LOW-COST SPECTROMETRY SYSTEM FOR END-USER FOOD ANALYSIS
20230221179 · 2023-07-13
Inventors
Cpc classification
G01J3/0208
PHYSICS
G01N21/255
PHYSICS
G01J3/36
PHYSICS
International classification
G01J3/26
PHYSICS
G01J3/36
PHYSICS
Abstract
A compact spectrometer is disclosed that is suitable for use in mobile devices such as cellular telephones. In preferred embodiments, the spectrometer comprises a filter, at least one Fourier transform focusing element, a micro-lens array, and a detector, but does not use any dispersive elements. Methods for using the spectrometer as an end-user device for performing on-site determinations of food quality, in particular, by comparison with an updatable database accessible by all users of the device, are also disclosed.
Claims
1. (canceled)
2. A method for analyzing a sample, comprising: providing a sample; passing light emanating from said sample through a diffuser to produce diffused light; passing said diffused light through an optical filter to produce angle-encoded light; passing said angle-encoded light through a Fourier transform focusing element to produce spatially encoded light; detecting said spatially encoded light using a detector to produce spectral data, wherein said spatially encoded light of different wavelengths arrives at said detector as a series of circles of different radii proportional to said different wavelengths; and analyzing said spectral data.
3. The method of claim 2, wherein said detector is an image sensor.
4. The method of claim 2, wherein said optical filter comprises a plurality of parallel strips, each of which comprises a sub-filter.
5. The method of claim 2, wherein each of said sub-filters comprise different center wavelengths.
6. The method of claim 5, wherein said center wavelengths depend on an angle of incidence of said diffused light.
7. The method of claim 2, where the Fourier transform focusing element is a micro-lens array
8. The method of claim 2, wherein said sample is a food sample.
9. The method of claim 2, wherein said analyzing comprises comparing said spectral data with a database of spectral information.
10. The method of claim 9, further comprising adding said spectral data to said database of spectral information.
11. The method of claim 2, further comprising illuminating said sample with a light source.
12. The method of claim 11, wherein said light source comprises a laser or a light emitting diode.
13. The method of claim 11, wherein illuminating comprises focusing light from said light source to a predetermined location relative to said sample.
14. The method of claim 14, wherein said focusing comprises an autofocus system to focus said light from said light source to said predetermined location relative to said sample.
15. The method of claim 14, wherein said autofocus system comprises a voice-coil motor, a piezoelectric motor, or a micro-electrical-mechanical-system (MEMS) motor.
16. The method of claim 2, wherein said first Fourier transform focusing element comprises a plano-convex lens, a biconvex lens, or an aspheric lens.
17. The method of claim 16, wherein said Fourier transform focusing element comprises a plano-convex cylindrical lens disposed such that a flat face of the plano-convex cylindrical lens faces said detector and a curved face of the plano-convex cylindrical lens faces said optical filter.
18. The method of claim 17, wherein said Fourier transform focusing element comprises a plurality of plano-convex cylindrical lenses disposed such that flat faces of said plano-convex cylindrical lenses face said detector and curved faces of said plano-convex cylindrical lenses face said optical filter, wherein focal planes of said plano-convex cylindrical lenses coincide.
19. The method of claim 2, wherein said optical filter is a non-tunable filter.
20. The method of claim 2, wherein said optical filter comprises a Fabry-Perot filter, a thin-film filter, or an interference filter.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0109] The invention will now be described with reference to the drawings, wherein
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DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0117] In the following description, various aspects of the invention will be described. For the purposes of explanation, specific details are set forth in order to provide a thorough understanding of the invention. It will be apparent to one skilled in the art that there are other embodiments of the invention that differ in details without affecting the essential nature thereof. Therefore the invention is not limited by that which is illustrated in the figure and described in the specification, but only as indicated in the accompanying claims, with the proper scope determined only by the broadest interpretation of said claims.
[0118] As used herein, the term “dispersive” is used, with respect to optical components, to describe a component that is designed to direct light in space according to its wavelength, and thus to separate spatially the different wavelength components of a polychromatic beam of light. Non-limiting examples of “dispersive” optical elements by this definition include diffraction gratings and prisms. The term specifically excludes elements such as lenses that disperse light because of non-idealities such as chromatic aberration or elements such as interference filters that have different transmission profiles according to the angle of incident radiation.
