{"id":"W4405408959","doi":"10.1016/j.ijbiomac.2024.138802","title":"Core-shell gelatin-chitosan nanoparticles with lysozyme responsiveness formed via pH-drive and transglutaminase cross-linking","year":2024,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences; Chinese Academy of Fishery Sciences; Horizon 2020 Framework Programme; National Institute of Food and Agriculture; U.S. Department of Agriculture; Agence Nationale de la Recherche; European Commission; Horizon 2020; China Scholarship Council","keywords":"Tissue transglutaminase; Chitosan; Lysozyme; Gelatin; Chemistry; Nanoparticle; Shell (structure); Chemical engineering; Core (optical fiber); Lysine; Enzyme; Biophysics; Biochemistry; Materials science; Biology; Amino acid","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":[0.0001193041,0.0005563014,0.0001979717,0.0001395744,0.00007206744,0.0001714234,0.0002401102,0.0004180868,0.0005785881],"category_scores_gemma":[0.0001972877,0.0002372158,0.0003331149,0.0001251195,0.0001966647,0.0003172716,0.0002606756,0.0003597195,0.000285741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329879,"about_ca_system_score_gemma":0.0001490083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006214944,"about_ca_topic_score_gemma":0.001127689,"domain_scores_codex":[0.9999032,0.000009048938,0.000008264775,0.00003286656,0.00002804066,0.00001864371],"domain_scores_gemma":[0.9998764,0.00001687088,0.00005491324,0.00001059117,0.00002384468,0.00001732203],"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":[0.00001333364,0.000004390955,0.0000223745,0.00002705827,0.000002636202,0.00002246629,0.000004286666,0.00007175779,0.9993206,0.00002650965,0.00001148358,0.0004731108],"study_design_scores_gemma":[0.000006970999,0.00006238453,0.0005464346,0.000002721367,0.000009567525,0.00008096837,0.000004600177,0.001078799,0.997587,0.00001323935,0.0006016821,0.00000566989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738048,0.001253167,0.0221187,0.0001072964,0.00005329713,0.00007787964,0.0001999135,0.0003040745,0.002080901],"genre_scores_gemma":[0.9850355,0.0004696319,0.01225548,0.000067728,0.000008140061,0.00006501094,0.0001392603,0.00004436643,0.001914813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006214944,"threshold_uncertainty_score":0.002415955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04190197334027643,"score_gpt":0.2914583820558846,"score_spread":0.2495564087156082,"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."}}