logo
ResearchBunny Logo
Abstract
Flow virometry (FVM) offers near real-time viral water quality information, crucial for advanced water treatment and reuse. This study optimizes FVM protocols for T4 bacteriophage detection using a fractional factorial design, improving upon existing methods. It also explores density-based clustering (OPTICS algorithm) for automated data analysis, comparing it to manual gating. The optimized protocol and automated analysis pipeline, demonstrated on wastewater samples, enhance FVM's reliability and efficiency for microbial water quality monitoring.
Publisher
npj Clean Water
Published On
Apr 04, 2023
Authors
Hannah R. Safford, Melis M. Johnson, Heather N. Bischel
Tags
flow virometry
water quality
T4 bacteriophage
automated analysis
microbial monitoring
density-based clustering
wastewater

Related Publications

Explore these studies to deepen your understanding of the subject.

Evaluating the effectiveness of the Kidogo model in empowering women and strengthening their capacities to engage in paid labor opportunities through the provision of quality childcare: a study protocol for an exploratory study in Nakuru County, Kenya
Social Work

Evaluating the effectiveness of the Kidogo model in empowering women and strengthening their capacities to engage in paid labor opportunities through the provision of quality childcare: a study protocol for an exploratory study in Nakuru County, Kenya

K. Okelo, M. Nampijja, et al.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

A recursive bifurcation model for early forecasting of COVID-19 virus spread in South Korea and Germany
Medicine and Health

A recursive bifurcation model for early forecasting of COVID-19 virus spread in South Korea and Germany

J. Shen

Validity of Scottish predictors of child obesity (age 12) for risk screening in mid-childhood: a secondary analysis of prospective cohort study data—with sensitivity analyses for settings without various routinely collected predictor variables
Medicine and Health

Validity of Scottish predictors of child obesity (age 12) for risk screening in mid-childhood: a secondary analysis of prospective cohort study data—with sensitivity analyses for settings without various routinely collected predictor variables

G. Carrillo-balam, L. Doi, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny