Spectroscopic characterization of seafood
A method and apparatus for field spectroscopic characterization of seafood is disclosed. A portable NIR spectrometer is connected to an analyzer configured for performing a multivariate analysis of reflection spectra to determine qualitatively the true identities or quantitatively the freshness of seafood samples.
1. A method comprising:
receiving, by a mobile device, a reflection spectrum of a sample;
providing, by the mobile device, the reflection spectrum to a remote server;
receiving, by the mobile device and from the remote server, a result of a multivariate pattern recognition analysis that is performed by comparing a distance parameter, based on the reflection spectrum and known identity spectra corresponding to different species of seafood, to a threshold associated with a species of seafood of the different species of seafood;
determining, by the mobile device, information regarding the sample based on receiving the result of the multivariate pattern recognition analysis; and
providing, by the mobile device and for display, the information regarding the sample.
2. The method of claim 1 , wherein receiving the result of the multivariate pattern recognition analysis comprises:
receiving the result of the multivariate pattern recognition analysis after the remote server identifies the sample based on performing the multivariate pattern recognition analysis.
3. The method of claim 1 , wherein determining the information regarding the sample comprises:
identifying, by the mobile device and after receiving the result of the multivariate pattern recognition analysis, the sample based on the multivariate pattern recognition analysis; and
determining the information regarding the sample based on identifying the sample.
4. The method of claim 1 , wherein the mobile device receives the reflection spectrum from a portable spectrometer that is connected to the mobile device via a wireless link.
5. The method of claim 1 , wherein providing the reflection spectrum to the remote server comprises:
providing the reflection spectrum to the remote server via a cellular connection.
6. The method of claim 1 , where the sample is a seafood sample.
7. The method of claim 1 ,
wherein the information regarding the sample includes an identity of the sample, and
wherein a library of the known identity spectra is generated based on collecting a first plurality of spectra for at least one seafood sample of a plurality of samples and performing an operation on the first plurality of spectra to generate a second plurality of spectra corresponding to the known identity spectra.
8. A mobile device comprising:
one or more memories; and
one or more processors communicatively coupled to the one or more memories, configured to:
receive, from a spectrometer, a reflection spectrum of a sample;
provide the reflection spectrum to a remote server;
receive, from the remote server, a result of a multivariate pattern recognition analysis that is performed by comparing a distance parameter, based on the reflection spectrum and known identity spectra corresponding to different species of seafood, to a threshold associated with a species of seafood of the different species of seafood; and
provide, for display, information regarding the sample based on receiving the result of the multivariate pattern recognition analysis.
9. The mobile device of claim 8 , wherein the one or more processors, when receiving the result of the multivariate pattern recognition analysis, are configured to:
receive the result of the multivariate pattern recognition analysis after the remote server identifies the sample based on performing the multivariate pattern recognition analysis.
10. The mobile device of claim 8 , wherein the one or more processors are further configured to:
identify, after receiving the result of the multivariate pattern recognition analysis, the sample based on the multivariate pattern recognition analysis.
11. The mobile device of claim 8 ,
wherein the mobile device and the spectrometer are connected via a wireless link, and
wherein the spectrometer is a portable spectrometer.
12. The mobile device of claim 8 , wherein the one or more processors, when providing the reflection spectrum to the remote server, are configured to:
provide the reflection spectrum to the remote server via a cell tower.
13. The mobile device of claim 8 , where the sample is a seafood sample.
14. The mobile device of claim 8 ,
wherein the information regarding the sample includes an identity of the sample, and
wherein a library of the known identity spectra is generated based on collecting a first plurality of spectra for at least one seafood sample of a plurality of samples and performing an operation on the first plurality of spectra to generate a second plurality of spectra corresponding to the known identity spectra.
15. A non-transitory computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors, cause the one or more processors to:
receive a reflection spectrum of a sample;
provide the reflection spectrum to a remote server;
receive, from the remote server, a result of a multivariate pattern recognition analysis that is performed by comparing a distance parameter, based on the reflection spectrum and known identity spectra corresponding to different species of seafood, to a threshold associated with a species of seafood of the different species of seafood; and
provide, for display, information regarding the sample based on receiving the result of the multivariate pattern recognition analysis.
16. The non-transitory computer-readable medium of claim 15 , wherein the one or more instructions, that cause the one or more processors to receive the result of the multivariate pattern recognition analysis, cause the one or more processors to:
receive the result of the multivariate pattern recognition analysis after the remote server identifies the sample based on performing the multivariate pattern recognition analysis.
17. The non-transitory computer-readable medium of claim 15 , wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:
identify, after receiving the result of the multivariate pattern recognition analysis, the sample based on the multivariate pattern recognition analysis.
18. The non-transitory computer-readable medium of claim 15 ,
wherein a library of the known identity spectra is generated based on collecting a first plurality of spectra for at least one seafood sample of a plurality of samples and performing an operation on the first plurality of spectra to generate a second plurality of spectra corresponding to the known identity spectra.
19. The non-transitory computer-readable medium of claim 15 , wherein the reflection spectrum is received from a portable spectrometer.
20. The non-transitory computer-readable medium of claim 19 , wherein the one or more processors are included in a mobile device that is connected to the portable spectrometer via a wired link.