FOURIER TRANSFORM INFRARED SPECTROMETER

Abstract

A Fourier transform infrared spectrometer (FTIR) includes: an infrared light source; an interferometer; a semiconductor laser for position reference of a movable mirror thereof; and a computer that performs Fourier transformation to a detected signal of an infrared interference wave from a sample to calculate a spectrum based on a memorized wavelength of the semiconductor laser and a detected value of a laser interference wave by a laser detector. The computer executes a program for calculating a spectrum of a solid reference sample, interpolating the spectrum of the reference sample in a wavenumber region of a unique peak, reading out a wavenumber of the unique peak based on a data after interpolation, and updating the wavelength of the semiconductor laser used in Fourier transformation such that the read-out value of the wavenumber falls within a specific range having an original wavenumber of the unique peak as a reference.

Claims

1. A Fourier transform infrared spectrometer comprising an infrared light source; an interferometer that has a beam splitter, a fixed mirror and a movable mirror, and generates an infrared interference wave by using an infrared light from the infrared light source: an infrared detector that detects an intensity of the infrared interference wave that transmitted or reflected off a sample; a semiconductor laser that irradiates a laser light to the interferometer; a laser detector that detects an intensity of a laser interference wave that is generated at the interferometer based on the laser light; a memory that memorizes a wavelength of the semiconductor laser; and a computer that uses the wavelength in the memory and a detected signal of the laser detector and performs Fourier transformation to a detected signal of the infrared detector to calculate a spectrum of the sample; wherein the computer executes a program for calculating a spectrum of a solid reference sample, interpolating the calculated spectrum of the reference sample in a wavenumber range of at least one unique peak of the reference sample, reading out a wavenumber of the at least one unique peak based on a data after interpolation, and updating the wavelength in the memory such that the read-out value of the wavenumber falls within a specific range having an original wavenumber of the unique peak as a reference.

2. The Fourier transform infrared spectrometer of claim 1, wherein the computer is configured to fit a known peak shape data of the unique peak of the reference sample to the calculated spectrum of the reference sample instead of performing the interpolation, and use a wavenumber of a peak top after fitting as the read-out value of the wavenumber.

3. The Fourier transform infrared spectrometer of claim 1, wherein, when there is no input related to operation of the Fourier transform infrared spectrometer for more than a certain period of time while the Fourier transform infrared spectrometer is not executing measurement, the computer is configured to: execute the program automatically to correct the wavenumber; measure a background with a measurement parameter for a usual sample; and execute a standby state for an input related to a next measurement.

4. The Fourier transform infrared spectrometer of claim 1, wherein, when there is an input related to an execution of the program or when it is the pre-reserved time to run the program if the time has set while the Fourier transform infrared spectrometer is not executing measurement, the computer is configured to: execute the program to correct the wavenumber; measure a background with a measurement parameter for a usual sample; and execute a standby state for an input related to a next measurement.

5. A Fourier transform infrared spectrometer comprising an infrared light source; an interferometer that has a beam splitter, a fixed mirror and a movable mirror, and generates an infrared interference wave by using an infrared light from the infrared light source; an infrared detector that detects an intensity of the infrared interference wave that transmitted or reflected off a sample; a semiconductor laser that irradiates a laser light to the interferometer; a laser detector that detects an intensity of a laser interference wave that is generated at the interferometer based on the laser light; a memory that memorizes a wavelength of the semiconductor laser; a computer that uses the wavelength in the memory and a detected signal of the laser detector and performs Fourier transformation to a detected signal of the infrared detector to calculate a spectrum of the sample; a Peltier element that controls temperature of the semiconductor laser; and a temperature controller of the Peltier element, wherein the computer executes a program for calculating a spectrum of a solid reference sample, interpolating the calculated spectrum of the reference sample in a wavenumber range of at least one unique peak of the reference sample, reading out a wavenumber of the at least one unique peak based on a data after interpolation, and controlling a temperature of the semiconductor laser by operating the temperature controller of the Peltier element such that the read-out value of the wavenumber falls within a specific range having an original wavenumber of the unique peak as a reference.

6. The Fourier transform infrared spectrometer of claim 5, wherein the computer is configured to fit a known peak shape data of the unique peak of the reference sample to the calculated spectrum of the reference sample instead of performing the interpolation, and use a wavenumber of a peak top after fitting as the read-out value of the wavenumber.

