Integrating Ion Exclusion and Water Permeability in Nanofluidic Desalination: Design Trade-offs and Operational Evidence

Abstract

Research spanning nanofluidic desalination increasingly joins methods that were developed for different objects and decisions. Here, a Bernoulli-effect transport concept for driving water desalination is compared with simulation of tapered channels in multilayer graphene membranes to determine which claims can travel across those boundaries and which remain context dependent. A structured reading of two target studies and 12 verified companion references is conducted across five lenses: ion exclusion, water permeability, channel geometry, driving force, scale-up. Emphasis is placed on the provenance of evidence, the comparability of baselines, and the consequences of alternative explanations. Comparison reveals recurring trade-offs among ion exclusion, water permeability, and channel geometry. These trade-offs do not support a universal ranking; instead, they identify the operating envelope within which each method remains credible and the perturbations most likely to expose fragile conclusions. The contribution is a decision-oriented synthesis that connects method selection to failure cost and treats reproducibility, provenance, and bounded generalization as first-order design requirements.