LC-MS/MS, QE experimental services

Liquid chromatography-mass spectrometry (LC-MS/MS, QE)Experimental services

Experimental significance:

The mass spectrometry method has high sensitivity, resolution, and wide application range for protein qualitative and quantitative detection. It is of great significance for discovering disease biomarkers and studying drug metabolism, and has good clinical application prospects.

2. For life sciences Proteomics and other fields provide powerful analytical and testing methods.

Experimental principle:

LC-MS (Liquid Chromatography-Mass Spectrometry)Tandem mass spectrometry (HPLC-MS) uses liquid chromatography as the separation system and mass spectrometry as the detection system. By combining the separation ability of chromatography for complex samples with the high sensitivity of mass spectrometry and the ability to provide relative molecular weight and structural information, the advantages of chromatography and mass spectrometry are combined. Q Exactive LC-MS-MS combines high-performance quaternary ion selectivity with high-resolution accurate mass number (HR/AM) Orbitrap detection technology, providing fast scanning and multiple detection capabilities. It is suitable for proteomics, drug metabolomics, clinical research applications, etc. It can perform qualitative and quantitative analysis of proteins and metabolites, and is more suitable for analyzing post-translational modifications of proteins than MALDI. It is also more suitable for screening biomarkers and quantitative proteomics.

Result display:

Q Exactive LC-MS-MsI[1]

Experimental completion cycle and delivery standards:

1. Experimental period:--The time for general protein identification is 5-7 days, and the specific time depends on the experimental design

2. Delivery standards: result images, identification results, experimental reports (reagents, consumables, experimental steps), relevant mass spectrometry parameters, raw data, etc.

Information to be confirmed:

1. Select the mass spectrometry model based on the experimental design.

2. Whether quantitative analysis and subsequent bioinformatics analysis services are needed.

Experimental outsourcing service: