{"id":"W4414517636","doi":"10.1016/j.mtchem.2025.103060","title":"Nanofibrous theranostic biosensor for visual detection of infections and triggered drug release: Utilizing ROS-responsive nanoparticles to combat bacterial resistance","year":2025,"lang":"en","type":"article","venue":"Materials Today Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Biosensor; Ciprofloxacin; Citric acid; Detection limit; Antibiotics; Bacteria; Antibacterial activity; Drug","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003054686,0.0005611425,0.0003775215,0.0002904816,0.000143932,0.0003376057,0.0003422533,0.0009511285,0.0005256915],"category_scores_gemma":[0.0002691859,0.0001937219,0.0002768927,0.0001149446,0.0003066015,0.000379716,0.0002335777,0.0003355762,0.0002968798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003637889,"about_ca_system_score_gemma":0.0001828686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005224439,"about_ca_topic_score_gemma":0.0007149646,"domain_scores_codex":[0.9997718,0.0000289295,0.00001584733,0.00005400615,0.0000914254,0.00003799043],"domain_scores_gemma":[0.9998335,0.00003481774,0.00005500958,0.000009007978,0.00004749572,0.00002013517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009273012,0.000006308532,0.00002331938,0.00003208115,0.00000148582,0.00003476092,0.000006109542,0.00006962823,0.9986044,0.00002526767,0.00001517484,0.001172218],"study_design_scores_gemma":[0.000003616909,0.0001399467,0.0003111884,0.000006143576,0.000006394764,0.0002372335,0.00001299721,0.002921766,0.9953299,0.00002593513,0.0009942359,0.00001072241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008564,0.00919932,0.08491056,0.0006798081,0.0002390443,0.0001594328,0.0001501976,0.0005302928,0.003275011],"genre_scores_gemma":[0.9307015,0.003293505,0.06027446,0.0003761557,0.00006004585,0.00009224234,0.0001156453,0.00004140799,0.005045068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009511285,"threshold_uncertainty_score":0.002639413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004328805967291623,"score_gpt":0.2206124750533648,"score_spread":0.2162836690860732,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}