Design of an ultra-sensitive bimetallic anisotropic PCF SPR biosensor for liquid analytes sensing
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Bibliographic record
Abstract
In this research work, an anisotropic photonic crystal fiber ( PCF ) biosensor working on a refractive index ( RI ) variation and based on surface plasmon resonance ( SPR ) is presented. Liquid analytes ( LA ) having a RI within the range of 1.340 to 1.380 RIU are investigated from the proposed biosensor. Spectroscopy analysis of LA having RI values of 1.340 RIU , 1.360 RIU , and 1.380 RIU is performed from the developed sensing setup for modeling an ultrasensitive biosensor. The numerical analysis of the sensing parameters for the proposed sensor presents a maximum wavelength sensitivity ( WS ) of 20000 nm / RIU for x- polarization ( x − pol .) and 18000 nm / RIU for y- polarization ( y − pol .), respectively, using the wavelength interrogation technique. Maximum amplitude sensitivity ( AS ) of 2158 RIU −1 and 3167 RIU −1 is obtained for x − pol . and y − pol ., respectively, using the amplitude interrogation technique. Maximum sensor resolution ( SR ) of 5.00 × 10 −6 RIU and 5.55 × 10 −6 RIU is obtained for x − pol . and y − pol ., respectively. The linear relationship of the resonant wavelength ( RW ) with the RI produces R 2 = 0.9972 and R 2 = 0.9978, corresponding to a degree (2) for x − pol . and y − pol ., respectively. The figure of merit ( FOM ) for x − pol . and y − pol . are 93.45 RIU −1 and 105.88 RIU −1 , respectively. The sensing parameters have obtained the maximum value for the LA having a RI value of 1.375 RIU .
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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 it