five

Allergen detection in commercial foods

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.omicsdi.org/dataset/pride/PXD007688
下载链接
链接失效反馈
官方服务:
资源简介:
The frequent use of precautionary food allergen labeling statements such as “may contain” poses challenges to allergic individuals relying on such labeling to determine whether a food is safe to consume. To survey the frequency at which these precautionary statements indicate allergen contamination in commercial foods we developed a multiplexed liquid chromatography-mass spectrometry assay targeting 14 common allergens. For each allergen, we selected two or more tryptic peptides belonging to two or more clinically-recognized allergenic proteins by following one of two approaches. For certain allergenic proteins, a wealth of existing mass spectrometry literature suggests ideal tryptic peptide targets. In these cases, such for milk proteins Bos d 5 and Bos d 9, as well as peanut protein Ara h 3, we chose peptides using the Allergen Peptide Browser (APB), a freely available online database we developed. To choose peptides for the remaining allergenic proteins, as well as validate our choices, we applied shotgun proteomics to pure allergen protein extracts of the aforementioned allergens.
创建时间:
2019-07-17
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作