{"id":"https://openalex.org/W4414284898","doi":"https://doi.org/10.1177/14727978251380833","title":"RETRACTED: Quantitative determination of multiple illegal additives in flour based on near-infrared spectroscopy","display_name":"RETRACTED: Quantitative determination of multiple illegal additives in flour based on near-infrared spectroscopy","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4414284898","doi":"https://doi.org/10.1177/14727978251380833"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251380833","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251380833","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101194106","display_name":"Siting Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124184","display_name":"Heilongjiang Bayi Agricultural University","ror":"https://ror.org/030jxf285","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210124184"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siting Wu","raw_affiliation_strings":["Heilongjiang Bayi Agricultural University","College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Bayi Agricultural University","institution_ids":["https://openalex.org/I4210124184"]},{"raw_affiliation_string":"College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, China","institution_ids":["https://openalex.org/I4210124184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016341439","display_name":"Mingjie Jian","orcid":"https://orcid.org/0000-0002-5649-7461"},"institutions":[{"id":"https://openalex.org/I4210124184","display_name":"Heilongjiang Bayi Agricultural University","ror":"https://ror.org/030jxf285","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210124184"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghe Jian","raw_affiliation_strings":["Heilongjiang Bayi Agricultural University","College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Bayi Agricultural University","institution_ids":["https://openalex.org/I4210124184"]},{"raw_affiliation_string":"College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, China","institution_ids":["https://openalex.org/I4210124184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071557450","display_name":"Chunqi Wang","orcid":"https://orcid.org/0000-0001-5674-156X"},"institutions":[{"id":"https://openalex.org/I4210124184","display_name":"Heilongjiang Bayi Agricultural University","ror":"https://ror.org/030jxf285","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210124184"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunqi Wang","raw_affiliation_strings":["Heilongjiang Bayi Agricultural University","College of Food Science, Heilongjiang Bayi Agricultural University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Bayi Agricultural University","institution_ids":["https://openalex.org/I4210124184"]},{"raw_affiliation_string":"College of Food Science, Heilongjiang Bayi Agricultural University, Daqing, China","institution_ids":["https://openalex.org/I4210124184"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676697","display_name":"Jinming Liu","orcid":"https://orcid.org/0000-0001-8328-873X"},"institutions":[{"id":"https://openalex.org/I4210124184","display_name":"Heilongjiang Bayi Agricultural University","ror":"https://ror.org/030jxf285","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210124184"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinming Liu","raw_affiliation_strings":["Heilongjiang Bayi Agricultural University","College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang Bayi Agricultural University","institution_ids":["https://openalex.org/I4210124184"]},{"raw_affiliation_string":"College of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, Daqing, China","institution_ids":["https://openalex.org/I4210124184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071557450","https://openalex.org/A5100676697"],"corresponding_institution_ids":["https://openalex.org/I4210124184"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28207289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"6","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6805999875068665},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4198000133037567},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.40619999170303345},{"id":"https://openalex.org/keywords/detection-limit","display_name":"Detection limit","score":0.36559998989105225},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.3544999957084656},{"id":"https://openalex.org/keywords/chemometrics","display_name":"Chemometrics","score":0.322299987077713},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.32100000977516174},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.314300000667572}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6805999875068665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4867999851703644},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4198000133037567},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3693999946117401},{"id":"https://openalex.org/C119128265","wikidata":"https://www.wikidata.org/wiki/Q900165","display_name":"Detection