{"id":"W3127360183","doi":"10.1039/d1an00102g","title":"SYBR Green I promotes melamine binding to poly-thymine DNA and FRET-based ratiometric sensing","year":2021,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; South China Agricultural University","keywords":"SYBR Green I; Förster resonance energy transfer; Melamine; Chemistry; DNA; Biosensor; Thymine; Intramolecular force; Fluorescence; Biophysics; Biochemistry; Real-time polymerase chain reaction; Stereochemistry; Biology; Gene; Physics; 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":[0.001326816,0.0009574576,0.0004957171,0.0003791819,0.0002783349,0.000636556,0.0009279674,0.0008651208,0.003929642],"category_scores_gemma":[0.001550966,0.0006345051,0.000416535,0.0003633458,0.0007927049,0.0006908028,0.000527575,0.001210016,0.001444877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506737,"about_ca_system_score_gemma":0.0003503371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002550796,"about_ca_topic_score_gemma":0.0008338479,"domain_scores_codex":[0.999009,0.0002970666,0.00007213654,0.0002920092,0.0002618793,0.00006787234],"domain_scores_gemma":[0.9993126,0.0003038379,0.000141147,0.00008712451,0.0001054838,0.00004976691],"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":[0.00002939902,0.00000942753,0.00005725636,0.00004776963,0.000004149378,0.00002420993,0.00002125714,0.00003027104,0.9981061,0.0001868303,0.00005022378,0.001433034],"study_design_scores_gemma":[0.000003265827,0.00003629762,0.0001241668,0.000006538805,0.000003724957,0.00007636882,0.0000083644,0.0004194581,0.9983045,0.00004483813,0.0009686275,0.000003925797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7274061,0.00296768,0.2521042,0.0009651182,0.0004514237,0.0002566657,0.0005533285,0.002329934,0.0129655],"genre_scores_gemma":[0.830579,0.003002703,0.142999,0.0005498686,0.00006471251,0.0004925853,0.001034194,0.0004095622,0.0208683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003929642,"threshold_uncertainty_score":0.01314598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129988929790341,"score_gpt":0.2633950767047428,"score_spread":0.2520951874068393,"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."}}