7. The Fourier transform infrared spectrometer of claim 5, wherein, when there is no input related to operation of the Fourier transform infrared spectrometer for more than a certain period of time while the Fourier transform infrared spectrometer is not executing measurement, the computer is configured to: execute the program automatically to correct the wavenumber; measure a background with a measurement parameter for a usual sample; and execute a standby state for an input related to a next measurement.

8. The Fourier transform infrared spectrometer of claim 5, wherein, when there is an input related to an execution of the program or when it is the pre-reserved time to run the program if the time has set while the Fourier transform infrared spectrometer is not executing measurement, the computer is configured to: execute the program to correct the wavenumber; measure a background with a measurement parameter for a usual sample; and execute a standby state for an input related to a next measurement.

9. A Fourier transform infrared spectrometer comprising an infrared light source; an interferometer that has a beam splitter, a fixed mirror and a movable mirror, and generates an infrared interference wave by using an infrared light from the infrared light source: an infrared detector that detects an intensity of the infrared interference wave that transmitted or reflected off a sample; a semiconductor laser that irradiates a laser light to the interferometer; a laser detector that detects an intensity of a laser interference wave that is generated at the interferometer based on the laser light; a memory that memorizes a wavelength of the semiconductor laser; a computer that uses the wavelength in the memory and a detected signal of the laser detector, and performs Fourier transformation to a detected signal of the infrared detector to calculate a spectrum of the sample; and an applied-current controller that controls an applied current to the semiconductor laser, wherein the computer executes a program for calculating a spectrum of a solid reference sample, interpolating the calculated spectrum of the reference sample in a wavenumber range of at least one unique peak of the reference sample, reading out a wavenumber of the at least one unique peak based on a data after interpolation, and controlling the applied current to the semiconductor laser by operating the applied-current controller such that the read-out value of the wavenumber falls within a specific range having an original wavenumber of the unique peak as a reference.

10. The Fourier transform infrared spectrometer of claim 9, wherein the computer is configured to fit a known peak shape data of the unique peak of the reference sample to the calculated spectrum of the reference sample instead of performing the interpolation, and use a wavenumber of a peak top after fitting as the read-out value of the wavenumber.

11. The Fourier transform infrared spectrometer of claim 9, wherein, when there is no input related to operation of the Fourier transform infrared spectrometer for more than a certain period of time while the Fourier transform infrared spectrometer is not executing measurement, the computer is configured to: execute the program automatically to correct the wavenumber; measure a background with a measurement parameter for a usual sample: and execute a standby state for an input related to a next measurement.

12. The Fourier transform infrared spectrometer of claim 9, wherein, when there is an input related to an execution of the program or when it is the pre-reserved time to run the program if the time has set while the Fourier transform infrared spectrometer is not executing measurement, the computer is configured to: execute the program to correct the wavenumber: measure a background with a measurement parameter for a usual sample: and execute a standby state for an input related to a next measurement.

Description

BRIEF DESCRIPTION OF DRAWINGS

[0066] FIG. 1 illustrates a schematic configuration of a FTIR according to one embodiment.

[0067] FIG. 2 illustrates an aperture validation wheel of the FTIR.

[0068] FIG. 3 illustrates a flow diagram of wavenumber correction of the FTIR.

[0069] FIG. 4 illustrates an explanation diagram of an interpolation method of a measurement data in the wavenumber correction flow.

DESCRIPTION OF EMBODIMENTS

[0070] Preferred embodiments of the present invention are described with reference to the drawings in the following. The present invention can be applied to a Fourier transform infrared spectrometer (FTIR) and an infrared microscopic apparatus. Here, a case when it is applied to a FTIR 100 as exemplified in FIG. 1 in particular. The FTIR 100 comprises: an infrared light source 10; an interferometer 12 that forms an infrared interference wave; a sample holder 26 that holds a sample; an infrared detector 14 that detects an intensity of an interference wave acquired by irradiating the infrared interference wave to the sample: and a computer 16 that calculates a spectral information of the sample based on a detected signal from the infrared detector 14. The computer 16 is configured of a microcomputer installed in the main body of the FTIR 100, or a personal computer separate from the main body.

