{"id":"W4211227788","doi":"10.1002/cjce.24384","title":"Selective removal of <scp>Cr (VI)</scp> from hydrometallurgical effluent using modified cellulose nanocrystals (<scp>CNCs</scp>) with succinic anhydride and ethylenediaminetetraacetic acid: Isotherm, kinetics, and thermodynamic studies","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Succinic anhydride; Zeta potential; Thermogravimetric analysis; Adsorption; Langmuir adsorption model; Ethylenediaminetetraacetic acid; Chemistry; Nuclear chemistry; Succinic acid; Inorganic chemistry; Chemical engineering; Materials science; Organic chemistry; Chelation; Nanotechnology; Nanoparticle","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001963602,0.0002946878,0.0002879633,0.0001550419,0.0001173326,0.0002153086,0.0002562797,0.0002884722,0.0004265702],"category_scores_gemma":[0.0002049748,0.0001751794,0.000364899,0.0001448142,0.0001455729,0.0001751183,0.0001253264,0.0002713871,0.0001620123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742119,"about_ca_system_score_gemma":0.0002595848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003894537,"about_ca_topic_score_gemma":0.004778788,"domain_scores_codex":[0.9998517,0.000009859948,0.0000124661,0.00003271155,0.000068815,0.00002440815],"domain_scores_gemma":[0.9999006,0.00002284641,0.00002489338,0.000006926976,0.00003163283,0.00001315219],"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":[0.00002231355,0.000007481899,0.0001234151,0.00002891819,0.00000340583,0.00001869122,0.000005685396,0.0001082149,0.9990434,0.00001480547,0.00001661592,0.0006069303],"study_design_scores_gemma":[0.00000252604,0.00003545802,0.0008557062,0.000001351997,0.000003511191,0.00002375421,0.000004087065,0.001163735,0.9977595,0.000003620507,0.0001440328,0.000002647163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966987,0.0003790233,0.002293308,0.00002563112,0.0000101027,0.00001678769,0.0001250409,0.00003122943,0.0004201116],"genre_scores_gemma":[0.996018,0.000325413,0.00237046,0.00002043414,0.000003231085,0.00002082005,0.0001475901,0.00001216695,0.001081922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003894537,"threshold_uncertainty_score":0.007743716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574758211859427,"score_gpt":0.2323824007689432,"score_spread":0.2166348186503489,"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."}}