{"id":"W4401961298","doi":"10.1021/acsagscitech.4c00383","title":"Encapsulation of Biomolecule (Hexanal) Using Multilayer Electrospun Nanofibers (β-Cyclodextrin/PVA/PLGA) for Controlled Release to Extend the Postharvest Shelf Life of Mango Fruits (Alphonso)","year":2024,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Government of Canada","keywords":"Hexanal; Shelf life; Postharvest; Nanofiber; Cyclodextrin; PLGA; Encapsulation (networking); Electrospinning; Nanotechnology; Chemistry; Materials science; Food science; Horticulture; Computer science; Biology; Composite material; Polymer; Organic chemistry; Nanoparticle","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007245713,0.0002920011,0.0001303059,0.0001104463,0.00006483863,0.0001407581,0.00006515511,0.0001509938,0.0002952317],"category_scores_gemma":[0.00005215793,0.0000954809,0.0001925267,0.00005756727,0.00007432956,0.0001853841,0.0001182429,0.0001625419,0.00007016918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120496,"about_ca_system_score_gemma":0.00008922342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003705476,"about_ca_topic_score_gemma":0.0007247833,"domain_scores_codex":[0.9999567,0.000003213748,0.000005193079,0.00001407007,0.0000107132,0.00001006373],"domain_scores_gemma":[0.9999492,0.000005551726,0.00002342622,0.000003742283,0.000007380622,0.00001056174],"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":[0.00000772173,0.000002401819,0.00003149669,0.000008792126,0.000001016154,0.000007894027,0.00000264763,0.00001505185,0.9997168,0.000005072106,0.00000145355,0.0001994755],"study_design_scores_gemma":[0.000002765929,0.000135516,0.002269778,0.000002715309,0.00001153951,0.00006737329,0.00001026081,0.0004321822,0.9965744,0.000007433687,0.0004831179,0.000002977412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996233,0.000625889,0.002714211,0.00001620413,0.0000138948,0.00001377708,0.00005468383,0.00003441897,0.0002939568],"genre_scores_gemma":[0.995186,0.00036852,0.003155755,0.00001674174,0.000005014578,0.00001680812,0.00007978337,0.000009445851,0.001161935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003705476,"threshold_uncertainty_score":0.0009875894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026084933709301,"score_gpt":0.2771289918480143,"score_spread":0.2668681425109213,"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."}}