{"id":"https://openalex.org/W4389286397","doi":"https://doi.org/10.3390/s23239584","title":"Rapid Detection of Total Viable Count in Intact Beef Dishes Based on NIR Hyperspectral Hybrid Model","display_name":"Rapid Detection of Total Viable Count in Intact Beef Dishes Based on NIR Hyperspectral Hybrid Model","publication_year":2023,"publication_date":"2023-12-03","ids":{"openalex":"https://openalex.org/W4389286397","doi":"https://doi.org/10.3390/s23239584","pmid":"https://pubmed.ncbi.nlm.nih.gov/38067956"},"language":"en","primary_location":{"id":"doi:10.3390/s23239584","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239584","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9584/pdf?version=1701587016","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/23/9584/pdf?version=1701587016","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022905589","display_name":"Wensong Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099012","display_name":"Institute of Food Science and Technology","ror":"https://ror.org/01s5dew76","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210099012","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wensong Wei","raw_affiliation_strings":["Key Laboratory of Agricultural Product Processing, Ministry of Agriculture/Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China","Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Agricultural Product Processing, Ministry of Agriculture/Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China","institution_ids":["https://openalex.org/I4210099012","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078562908","display_name":"Fengjuan Zhang","orcid":"https://orcid.org/0000-0002-7131-2592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fengjuan Zhang","raw_affiliation_strings":["Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102587139","display_name":"Fang-ting Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fangting Fu","raw_affiliation_strings":["Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102518187","display_name":"Shuo Sang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuo Sang","raw_affiliation_strings":["Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109248778","display_name":"Zhen Qiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhen Qiao","raw_affiliation_strings":["Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zibo Institute for Digital Agriculture and Rural Research, Zibo 255051, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022905589"],"corresponding_institution_ids":["https://openalex.org/I4210099012","https://openalex.org/I4210138501"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.4223,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78222517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"23","first_page":"9584","last_page":"9584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"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":0.9998999834060669,"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/T10333","display_name":"Meat and Animal Product Quality","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6857254505157471},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6096587181091309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5472825765609741},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5395969152450562},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"Coefficient of determination","score":0.5002100467681885},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.4470352232456207},{"id":"https://openalex.org/keywords/bacterial-colony","display_name":"Bacterial colony","score":0.437987357378006},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.41361361742019653},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28924840688705444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1999063491821289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19172683358192444},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12787654995918274},{"id":"https://openalex.org/keywords/bacteria","display_name":"Bacteria","score":0.09226563572883606}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6857254505157471},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6096587181091309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5472825765609741},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5395969152450562},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.5002100467681885},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.4470352232456207},{"id":"https://openalex.org/C2994463342","wikidata":"https://www.wikidata.org/wiki/Q354341","display_name":"Bacterial colony","level":3,"score":0.437987357378006},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.41361361742019653},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28924840688705444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1999063491821289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19172683358192444},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12787654995918274},{"id":"https://openalex.org/C523546767","wikidata":"https://www.wikidata.org/wiki/Q10876","display_name":"Bacteria","level":2,"score":0.09226563572883606},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002417","descriptor_name":"Cattle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002417","descriptor_name":"Cattle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002417","descriptor_name":"Cattle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002417","descriptor_name":"Cattle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019265","descriptor_name":"Spectroscopy, Near-Infrared","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s23239584","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239584","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9584/pdf?version=1701587016","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38067956","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38067956","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10708565","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10708565","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10708565/pdf/sensors-23-09584.