Detection of Alcohol Content in Food Products by Lossy Mode Resonance Technique
Bibliographic record
Abstract
The study deliberates the detection of ethanol/methanol concentration utilizing the phenomenon of lossy mode resonances on the multimode optical fiber by coating ZnO nanorods and bulk layers of TiO 2 to serve as a lossy mode exciting layer. These layers have been characterized by FESEM, and their composition has been confirmed by EDS spectroscopy. Sensitivity of the ZnO nanorod coated optical fiber probe was found to be 28898.46 nm RIU −1 , which is four times the sensitivity of the ZnO nanowire grown gas sensor for 1000 ppm of ethanol. Further, it is 4.5 times the sensitivity of TiO 2 coated fiber probe. The sensitivity of TiO 2 coated fiber optic probe comes about 7962.88 nm RIU −1 , for methanol detection. The study reveals that the ZnO nanorod grown probe is highly recommended owning to the high figure of Merit i.e., 171.64 along with high sensitivity and detection accuracy values. The selectivity test also confirms the selectivity of this probe towards ethanol with ZnO NRs. Therefore, the development of an easy, durable, low-cost, and highly sensitive optical fiber sensing probe for the detection of ethanol and methanol has been achieved that may find ample considerations by the researchers in this field.
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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 | 0.001 |
| 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".