[0071] The infrared light source 10 and the interferometer 12 are housed in a housing 60. A light-flux splitter (beam splitter 20) that separates the infrared light, and a fixed mirror 22 and a movable mirror 24 that respectively reflect a separated light are disposed as the interferometer 12, and two light fluxes of different optical path lengths are synthesized to generate the infrared interference wave. The movable mirror 24 is provided to be movable in both directions of getting closer to and going away from the beam splitter 20.

[0072] The infrared interference wave that exits from an exit window is irradiated to the sample inside the sample holder 26 provided between the exit window and the infrared detector 14. The infrared detector 14 receives the infrared interference wave from the sample, and outputs a detected signal thereof. The detected signal from the infrared detector 14 passes through an amplifier 14a and an A/D convertor 14b, and is input to the computer 16.

[0073] In the housing 60, a semiconductor laser 30 for position reference for acquiring position information of the movable mirror 24 by a laser light, and a laser detector 32 that detects a laser interference wave are disposed. In the present embodiment, the interferometer 12 also functions as a laser interferometer, and the laser light (monochromatic light) from the semiconductor laser 30 is guided to a same optical path as the infrared light to enter the beam splitter 20. The interferometer 12 also generates a laser interference wave in accordance with the movement of the movable mirror 24, and the laser detector 32 detects the laser interference wave from the beam splitter 20 to output an intensity signal thereof to the computer 16. A separate and dedicated laser rangefinder may be provided to the same housing as the interferometer 12, and another rangefinder for measuring the position of the movable mirror 24 by using a laser optical path which does not pass through the beam splitter 20 may be formed, for example.

[0074] In the present embodiment, a vertical cavity surface emitting laser (VCSEL) which is more compact and lasts longer than an ordinary semiconductor laser is disposed in the housing 60 as the semiconductor laser 30, so that the FTIR 100 may be miniaturized and last longer. The semiconductor laser 30 comprises an applied-current controller 68 for controlling an applied current to the semiconductor laser 30. Moreover, the semiconductor laser 30 comprises a Peltier element 70 for temperature control and a temperature controller 72 that controls the Peltier element.

[0075] In addition, in the housing 60, a revolver type switching apparatus (aperture validation wheel) 74 that automatically switches an aperture and the reference sample is disposed in front of the exit window. FIG. 2 illustrates a disk-shaped switching apparatus 74 having a hole 74c for a drive shaft of a motor at its center. On the disk of the switching apparatus 74, a plurality of apertures AP1 to AP8 are formed along a circumference. The apertures AP1 to AP6 are in different sizes, and can be automatically switched to aperture sizes corresponding to a set wavenumber resolution. FIG. 2 illustrates a state which the aperture AP6 is exactly located on an optical path of the interference wave from the beam splitter 20. Moreover, the apertures AP7, AP8 are for the reference sample, and the reference sample 74a (e.g., polystyrene film) is fixed such that it covers the aperture AP8 in the present embodiment. The aperture AP7 may be mounted with other reference sample 74b such as a glass. The sizes of the apertures AP7, AP8 are sizes in accordance with wavenumber resolution assumed to be set upon measurement of the reference samples 74a, 74b, and they are the same size as the aperture AP5 here. By positioning the part of the disk without the apertures to the position on the optical axis of the interference wave, the switching apparatus 74 functions as a shielding plate.

[0076] By using such switching apparatus 74, the daily wavenumber correction routine becomes easier since the process of setting the reference sample at the measurement position in FTIR 100 each time can be omitted. The computer 16 performs a series of operations for wavenumber correction by the wavenumber correction program automatically. In addition, the temperature of the reference sample 74a is stabilized since the reference sample 74a is positioned far enough from the infrared light source 10, which is the biggest heat source of the FTIR 100 to be nearly in a thermal equilibrium constantly by being disposed in an airtight. Therefore, a wavenumber shift derived from temperature variation of the reference sample 74a does not occur, and wavenumber correction can be executed as usual.

[0077] Moreover, a thermo-hygro sensor 76 is disposed in the housing 60. This thermo-hygro sensor 76 constantly detects the temperature and humidity inside the housing 60. so that the temperature and humidity can monitored by a display apparatus 46 of the FTIR 100.

