{"id":"W3026769339","doi":"10.1016/j.foodchem.2020.127058","title":"Cysteamine triggered “turn-on” fluorescence sensor for total detection of fumonisin B1, B2 and B3","year":2020,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program; Department of Science and Technology of Jilin Province; National Natural Science Foundation of China","keywords":"Fumonisin B1; Detection limit; Chemistry; Coefficient of variation; Fluorescence; Colloidal gold; Cysteamine; Chromatography; Rhodamine B; Correlation coefficient; Fumonisin; Linear range; Rhodamine; Analytical Chemistry (journal); Nanoparticle; Mycotoxin; Biochemistry; Materials science; Nanotechnology; Food science","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":[0.0001847261,0.0004494255,0.0002849069,0.0001492122,0.0001877308,0.0002337435,0.0008500208,0.0008684248,0.001240247],"category_scores_gemma":[0.0001946273,0.000291038,0.0003422052,0.0001874614,0.0002565892,0.0003928328,0.0002733519,0.0006083513,0.0003458038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004967733,"about_ca_system_score_gemma":0.0002272712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005570092,"about_ca_topic_score_gemma":0.001446546,"domain_scores_codex":[0.9996997,0.00003917897,0.00001514976,0.00009849311,0.00007855851,0.00006893827],"domain_scores_gemma":[0.9998819,0.00002406348,0.00003193681,0.00001273342,0.00002797884,0.00002137656],"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":[0.00006647528,0.00001094625,0.00003543577,0.00002795133,0.00000416996,0.0000461907,0.00001232895,0.0000279605,0.9990323,0.00005794523,0.00006289661,0.0006155231],"study_design_scores_gemma":[0.000003548585,0.00006895141,0.0003196273,0.000001555389,0.000003726185,0.00005558348,0.000006702663,0.0006474582,0.998485,0.00001041996,0.0003936904,0.00000373348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803147,0.0005826043,0.01592247,0.0002027585,0.00008183908,0.00003343387,0.000251233,0.0003605988,0.002250376],"genre_scores_gemma":[0.9847994,0.0003753853,0.01077789,0.0002089013,0.00001328346,0.00004690279,0.0003361221,0.00002942405,0.003412761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001240247,"threshold_uncertainty_score":0.004149079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662869597734151,"score_gpt":0.1893009119514465,"score_spread":0.172672215974105,"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."}}