Planar chip device for PCR and hybridization with surface acoustic wave pump
Zeno Guttenberg1, Helena Muller, Heiko Habermüller
1Advalytix AG, Eugen-Sanger-Ring 4, 85649 Brunnthal, Germany. guttenberg@advalytix.de
Lab on a Chip
|February 24, 2005
Summary
This study introduces a novel microfluidic device using surface acoustic waves for rapid DNA amplification and analysis. The chip enables sensitive detection of genetic variations, like the SNP causing Leiden Factor V syndrome, from small blood volumes.
Area of Science:
- Biotechnology
- Microfluidics
- Molecular Diagnostics
Background:
- Traditional microfluidic devices often rely on complex channel networks.
- Efficient manipulation and analysis of small fluid volumes are crucial for advanced diagnostics.
Purpose of the Study:
- To develop a microfluidic device utilizing surface acoustic waves (SAW) on a planar surface for integrated biological analyses.
- To demonstrate the chip's capability for sensitive and rapid DNA amplification (PCR) and hybridization.
Main Methods:
- A microfluidic device was fabricated on a lithium niobate (LiNbO3) piezoelectric substrate.
- Surface acoustic waves (SAW) were employed for droplet manipulation and mixing.
- Integrated thin-film resistance heaters enabled temperature cycling for PCR and hybridization.
- Mineral oil encapsulation prevented reagent evaporation during high-temperature processes.
Main Results:
- The chip successfully performed highly sensitive, fast, and specific polymerase chain reaction (PCR) with volumes as low as 200 nl.
- Online monitoring of DNA concentration during PCR achieved a sensitivity of 0.1 ng.
- The device detected a single nucleotide polymorphism (SNP) associated with Leiden Factor V syndrome in human blood samples.
Conclusions:
- The developed planar microfluidic chip offers an efficient platform for integrated DNA amplification and analysis.
- SAW technology combined with microheaters provides precise control over fluid manipulation and thermal cycling.
- This approach enables sensitive genetic analysis from minimal sample volumes, with potential applications in disease diagnostics.