[0078] When a thermal distortion of the interferometer 12 occurs, a wavenumber drift may occur. Therefore, the computer 16 may read out the temperature variation from thermos hygro sensor 76 and correct the wavenumber drift caused by the thermal drift.

[0079] Next, the computer 16 comprises: a controlling portion 40 that controls each constituent of the computer 16; a calculating portion 42 that executes calculation of a spectral information of the sample based on the detected signal from the infrared detector 14 and spectral analysis thereof; and a memory 44 that retains a data processing program executed by the calculating portion 42, the calculated spectral information, an analysis result, and a background information. Moreover, a display apparatus 46 and a user interface 48 are connected to the computer 16.

[0080] Furthermore, a movable-mirror controlling apparatus (movable-mirror controller) 34 is connected to the computer 16. The calculating portion 42 counts an intensity variation of the laser interference wave in accordance with the movement of the movable mirror 24 based on the intensity signal of the laser interference wave from the laser detector 32 to calculate the position information of the movable mirror 24. The movable-mirror controlling apparatus 34 receives the position information of the movable mirror 24 and information of a target position to execute speed control, in particular constant speed control, of the movable mirror 24.

[0081] While the movable-mirror controlling unit 34 moves the movable mirror 24 for one stroke, the calculating portion 42 receives the intensity signal of the infrared interference wave for one scan, and calculates an interferogram (interference curve) based on the intensity signal of the infrared interference wave and the position information of the movable mirror 24.

[0082] For example, the calculating portion 42 integrates the interferograms of a plurality of scans, and performs Fourier transformation to the same to calculate a single beam spectrum (SB spectrum); however, it may be calculated by other procedures such as integrating the SB spectrum after Fourier transformation, not the interferogram, for example. Furthermore, the SB spectrum may be divided by the background information to calculate a transmission spectrum.

[0083] A communication apparatus 50 may be connected to the computer 16 as necessary. The communication apparatus 50 is a wireless communication equipment using Wi-Fi standard or Bluetooth standard, for example. It can communicate with a remote mobile equipment 52, and displays the same information as the information displayed on the display apparatus 46 on the monitor of the mobile equipment 52. Moreover, the mobile equipment 52 may be a mobile terminal such as a smart phone, and the mobile terminal may encrypt a measurement spectral data into an E-mail, and send it to an external server computer, not shown. The measurement spectral data is spectrally analyzed in the server computer, and an analysis result thereof is sent to the mobile equipment to be displayed on the monitor thereof. By providing the communication apparatus 50 and configuring the remote server computer to perform spectral analysis, a personal computer for spectral analysis does not need to be carried around with the FTIR 100, and portability thereof improves. It becomes sufficient to install minimum necessary functions to the computer 16 of the FTIR 100, so that the computer 16 can be configured only with a microcomputer installed to the main body, and the FTIR 100 can be miniaturized.

Wavenumber Correction Program

[0084] A spectral wavenumber correction program is a program for correcting a measurement wavenumber of the FTIR based on a spectral data of a reference sample.

[0085] The wavenumber correction program makes the computer 16 to execute the following processing flows S1 to S5. As shown in FIG. 3, after the processing of wavenumber correction of the present embodiment, the processing flows S6 and S7 may be executed subsequently as necessary

[0086] The FTIR 100 drives the switching apparatus 74 in advance, selects the aperture APS which has a same size aperture of AP8 for the reference sample 74a, and executes a background measurement (processing flow S1). This background information is also used in calculation of the spectrum of the reference sample 74a measured for wavenumber correction.

[0087] The processing flow S2 (spectral measurement of the reference sample) of FIG. 3 is described. First, the computer 16 drives the switching apparatus 74, selects the reference sample 74a, and measures its spectral data. Wavenumber resolution (spectral data point of the wavenumber axis) of the FTIR 100 is set in accordance with the type of the reference sample 74a and the shape of a unique peak (reference wavenumber) of the reference sample 74a. When this wavenumber resolution is set too high, it becomes difficult to discriminate the peak top of the reference sample, since the selected aperture size get smaller and the amount of light (signal S) becomes decreased may result S/N worse. Therefore, the wavenumber resolution may be set such as the calculated spectral interval is 1-3 digits coarser comparing to the required correction accuracy.

