e-ISSN: Pending
Negative / Null Result ReportMedicine

Establishment of predictive machine learning models for disinfection byproduct formation during chlorination or chlorine photolysis.

Chen; Chen; Su; Subi; Zhao; Wang; Zhang; Xian · 2026 · Water research

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract (excerpt)

In recent years, in addition to traditional chlorine disinfection, disinfection methods based on chlorine photolysis reactions using ultraviolet or xenon lamps as light sources, have received increased attention. However, both approaches…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: PubMed · DOI 10.1016/j.watres.2026.126344