Liquid chromatography-mass spectrometry (LC-MS) has revolutionized proteomics research by enabling the identification and quantification of proteins in complex biological samples. However, traditional protein sample preparation methods can be time-consuming and labor-intensive, posing significant challenges when dealing with large sample cohorts or time-sensitive experiments. In response to these demands, rapid protein sample preparation techniques have emerged, offering researchers efficient and streamlined workflows without compromising data quality.

The challenges of traditional protein sample preparation: 

• Traditional protein sample preparation typically involves several steps, including cell lysis, protein extraction, protein purification, and enzymatic digestion. 

• While these methods have been widely used and validated, they often require extensive manual labor, are prone to sample loss or contamination, and can be time-consuming, limiting the throughput and efficiency of protein analysis workflows. 

• Additionally, the use of harsh chemicals and multiple sample handling steps can introduce variability and affect protein stability, potentially impacting downstream LC-MS analysis results.

• Preparing labelled samples over an extended time period with a complex method leads to variation in results. 

• This challenge is exacerbated with large numbers of samples and small starting amount of input material.