[0088] Next, the processing flow S3 (interpolation of measurement data) is described. The computer 16 automatically interpolates the acquired measurement data to a high-density data. Here, a smoothing processing using a cubic spline is performed, but it is not limited thereto. In the present embodiment, the amount of calculation of the computer 16 is greatly reduced by executing the following two points: applying an interpolation processing to the spectral data after Fourier transformation: and cutting out only a data of a wavenumber region necessary for peak formation and applying an interpolation processing to the data of the wavenumber region.

[0089] Then, the position (wavenumber) of the peak is read out from a minimum value (when the vertical axis is a transmittance % T) or a maximum value (when the vertical axis is an absorption Abs) in the wavenumber region. FIG. 4 illustrates a measurement wavenumber of a peak when the vertical axis is the transmittance % T. The measurement wavenumber of the peak of the measurement data is “3059.51 cm.sup.-1”, for example, but the interpolation data shows a more precise measurement wavenumber of the peak upon measurement. Here, the measurement wavenumber of the peak based on the interpolation data is “3059.60 cm.sup.-1”, for example.

[0090] Next, the processing flow S4 (calculation of a difference of wavenumber between the measurement and the reference) is described. For example, the computer 16 stores “3059.7 cm.sup.-1” as the reference wavenumber of the unique peak of the reference sample 74a. In this example, the difference of wavenumber becomes “-0.1 cm.sup.-1” of which the reference wavenumber is subtracted from the measurement wavenumber of the peak based on the interpolation data.

[0091] Next, the processing flow S5 (calculation/memorization of a wavenumber corrected value) is described. The data interval of the wavenumber after Fourier transformation of the FTIR is proportional to “1/λ: λ is the wavelength of the semiconductor laser”. In the present embodiment, this relationship is used to correct the wavenumber (maximum value of wavenumber) assumed by calculation upon Fourier transformation based on the difference of wavenumber. For example, the FTIR 100 acquires the interferogram at the wavenumber interval (≈ 850 nm) of the reference laser, and performs Fourier transformation FFT of the interferogram to expand the data at equal intervals in a wavenumber space of 11765 cm.sup.-1 (≈ 1/850 nm).

[0092] To make explanation easier, 850 nm set as is a design value of a laser wavelength. The difference of wavenumber (-0.1 cm.sup.-1) calculated at the processing flow S4 is a value when the wavenumber axis of the peak is 3059.7 cm.sup.-1. The computer 16 calculates the laser wavelength such that the output value of Fourier transformation becomes “3059.7 cm.sup.-1” based on the output value after Fourier transformation is “3059.6 cm.sup.-1” at 850 nm of laser wavelength.

[0093] In other words, the computer 16 calculates the spectral data at equal intervals in the wavenumber range of (1/850 nm.sup.-1) cm.sup.-1 to 0 cm.sup.-1, supposing that the laser wavelength is 850 nm. The wavenumber axis “3059.6 cm.sup.-1” of the peak on this calculation is desired to be corrected as “3059.7 cm.sup.-1”. That is, when a coefficient A is defined as “A = 3059.7 ÷ 3059.6”, the wavenumber range after correction becomes:

[0094] (A/850 nm) cm.sup.-1 ~ 0 cm.sup.-1.

[0095] Accordingly, the computer 16 can calculate the laser wavelength used in calculation of Fourier transformation as 850 ÷ A ≈ 849.97 nm.

[0096] The laser wavelengths after correction may be calculated similarly from multiple unique peaks of the reference sample 74a, and an average value of the calculated values (e.g., “850 nm ÷ A”) from all peaks may be regarded as the laser wavelength after correction. Or, the average value of a weighted values at each peak may be regarded as the wavelength after correction.

[0097] The computer 16 can calculate the corrected wavenumber by Fourier transformation with this corrected wavelength of the laser (also called a wavenumber corrected value). Moreover, the computer 16 can update the wavelength in the memory 44, that is, the corrected wavelength of the laser is stored at the memory 44 of the FTIR and can be used for the following Fourier transformation.

[0098] In the above explanation, the reference wavenumber of the unique peak of the reference sample 74a stored in the memory 44 is set as “3059.7 cm.sup.-1”; however, this reference wavenumber may be stored as a specific range such as “3059.68 cm.sup.-1 to 3059.72 cm.sup.-1”.

