Hydrothermally carbonized xylem sap for use in chemosensors, on and off switches, and memory devices
Bibliographic record
Abstract
Multiple novel chemo sensor devices were created using hydrothermally synthesized fluorescent carbon produced from xylem sap. Most notably, UV light shone on the carbon can be used to selectively detect Fe3＋ ions and pH by the “naked eye” instantly, a first for xylem-syrup-derived hydrocarbons. A large stroke shift is present with outstanding photo-stability, sensitivity. NOT, AND, and NOR logic gates were derived using this novel behaviour, and implemented in proof-of-concept applications including an on–off switch, a chemo sensor, and a memory device based on the fundamentals of transistors and hydrochar’s structural attributes. For the first time, characteristic crystalline sp2 carbon was observed in hydrochar xylem syrup, the results confirm 0.34 nm interlayer spacing and Raman spectroscopy displays an ID/IG ratio of 0.22 similar to graphitic structures. This material designed chemo sensor devices based on logic gates which have a significant broad potential to act as smart nano devices and displace traditional metal–oxide–semiconductor field-effect transistor (MOSFET) based circuits. The field of renewable hydrocarbon is the subject of a considerable, widening range of interest for a diverse field of applications that can be applied in innovative batteries, sensors, smart materials, healthcare and environmental monitoring.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".