Eleanor Dunlop, Judy Cunningham, Paul Adorno, Shari Fatupaito, Stuart K Johnson, Lucinda J Black
{"title":"为澳大利亚种植的园艺产品开发最新的综合食品成分数据库","authors":"Eleanor Dunlop, Judy Cunningham, Paul Adorno, Shari Fatupaito, Stuart K Johnson, Lucinda J Black","doi":"arxiv-2402.06169","DOIUrl":null,"url":null,"abstract":"Australian agriculture supplies many horticultural commodities to domestic\nand international markets; however, food composition data for many commodities\nare outdated or unavailable. We produced an up-to-date, nationally\nrepresentative dataset of up to 148 nutrients and related components in 92\nAustralian-grown fruit (fresh n=39, dried n=6), vegetables (n=43) and nuts\n(n=4) by replacing outdated data (pre-2000), confirming concentrations of\nimportant nutrients and retaining relevant existing data. Primary samples (n =\n902) were purchased during peak growing season in Sydney, Melbourne and Perth\nbetween June 2021 and May 2022. While new data reflect current growing\npractices, varieties, climate and analytical methods, few notable differences\nwere found between old and new data where methods of analysis are comparable.\nThe new data will be incorporated into the Australian Food Composition\nDatabase, allowing free online access to stakeholders. The approach used could\nserve as a model for cost-effective updates of national food composition\ndatabases worldwide.","PeriodicalId":501219,"journal":{"name":"arXiv - QuanBio - Other Quantitative Biology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of an updated, comprehensive food composition database for Australian-grown horticultural commodities\",\"authors\":\"Eleanor Dunlop, Judy Cunningham, Paul Adorno, Shari Fatupaito, Stuart K Johnson, Lucinda J Black\",\"doi\":\"arxiv-2402.06169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Australian agriculture supplies many horticultural commodities to domestic\\nand international markets; however, food composition data for many commodities\\nare outdated or unavailable. We produced an up-to-date, nationally\\nrepresentative dataset of up to 148 nutrients and related components in 92\\nAustralian-grown fruit (fresh n=39, dried n=6), vegetables (n=43) and nuts\\n(n=4) by replacing outdated data (pre-2000), confirming concentrations of\\nimportant nutrients and retaining relevant existing data. Primary samples (n =\\n902) were purchased during peak growing season in Sydney, Melbourne and Perth\\nbetween June 2021 and May 2022. While new data reflect current growing\\npractices, varieties, climate and analytical methods, few notable differences\\nwere found between old and new data where methods of analysis are comparable.\\nThe new data will be incorporated into the Australian Food Composition\\nDatabase, allowing free online access to stakeholders. The approach used could\\nserve as a model for cost-effective updates of national food composition\\ndatabases worldwide.\",\"PeriodicalId\":501219,\"journal\":{\"name\":\"arXiv - QuanBio - Other Quantitative Biology\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Other Quantitative Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2402.06169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Other Quantitative Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2402.06169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of an updated, comprehensive food composition database for Australian-grown horticultural commodities
Australian agriculture supplies many horticultural commodities to domestic
and international markets; however, food composition data for many commodities
are outdated or unavailable. We produced an up-to-date, nationally
representative dataset of up to 148 nutrients and related components in 92
Australian-grown fruit (fresh n=39, dried n=6), vegetables (n=43) and nuts
(n=4) by replacing outdated data (pre-2000), confirming concentrations of
important nutrients and retaining relevant existing data. Primary samples (n =
902) were purchased during peak growing season in Sydney, Melbourne and Perth
between June 2021 and May 2022. While new data reflect current growing
practices, varieties, climate and analytical methods, few notable differences
were found between old and new data where methods of analysis are comparable.
The new data will be incorporated into the Australian Food Composition
Database, allowing free online access to stakeholders. The approach used could
serve as a model for cost-effective updates of national food composition
databases worldwide.