PNNL

Abstract

Omics methods, from amplicon sequencing to multi-omics, are now routine in environmental chemical engineering, but the link from microbial data to reactor design, operation, and scale-up often remains thin. Two patterns recur in submissions we handle: biology-heavy studies with limited engineering scope, and engineering-framed studies whose omics methods cannot support the claims made from them. We describe five recurring forms of methodological overreach and pair each with the evidence that would support the claim. We also describe a validation and limitations deficit, with three parts: model fits reported without independent validation, limitations absent or perfunctory, and the gap between what the biology implies and what the process delivers left unstated. We trace these patterns to structural causes: tools that have outpaced norms, process models with no place for omics data, and separate disciplinary channels. We propose a four-rung ladder of integration (descriptive, correlative, mechanistic, predictive) and a seven-question rubric to help authors position their work and build a validated, quantitative link between biology and engineering decisions.