[0099] For example, when the wavenumber correction is executed with the plural peaks of the reference sample 74a, the corrected wavelength of the laser may be calculated by the decision criteria that all the corrected reference peaks of the reference sample 74a are in the specific range (e.g. 3059.68 cm.sup.-1 to 3059.72 cm.sup.-1), instead of the average of the corrected laser wavelength. Accordingly, the wavenumber correction can be improved by the calculation of the plural peaks rather than the single peak since the information of the correction may be increased.

[0100] Moreover, an operating system may be constructed that the results of the wavenumber corrections are automatically sent to a server computer via a network and are saved in the server computer as a middle-long term maintenance information.

[0101] The communication method to the server computer far from the FTIR 100 is not limited by an e-mail with the mobile terminal (mobile equipment 52) such as a smart phone.

[0102] For example, the mobile terminal receives the result of wavenumber correction from the FTIR 100, and may automatically update the data in a storage of the server computer directly if it has an access privilege to the server computer. The user may manually manipulate the files. The server computer manages the received files of the result of wavenumber correction for each uploaded terminal, and can provide the files to the user in accordance with a request from the mobile terminal via a network any time.

[0103] As a method other than file sharing, for example, a technique of sharing information using writing to a database file in a cloud or a server computer can be adopted. In this case, the mobile terminal and the server computer access to the database file in the cloud or the server computer respectively, and manages information on one file. In this case, the mobile terminal may acquire and use a user interface for browsing the contents in the database file as a dedicated program or a browser application.

[0104] When measuring a solid reference sample 74a in a specific wavenumber range with a high wavenumber resolution (dense wavenumber interval) may be adopted, however a measurement time may be long to acquire a good S/N spectrum by the high wavenumber resolution (with a small aperture size, and/or a longer scanning distance) with increased accumulation times, since usually S/N ratio tends to be worse with the high wavenumber resolution parameter. In order to execute wavenumber correction of a measurement spectrum smoothly and precisely with the solid reference sample 74a, it is preferred that a measurement parameter of a relatively low wavenumber resolution (rough wavenumber interval) (with a big aperture size and/or a shorter scanning distance) is adopted to acquire data with a good S/N ratio in a relatively short time, and an interpolation method to a wavenumber range of the unique peak in the processing flow S3 is applied subsequently. According this process, the unique peak wavenumber of the solid reference sample 74a can be acquired in a short time with good precision (reproducibility), and, as a result, wavenumber correction of the measurement spectrum can be accelerated and a further improvement in precision can be achieved.

[0105] In the processing flow S2, measuring the solid reference sample 74a with a relatively low wavenumber resolution means that when a base line is drawn to the unique peak to set a full width of half maximum, the point of the spectral data in the wavenumber range of the full width of half maximum is about “10 to 100 points”, preferably “15 to 50 points”.

[0106] If the measurement time of the interferogram data are the same, reproducibility of the peak position (read-out value of the wavenumber) is superior when the peak wavenumber is acquired by performing interpolation to the spectral data (high S/N) acquired with a low wavenumber resolution parameter than when the peak wavenumber is acquired by performing least squares approximation to the spectral data (low S/N) acquired with a high wavenumber resolution parameter.

[0107] In the present embodiment, the interpolation data is imparted when the unique peak of the reference sample 74a is read out: however, a peak top (measurement wavenumber) may be read out by a method of fitting a known peak shape data of the unique peak of the reference sample 74a to the calculated spectrum of the reference sample 74a instead.

[0108] A modification of the wavenumber correction program is described. In the processing flow S3 of the program, after the computer 16 calculates the peak position “3059.6 cm.sup.-1” based on the interpolation data, the applied-current controller 68 of FIG. 1 may control the applied current to the semiconductor laser 30 such that the peak position “3059.6 cm.sup.-1” based on the interpolation data falls within an acceptable range (e.g., 3059.7 ± 1.5 cm.sup.-1) having the reference wavenumber “3059.7 cm.sup.-1” of the reference sample 74a at the center. In this case, correlation between the applied current and the measurement wavenumber of the spectrum or a laser oscillation wavelength may be acquired in advance.

