High Precision in Raman Frequency Achieved Using Real-Time Calibration with a Neon Emission Line: Application to ThreeDimensional Stress Mapping Observations SHOKO ODAKE, SATOSHI FUKURA, and HIROYUKI KAGI* Geochemical Laboratory, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Tokyo 113-0033, Japan A three-dimensional (3D) Raman mapping system with a real-time calibration function was developed for detecting stress distributions in solid materials from subtle frequency shifts in Raman spectra. An atomic emission line of neon at 918.3 cm1 when excited at 514.5 nm was used as a wavenumber standard. An emission spectrum of neon and a Raman spectrum from a sample were introduced into a single polychromator using a bifurcated optical fiber. These two spectra were recorded simultaneously on a charge-coupled device (CCD) detector using double-track mode. Energy deviation induced by the fluctuation of laboratory temperature, etc., was removed effectively using the neon emission line. High stability during long measurements was achieved. By applying curve fitting, positions of the Raman line were determined with precision of about 0.05 cm1. The present system was applied to measurements of residual pressure around mineral inclusions in a natural diamond: 3D stress mapping was achieved. Index Headings: Raman spectroscopy; Three-dimensional mapping; 3D mapping; Two-dimensional mapping; 2D mapping; High precision. INTRODUCTION Raman spectroscopy measures molecular and lattice vibrations by detecting the frequency of inelastically scattered light. It is sensitive to the detection of internal stress in a material. In particular, micro-Raman spectroscopy has a high spatial resolution on the order of 1 lm; furthermore, the precise determination of frequency of Raman band enables nondestructive mapping observations of stress in solid-state materials. Local mechanical stress in semiconductor materials has been evaluated using micro-Raman spectroscopy. Uniaxial stress in the [100] direction of silicon causes a peak shift of 1 cm1 for the first-order Raman peak at 520 cm1.1 Using a very sensitive and stable instrument, it is possible to detect a stress of 25 MPa and a strain of 104 from the Raman peak shift of 0.05 cm1. Nevertheless, it is extremely difficult to achieve such an ideal measurement, as described in this paper. Micro-Raman spectroscopy has also been applied to mineralogical samples originating from deep in the Earth in order to measure the distribution of residual stress around an inclusion in a host mineral and decipher the original depth at which the inclusion was trapped in the host mineral. Diamond is a good sample that can retain a measurable stress distribution around the trapped inclusions. Diamond is chemically and physically stable; it can encapsulate mantle-originated minerals during transport to the surface of the Earth. The residual pressure retained in inclusions might be the same as the confining pressure acting upon the host diamond when the inclusions and the host diamond were formed at some initial temperature and pressure. Later, the diamonds rose to the Received 4 April 2008; accepted 28 July 2008. * Author to whom correspondence should be sent. E-mail: kagi@eqchem. s.u-tokyo.ac.jp. 1084 Volume 62, Number 10, 2008 Earth’s surface. The pressure inside the inclusion is expected to differ from that in the host diamond because compressibilities and thermal expansivities of the inclusions and diamond are different. For this reason, residual stresses on the order of 1 GPa around various types of inclusions in natural diamonds have been reported.2–6 Recently, two-dimensional (2D) Raman mapping of diamond samples has disclosed the stress distribution around mineral inclusions by mapping the peak shift of Raman spectra of diamond.7 High resolution and precision are necessary for determining peak positions of Raman spectra to measure the residual stress in materials from Raman spectra. In general, the spectral resolution of Raman spectra is constrained by the groove number of a grating, the length of a spectrometer, the pixel size of a charge-coupled device (CCD) detector, etc. On the other hand, the reproducibility of the frequency of a Raman band is considerably biased by the laboratory environment. Fukura et al.8 reported that the Raman shift drifts in synchronization with a deviation of laboratory temperature and that the drifts are not negligible for studying subtle frequency shifts. According to their study, a periodical temperature change in a laboratory with an amplitude of 0.8 8C caused oscillation of the Raman frequency of 0.1 cm1. This oscillation is considerably large when observing the stress distribution from a subtle frequency shift of Raman spectra. This deviation in Raman shift corresponds to 35 MPa for diamond and 32 MPa for olivine.9,10 The fluctuation of