Evidence Boundaries and Scale-Up for Photo-Fenton Hydrogen and Remediation Systems: Measurement and Comparator Design

Abstract

This critical review examines evidence boundaries and scale-up in photo-fenton hydrogen and remediation systems, with links to intelligent manufacturing and evidence governance. The organizing question is which measurements and assumptions remain valid when a laboratory component is translated into a production decision. Ten or more scholarly and user-supplied records are synthesized through a mechanism-to-decision framework spanning system boundaries, measurement, representation, evaluation, translation, and governance. No experiment, participant dataset, effect estimate, or production result is invented. Particular attention is given to component-level success being reported as end-to-end readiness. The review argues that credible translation requires source-level traceability, explicit validity domains, failure-aware evaluation, and revalidation triggers. Google Scholar-supplied records are retained in structured APA form, and no missing DOI or pagination field is completed by conjecture.