Beyond linear regression: Modeling COVID-19 clinical cases with wastewater surveillance of SARS-CoV-2 for the city of Athens and Ohio University campus.

Wastewater-based surveillance has emerged as a detection tool for population-wide infectious diseases, including coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Infected individuals shed the virus, which can be detected in wastewater using molecular techniques such as reverse transcription-digital polymerase chain reaction (RT-dPCR). This study examined the association between the number of clinical cases and the concentration of SARS-CoV-2 in wastewater beyond linear regression and for various normalizations of viral loads.

Lipid Extraction from sp. and sp. Using Supercritical CO with Methanol.

Microalgae are one of the most promising feedstocks for biodiesel production due to their high lipid content and easy farming. However, the extraction of lipids from microalgae is energy intensive and costly and involves the use of toxic organic solvents. Compared with organic solvent extraction, supercritical CO (SCCO) has demonstrated advantages through lower toxicity and no solvent-liquid separation.

Investigation of electrolytic flocculation for microalga sp. using aluminum and graphite electrodes.

Electrolytic flocculation using non-sacrificial electrodes with flocculants added was studied on harvesting sp. In order to optimize the operating conditions of the electrolytic flocculation process and to quantify the amount of flocculants added, aluminum electrodes were first used in the process. It was found that under optimal conditions, the microalgae removal efficiency using aluminum electrodes could reach 98.

Cultivation of Scenedesmus dimorphus using anaerobic digestate as a nutrient medium.

In this study, the microalga Scenedesmus dimorphus was cultivated phototrophically using unsterilized anaerobic digestate as a nutrient medium. A bench-scale experiment was conducted by inoculating the microalga S. dimorphus with 0.

Growth optimization of algae for biodiesel production.

Aims: Algae are favourable as a biofuel source because of the potential high oil content and fast generation of biomass. However, one of the challenges for this technology is achieving high oil content while maintaining exponential or high growth of the organism. Introducing a two-stage reactor to optimize both growth and oil content of the algae could be a solution to this hurdle.

Role of sulfur-reducing bacteria in a wetland system treating acid mine drainage.

This report describes a twenty month case study of a successive alkalinity producing system (SAPS) treating a strong acid mine drainage (AMD) source in Coshocton County, Ohio. Prior to the commencement of the project, a large volume of black amorphous sludge had accumulated in several of the constructed wetlands. The sludge was found to be 43% organic, with very high concentrations of sulfur, iron, aluminum, and acidity.

Phytotreatment of propellant contamination.

Nitroglycerine (NG) and 2,4-dinitrotoluene (2,4-DNT) are propellants often found in soil and groundwater at military firing ranges. Because of the need for training with live ammunition, control or cleanup of these contaminants may be necessary for the continued use of these firing ranges. One inexpensive approach for managing sites exposed to these contaminants is the use phytoremedation, particularly using common or native grasses.

Capillary electrophoresis single-strand conformation polymorphism analysis for monitoring soil bacteria.

The ability to effectively monitor a microbial community is necessary to design and implement remediation strategies for contaminated soil. Single-strand conformation polymorphism (SSCP), a technique which separates DNA fragments based on their sequence, was used to analyze amplified 16S rRNA gene fragments of 12 common soil bacteria. Separation was performed using capillary electrophoresis (CE), as opposed to other common gel techniques, to eliminate the need for band analysis on gel matrices.

Comparison of a type curve and a least-squared errors method to estimate biofilm kinetic parameters.

Because of the kinetics of diffusion limitation and the difficulty of replicating biofilm structure in a test vessel, biokinetic parameters of substrate consumption (maximum specific substrate removal rate, qm and half-maximum removal coefficient, Ks) are particularly difficult to measure in biofilm reactors. In this research, a type curve method using load-shift experiments was compared to a method using a least-squared errors (LSE) routine. More accurate and precise estimates were obtained with the LSE routine than with the type curve method by removing subjectivity from the estimation process.

NAD(P)H:flavin mononucleotide oxidoreductase inactivation during 2,4,6-trinitrotoluene reduction.

Bacteria readily transform 2,4,6-trinitrotoluene (TNT), a contaminant frequently found at military bases and munitions production facilities, by reduction of the nitro group substituents. In this work, the kinetics of nitroreduction were investigated by using a model nitroreductase, NAD(P)H:flavin mononucleotide (FMN) oxidoreductase. Under mediation by NAD(P)H:FMN oxidoreductase, TNT rapidly reacted with NADH to form 2-hydroxylamino-4,6-dinitrotoluene and 4-hydroxylamino-2,6-dinitrotoluene, whereas 2-amino-4,6-dinitrotoluene and 4-amino-2,6-dinitrotoluene were not produced.