{"id":"W2913205228","doi":"10.1007/s00604-019-3282-3","title":"An impedimetric biosensor for E. coli O157:H7 based on the use of self-assembled gold nanoparticles and protein G","year":2019,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; National Research Council Canada; Medicine Hat College; National Institute for Nanotechnology; University of Alberta","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd","keywords":"Biosensor; Cyclic voltammetry; Colloidal gold; Electrode; Chemistry; Nanoparticle; Nanochemistry; Dielectric spectroscopy; Nanotechnology; Self-assembled monolayer; Detection limit; Nuclear chemistry; Analytical Chemistry (journal); Monolayer; Materials science; Electrochemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005508155,0.0008525305,0.0008226544,0.0004584626,0.0002944466,0.0003932264,0.001255435,0.001806273,0.0003180942],"category_scores_gemma":[0.0005897572,0.0005619501,0.000411323,0.0002160559,0.0004804213,0.0004856389,0.0005963666,0.001056829,0.0002926672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005554697,"about_ca_system_score_gemma":0.0004469525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006241008,"about_ca_topic_score_gemma":0.0009167359,"domain_scores_codex":[0.9993969,0.000130264,0.00003469467,0.0001373784,0.0002420399,0.00005865118],"domain_scores_gemma":[0.999733,0.000106421,0.0000300819,0.00002442378,0.00006492915,0.00004116166],"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":[0.00003835347,0.00001602964,0.00005474999,0.00003824006,0.000005988995,0.00002256676,0.00001244517,0.00004513668,0.9984509,0.00007520324,0.00003095346,0.001209407],"study_design_scores_gemma":[0.000008768403,0.0002042365,0.0004543464,0.000004066863,0.00001341483,0.0001348968,0.00001026701,0.002345967,0.9960245,0.0000377117,0.0007525205,0.000009203214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710599,0.00341279,0.120601,0.0007374565,0.0004974362,0.0002536291,0.0002235583,0.001033975,0.002180415],"genre_scores_gemma":[0.8583351,0.001705354,0.1353635,0.0005050458,0.00006303377,0.0001672671,0.0002934165,0.00004277363,0.003524514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001806273,"threshold_uncertainty_score":0.004030228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553476602543826,"score_gpt":0.2490980283411525,"score_spread":0.2335632623157142,"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."}}