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开发一个更新的、全面的澳大利亚种植园艺商品食物成分数据库。

Development of an updated, comprehensive food composition database for Australian-grown horticultural commodities.

机构信息

Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia; Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA 6102, Australia.

Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA 6102, Australia.

出版信息

Food Chem. 2025 Jan 15;463(Pt 3):141398. doi: 10.1016/j.foodchem.2024.141398. Epub 2024 Sep 21.

DOI:10.1016/j.foodchem.2024.141398
PMID:39332377
Abstract

Australia supplies horticultural commodities to domestic and international markets; however, food composition data for many commodities are outdated or unavailable. We produced a nationally representative dataset of up to 148 nutrient components in 92 Australian-grown fruit (fresh n = 39, dried n = 6), vegetables (n = 43) and nuts (n = 4) by replacing outdated data (pre-2000), confirming concentrations of important nutrients and retaining relevant existing data.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. The new data reflect current growing practices, varieties, climate and analytical methods, and will be incorporated into the Australian Food Composition Database, allowing free online access to stakeholders. The decisions made in building the new database are outlined, along with considerations when updating food composition data for horticultural commodities. The approach used could serve as a model for cost-effective updates of national food composition databases worldwide.

摘要

澳大利亚向国内外市场供应园艺商品;然而,许多商品的食品成分数据已经过时或无法获得。我们通过替换过时的数据(2000 年前),在全国范围内对 92 种澳大利亚种植的水果(新鲜 n=39,干 n=6)、蔬菜(n=43)和坚果(n=4)进行了多达 148 种营养成分的全国代表性数据集,证实了重要营养素的浓度,并保留了相关的现有数据。主要样本(n=902)于 2021 年 6 月至 2022 年 5 月在悉尼、墨尔本和珀斯的生长高峰期购买。新数据反映了当前的种植实践、品种、气候和分析方法,将被纳入澳大利亚食品成分数据库,供利益相关者免费在线访问。概述了构建新数据库的决策,以及更新园艺商品食品成分数据时需要考虑的因素。所采用的方法可以作为全球具有成本效益的国家食品成分数据库更新的模型。

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