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1.
Environ Sci (Camb) ; 7: 504-520, 2021 Jan 20.
Artigo em Inglês | MEDLINE | ID: mdl-34017594

RESUMO

In response to COVID-19, the international water community rapidly developed methods to quantify the SARS-CoV-2 genetic signal in untreated wastewater. Wastewater surveillance using such methods has the potential to complement clinical testing in assessing community health. This interlaboratory assessment evaluated the reproducibility and sensitivity of 36 standard operating procedures (SOPs), divided into eight method groups based on sample concentration approach and whether solids were removed. Two raw wastewater samples were collected in August 2020, amended with a matrix spike (betacoronavirus OC43), and distributed to 32 laboratories across the U.S. Replicate samples analyzed in accordance with the project's quality assurance plan showed high reproducibility across the 36 SOPs: 80% of the recovery-corrected results fell within a band of ±1.15 log10 genome copies per L with higher reproducibility observed within a single SOP (standard deviation of 0.13 log10). The inclusion of a solids removal step and the selection of a concentration method did not show a clear, systematic impact on the recovery-corrected results. Other methodological variations (e.g., pasteurization, primer set selection, and use of RT-qPCR or RT-dPCR platforms) generally resulted in small differences compared to other sources of variability. These findings suggest that a variety of methods are capable of producing reproducible results, though the same SOP or laboratory should be selected to track SARS-CoV-2 trends at a given facility. The methods showed a 7 log10 range of recovery efficiency and limit of detection highlighting the importance of recovery correction and the need to consider method sensitivity when selecting methods for wastewater surveillance.

2.
ACS Nano ; 9(10): 9930-41, 2015 Oct 27.
Artigo em Inglês | MEDLINE | ID: mdl-26422748

RESUMO

Oil/water separations have become an area of great interest, as growing oil extraction activities are increasing the generation of oily wastewaters as well as increasing the risk of oil spills. Here, we demonstrate a membrane-based and fouling-free oil/water separation method that couples carbon nanotube-poly(vinyl alcohol) underwater superoleophobic ultrafiltration membranes with magnetic Pickering emulsions. We demonstrate that this process is insensitive to low water temperatures, high ionic strength, or crude oil loading, while allowing operation at high permeate fluxes and producing high quality permeate. Furthermore, we develop a theoretical framework that analyzes the stability of Pickering emulsions under filtration mechanics, relating membrane surface properties and hydrodynamic conditions in the Pickering emulsion cake layer to membrane performance. Finally, we demonstrate the recovery and recyclability of the nanomagnetite used to form the Pickering emulsions through a magnetic separation step, resulting in an environmentally friendly, continuous process for oil/water separation.

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