4 research outputs found

    Microbial Water Quality through a Full-Scale Advanced Wastewater Treatment Demonstration Facility

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    The fates of viruses, bacteria, and antibiotic resistance genes during advanced wastewater treatment are important to assess for implementation of potable reuse systems. Here, a full-scale advanced wastewater treatment demonstration facility (ozone, biological activated carbon filtration, micro/ultrafiltration, reverse osmosis, and advanced oxidation) was sampled over three months. Atypically, no disinfectant residual was applied before the microfiltration step. Microbial cell concentrations and viability were assessed via flow cytometry and adenosine triphosphate (ATP). Concentrations of bacteria (16S rRNA gene), viruses (human adenovirus and JC polyomavirus), and antibiotic resistance genes (sul1 and blaTEM) were assessed via quantitative PCR following the concentration of large sample volumes by dead-end ultrafiltration. In all membrane filtration permeates, microbial concentrations were higher than previously reported for chloraminated membranes, and log10 reduction values were lower than expected. Concentrations of 16S rRNA and sul1 genes were reduced by treatment but remained quantifiable in reverse osmosis permeate. It is unclear whether sul1 in the RO permeate was from the passage of resistance genes or new growth of microorganisms, but the concentrations were on the low end of those reported for conventional drinking water distribution systems. Adenovirus, JC polyomavirus, and blaTEM genes were reduced below the limit of detection (∼10–2 gene copies per mL) by microfiltration. The results provide insights into how treatment train design and operation choices affect microbial water quality as well as the use of flow cytometry and ATP for online monitoring and process control

    Data and Code for Hungry Caterpillars

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    An archive folder containing the 54 files needed to reproduce the results and figures reported in 'Varyingly Hungry Caterpillars: Predictive Models and Foliar Chemistry Suggest How to Eat a Rainforest'. The folder includes both raw data and files for analysis and one README file. Each file is described in the README file and is presented in the same order as in the R file containing the script necessary for the analyses
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