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Status Submitted
Created by Guest
Created on Nov 12, 2026

Quantum Confinement in 3D-Printed Porous Biosorbent Scaffolds for Selective Ion Sensing

PROBLEM: A 3D-printed sensor scaffold can place sensing regions in defined pore geometries, but each printed batch can vary in pore size and functionalization, shifting selectivity and response time. A sensor reading is only comparable across batches if the exact printed design and functionalization version behind it is preserved. Without versioned copies, a later sensor cannot be shown to match the one that was calibrated.

SOLUTION: Storage Copy Data Management would preserve versioned copies of the design and calibration record for quantum-confinement-tuned 3D-printed ion sensors, linking each pore geometry and functionalization step to its DFT prediction, its isotherm validation, and its regeneration history. The capability would support reproducibility checks and retention so a sensing result can be traced to its exact printed scaffold version.

EVIDENCE BASIS: DOCUMENTED — quantum confinement tunes band gaps in nanoscale semiconductors; 3D-printed porous scaffolds provide architected pore networks, print-then-functionalize; DFT predicts which surface groups bind which metal ions; biosorption follows R−COOH + M2+ ⇌ R−COOM+ + H+ with Langmuir and Freundlich isotherms. Source: Hohenberg–Kohn 1964; Kohn–Sham 1965; standard biosorption textbooks.

Idea priority Low