{"id":"https://openalex.org/W4372215665","doi":"https://doi.org/10.1145/3584748.3584782","title":"Research and Analysis of Shelf Life Model Prediction Based on Arrhenius Equation","display_name":"Research and Analysis of Shelf Life Model Prediction Based on Arrhenius Equation","publication_year":2022,"publication_date":"2022-12-29","ids":{"openalex":"https://openalex.org/W4372215665","doi":"https://doi.org/10.1145/3584748.3584782"},"language":"en","primary_location":{"id":"doi:10.1145/3584748.3584782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584748.3584782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584748.3584782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3584748.3584782","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045173373","display_name":"Liangzi Zhang","orcid":"https://orcid.org/0000-0003-3074-1515"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangzi Zhang","raw_affiliation_strings":["Wuhan Business University, China"],"raw_orcid":"https://orcid.org/0000-0003-3074-1515","affiliations":[{"raw_affiliation_string":"Wuhan Business University, China","institution_ids":["https://openalex.org/I4210111616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054105733","display_name":"Yingying Zhou","orcid":"https://orcid.org/0000-0002-5255-7252"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Zhou","raw_affiliation_strings":["Wuhan Business University, China"],"raw_orcid":"https://orcid.org/0000-0002-5255-7252","affiliations":[{"raw_affiliation_string":"Wuhan Business University, China","institution_ids":["https://openalex.org/I4210111616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067328615","display_name":"Hongbing Dong","orcid":"https://orcid.org/0000-0003-1473-2862"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbing Dong","raw_affiliation_strings":["Wuhan Business University, China"],"raw_orcid":"https://orcid.org/0000-0003-1473-2862","affiliations":[{"raw_affiliation_string":"Wuhan Business University, China","institution_ids":["https://openalex.org/I4210111616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069534086","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0001-9399-2931"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Wuhan Business University, China"],"raw_orcid":"https://orcid.org/0000-0001-9399-2931","affiliations":[{"raw_affiliation_string":"Wuhan Business University, China","institution_ids":["https://openalex.org/I4210111616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210111616"],"apc_list":null,"apc_paid":null,"fwci":2.0092,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89244851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10900","display_name":"Listeria monocytogenes in Food Safety","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1305","display_name":"Biotechnology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10900","display_name":"Listeria monocytogenes in Food Safety","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1305","display_name":"Biotechnology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"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":0.9771999716758728,"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/arrhenius-equation","display_name":"Arrhenius equation","score":0.7596118450164795},{"id":"https://openalex.org/keywords/shelf-life","display_name":"Shelf life","score":0.6798075437545776},{"id":"https://openalex.org/keywords/cold-chain","display_name":"Cold chain","score":0.5079382061958313},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48558300733566284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4774237871170044},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4624410569667816},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4610177278518677},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44605568051338196},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4363182783126831},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4279824197292328},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.41350793838500977},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.36838215589523315},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35397714376449585},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.33585673570632935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28655102849006653},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.180526465177536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1626572608947754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14484581351280212},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12908929586410522},{"id":"https://openalex.org/keywords/activation-energy","display_name":"Activation energy","score":0.11755990982055664},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1139969527721405},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.10072973370552063}],"concepts":[{"id":"https://openalex.org/C86183883","wikidata":"https://www.wikidata.org/wiki/Q507505","display_name":"Arrhenius equation","level":3,"score":0.7596118450164795},{"id":"https://openalex.org/C115930662","wikidata":"https://www.wikidata.org/wiki/Q1689021","display_name":"Shelf life","level":2,"score":0.6798075437545776},{"id":"https://openalex.org/C2780114722","wikidata":"https://www.wikidata.org/wiki/Q592197","display_name":"Cold chain","level":2,"score":0.5079382061958313},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48558300733566284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4774237871170044},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4624410569667816},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4610177278518677},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44605568051338196},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4363182783126831},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4279824197292328},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.41350793838500977},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.36838215589523315},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35397714376449585},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.33585673570632935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28655102849006653},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.180526465177536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1626572608947754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14484581351280212},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12908929586410522},{"id":"https://openalex.org/C95121573","wikidata":"https://www.wikidata.org/wiki/Q190474","display_name":"Activation energy","level":2,"score":0.11755990982055664},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1139969527721405},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.10072973370552063},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584748.3584782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584748.3584782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584748.3584782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3584748.3584782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584748.3584782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584748.3584782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5299999713897705,"display_name":"Zero hunger"},{"id":"https://metadata.un.org/sdg/12","score":0.4099999964237213,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320329538","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4372215665.pdf","grobid_xml":"https://content.openalex.org/works/W4372215665.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1964851260","https://openalex.org/W2047417328","https://openalex.org/W2049171922","https://openalex.org/W2164337155","https://openalex.org/W2795157941","https://openalex.org/W2884580879","https://openalex.org/W2887773390","https://openalex.org/W3204309100"],"related_works":["https://openalex.org/W4312138033","https://openalex.org/W2235546141","https://openalex.org/W2789825376","https://openalex.org/W4249545720","https://openalex.org/W3126954492","https://openalex.org/W2370001102","https://openalex.org/W2782273007","https://openalex.org/W2765557188","https://openalex.org/W1970763357","https://openalex.org/W2189352093"],"abstract_inverted_index":{"The":[0,82],"shelf":[1,40,95],"life":[2,96],"of":[3,9,32,63,72,75,89],"food":[4,77],"will":[5],"undergo":[6],"a":[7,39,53,61,120],"series":[8],"quality":[10,74],"changes":[11,13],"with":[12],"in":[14,29],"storage":[15,80],"temperature":[16],"and":[17,52,99],"time,":[18,103],"which":[19,118],"is":[20,109],"an":[21],"important":[22],"factor":[23],"that":[24,85],"needs":[25],"to":[26,59,67,122],"be":[27,115],"considered":[28],"the":[30,47,69,73,86,90,94,101,105,111],"process":[31],"cold":[33],"chain":[34],"logistics.":[35],"In":[36],"this":[37],"thesis,":[38],"prediction":[41],"model":[42,44,56,91],"kinetic":[43],"based":[45],"on":[46],"Arrhenius":[48],"equation":[49],"was":[50,57],"established,":[51],"linear":[54],"regression":[55],"used":[58],"fit":[60],"variety":[62],"biological":[64],"experimental":[65],"data":[66],"discuss":[68],"changing":[70],"law":[71],"pretreated":[76],"under":[78],"different":[79],"temperatures.":[81],"results":[83,88],"show":[84],"calculation":[87,108,112],"can":[92,114],"predict":[93],"more":[97],"accurately,":[98],"at":[100],"same":[102],"because":[104],"complex":[106],"integral":[107],"avoided,":[110],"consumption":[113],"significantly":[116],"reduced,":[117],"provides":[119],"way":[121],"think":[123],"about":[124],"related":[125],"research.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}