Detection of antibiotic sulfamethoxazole residues in milk using a molecularly imprinted polymer-based thermal biosensor
Bibliographic record
Abstract
Antibiotic resistance is a growing concern, partly due to inadequate inspections in the food safety chain. The accumulation of antibiotics like sulfamethoxazole (SMX) in animal products contributes to the rise of resistant microorganisms, posing a global health challenge. This work focuses on developing a thermal sensor to quickly and affordably detect SMX residues in milk samples. Molecularly imprinted polymers (MIPs) were synthesized and immobilized on an aluminum chip to measure thermal changes using the heat-transfer method (HTM). The sensor's detection limit in calcium chloride solutions was 261 ± 12 pmol L −1 , well below regulatory limits for sulfonamides in dairy. The sensor also showed good selectivity when tested against antibiotics from different classes, and good performances in spiked milk samples. These results indicate that the thermal sensor provides a sensitive, low-cost alternative for detecting sulfamethoxazole traces in dairy products, contributing to improved food safety. • A thermal biosensor is developed to detect sulfamethoxazole residues in milk. • Molecularly imprinted polymers (MIPs) are materials used as recognition elements. • The sensor detects sulfamethoxazole residues in milk samples without pretreatment. • The device's detection level is suitable for industrial applications. • This low-cost sensor could improve food safety and reduce antibiotic resistance.
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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 | 0.001 |
| 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".