laboratory temperature can impart considerable effects on the evaluation of stress distribution obtained from Raman spectra. In general, residual stress in a solid is three-dimensionally heterogeneous because of the anisotropic elastic properties of crystals. Consequently, three-dimensional (3D) Raman mapping is necessary for detailed and precise estimation of stress distributions. Raman imaging techniques are separable into three groups: point-by-point illumination, line illumination, and plane illumination.11 Point-by-point illumination, which obtains mapping data through sequential translation of the sample stage, provides the best spatial resolution, but much time is necessary to scan a sample. The other two methods can save considerable amounts of time used for mapping measurements. Nevertheless, we adopt the point-by-point illumination for achieving the best spatial resolution. A 3D Raman measurement using point-by-point illumination requires a long time (e.g., tens of hours or more depending on the sample size and increment of measurements); the peak oscillation induced by changes in room temperature, as described above, can substantially influence the measurement. Additional stability and precision in acquiring Raman spectra are necessary for 3D Raman mapping measurements. The present study is intended to develop a new system that can remove spectral fluctuation attributable to the laboratory 0003-7028/08/6210-1084$2.00/0 Ó 2008 Society for Applied Spectroscopy APPLIED SPECTROSCOPY FIG. 1. Schematic diagram of the experimental setup for sequential wavenumber calibration. See text for details. environment and reveal the 3D stress distribution using-micro Raman spectroscopy. EXPERIMENTAL PROCEDURES Real-time calibration was applied to a spectrometer to reduce the deviation of Raman frequency induced by the laboratory environment and achieve stability in determining Raman frequency. Neon emission spectra were chosen as an absolute wavelength standard during measurements because wavelengths of these emission lines are practically independent of the laboratory environment. A Raman spectrum from a sample and an emission spectrum from a neon lamp were collected simultaneously using a CCD detector, and real-time calibration was performed during each exposure of a spectrum to cancel out the frequency deviation induced by changes in the laboratory environment. Micro-Raman Measurement System. The micro-Raman system comprises an optical microscope (BX60; Olympus Corp.), a 30 cm single polychromator (250is; Chromex), an Ar þ laser (5500A; Ion Laser Technology, Inc.), and a silicon-based charge-coupled device (CCD) camera capable of capturing images of 1024 3 128 pixels (DU-401-BR-DD; Andor Technology). The excitation laser beam was focused on a spheroidal spot of approximately 2 3 2 3 10 lm in volume using a 503 objective lens (NA ¼ 0.80; Olympus Optical Co. Ltd.). The slit width of the spectrometer was fixed at 130 lm. Scattered light was dispersed using a grating with 1800 grooves per millimeter. The spectral resolution was approximately 1.5 cm1 per pixel. Samples were excited using 514.5 nm emission of an Ar þ ion laser. The laser power was about 5 mW at the sample surface, which is sufficiently below the threshold for the heat-induced spectral change. The Rayleigh line was removed using a holographic high-pass filter (HIPF-514.5-1.0; Kaiser Optical Systems, Inc.). The CCD camera was cooled electronically to 70 8C using a Peltier device for thermal noise reduction. Before measurements, the Raman shift was initially calibrated using five Raman bands of naphthalene (C10H8) at 513.8, 763.8, 1021.6, 1382.2, and 1464.5 cm1. The peak position of the Raman band of the diamond sample was determined by curve fitting using a Gaussian function. The average full width at half-maximum (FWHM) value of the fitted Gaussian peak was 2.9 pixels. Although the spectral resolution of the spectrometer is 1.5 cm1 per pixel, the center FIG. 2. Emission spectrum of a neon lamp. Three measurable emission lines were observed at 676.0, 712.2, and 918.3 cm1 in Raman shift. of the fitted Gaussian curve can be determined with much higher precision, typically 0.05 cm1, unless Raman frequency is perturbed by the laboratory temperature.8,12,13 Neon Emission Spectra for the Absolute Wavelength Standard. Neon emission spectra as the wavelength calibrator and Raman scattering signal were introduced simultaneously into the spectrometer using a bifurcated optical fiber made entirely of silica. Emission from a compact neon lamp was introduced into one branch of the bifurcated optical fiber. The Raman signal from a sample was introduced into another branch of the bifurcated optical fiber. The other end of the fiber was connected to a polychromator; signals from the neon lamp and Raman scattering were directed simultaneously