Resource recovery technologies as microbial risk barriers: towards safe use of excreta in agriculture based on hazard analysis and critical control point

03/08/2023

The following paper was accepted by Environmental Science: Water Research & Technology.

Resource recovery technologies as microbial risk barriers: towards safe use of excreta in agriculture based on hazard analysis and critical control point
Wakana Oishi, Björn Vinnerås, Daisuke Sano
Environmental Science: Water Research & Technology, 2023
DOI: 10.1039/D2EW00832G

COVID-19 case prediction via wastewater surveillance in a low-prevalence urban community: a modeling approach

A review article on the dissemination of antibiotic resistance genes in the aquatic environment has been published

06/19/2018

Academic paper

Free-Chlorine Disinfection as a Selection Pressure on Norovirus

Applied and Environmental Microbiology, July 2018 vol. 84 no. 13 e00244-18. Andri Taruna Rachmadi, Masaaki Kitajima, Kozo Watanabe, Sakiko Yaegashi, Joeselle Serrana, Arata Nakamura, Toyoko Nakagomi, Osamu Nakagomi, Kazuhiko Katayama, Satoshi Okabe and Daisuke Sano http://aem.asm.org/content/84/13/e00244-18.abstract

11/09/2018

Academic paper

Our work has been accepted by Journal of Visualized Experiments

The following work has been accepted by Journal of Visualized Experiments Assays for specific growth rate and cell-binding ability of rotavirus Syun-suke Kadoya, Daisuke Sano Journal of Visualized Experiments, accepted.

06/08/2026

Academic paper, Environmental Water Quality Engineering News

A review article on the dissemination of antibiotic resistance genes in the aquatic environment has been published

A review article on the dissemination of antibiotic resistance genes in the aquatic environment has been published. Linking heavy metal(loid) stress to biofilm formation and conjugation: A critical review of experimental evidence Katayoun Dadeh Amirfard, Mohan Amarasiri, Daisuke Sano Critical Reviews in Environmental Science and Technology, 2026, 56(14), 750-774. This study was supported by the Environment Research and Technology Development…

03/07/2019

Academic paper

Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health

Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health. In this study, the prediction accuracy is improved by sign-constrained linear regression, a new statistical approach. Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets Tsuyoshi Kato, Ayano Kobayashi, Wakana Oishi, Syun-suke Kadoya, Satoshi Okabe, Naoya…

Resource recovery technologies as microbial risk barriers: towards safe use of excreta in agriculture based on hazard analysis and critical control point

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