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Optimization of stripline-based microfluidic chips for high-resolution NMR.

J Bart¹, J W G Janssen, P J M van Bentum

¹MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)

|September 30, 2009

Summary

We developed a new microfluidic Nuclear Magnetic Resonance (NMR) probe using stripline technology on silicon. This optimized probe achieves high sensitivity and resolution, enabling advanced 2D-NMR analysis.

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Area of Science:

Analytical Chemistry
Materials Science
Spectroscopy

Background:

Microfluidic devices offer advantages for Nuclear Magnetic Resonance (NMR) spectroscopy due to reduced sample volume and enhanced sensitivity.
Traditional NMR probes face limitations in sensitivity and sample throughput for microscale applications.
Stripline resonators present a promising geometry for miniaturized NMR probes, but require careful optimization.

Purpose of the Study:

To optimize and fabricate a stripline-based microfluidic NMR probe on a silicon substrate.
To characterize the probe's radiofrequency (rf) homogeneity, sensitivity, and spectral resolution.
To evaluate the probe's suitability for advanced NMR analyses, such as 2D-NMR.

Main Methods:

Modeling of stripline geometry to optimize rf-homogeneity, sensitivity, and spectral resolution.

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Fabrication of an integrated microfluidic chip based on optimized parameters.

Experimental characterization of the probe's performance metrics.

Main Results:

Optimal dimensional ratios for the stripline geometry were determined, applicable across various sample sizes.
A sensitivity of 0.47 nmol/sqrt(Hz) and a spectral resolution of 0.7 Hz were achieved.
An rf-homogeneity of 76% (A(810 degrees)/A(90 degrees)) was measured, demonstrating suitability for 2D-NMR.

Conclusions:

The developed stripline-based microfluidic NMR probe demonstrates excellent performance metrics.
The optimized design and fabrication process enable high-sensitivity and high-resolution NMR analysis at the microscale.
This technology is well-suited for complex analyses, including 2D-NMR of analytes like glucose.