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Updated: May 9, 2025

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的元素和代谢指纹的数据与随机森林方法的数据融合

Florian Gärber1, Bernadette Bockmayr1, Marina Creydt1

  • 1Hamburg School of Food Science, University of Hamburg, Grindelallee 117, Hamburg, 20146, Germany.

Analytica chimica acta
|May 2, 2025
PubMed
概括

结合ICP-MS和LC-MS的元素和代谢学数据,可以提高食品的真实性. 数据融合使的地理原产地分类准确度从88%提高到92.3%.

关键词:
草是一种草.数据融合数据融合功能选择 功能选择食品认证的真实性 食品认证的真实性同位素组合物质是同位素组合物质.代谢学 代谢学 代谢学随机的森林随机的森林替代最小深度的替代品

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Atomic Absorption Spectroscopy: Lab01:21

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For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
 Solutions containing organic solvents, such as low-molecular-mass alcohols, esters, or ketones, enhance absorbances by increasing...
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