into the polychromator and imaged as two independent rows of bands on a CCD detector. These two rows of spectra were read out independently and do not interfere with each other (see Fig. 1). Three-Dimensional Measurement System. A computercontrolled, motorized XY sample stage (FC-101G; Sigma Koki Co. Ltd.) was installed on the optical microscope; the stage can be manipulated by 0.1 lm steps with accuracy. Additionally, the stage height (Z-axis) was controlled using an autofocus controller (AF/r; Flovel Co. Ltd.). The minimum spatial resolution of the Z-stage is 0.05 lm. Focusing on the sample surface was adjusted automatically by maximizing the brilliance of the reflected laser spot on the sample surface. The following describes a cycle of the data acquisition process for 3D Raman mapping measurements in the present study. First, the initial point of measurement was located on the focal line of the laser beam by translating the XY stage. Second, the focus was adjusted on the sample surface using the auto focus function. After obtaining a Raman spectrum on the surface, the stage was moved up for a given height step and Raman spectra of the deep part of the sample were measured. RESULTS AND DISCUSSION A representative emission spectrum of the neon lamp is shown in Fig. 2; three emission lines were observed in the APPLIED SPECTROSCOPY 1085 FIG. 3. Time changes in the peak positions of neon spectra. The upper line shows the calibrated spectra. studied energy region. The emission line at 540.06 nm (918.3 cm1 in Raman shift with excitation by the 514.5 nm line of the Arþ laser) was chosen as the wavelength standard because this peak is sufficiently intense for precise determination of the wavelength and the position of this line is close to the diamond Raman peak. Fukura et al. (2006) showed that all Raman peaks in the region from 400 cm1 to 1500 cm1 deviated synchronously in their direction and amplitude. Thus, the deviation in the Raman bands can be compensated using a single neon line at 918.3 cm1 in the Raman shift. Before applying real-time calibration to measurements of Raman spectra, the availability of the real-time calibration system in the present instrument was evaluated. Another neon lamp was set on the sample stage and the emission was introduced into the spectrometer in addition to the neon lamp for the standard using the bifurcated optical fiber. Consequently, two neon emission spectra were recorded on the CCD detector simultaneously. Figures 3a and 3b show the time change of the observed wavelength of a neon emission line at 540.06 nm for the two obtained spectra. Both profiles exhibit considerable fluctuation of the frequency by as much as 0.37 cm1 in Raman shift, resulting from change in the laboratory temperature. The corresponding oscillation of laboratory temperature was 1.0 8C. Applying the neon emission spectra as the standard, the time change in the neon line was calibrated (see Fig. 3c). The calibration process eliminated the fluctuation. The final fluctuation was reduced to 0.05 cm1 in two sigma for 4 h. Results confirmed that the use of the neon emission line as the wavelength standard reduced the fluctuation of the Raman shift efficiently. This calibration potentially cancels the unstable behavior in the initial measurement. Two-Dimensional Mapping of a Diamond Containing Inclusions and Application of Real-Time Calibration. Realtime calibration was applied to a 2D Raman mapping measurement. The diamond specimen, containing olivine and chromite as inclusion minerals, was from the Internationalnaya Mine in Russia. The (110) surface of the diamond was polished. Using a 350 objective lens and confocal arrangement, Raman spectra from the 40 lm subsurface of the sample were collected in the region of 200 lm 3 200 lm using a step size of 4 lm. Raman spectra were obtained with an exposure time of 1 s for each measured point; the total time for acquiring the 2D map presented in Fig. 4 was approximately 35 h. Figure 4a shows a 2D frequency map of the F2g Raman band of diamond of the sample after the curve-fitting procedure without real-time calibration. The relative shifts of the Raman spectra of diamond from an unstressed region were countered with gray-scale gradation. The brighter regions around the inclusions correspond to positive shifts of Raman spectra of diamond and the stressed region. In Fig. 4a, streak noise resulting from room-temperature fluctuation was observed. Because the sample stage was scanned in a horizontal direction, the streaks induced by the oscillation of the laboratory temperature were observed in the horizontal direction. The streak is comparable to the stress distribution. It is necessary to remove this noise by application of real-time calibration. Figure 4b shows the Raman map after application of the real-time calibration using neon emission spectra. The streak was removed by application of the calibration using the neon standard line. Figure 4b shows clearly that the diamond around the inclusions was more highly stressed than other regions. Application to Three-Dimensional Mapping Measurements. The real-time calibration system was applied to 3D FIG. 4. A 2D Raman map of the sample, (a) without real-time calibration; a streak attributable to temporal change in room temperature was observed; and (b) with real-time calibration; the streak is absent. 