Toward standardized environmental detection of antibiotics and ARGs for regulatory interpretation and concern tiering

Environmental detection of antimicrobial resistance has expanded rapidly, but many programs still treat detection of antibiotic resistance genes (ARGs) or resistant bacteria as the primary endpoint. As a result, outputs are often only weakly linked to antibiotic exposure conditions and remain difficult to compare, interpret, and use consistently for follow-up decisions. This review examines how detection of antibiotics and ARG/ARB can be standardized for regulatory interpretation and qualitative concern tiering. It defines standardization across pre-analytical, analytical, data, and interpretive layers; proposes a minimum detection package; and describes how comparison-ready chemical and biological outputs can support integrated interpretation. It also reviews chromatographic, sequencing, biosensor, and other recognition-based platforms, arguing that platform choice should match screening, confirmation, quantification, or discovery roles. This review then outlines a four-tier framework for concern and decision priority, together with reporting and implementation elements needed to translate detection results into proportionate follow-up. Environmental AMR detection becomes more useful when antibiotic exposure, ARG/ARB evidence, and contextual information are standardized and interpreted together rather than handled as separate streams.