{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002526098,0.0005797123,0.0004303053,0.000219508,0.0001517248,0.0005673135,0.0006758838,0.0007947433,0.0006169913],"category_scores_gemma":[0.0004879641,0.0004692003,0.0002998884,0.0001305452,0.0004114504,0.0005283452,0.000503368,0.0005065061,0.0005907617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005270384,"about_ca_system_score_gemma":0.0001840346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086891,"about_ca_topic_score_gemma":0.002340144,"domain_scores_codex":[0.9993988,0.00006968775,0.00005101441,0.0001748334,0.0002071138,0.00009864919],"domain_scores_gemma":[0.9997534,0.0000587166,0.00005600721,0.00002656409,0.00007170327,0.00003353206],"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":[0.000032429,0.000005430171,0.0001344458,0.00004561205,0.000004723946,0.00005169021,0.00002435577,0.00004705339,0.9981583,0.0000771834,0.00001754443,0.001401126],"study_design_scores_gemma":[0.00000348574,0.00004820095,0.0006419654,0.0000040145,0.000006515127,0.00008853903,0.00001770676,0.001075678,0.997328,0.00003633264,0.0007433189,0.000006187151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729614,0.003350446,0.01775757,0.0001914414,0.00008622547,0.00007932895,0.00009475473,0.0002140901,0.005264782],"genre_scores_gemma":[0.9869512,0.001011692,0.008342606,0.0001589219,0.00001436778,0.00005305037,0.00009039152,0.00003136902,0.003346369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001086891,"threshold_uncertainty_score":0.003823936,"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."}}