3D Printable Vapochromic Sensing Materials
Bibliographic record
Abstract
Vapochromic Coordination Polymers (VCPs) are highly stable sensing compounds that can be used for chemical sensors but require immobilization to be effective. We present a novel immobilization method for VCPs that results in a new class of Vapochromic Sensing Materials (VSMs) for chemical sensors. These VSMs can further be used as base materials for 3D printing and additive manufacturing processes to create geometrically complex sensor surfaces, or for integration with other 3D printed structures. The ammonia-sensitive VCP compound Zn[Au(CN)2]2 is used together with polylactic acid (PLA) to create the first type of this new class of VSM. The VSM synthesis method is simple, robust, and employs the use of the inexpensive and sustainable 3D printing polymer PLA. Early results suggest that, compared to previous methods used for the immobilization of the Zn[Au(CN)2]2 VCP, the VSM: 1) provides long term and stable immobilization of VCPs; 2) can detect target analytes (e.g., ammonia) at low concentrations (e.g., 5 ppm); and 3) is effective as a sensing material even when comprised of low VCP concentrations of 2% wt. or less in the PLA matrix.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".