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:c8ccaa1bbcc54ee89ac2cc37c1ffda22","is_oa":true,"landing_page_url":"https://doaj.org/article/c8ccaa1bbcc54ee89ac2cc37c1ffda22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 23, p 9584 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23239584","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239584","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9584/pdf?version=1701587016","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1680366343","display_name":null,"funder_award_id":"2022YFD2100205-01","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6132444488","display_name":null,"funder_award_id":"CAAS-ASTIP-G2022-IFST-08","funder_id":"https://openalex.org/F4320335848","funder_display_name":"Agricultural Science and Technology Innovation Program"},{"id":"https://openalex.org/G6510260859","display_name":null,"funder_award_id":"32201952","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8793253586","display_name":null,"funder_award_id":"CAAS-ASTIP-G2022-IFST","funder_id":"https://openalex.org/F4320323155","funder_display_name":"Chinese Academy of Agricultural Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323155","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335848","display_name":"Agricultural Science and Technology Innovation Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389286397.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1965786993","https://openalex.org/W1971824443","https://openalex.org/W1981203249","https://openalex.org/W1997270149","https://openalex.org/W1998483504","https://openalex.org/W2003542821","https://openalex.org/W2012865653","https://openalex.org/W2014444684","https://openalex.org/W2026469743","https://openalex.org/W2037275106","https://openalex.org/W2052916447","https://openalex.org/W2065623357","https://openalex.org/W2085158741","https://openalex.org/W2086857151","https://openalex.org/W2088088878","https://openalex.org/W2089503626","https://openalex.org/W2164958802","https://openalex.org/W2168497616","https://openalex.org/W2218012082","https://openalex.org/W2286738025","https://openalex.org/W2302084759","https://openalex.org/W2611632671","https://openalex.org/W2801809205","https://openalex.org/W2884355788","https://openalex.org/W2906314118","https://openalex.org/W2939007849","https://openalex.org/W2980121927","https://openalex.org/W3092295784","https://openalex.org/W3111908560","https://openalex.org/W3156150952","https://openalex.org/W3162319398","https://openalex.org/W3188592254","https://openalex.org/W3196470440","https://openalex.org/W3200007473","https://openalex.org/W3208099186","https://openalex.org/W4220709576","https://openalex.org/W4220831284","https://openalex.org/W4220946499","https://openalex.org/W4231453315","https://openalex.org/W4302363096"],"related_works":["https://openalex.org/W2801661703","https://openalex.org/W2378347222","https://openalex.org/W2360847790","https://openalex.org/W620177578","https://openalex.org/W2368189508","https://openalex.org/W2091044417","https://openalex.org/W2361631223","https://openalex.org/W2005343960","https://openalex.org/W2118461778","https://openalex.org/W2281753746"],"abstract_inverted_index":{"The":[0,130,147,159,233],"total":[1,29,60,172],"viable":[2,30,61],"count":[3,32,62],"(TVC)":[4],"of":[5,17,25,28,74,117,151,166,170,184,190,217,235,270,275],"bacteria":[6,31],"is":[7],"an":[8],"important":[9],"index":[10],"to":[11,56,112,179,196],"evaluate":[12],"the":[13,21,59,114,122,136,142,163,171,182,185,202,205,215,250,257,268],"freshness":[14],"and":[15,23,48,76,84,91,99,154,181,214,222,230,273],"safety":[16],"dishes.":[18],"To":[19],"improve":[20],"accuracy":[22,272],"robustness":[24],"spectroscopic":[26],"detection":[27],"in":[33,63,68,278],"a":[34,37,42,264],"complex":[35],"system,":[36],"new":[38],"method":[39,254],"based":[40,248],"on":[41,104,249],"near-infrared":[43],"(NIR)":[44],"hyperspectral":[45,83],"hybrid":[46,149,203,258],"model":[47,123,140,150,252,259],"Support":[49],"Vector":[50],"Machine":[51],"(SVM)":[52],"algorithms":[53,109],"was":[54,157],"developed":[55],"directly":[57],"determine":[58],"intact":[64,75],"beef":[65,242],"dish":[66],"samples":[67,78,119,132,138,153,156,173,243],"this":[69,236],"study.":[70],"Diffuse":[71],"reflectance":[72],"data":[73],"crushed":[77,131,152],"were":[79,110,133],"tested":[80],"by":[81,121,209,228],"NIR":[82],"processed":[85],"using":[86],"Multiplicative":[87],"Scattering":[88],"Correction":[89],"(MSC)":[90],"Competitive":[92],"Adaptive":[93],"Reweighted":[94],"Sampling":[95],"(CARS).":[96],"Kennard\u2013Stone":[97],"(KS)":[98],"Samples":[100],"Set":[101],"Partitioning":[102],"Based":[103],"Joint":[105],"X-Y":[106],"Distance":[107],"(SPXY)":[108],"used":[111],"select":[113],"optimal":[115],"number":[116],"standard":[118],"transferred":[120,134],"combined":[124,255],"with":[125,256],"root":[126],"mean":[127],"square":[128],"error.":[129],"into":[135],"complete":[137],"prediction":[139,174,276],"through":[141],"Direct":[143],"Standardization":[144],"(DS)":[145],"algorithm.":[146],"spectral":[148],"full":[155],"established.":[158],"results":[160,234],"showed":[161,238],"that":[162,239],"Determination":[164],"Coefficient":[165],"Calibration":[167],"(RP2)":[168],"value":[169,183,207],"set":[175],"increased":[176,227],"from":[177,194],"0.5088":[178],"0.8068,":[180],"Root":[186],"Mean":[187],"Square":[188],"Error":[189,224],"Prediction":[191],"(RMSEP)":[192],"decreased":[193,208],"0.2454":[195],"0.1691":[197],"log10":[198],"CFU/g.":[199],"After":[200],"establishing":[201],"model,":[204],"RMSEP":[206],"9.23%":[210],"more":[211],"than":[212],"before,":[213],"values":[216],"Relative":[218],"Percent":[219],"Deviation":[220],"(RPD)":[221],"Reaction":[223],"Relation":[225],"(RER)":[226],"12.12%":[229],"10.09,":[231],"respectively.":[232],"study":[237,262],"TVC":[240],"instewed":[241],"can":[244],"be":[245],"non-destructively":[246],"determined":[247],"DS":[251],"transfer":[253],"strategy.":[260],"This":[261],"provided":[263],"reference":[265],"for":[266],"solving":[267],"problem":[269],"poor":[271],"reliability":[274],"models":[277],"heterogeneous":[279],"samples.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}