[0109] Furthermore, another modification of the wavenumber correction program is described. In the processing flow S3, after the computer 16 calculates the peak position “3059.6 cm.sup.-1” based on the interpolation data, the temperature controller 72 of FIG. 1 may control the Peltier element 70 such that the peak position “3059.6 cm.sup.-1” based on the interpolation data falls within an acceptable range having the reference wavenumber “3059.7 cm.sup.-1” of the reference sample 74a at the center. In this case, correlation between the laser temperature and the measurement wavenumber of the spectrum or a laser oscillation wavelength may be acquired in advance.

[0110] Here, the computer 16 is configured to have at least one or more of the following execution patterns of wavenumber correction programs. [0111] When the user manually executes the wavenumber correction program for daily inspection of the FTIR 100, the computer 16 executes the wavenumber correction program according to an input related to an execution of the program. [0112] The computer 16 is configured such that the user can set an execution schedule of the wavenumber correction program, and automatically executes the wavenumber correction program when it is the pre-reserved time/date. [0113] When aging after power-on is completed and the FTIR 100 is stabilized, or when the computer 16 starts the measurement program (e.g., a measurement menu is displayed on the monitor), the computer 16 automatically executes the wavenumber correction program. [0114] When there is no input related to operation of the FTIR 100, such as operation by the user, for more than a certain period of time, the computer 16 determines that “the FTIR 100 is in no operation state”, and automatically executes the wavenumber correction program.

[0115] In any of the above-described patterns, after wavenumber correction is completed by executing the wavenumber correction program, the background measurement is automatically executed by using a parameter set just before wavenumber correction (e.g., parameter showing various measurement conditions for a usual sample such as selection of the aperture, and stroke length of the movable mirror), and then the stand-by state of an input related to the next measurement may be executed (see processing flows S6. S7 of FIG. 3 to be described later).

[0116] In particular, when the computer 16 determines a start-up state of the FTIR 100 to execute wavenumber correction, the user does not have to remeasure the background in the next measurement if the background measurement is automatically executed by the computer 16 subsequently to the series of operations for wavenumber correction: therefore, convenience for the user is enhanced.

[0117] According to the configurations of the FTIR 100 of the present embodiment as described above, a greater detection intensity can be acquired by using the solid reference sample 74a such as a polystyrene film than using the atmosphere (carbon dioxide or water vapor) of which signal is easily affected in nitrogen purging or vacuum state at the FTIR 100 as the reference sample, and the read-out value of the measurement spectrum and the original wavenumber can be compared easily. Moreover, the measurement time tends to be constant with the solid reference sample 74a than a spectrum of the atmosphere (carbon dioxide or water vapor) such that S/N ratio varies every time when the peak height varies depending on the measurement environment, and precision of wavenumber correction of the measurement spectrum can be secured easily.

[0118] In addition, by imparting the interpolation data to the wavenumber range of the unique peak of the reference sample 74a to the spectrum calculated at the FTIR 100, the wavenumber of the peak can be read out precisely even if the unique peak of the solid reference sample 74a has an extremely larger full width of half maximum than wavenumber precision to be acquired by correction: therefore, reliability of wavenumber correction of the measurement spectrum improves.

[0119] According to the configuration of the FTIR 100 of the present embodiment, precision (reproducibility) of the wavenumber of the measurement spectrum equivalent to that of when a He-Ne laser is used can be achieved by executing the wavenumber correction function of the FTIR 100 even if an unique oscillation wavenumber of the semiconductor laser 30 is unstable.

[0120] Moreover, since the FTIR 100 can be miniaturized easily, a need for portability of the FTIR is increased. That is, a need for reliability confirmation (daily inspection) or calibration to the apparatus is increasing compared to the conventional FTIR which is assumed to be used stably in a stationary state. By adopting the present embodiment, wavenumber precision/reproducibility or reliability on wavenumber correctness can be improved in particular.

TABLE-US-00001 Reference Signs List 10 Infrared light source 12 Interferometer 14 Infrared detector 16 Computer 20 Beam splitter (light-flux separator) 22 Fixed mirror 24 Movable mirror 30 Semiconductor laser 32 Laser detector 34 Movable-mirror controlling apparatus 44 Memory 46 Display apparatus 48 User interface 50 Communication apparatus 52 Mobile equipment 60 Housing 68 Applied-current controller 70 Peltier element 72 Temperature controller 74 Switching apparatus 74a Reference sample 76 Thermo-hygro sensor 100 Fourier transform infrared spectrometer (FTIR)