Rice Origin Tracing Technology Based on Fluorescence Spectroscopy and Stoichiometry.

Area of Science:

• Agricultural Science
• Analytical Chemistry
• Spectroscopy

Background:

• Agricultural product origin impacts quality and safety.
• Climate, environment, and geology influence rice chemical composition.
• Authenticating rice origin is vital for brand protection and traceability.

Purpose of the Study:

• To explore differences in rice chemical composition and structure from various origins.
• To develop a method for authenticating rice origin using fluorescence detection.
• To establish a rapid and accurate rice origin identification system.

Main Methods:

• Collected fluorescence spectral data from rice seeds of the same variety planted in different Jilin Province regions.
• Preprocessed spectral data using normalization, smoothing, and wavelet transformation.
• Applied uninformative variable elimination (UVE) and successive projections algorithm (SPA) for wavelength screening.
• Utilized a support vector machine (SVM) model for origin prediction.

Main Results:

• Identified fluorescence absorption peaks for nicotinamide adenine dinucleotide (NADPH), riboflavin (B2), starch, and protein within specific spectral ranges (475-525 nm and 665-690 nm).
• The SVM-based origin tracing model achieved a classification accuracy of up to 99.5%.
• Demonstrated high discrimination accuracy of fluorescence spectroscopy for rice origin tracing.

Conclusions:

• Fluorescence spectroscopy is a highly effective technology for tracing rice origin.
• This method offers a novel approach for rapid and accurate identification of rice provenance.
• The developed model supports rice authentication, brand protection, and traceability.