[0119] Reference is now made to
[0120] Optical filter 200 can be of any type known in the art. Non-limiting examples of suitable optical filters include Fabry-Perot (FP) resonators, cascaded FP resonators, and interference filters. In a typical embodiment of the simplest possible arrangement shown in
[0121] Detector 204 may be of any suitable type known in the art capable of detecting light in the wavelength range of interest; the compact spectrometer system disclosed herein can be used from the UV to the IR, depending on the nature of the spectrum being obtained and the particular spectral properties of the sample being tested. Because, as will be explained below, spectra are obtained by measuring the intensity of light as a function of the position in a predetermined plane (e.g. the focal plane of the first Fourier transform focusing element), in preferred embodiments of the invention, a detector that is capable of measuring intensity as a function of position (e.g. an array detector or a two-dimensional image sensor) is used.
[0122] The basic principle of operation of compact spectrometer 20 is as follows. Light 205 impinges upon optical filter 200. Assuming that light 205 is approximately spatially invariant over the area of the optical filter (in typical embodiments of the invention, the entrance aperture has an area of the order of 1 mm.sup.2), and that the light impinges upon the filter at a sufficiently wide range of propagation angles, both of which are reasonable assumptions, the light passing through the filter is angularly encoded after passing through the optical filter. The first Fourier transform focusing element (201) performs (approximately) a spatial Fourier transform of the angle-encoded light, transforming it into a spatially-encoded spectrum. That is, the intensity of light recorded by the sensor as a function of position (pixel number) on the sensor is correlated to the intensity at wavelength of the light corresponding to that position.
[0123] Reference is now made to
[0124] In embodiments in which the light emanating from the sample is not sufficiently diffuse, a diffuser is placed in front of the optical filter. Reference is now made to
[0125] The use of a single filter, as shown in
[0126] Reference is now made to
[0127] Depending on the number of sub-filters, the wavelength range accessible to the spectrometer can reach hundreds of nanometers. In the case of the use of a plurality of sub-filters, the approximate Fourier transforms formed at the image plane (i.e. one per sub-filter) overlap, and the signal obtained at any particular pixel of the detector will normally results from a mixture of the different Fourier transforms.
[0128] In order to separate the signals originating from different sub-filters, a micro-lens array is placed in a predetermined plane P.sub.2 that is located between the first Fourier transform focusing element and the detector. Such micro-lens arrays are well-known in the art, e.g. in Plenoptic cameras. In preferred embodiments, the micro-lens array plane P.sub.2 is substantially coincident with the focal plane of the first Fourier transform focusing element, and the detector plane P.sub.3 is substantially coincident with the plane that includes the image of the optical filter created by the micro-lens array. Reference is now made to
[0129] In these embodiments, each micro-lens thus acts as a “super-pixel” that separates the light impinging upon it into components corresponding to the plurality of Fourier transformations produced by the plurality of sub-filters. Each micro-lens creates an image on the detector of the aperture of the optical filter. The “micro-image” thus formed represents the contribution to the signal from each part of the lens aperture (i.e. the optical filter) to the “super-pixel” covered by the micro-lens. Reference is now made to
[0130] In the particular embodiment illustrated in
[0131] Reference is now made to
[0132] Table 1 provides a summary of the properties of the components of the compact spectrometer system in a typical embodiment. Note that in preferred embodiments, the f-numbers of the Fourier transform lenses and the micro-lenses are identical. The wavelength resolution of this embodiment is <10 cm.sup.−1.
TABLE-US-00001 TABLE 1 Parameter Value comments Length of sides of 1 mm aperture is equal to total filter size system aperture sub-filter width 0.125 mm 8 sub-filters First Fourier transform 4.2 lens diameter 2 mm, focal length lens f-number 6 mm sensor pixel size 5 μm micro-lens f-number 4.2 lens diameter 40 μm, focal length 169.7 μm; array pitch = diameter Wavelength range 27.67 nm per sub filter Overall wavelength 221.4 nm =number of sub-filters × range wavelength range of each sub-filter
[0133] In some embodiments of the invention, an additional filter is placed in front of the compact spectrometer system in order to block light outside of the spectral range of interest (i.e. to prevent unwanted light from reaching the detector).
[0134] Reference is now made to
[0135] In this embodiment, the light that impinges upon the filter is directed in a wide range of angles, each spot on the detector corresponding to a different angle of incidence. As in the previous embodiments, the optical filter is designed such that its CWL depends on the angle of incidence. Thus, each concentric ring on the image will include only a narrow part of the spectrum of the light reaching the spectrometer system.
[0136] In embodiments in which the spectral range covered by a single optical filter is insufficient, as with the previous embodiments, an optical filter comprising a plurality of sub-filters with differing CWLs is used. Two non-limiting embodiments of the design of such optical filters are shown in
[0137] The embodiment illustrated in
[0138] In some embodiments of the invention, the measurement of the sample is performed using scattered ambient light. In most cases, the scattered ambient light will not be sufficiently intense to provide a spectrum of sufficiently high quality. Therefore, in preferred embodiments of the invention, the compact spectrometer system incorporates a light source. The light source can be of any type (e.g. laser or light-emitting diode) known in the art appropriate for the spectral measurements to be made.
