A droplet-based microfluidic chip as a platform for leukemia cell lysate identification using surface-enhanced Raman...

Area of Science:

• Analytical Chemistry
• Biotechnology
• Spectroscopy

Background:

• Cell lysate identification is crucial for disease diagnostics.
• Traditional methods can be time-consuming and require large sample volumes.
• Developing rapid, sensitive, and reproducible analytical techniques is essential.

Purpose of the Study:

• To develop a novel droplet-based microfluidic platform for SERS analysis of cell lysates.
• To achieve high-throughput and accurate classification of leukemia cell lines.
• To demonstrate the potential of this method for robust disease diagnostics.

Main Methods:

• Utilized SERS-active silver nanoparticles and a droplet-based microfluidic chip for sample handling.
• Generated 80-nanoliter droplets containing cell lysate, silver nanoparticles, and KCl.
• Acquired thousands of SERS spectra using 785 nm excitation and analyzed with principal component analysis and support vector machine.

Main Results:

• Achieved high experimental reproducibility across three batches of three leukemia cell lines.
• Demonstrated classification sensitivities, specificities, and accuracies exceeding 99% for differentiating leukemia cell lines.
• Principal component analysis effectively separated cell lysates based on SERS spectral variations.

Conclusions:

• The developed SERS-based microfluidic platform offers a highly accurate and reproducible method for cell lysate identification.
• This approach shows significant promise for sensitive and robust leukemia diagnostics.
• The technique is adaptable for analyzing complex biological samples and potentially single cells.