applications of cavity-enhanced direct frequency comb spectroscopy kevin cossel ye group...
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Applications of Cavity-Enhanced Direct Frequency Comb
Spectroscopy
Kevin Cossel
Ye Group
JILA/University of Colorado-Boulder
OSU Symposium on Molecular Spectroscopy 2010
What is CE-DFCS?
The 3 building blocks of Cavity-Enhanced Direct Frequency Comb Spectroscopy:
1 Mode-locked laser (frequency comb)
2 High-finesse enhancement cavity
3 Dispersive detection system
M. J. Thorpe and J. Ye, Appl. Phys B 91, 397 (2008)
Benefits of frequency combs
from S. T. Cundiff, J. Ye, and J. L. Hall, Scientific American, Apr 2008
Single ultrashort pulse Train of pulses
Frequency combs provide narrow lines over a wide spectral bandwidth:
• High resolution• Broad bandwidth• Rapid acquisition• Spatially coherent
Multi-species detection with high sensitivity in near real time
Cavity-comb coupling
Frequency Domain
Frequency comb
Cavity modes
Time Domain
Jones & Ye, Opt. Lett. 27, 1848 (2002).
Mode-locked laser
inT
dd
cL
cFSR
2
Cavity mode structure:Frequency comb structure:
orn fnf
Thorpe et al., Opt. Express. 13, 882 (2005).
Adler et al., Annu. Rev. Anal. Chem. 3, 175 (2010).
Trace gas detection in arsineExperimental setup:• 250-MHz-Er:fiber laser with highly nonlinear fiber (≈1.2-2.0 µm)• cavity with peak Finesse of 45000 spanning 1.78-1.95 µm• arsine extremely toxic set up in specialty lab at NIST (Optoelectronics Division, K. Bertness)
45000F
Mirror data
Laser spectrum
VIPA FSR
2D Spectrometer
Mode-locked laser VIPA spectrometer
High finesse optical cavitywith intra-cavity gas sample
>3000 channels simultaneously (typically 25 nm bandwidth)~1 GHz resolution
S. A. Diddams et al., Nature 445, 627 (2007)M. J. Thorpe et al., Opt. Express 16, 2387 (2008)
Arsine Results ICoverage from 1.74-1.97 µm (5050-5750 cm-1)
Absorption sensitivity of 110-7 cm-1 Hz-1/2 in nitrogen over 3000 simultaneous channels
Measurement of H2O, CH4, CO2, H2S in nitrogen with minimum detectable concentrations from 7 ppb to 700 ppb
Arsine Results II
Detection level for water in arsine of 31 ppbK.C. Cossel et al., Appl Phys B, in press (2010).
Application: breath analysisMedical research has (maybe) identified many molecules as markers for certain diseases in breath.
Our focus: lung cancer & COPD
Collaborators:
CU Medical School (O. Reiss, J. Repine)
CU Cancer Center (N. Peled)
Samples: from cell cultures, rats, and humans
What are the challenges?
• many molecules present in breath samples
• complex molecules have “messy” spectra
• recognize molecule spectra
• bottom line: Can we definitely link certain molecules to cancer?
Application: breath analysis
Develop CE-DFCS system in the mid-IR
Why use comb spectroscopy?
• simultaneous detection of multiple molecule species
(generate marker pattern!)
• high sensitivity (fundamental mid-IR band!)
• fast acquisition (compared to GC-MS)
• high resolution (separate mixtures)
First test with NIR comb: M. J. Thorpe et al., Opt. Express 16, 2387 (2008)
Important atmospheric measurements
• Isotope ratios (13C, 18O)
• Greenhouse gases (CH4, CO2, N2O)
• Pollutants (formaldehyde, benzene, acetone, NOx, nitric acid, etc.)
• Primary organics (e.g., isoprene) lead to aerosol formation
• Need fast acquisition over a broad bandwidth with high resolution in the mid-IR
Mid-infrared OPOPower and efficiency Spectral tunability
• Fan-out PPLN crystal; 10 W Yb:fiber pump• more than 1 W over 1 µm tuning range• continuous tunability from 2.8 to 4.8 µm (0.3 µm bandwidth)
Fourier Transform Spectrometer• 22 bit, 1 MS/s digitization
• 160 MHz resolution
• 10 s sweep time
• Broad spectral acquisition
Frequency Comb• Enhancement cavity or multipass cell
• High spectral brightness = short averaging time
Mid-IR Results IIAtmospheric Atmospheric
•Multiline detection advantage•~30 scan time•3.8×10-8 cm-1 Hz-1/2 per 45,000 spectral elements•Detection limits: H2CO (40 ppb), CH4 (5 ppb), Isoprene (7 ppb), CO2 (< 1 ppb), CH3OH (350 ppb single line or 40 ppb), …
Summary• CE-DFCS provides a unique combination
of broad bandwidth, high resolution, high sensitivity and rapid data acquisition
• Detection of many species and complex mixtures in near real time
Collaborations:Scott Diddams (NIST)Martin Fermann (IMRA)Ingmar Hartl (IMRA)Axel Ruehl (IMRA)Ronald Holzwarth (Menlo)Kris Bertness (NIST - Arsine)Jun Feng (Matheson - Arsine)Mark Raynor (Matheson -Arsine)Miao Zhu (Agilent)
CE-DFCS:Mike ThorpeFlorian AdlerPiotr MaslowskiAleksandra FoltynowiczTravis BrilesKevin MollDavid Balslev-ClausenMatt Kirchner
Funding: NSF, AFOSR, NIST, DARPA, DTRA, Agilent