{"id":"W3004603640","doi":"10.1039/c9nr09484a","title":"Exploiting shape-selected iron oxide nanoparticles for the destruction of robust bacterial biofilms – active transport of biocides <i>via</i> surface charge and magnetic field control","year":2020,"lang":"en","type":"article","venue":"Nanoscale","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; Research Manitoba","keywords":"Biocide; Biofilm; Nanoparticle; Materials science; Surface charge; Zeta potential; Nanotechnology; Propellant; Chemical engineering; Extracellular polymeric substance; Matrix (chemical analysis); Staphylococcus aureus; Iron oxide nanoparticles; Microbiology; Chemistry; Bacteria; Composite material; Organic chemistry; Biology","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":[0.0001418766,0.0002474319,0.0001487067,0.0001142559,0.0001106336,0.0002724025,0.0002115706,0.0003355274,0.0002871403],"category_scores_gemma":[0.0001687279,0.0001224942,0.0001494124,0.00006555185,0.0002094754,0.0001951673,0.0001654594,0.0002256084,0.0001473335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921339,"about_ca_system_score_gemma":0.0001477939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004412233,"about_ca_topic_score_gemma":0.0008501424,"domain_scores_codex":[0.999917,0.000009722144,0.000005685476,0.00002217696,0.00002770231,0.00001772251],"domain_scores_gemma":[0.9999024,0.00001748399,0.00003594365,0.000006202636,0.00002209781,0.00001589792],"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":[0.00001856066,0.000006585772,0.00002259585,0.00001083768,9.154846e-7,0.000008827406,0.000006427779,0.00005031827,0.9992509,0.00003404134,0.00001268567,0.0005772158],"study_design_scores_gemma":[0.00000543737,0.0000697404,0.000300076,0.000001133192,0.000001942507,0.0000288161,0.000005615838,0.001007291,0.9982824,0.00001098923,0.0002837984,0.000002703876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908376,0.0004518477,0.007003251,0.00009147752,0.00002638183,0.00003455951,0.00003690651,0.00007201439,0.00144604],"genre_scores_gemma":[0.9920295,0.0002089119,0.006683407,0.00005974723,0.000007572096,0.00002252031,0.00003414657,0.00002079496,0.0009333186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004412233,"threshold_uncertainty_score":0.002119601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105897916895703,"score_gpt":0.2020734859275222,"score_spread":0.1910145067585652,"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."}}