Abstract
Raman spectral imaging is an effective method to analyze and evaluate the chemical composition and structure of a sample, and has many applications for food safety and quality research. This study developed a 1064 nm dispersive Raman spectral imaging system for surface and subsurface analysis of food samples. A 1064 nm laser module is used for sample excitation. A bifurcated optical fiber coupled with Raman probe is used to focus excitation laser on the sample and carry scattering signal to the spectrograph. A high throughput volume phase grating disperses the incoming Raman signal. A 512 pixels Indium-Gallium-Arsenide (InGaAs) detector receives the dispersed light signal. A motorized positioning table moves the sample in two-axis directions, accumulating hyperspectral image of the sample by the point-scan method. An interface software was developed in-house for parameterization, data acquisition, and data transfer. The system was spectrally calibrated using naphthalene and polystyrene. It has the Raman shift range of 142 to 1820 cm−1, the spectral resolution of 12 cm−1 at full width half maximum (FWHM). The spatial resolution of the system was evaluated using a standard resolution glass test chart. It has the spatial resolution of 0.1 mm. The application of the system was demonstrated by surface and subsurface detection of metanil yellow contamination in turmeric powder. Results indicate that the 1064 nm dispersive Raman spectral imaging system is a useful tool for food safety and quality evaluation.
Highlights
Incidents of foodborne illness outbreaks have necessitated the development of a reliable technique for food safety and quality evaluation
The software development kits (SDKs) that were provided by system operational parameters, such as initialization, exposure time, spectral acquisition and manufacturers of InGaAs detector and positioning table were used to develop the interface software
A 1064 nm dispersive Raman spectral imaging system was developed for food safety and nm dispersive
Summary
Incidents of foodborne illness outbreaks have necessitated the development of a reliable technique for food safety and quality evaluation. This study used state-of-art 1064 nm Raman spectrograph to develop a 1064 nm dispersive Raman spectral imaging system for food safety and quality evaluation. Develop a 1064 nm dispersive Raman spectral imaging system for food safety and quality evaluation; present the detailed description of the system, hardware components and interface software; 4. 3 of 17 for detection of metanil yellow contamination in turmeric powder at different concentrations; and, present the application detailed description of the system, hardware components and interface software; demonstrate for non-destructive subsurface detection and identification of. 3. demonstrate application example of the 1064 nm dispersive Raman spectral imaging system for gelatin-encapsulated pure and mixed samples of metanil yellow and turmeric powder by detection of metanil yellow contamination in turmeric powder at different concentrations; and, SORS method. Demonstrate application for non-destructive subsurface detection and identification of gelatin-encapsulated pure and mixed samples of metanil yellow and turmeric powder by SORS.
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