Configurable handheld biological analyzers for identification of biological products based on Raman spectroscopy

A biological analytics method for identification of biological products based on Raman spectroscopy, the biological analytics method comprising:

• loading, into a first computer memory of a first configurable handheld biological analyzer having a first processor and a first scanner, a biological classification model configuration, the biological classification model configuration comprising a biological classification model;
• receiving, by the biological classification model, a first Raman-based spectra dataset defining a first biological product sample as scanned by the first scanner;
• executing a spectral preprocessing algorithm of the biological classification model to reduce a spectral variance of the first Raman-based spectra dataset;
• and
• identifying, with the biological classification model, a biological product type based on the first Raman-based spectra dataset,
• wherein the biological classification model comprises a classification component selected to reduce at least one of (1) a Q-residual error of the biological classification model, or (2) a summary-of-fit value of the biological classification model, the biological classification model configured to identify the biological product type of the first biological product sample based on the classification component.

A tangible, non-transitory computer-readable medium storing instructions for identification of biological products based on Raman spectroscopy, that when executed by one or more processors of a configurable handheld biological analyzer cause the one or more processors of the configurable handheld biological analyzer to:

• load, into a computer memory of the configurable handheld biological analyzer having a scanner, a biological classification model configuration, the biological classification model configuration comprising a biological classification model;
• receive, by the biological classification model, a Raman-based spectra dataset defining a biological product sample as scanned by the scanner;
• execute a spectral preprocessing algorithm of the biological classification model to reduce a spectral variance of the Raman-based spectra dataset;
• and
• identify, with the biological classification model, a biological product type based on the Raman-based spectra dataset,
• wherein the biological classification model comprises a classification component selected to reduce at least one of (1) a Q-residual error of the biological classification model, or (2) a summary-of-fit value of the biological classification model, the biological classification model configured to identify the biological product type of the biological product sample based on the classification component.