[0139] Because of its small size and low complexity, the compact spectrometer system herein disclosed can be integrated into a mobile communication device such as a cellular telephone. It can either be enclosed within the device itself, or mounted on the device and connected to it by any wired or wireless means for providing power and a data link known in the art. By incorporating the spectrometer system into a mobile device, the spectra obtained can be uploaded to a remote location, analysis performed there, and the user notified of the results of the analysis, as described in detail below. The spectrometer system can also be equipped with a GPS device so that the location of the sample being measured can be reported.
[0140] Because of its small size and low cost, the spectrometer system herein disclosed can also be integrated into kitchen appliances such as ovens (particularly microwave ovens), food processors, refrigerators etc. The user can then make a determination of the safety of the ingredients in real time during the course of food storage and preparation.
[0141] Reference is now made to
[0142] As mentioned above, a second problem for adapting spectroscopic techniques for determination of food safety is the complicated nature of the substance being tested and hence the complicated analysis that is necessary. In particular, if the intended user is an individual consumer, the use of the spectrometry system must be no more complicated than “point and shoot,” and the analysis provided to the user without any extensive activity on his or her part.
[0143] In some embodiments of the invention, the spectrometer system comes equipped with a memory with a database of spectral data stored therein and a microprocessor with analysis software programmed in. The memory can be volatile in order that the user's own measurements can be incorporated into it. In other embodiments, the database and/or all or part of the analysis software is stored remotely, and the spectrometer system communicates with it via a network (e.g. a wireless network) by any appropriate method known in the art. In preferred embodiments in which the database is located remotely, it is continuously updatable. In this manner, each measurement made by a user of the spectrometer increases the quality and reliability of future measurements made by any user.
[0144] In a typical method of use of the compact spectrometer, the user illuminates the sample, a spectrum of which is to be obtained. The spectrum is then obtained as described above. The spectrum is then analyzed using any appropriate analysis method. Non-limiting examples of spectral analysis techniques that can be used include Principal Components Analysis, Partial Least Squares analysis, and the use of a neural network algorithm to determine the spectral components. The spectrum is thus analyzed to determine whether the spectrum of the complex mixture being investigated contains components consistent with the spectrum of a substance, mixture of substances, or microorganism, the presence of which is undesirable, and from the intensity of these components in the spectrum, whether their concentration is high enough to be of concern. Non-limiting examples of such substances include toxins, allergens, decomposition products, or harmful microorganisms. In preferred embodiments of the invention, if it is deemed likely that the sample is not fit for consumption, the user is provided with a warning.
[0145] In preferred embodiments of the invention, it is connected to a communication network that allows users to share the information obtained in a particular measurement. An updatable database located in the “cloud” (i.e. the distributed network) constantly receives the results of measurements made by individual users and updates itself in real time, thus enabling each successive measurement to be made with greater accuracy and confidence as well as expanding the number of substances for which a spectral signature is available.
[0146] Reference is now made to
[0147] The block diagram shown in
[0148] In embodiments that incorporate remote data analysis, the data transferred to the remote system may include one or more of raw detector data; pre-processed detector data or post-processed detector data in which the processing was performed locally; or the spectrum derived from the raw detector data. These examples are not intended to be limiting, and are merely given to illustrate typical embodiments of the invention.
[0149] In some embodiments of the invention, the following signal processing scheme is used. First, an image or a series of images is captured by the image sensor in the spectrometer mentioned above. The images are analyzed by a local processing unit. This stage of analysis may include any or all of image averaging, compensation for aberrations of the optical unit, reduction of detector noise by use of a noise reduction algorithm, or conversion of the image into a raw spectrum. The raw spectrum is then transmitted to a remote processing unit; in preferred embodiments, the transmission is performed using wireless communication.
[0150] The raw spectrum is then analyzed remotely. First, noise reduction is performed. Then, in embodiments in which a Raman spectrum is being obtained, the Raman signal is separated from any fluorescence signal. Both Raman and fluorescence spectra are then compared to existing calibration spectra. After the calibration is performed, the spectra are analyzed using any appropriate algorithm for spectral decomposition; non-limiting examples of such algorithms include Principal Components Analysis, Partial Least-Squares analysis, and spectral analysis using a neural network algorithm. This analysis provides the information needed to characterize the sample that was tested using the spectrometer. The results of the analysis are then presented to the user.