{"id":"W3034066537","doi":"10.1021/acs.analchem.0c01773","title":"Dopamine and Melamine Binding to Gold Nanoparticles Dominates Their Aptamer-Based Label-Free Colorimetric Sensing","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Chemistry; Aptamer; Isothermal titration calorimetry; Colloidal gold; Dopamine; Tyramine; Adsorption; Melamine; Biosensor; Molecule; Biogenic amine; Octopamine (neurotransmitter); Nanoparticle; Combinatorial chemistry; Neurotransmitter; Nanotechnology; Biochemistry; Physical chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001417196,0.0002528804,0.0003043371,0.0000423112,0.00007245805,0.00004995469,0.0002016546,0.0001676193,0.000005084521],"category_scores_gemma":[0.0008111976,0.0002145009,0.00009493262,0.0005132704,0.0001633011,0.000004633082,0.0002432946,0.0001362199,0.000004562084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002113509,"about_ca_system_score_gemma":0.00003324757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005483108,"about_ca_topic_score_gemma":0.000002382208,"domain_scores_codex":[0.9986432,0.00002592281,0.0002695427,0.0005707799,0.0001589506,0.0003316469],"domain_scores_gemma":[0.9990646,0.00006232317,0.00007388269,0.0003694235,0.0001063343,0.0003234048],"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":[0.0001049921,0.00004112878,0.0003091737,0.00003762226,0.0000626388,0.00001515584,0.000006760235,0.000006944895,0.9943631,0.000005433855,0.001226183,0.003820891],"study_design_scores_gemma":[0.0004856772,0.0002029644,0.0000401575,0.00002245922,0.00008544941,0.000008913888,0.00007394806,0.004439647,0.98927,0.00002076583,0.005055419,0.0002946182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954585,0.0002122966,0.001228044,0.002407074,0.00001193079,0.00009054178,0.00003777537,0.00007160671,0.0004821824],"genre_scores_gemma":[0.9903919,0.00004110414,0.008013453,0.0009914668,0.0001976292,0.000002215681,0.00006651116,0.00002622354,0.0002695169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00678541,"threshold_uncertainty_score":0.8747095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173445798613506,"score_gpt":0.2603994389231734,"score_spread":0.2430548590618228,"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."}}