Tohoku University
Environmental Water Quality Engineering

Our work has been accepted by Water Science and Technology

Academic paper

The following study was accepted by Water Science and Technology.

Specific interactions of rotavirus HAL1166 with Enterobacter cloacae SENG-6 and their contribution on rotavirus HAL1166 removal
Mohan Amarasiri, Hiroki Kawai, Masaaki Kitajima, Satoshi Okabe, Daisuke Sano
Water Science and Technology, accepted.

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Our work has been accepted by Journal of Visualized Experiments
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A review paper by Amarasiri and Sano has been accepted by Viruses.

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Academic paper

A review paper by Amarasiri and Sano has been accepted by Viruses.

A review paper by Amarasiri and Sano with regards to the specific interaction of human noroviruses with environmental substances has been appeared by Viruses. Specific interactions between human norovirus and environmental matrices: Effects on the virus ecology Mohan Amarasiri and Daisuke Sano Viruses, 11(3), 224.
Academic paper, Environmental Water Quality Engineering News

A paper has been published on the effect of virus particle aggregation on the efficiency of chlorine disinfection.

A paper has been published on the effect of virus particle aggregation on the efficiency of chlorine disinfection. Modeling of viral aggregation and its impact on chlorine disinfection efficacy Putri Shafa Kamira, Ren Suzuki, Syun-suke Kadoya, Wakana Oishi, Daisuke Sano Water Research, September 2026, 303, 126225. This work was supported by JSPS KAKENHI Grant Number 21H04570. https://waterqualitytohoku.com/wp-content/uploads/2026/06/Cap18WR_English.mp4  
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…

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