The present invention relates generally to instruments for analyzing a sample and, more specifically, to a programmable Raman transducer used as a small, portable spectrometer.
Currently, Raman measurements of a sample are made with a spectrometer, that is; an instrument used for measuring wavelengths of light. The goal of the Raman measurement is to acquire a spectrum composed of the intensity and energy of the Raman scattered photons from the sample. The spectrum can be used to determine physical properties of the sample, such as component concentration or component composition. Component concentration can be determined by the intensity of the Raman features. Component composition can be determined by the spectral energy associated with the Raman features.
This invention relates to methods required to produce a Raman transducer. Transducers are small devices that convert a physical quantity into a signal. A transducer is a device that is actuated by power from one system and supplies power usually in another form to a second system. A Raman transducer changes photons of light energy from molecularly scattered radiation (physical quantity) into a digital value (electric signal) that designates the presence of a material or amount of material present.
The invention described herein is a programmable Raman transducer that introduces design concepts that transform a Raman spectrometer into a Raman transducer. The Raman transducer will enable applications such as counterfeit detection, brand security, low-cost assay readers, low-cost material identification systems, and detection of chemical and biological weapons, and medical diagnostics. The requirement is a very low-cost, very small, battery powered system that could be placed on a belt or carried in a pocket.
Illustrated in
The laser diode 20 is shown emitting radiation in a direction orthogonal to the collected Raman radiation. The dichroic beamsplitter 16 is chosen to preferentially reflect the wavelength of the laser. Lasers tend to emit radiation at wavelengths other than their laser wavelength. For example, diode lasers emit an envelope of spontaneously emitted light around the laser wavelength. Therefore, it is usually necessary to use a notch filter 22 (or what is often called a clean-up filter) to remove the other components of the laser emission. If they are not removed they will add a continuous background to the Raman spectrum or may cause spurious lines that can be confused with Raman scattering.
The next component is a spatial filter 24. This is a key element to current Raman spectrograph designs. It is also called a slit (rectangular, adjustable slits), aperture (usually a fixed circular aperture), or a fiber optic (essentially a fixed circular aperture). The optics of current Raman spectrographs can be divided into “output optics” and “diffractive optics”. The output optics and the diffractive optics are always separated by a spatial filter. On the output optics side the goal is to produce a small laser spot and to image that small spot onto the aperture of the spatial filter. On the diffractive optics side the goal is to image the aperture onto the detector. The size of the aperture determines the spectral resolution and can affect the amount of light that transfers between the output optics and the diffractive optics.
After the spatial filter, the Raman scattered radiation is once again collimated. It impinges on a diffraction grating 26 that produces optical orders of diffracted light coming off the grating at an angle which is dependent on the wavelength. These wavelengths are collected by the focusing lens 28 and are focused to spots which are the size of the aperture in the spatial filter onto the detector 30. Most often the detector 30 consists of an array of optical transducers which convert the light into an electrical signal. When the electrical signal produced by each element of the array detector 30 is plot across the plane of diffraction, a Raman spectrum as shown in
Peripheral to the optical components every spectrograph contains printed circuit cards (PC cards) that contain the electrical components needed to read the signal from the array 32 and to power the laser diode 34. These peripheral PC cards also communicate to a computer 36 which is used to display the data and to perform mathematical manipulations on the data.
Illustrated in
Traditional methods for material identification are peak lookup tables in books, lookup table of peaks in computer memory and comparison of the results of a peak finding algorithm on the spectrum of the unknown or more mathematically intensive methods that use algorithms based on the concept of correlation. For example, the latter is used in the hand-held Raman spectrometer, the RespondeR™ (Smiths Group PLC, London, England). The RespondeR contains complete spectra of thousands of materials and searches those spectra to identify an unknown based on a mathematically calculated correlation. While the RespondeR might be considered an intermediate between a large Raman spectrograph and a Raman transducer, it still uses the design of output optics and diffractive optics.
The present invention uses an algorithm which greatly reduces the amount of time and digital memory required to identify a material. The algorithm recognizes that many of spectral frequencies in a Raman spectrum do not contain information. The method described by this invention creates a compressed data set that only contains information useful for identification. This method greatly decreases the digital memory requirements and greatly increases the search speed. The following describes a method for manual library entries.
In collecting raw data, it is preferred that at least about 600 data points (words) are used. The data should be calibrated to insure that each programmable Raman transducer of the present invention is equivalent. A probable calibration is
[CA]=A +B[RD]+C[RD]2
[RD]=raw data
[CA]=calibrated array.
A sample library file structure is:
[LIB]: [indentifier:byte, index:word, length:byte, library data[index:index+length] :word]
In a preferred embodiment, one peak is used define a library element. The library will contain entries for each element. The entries will have an identifier that is a number, for example 0-255, an index which defines where that peak begins in the calibrated data, and a length that defines how many data points make up a peak. Initial research indicates that peaks are about 50 data points wide. If an 8 bit ADC is used then these can be bytes; if wa 12 bit ADC is used, these will be words.
Library search algorithm
A correlation search routine is used in a preferred embodiment. This routine calculates a correlation between the [CA] and the [LIB] using:
Corr =([αCAmc]·[αLIBmc ])2/([αCAmc]·[αCAmc]*[αLIBmc]·[αLIBmc])
[αCAmc]=[αCA]−(ΣαCAi)/(length−5))
αCAi=CAi−CAi−5
The correlation method provides a result from 0 to 1. It is susceptible to baseline variations. Therefore a derivative [αCA] is used with a 5 point gap. The method produces the greatest differentiation when the data arrays are mean centered. Mean centering requires subtraction of the mean from the data array.
In a preferred embodiment, the first byte of the library is read and used as the identifier. The next two bytes provide the start index for the peak. The next byte provides how many array elements make up the peak. The next arrays elements are the library data. There should be “length” number of elements, where length is given by the fourth byte of the library array for any given library component. A correlation of 0.9 or better could, for example, be used to indicate a positive.
It is also possible to automate this process such that the Raman transducer could be pointed at a material and queried to program. It then automatically acquires a spectrum, takes a derivative, normalize between -1 and 1, and finds locations where the peaks are. A threshold of peaks >0.5 and <-0.5 could, for example, be used to select only prominent Raman features. The location and data associated with these peaks could be used for a correlation match as described above.
When multiple peaks are used the individual correlations will be added and divided by the number of peaks used. In this way a value of 1 will always be attained for a perfect correlation, regardless of the number of peaks measured.
The foregoing description and drawings comprise illustrative embodiments of the present inventions. The foregoing embodiments and the methods described herein may vary based on the ability, experience, and preference of those skilled in the art. Merely listing the steps of the method in a certain order does not constitute any limitation on the order of the steps of the method. The foregoing description and drawings merely explain and illustrate the invention, and the invention is not limited thereto, except insofar as the claims are so limited. Those skilled in the art that have the disclosure before them will be able to make modifications and variations therein without departing from the scope of the invention.
This application claims priority pursuant to 35 U.S.C. § 119(e) to United States Patent Application No. 60/835,937, filed Aug. 7, 2006, which is hereby incorporated herein by reference in its entirety.
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/US07/17559 | 8/7/2007 | WO | 00 | 6/17/2010 |
Number | Date | Country | |
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60835937 | Aug 2006 | US |