Milk Metabolomics Analysis by LC-MS

Milk samples were analyzed for specific components using an LC–MS platform (Thermo, Ultimate 3000 LC, Q Exactive), and sample preparation was performed as per our previously published procedure (Wang et al. 2018 (link); Tong et al. 2019 (link)). The following steps were conducted by Majorbio Bio-Pharm Technology Co., Ltd. Analysis of metabolomics data was performed with Progenesis QI (Waters Corporation, Milford, USA) to match MS and MS/MS mass spectrum information with that in the metabolism database. The retention time (RT), m/z, observation data (samples) and peak intensity were normalized using Microsoft Excel 2017. Screened differential metabolites were characterized using the https://metlin.scripps.edu/public database, a self-built database for the Majorbio I-Sanger Cloud Platform (www.i-sanger.com) and KEGG pathway analysis (www.metaboanalyst.ca/).

Free full text: Click here

Hou K., Tong J., Zhang H., Gao S., Guo Y., Niu H., Xiong B, & Jiang L. (2020). Microbiome and metabolic changes in milk in response to artemisinin supplementation in dairy cows. AMB Express, 10, 154.

Publication 2020

Ultimate 3000 LC Progenesis QI

Mass spectrum Metabolism Milk Ms ms Retention

Corresponding Organization :

Other organizations : Beijing University of Agriculture, Chinese Academy of Agricultural Sciences

Top 5 similar protocols

Variable analysis

independent variables

None explicitly mentioned

dependent variables

Specific components of milk samples

control variables

None explicitly mentioned

controls

No positive or negative controls were explicitly mentioned in the provided information.

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!