A5102958425- SARS-CoV-2 detection and testing
- Biosensors and Analytical Detection
- SARS-CoV-2 and COVID-19 Research
- Advanced biosensing and bioanalysis techniques
- Water Quality Monitoring Technologies
- Advanced Chemical Sensor Technologies
- Recycling and Waste Management Techniques
- COVID-19 diagnosis using AI
- Microbial Community Ecology and Physiology
- Microbial bioremediation and biosurfactants
- Genomics and Phylogenetic Studies
- RNA Interference and Gene Delivery
- Water Systems and Optimization
- Advanced Polymer Synthesis and Characterization
- Membrane Separation Technologies
Stanford University
2020-2023
Seoul National University
2013
Wastewater-based epidemiology may be useful for informing public health response to viral diseases like COVID-19 caused by SARS-CoV-2. We quantified SARS-CoV-2 RNA in wastewater influent and primary settled solids two treatment plants inform the preanalytical analytical approaches assess whether or harbored more targets. The samples resulted higher detection frequencies than corresponding samples. Likewise, was readily detected using one-step digital droplet (dd)RT-PCR with two-step RT-QPCR...
Published and unpublished reports show that SARS-CoV-2 RNA in publicly owned treatment work (POTW) wastewater influent solids is associated with new COVID-19 cases or incidence sewersheds, but methods for comparing data collected from diverse POTWs to infer information about the relative of laboratory-confirmed cases, scaling allow such comparisons, have not been previously established. Here, we N1 N2 concentrations normalized by PMMoV can be used compare laboratory confirmed across POTWs....
We compared SARS-CoV-2 RNA concentrations in primary settled solids and raw wastewater samples matched date to investigate the relationship between two matrices.
Effective methods for simultaneously measuring viral, bacterial, protozoan, and fungal pathogens in wastewater are needed. Here, we investigate how sample type nucleic acid extraction protocols affect broad-range pathogen detection. We compared analyzing solids whole influent by dPCR detection of spiked endogenous targets including DNA RNA viruses (mpox, norovirus, SARS-CoV-2), bacteria (Clostridium difficile, Campylobacter jejuni), protozoa (Cryptosporidium spp.), fungi (Candida auris),...
Monitoring wastewater for SARS-CoV-2 from populations smaller than those served by treatment plants may help identify small spatial areas (subsewersheds) where COVID-19 infections are present. We sampled three nested locations with different sized within the same sewer network at a university campus and quantified RNA using reverse transcriptase droplet digital polymerase chain reaction (PCR). concentrations and/or normalized PMMoV were positively associated laboratory-confirmed cases both...
Background Wastewater measurements of SARS-CoV-2 RNA have been extensively used to supplement clinical data on COVID-19. Most examples in the literature that describe wastewater monitoring for use samples from treatment plants and individual buildings serve as primary residence community members. However, surveillance can be an attractive testing K-12 schools where individuals only spend a portion their time but interact with others close proximity, increasing risk potential transmission...
Abstract Wastewater-based epidemiology has gained attention throughout the world for detection of SARS-CoV-2 RNA in wastewater to supplement clinical testing. Methods have been developed using both liquid and solid fraction wastewater, with some studies reporting higher concentrations solids. To investigate this relationship further, we collaborated six other laboratories conduct a study across five publicly owned treatment works (POTWs) where primary solids raw influent samples were...
Abstract Wastewater-based epidemiology (WBE) may be useful for informing public health response to viral diseases like COVID-19 caused by SARS-CoV-2. We quantified SARS-CoV-2 RNA in wastewater influent and primary settled solids two treatment plants inform the pre-analytical analytical approaches, assess whether or harbored more targets. The samples resulted higher detection frequencies than corresponding samples. Likewise, was readily detected using one-step digital droplet (dd)RT-PCR with...
Abstract We developed and implemented a framework for examining how molecular assay sensitivity viral RNA genome target affects its utility wastewater-based epidemiology. applied this to digital droplet RT-PCR measurements of SARS-CoV-2 Pepper Mild Mottle Virus genes made using 10 replicate wells, determined fewer wells affected performance epidemiology applications. used computational, downsampling approach. When percent positive droplets was between 0.024% 0.5% (as the case during Delta...
We developed and implemented a framework for examining how molecular assay sensitivity viral RNA genome target affects its utility wastewater-based epidemiology. applied this to digital droplet RT-PCR measurements of SARS-CoV-2 Pepper Mild Mottle Virus genes in wastewater. Measurements were made using 10 replicate wells which allowed high sensitivity, therefore enabled detection even when COVID-19 incidence rates relatively low (~10 −5 ). then used computational downsampling approach...
Pseudomonas stutzeri KC can rapidly degrade carbon tetrachloride (CCl4) to CO2 by a fortuitous reaction with pyridine-2,6-bis(thiocarboxylic acid), metal chelator encoded pdt genes. These genes were first identified after spontaneous mutant, strain CTN1, lost the ability CCl4. Here we report complete genome of and show that these are located on an integrative conjugative element (ICE), designated ICEPsstKC. Comparative analyses revealed homologues in genomes members other...
Abstract Background Wastewater measurements of SARS-CoV-2 RNA have been extensively used to supplement clinical data on COVID-19. Most examples in the literature that describe wastewater monitoring for use samples from treatment plants and individual buildings serve as primary residence community members. However, surveillance can be an attractive testing K-12 schools where individuals only spend a portion their time but interact with others close proximity, increasing risk potential...