{"id":"W4406820249","doi":"10.1007/s00604-025-06952-1","title":"Electrochemical aptasensor for the selective detection of vancomycin based on nanostructured “in-lab” printed electrodes","year":2025,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie; Ministerul Cercetării, Inovării şi Digitalizării","keywords":"Aptamer; Dielectric spectroscopy; Detection limit; Electrode; Electrochemistry; Materials science; Nanotechnology; Scanning electron microscope; Linear range; Electrochemical gas sensor; Chemistry; Chromatography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001221537,0.0001757479,0.0001983246,0.0001191047,0.00007975969,0.000009874931,0.0001841183,0.0001726706,4.078416e-7],"category_scores_gemma":[0.0002197656,0.0001295921,0.0001496441,0.0003081377,0.00008242681,0.000001807091,0.00003097974,0.0001591662,1.123744e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005445738,"about_ca_system_score_gemma":0.00007203571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006500194,"about_ca_topic_score_gemma":0.0001078495,"domain_scores_codex":[0.9990339,0.00005291513,0.000229487,0.0003684412,0.00006955926,0.0002457152],"domain_scores_gemma":[0.9993428,0.0000844437,0.0001046974,0.0003193858,0.0001310842,0.00001758244],"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":[0.001000921,0.00007198414,0.00005626712,0.00001897845,0.00006367938,1.201532e-7,0.00000470641,0.000003638551,0.9964178,0.00001241489,0.0002575992,0.002091904],"study_design_scores_gemma":[0.0005431465,0.0003048059,0.0004522937,0.00003461584,0.00005209633,0.000002069241,0.00001286695,0.0008740394,0.9939641,0.0001532264,0.003477121,0.0001296148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947897,0.0001514285,0.05003626,0.0006890618,0.00008058102,0.0007836705,0.00003377305,0.00004810873,0.0002800808],"genre_scores_gemma":[0.994849,0.00004047843,0.004494358,0.0003424691,0.00004188364,0.00003378505,0.00006235772,0.00001470643,0.0001209793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04695195,"threshold_uncertainty_score":0.5284613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003912289873862206,"score_gpt":0.2486431837499798,"score_spread":0.2447308938761176,"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."}}