1086 Volume 62, Number 10, 2008 around the olivine and chromite inclusions were respectively estimated as 0.69 GPa and 0.75 GPa. Because of the anisotropic elastic properties of minerals, the stress field can be highly anisotropic: 3D stress mapping is necessary to support detailed discussion. The obtained Raman maps in layers can be reconstructed into tomographic 3D stress distribution. The determination of the stress values around two different mineral species can be used to estimate the pressure and temperature at which these inclusions were trapped in the host diamond. X-ray tomography determining the shape of inclusions will complement the 3D Raman mapping measurement for precise discussion of the anisotropic stress field in diamond around the inclusions. It is noteworthy that the present calibration system can facilitate the detection of subtle frequency shifts in Raman spectra for various purposes. CONCLUSION A micro-Raman spectrometer system was developed with a real-time calibration function using neon emission spectra. The developed system removed the deviation in Raman frequency derived from the temporal change in laboratory temperature. By applying curve fitting to the diamond Raman line, the precision in determining Raman frequency was reduced to less than 0.05 cm1. High stability and precision established by the real-time calibration enabled 3D Raman mapping, which necessitates a long time for measurements. For a natural diamond sample containing two mineral inclusions, 3D Raman mapping was achieved. The stress distribution was observed clearly by applying real-time calibration. ACKNOWLEDGMENTS FIG. 5. A 3D Raman map of the sample. Raman maps of diamond stacking from the sample surface to the interior. mapping observation on the same diamond sample containing a couple of mineral inclusions using the same measurement system. Figure 5 shows a Raman map of the sample stacking from the surface to the interior. The sample was scanned three dimensionally, as described in the Experimental Procedure section. The scanned region was 400 3 400 3 60 lm. The scanning steps were 4 lm in the horizontal directions and 10 lm in the perpendicular direction. A Raman spectrum was acquired at each sampling point with exposure time of 1 s. In all, 71 407 pairs of Raman spectra and neon emission spectra were obtained during the approximately 35 h spent for measurement. Figure 5 shows the obtained Raman frequency maps for 10 lm depth steps. The layered Raman maps clearly show the 3D stress distribution around the inclusions. With increasing pressure, the frequency of the lattice vibration of the diamond increases with a gradient of 2.2 cm1/GPa along the ,111. direction.14 Figure 5 shows that the maximum stress values We are grateful to Dr. Dimitry Zedgenizov for diamond samples and scientific discussion. This study was financially supported by a Grant-in-aid for Exploratory Research (18654098), a Grant-in-aid for Creative Scientific Research (19GS0205) from the Japan Society for the Promotion of Science, and the Global COE Program for Chemistry Innovation. 1. De Wolf, Semicond. Sci. Technol. 11, 139 (1996). 2. N. V. Sobolev, B. A. Fursenko, S. V. Goryainov, J. F. Shu, R. J. Hemley, H. K. Mao, and F. R. Boyd, Proc. Natl. Acad. Sci. U.S.A. 97, 11875 (2000). 3. M. Schrauder and O. Navon, Nature (London) 365, 42 (1993). 4. E. S. Izraeli, J. W. Harris, and O. Navon, Earth Planet. Sci. Lett. 173, 351 (1999). 5. H. Kagi, R. Lu, J. R. Hemley, and H. Mao, Mineral. Mag. 64, 1089 (2000). 6. D. A. Zedgenizov, H. Kagi, V. S. Shatsky, and N. V. Sobolev, Mineral. Mag. 68, 61 (2004). 7. L. Nasdala, J. W. Harris, and J. Glinnemann, Am. Mineral. 90, 745 (2005). 8. S. Fukura, T. Mizukami, S. Odake, and H. Kagi, Appl. Spectrosc. 60, 946 (2006). 9. H. Boppart, J. van Straaten, and I. F. Silvera, Phys. Rev., B. 32, 1423 (1985). 10. S. Y. Wang, S. K. Sharma, and T. F. Cooney, Am. Mineral. 78, 469 (1993). 11. S. Nakashima, J. Phys.: Condens. Matter 16, S25 (2004). 12. Y. Kawakami, J. Yamamoto, and H. Kagi, Appl. Spectrosc. 57, 1333 (2003). 13. J. Yamamoto, H. Kagi, Y. Kawakami, N. Hirano, and M. Nakamura, Earth Planet. Sci. Lett. 253, 369 (2007). 14. M. H. Grimsditch, E. Anastassakis, and M. Cardona, Phys. Rev., B. 19, 901 (1978). APPLIED SPECTROSCOPY 1087
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