Development of an Optofluidic System for Concentration Measurement of Colorimetric based Solution targeted for Water Quality Assessment
Bibliographic record
Abstract
Concentration measurement of a solution based on colorimetric method is normally performed using a commercial and bulky device such as colorimeter and spectrometer.This approach has several drawbacks: the sample needs to be manually taken, transported and tested in laboratory, as well as it requires large volume of analyte and reagent.Such problem can be overcome by having a small and compact system such as optofluidic based device with the capability of carrying out colorimetric measurements with better operational processes.Therefore, this research focuses on the development of a smaller optofluidic based system to measure the concentration of colorimetric based solutions.The system consists of a microfluidic platform combined with a light emitting diode (LED) and a lightdependent resistor (LDR) as its optical source and detector, respectively.Based on Beers law principles, different concentration of coloured solution produces different voltage signal and absorbance effect, which is then being processed and manipulated to produce the concentration measurement.The optofluidic system was then tested on colorimetric solution between 0.1M to 1M and gives linearity coefficient, R 2 of 0.9977 and 0.9979 for its voltage and absorbance, respectively.The proposed optofluidic system is targeted to be able to measure the concentration of particles in colorimetric solution and to be implemented for colorimetric based water quality assessment.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".