroid, constant biocarrier media count). Additionally, it is shown that the ammonia conversion performance was correlated to the specific surface area of the biocarrier, with the greatest rates of ammonia conversion (99.33%) and nitrate production (2.7 mg/L) for manufactured gyroid biocarriers with a specific surface area greater than 1980.5 m/m. The results suggest that the performance of commercial MBBRs for wastewater treatment can be greatly improved by manipulation of media design through topology optimization.
Bibliographic Details
10.1371/journal.pone.0238386; 10.1371/journal.pone.0238386.g001; 10.1371/journal.pone.0238386.g006; 10.1371/journal.pone.0238386.t003; 10.1371/journal.pone.0238386.g002; 10.1371/journal.pone.0238386.t004; 10.1371/journal.pone.0238386.g003; 10.1371/journal.pone.0238386.t002; 10.1371/journal.pone.0238386.g004; 10.1371/journal.pone.0238386.t001; 10.1371/journal.pone.0238386.g005
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85090018852&origin=inward; http://dx.doi.org/10.1371/journal.pone.0238386; http://www.ncbi.nlm.nih.gov/pubmed/32853235; https://dx.plos.org/10.1371/journal.pone.0238386.g001; http://dx.doi.org/10.1371/journal.pone.0238386.g001; https://dx.plos.org/10.1371/journal.pone.0238386.g006; http://dx.doi.org/10.1371/journal.pone.0238386.g006; https://dx.plos.org/10.1371/journal.pone.0238386; https://dx.plos.org/10.1371/journal.pone.0238386.t003; http://dx.doi.org/10.1371/journal.pone.0238386.t003; https://dx.plos.org/10.1371/journal.pone.0238386.g002; http://dx.doi.org/10.1371/journal.pone.0238386.g002; https://dx.plos.org/10.1371/journal.pone.0238386.t004; http://dx.doi.org/10.1371/journal.pone.0238386.t004; https://dx.plos.org/10.1371/journal.pone.0238386.g003; http://dx.doi.org/10.1371/journal.pone.0238386.g003; https://dx.plos.org/10.1371/journal.pone.0238386.t002; http://dx.doi.org/10.1371/journal.pone.0238386.t002; https://dx.plos.org/10.1371/journal.pone.0238386.g004; http://dx.doi.org/10.1371/journal.pone.0238386.g004; https://dx.plos.org/10.1371/journal.pone.0238386.t001; http://dx.doi.org/10.1371/journal.pone.0238386.t001; https://dx.plos.org/10.1371/journal.pone.0238386.g005; http://dx.doi.org/10.1371/journal.pone.0238386.g005; https://digitalcommons.fairfield.edu/engineering-facultypubs/236; https://digitalcommons.fairfield.edu/cgi/viewcontent.cgi?article=1237&context=engineering-facultypubs; https://dx.doi.org/10.1371/journal.pone.0238386.t002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.t002; https://dx.doi.org/10.1371/journal.pone.0238386.g003; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.g003; https://dx.doi.org/10.1371/journal.pone.0238386.g001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.g001; https://dx.doi.org/10.1371/journal.pone.0238386.g002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.g002; https://dx.doi.org/10.1371/journal.pone.0238386.g005; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.g005; https://dx.doi.org/10.1371/journal.pone.0238386.g006; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.g006; https://dx.doi.org/10.1371/journal.pone.0238386.g004; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.g004; https://dx.doi.org/10.1371/journal.pone.0238386.t001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.t001; https://dx.doi.org/10.1371/journal.pone.0238386.t004; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.t004; https://dx.doi.org/10.1371/journal.pone.0238386; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0238386; https://dx.doi.org/10.1371/journal.pone.0238386.t003; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0238386.t003; https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0238386&type=printable
Public Library of Science (PLoS)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know