{"id":"W4313224703","doi":"10.1021/acs.langmuir.2c02458","title":"Gold Nanoparticles Synthesized Using Various Reducing Agents and the Effect of Aging for DNA Sensing","year":2022,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Colloidal gold; Adsorption; Chemistry; Sodium citrate; Biosensor; Absorbance; Nanoparticle; Reagent; Colloid; Nuclear chemistry; DNA; Reducing agent; Surface plasmon resonance; Nanotechnology; Inorganic chemistry; Chemical engineering; Combinatorial chemistry; Materials science; Chromatography; Biochemistry; 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":[0.0003371622,0.0006742631,0.0003651349,0.0002846835,0.0001537499,0.0001878451,0.0003486152,0.0005124115,0.0003402494],"category_scores_gemma":[0.0004547973,0.0002590431,0.0003626141,0.0003246404,0.0002422261,0.0002809348,0.0001806253,0.0004062095,0.0001252767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003478779,"about_ca_system_score_gemma":0.0002100112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139575,"about_ca_topic_score_gemma":0.001664956,"domain_scores_codex":[0.9997122,0.00004387436,0.00004615861,0.00008695079,0.00007830428,0.00003259013],"domain_scores_gemma":[0.9998252,0.00003330514,0.00004515814,0.00001629165,0.00006615464,0.000013893],"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":[0.00001818494,0.000004451628,0.00004702016,0.00005825178,0.00000437674,0.000018941,0.00001767986,0.00004952366,0.9988299,0.00003084781,0.0000085496,0.0009122371],"study_design_scores_gemma":[0.000002022625,0.00006298066,0.0002279511,0.000001855925,0.00001155568,0.0000390749,0.000005653468,0.00023501,0.9989392,0.00001196732,0.0004595766,0.000003188983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963485,0.008356747,0.02615893,0.0001726067,0.0001717773,0.0001105734,0.0001649829,0.0001912819,0.001188079],"genre_scores_gemma":[0.9398566,0.004254297,0.05287194,0.0002033989,0.00002957483,0.0001331379,0.0003767167,0.00005610266,0.00221815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001139575,"threshold_uncertainty_score":0.002524078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009546561268466683,"score_gpt":0.2717730131590425,"score_spread":0.2622264518905758,"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."}}