Designing of an ultra-sensitive fiber-optic sensor for the bacterial analysis of drinking water
Bibliographic record
Abstract
This work proposes a novel and highly-sensitive optical device to sense the presence of different pathogenic bacteria in drinking water. The initial sensing structure consists of a decladded multimode fiber with a higher order Bessel-Gauss beam shining on it. It relies on the notion of intermodal interference, where the transmitted output power varies with changeable cladding refractive index because of different pathogenic bacteria as present in the water sample. For the designing of bacteria sensor, such coalescence of higher order Bessel-Gauss beam along with a decladded multimode fiber has never been mentioned in any of the existing literatures. The device's sensing behavior was substantiated using a finite difference Eigenmode analysis in Mode solution software (commercially available from Lumerical Inc., Canada). By selecting the sensing length as 7 cm, the obtained spectral sensitivity of 1179 dB/RII is 3.78 times superior to the typical Gaussian sensor. Therefore such an emerging beam known as higher-order beam Bessel-Gauss offers new prospects in the biosensing field.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".