limit","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C151304367","wikidata":"https://www.wikidata.org/wiki/Q910067","display_name":"Chemometrics","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.32100000977516174},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3009999990463257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.2827000021934509},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C39847760","wikidata":"https://www.wikidata.org/wiki/Q1385465","display_name":"Extreme point","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2540999948978424},{"id":"https://openalex.org/C2987718291","wikidata":"https://www.wikidata.org/wiki/Q2095","display_name":"Food products","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251380833","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251380833","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1982755765","https://openalex.org/W1997270149","https://openalex.org/W2084169316","https://openalex.org/W3013477575","https://openalex.org/W3107173597","https://openalex.org/W4290791424","https://openalex.org/W4302773550","https://openalex.org/W4381383345","https://openalex.org/W4388213878","https://openalex.org/W4389286397","https://openalex.org/W4390010809","https://openalex.org/W4390694147","https://openalex.org/W4390762373","https://openalex.org/W4393155108","https://openalex.org/W4394687697","https://openalex.org/W4398765691","https://openalex.org/W4399027175","https://openalex.org/W4399811185","https://openalex.org/W4400269934","https://openalex.org/W4400942678","https://openalex.org/W4401378392","https://openalex.org/W4401551333","https://openalex.org/W4402115505","https://openalex.org/W4404449260","https://openalex.org/W4404516852","https://openalex.org/W4404517498","https://openalex.org/W4404728968","https://openalex.org/W4406011499","https://openalex.org/W4406023719","https://openalex.org/W4406124633","https://openalex.org/W4406973292","https://openalex.org/W4407196955","https://openalex.org/W4407204553","https://openalex.org/W4408066425","https://openalex.org/W4408066446","https://openalex.org/W4408071965","https://openalex.org/W4408369643","https://openalex.org/W4408496510","https://openalex.org/W4408746857","https://openalex.org/W4409284477","https://openalex.org/W4409880139","https://openalex.org/W4409955777","https://openalex.org/W4410502609","https://openalex.org/W4411545469"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"quantification":[1],"of":[2,41,70,97,121,155],"illegal":[3,72],"additives":[4,73],"in":[5,51,74,87],"flour":[6,165],"is":[7],"critical":[8],"for":[9,24,37,83,112,164,172],"ensuring":[10,173],"food":[11,174],"safety.":[12],"Conventional":[13],"detection":[14,35,68,110,150,167],"methods,":[15],"however,":[16],"suffer":[17],"from":[18],"low":[19],"efficiency":[20],"and":[21,47,102,115,126,136,138,146,168,176],"are":[22],"inadequate":[23],"rapid":[25,67],"quantitative":[26,34],"analysis.":[27],"Herein,":[28],"we":[29],"presented":[30],"a":[31,161],"near-infrared":[32],"spectroscopy-based":[33],"approach":[36,159],"the":[38,88,95,108,128,139,153],"simultaneous":[39],"determination":[40,122],"Azodicarbonamide":[42],"(ADA),":[43],"Talcum":[44],"Powder":[45,49],"(TalcP),":[46],"Gypsum":[48],"(GypsumP)":[50],"flour.":[52,75],"Three":[53],"wavelength":[54],"selection":[55],"algorithms":[56],"were":[57,123,133,143],"respectively":[58],"combined":[59],"with":[60],"three":[61,71],"multivariate":[62],"regression":[63],"methodologies":[64],"to":[65],"construct":[66],"model":[69],"The":[76,117,149],"genetic":[77],"simulated":[78],"annealing":[79],"algorithm":[80],"was":[81],"applied":[82],"modeling":[84,90],"parameter":[85],"optimization":[86],"nonlinear":[89],"process.":[91],"Results":[92],"showed":[93],"that":[94],"combination":[96],"competitive":[98],"adaptive":[99],"reweighted":[100],"sampling":[101],"kernel":[103],"extreme":[104],"learning":[105],"machine":[106],"achieved":[107],"best":[109],"performance":[111],"ADA,":[113],"TalcP,":[114],"GypsumP.":[116],"prediction":[118,141],"set\u2019s":[119],"coefficients":[120],"0.9855,":[124],"0.9917,":[125],"0.9875;":[127],"root":[129],"mean":[130],"square":[131],"errors":[132],"0.0008,":[134],"0.1889,":[135],"0.2354;":[137],"residual":[140],"deviations":[142],"8.2928,":[144],"11.0041,":[145],"8.9388,":[147],"respectively.":[148],"accuracy":[151],"meets":[152],"requirements":[154],"practical":[156],"applications.":[157],"This":[158],"provides":[160],"scientific":[162],"basis":[163],"quality":[166],"strong":[169],"technical":[170],"support":[171],"safety":[175],"consumer":[177],"health.":[178]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}