Presentation
14 May 2019 Food safety and quality applications of line-scan Raman imaging and spectroscopy techniques (Conference Presentation)
Author Affiliations +
Abstract
Commercial Raman systems generally conduct imaging and spectroscopy measurements at subcentimeter scales. Such small spatial ranges cannot be used to inspect food samples with large surface areas (e.g., tomato fruit and beef steak), which is not convenient for food experiments. A line-scan macro-scale Raman system has been developed using a 785 nm line laser to implement high-throughput Raman chemical imaging (RCI) for food safety and quality research. A one-axis positioning table is used to move the samples to accumulate hyperspectral data using a pushbroom method. A dispersive Raman spectrograph is used in the system, which can be configured to backscattering RCI mode for surface inspection and spatially offset Raman spectroscopy (SORS) mode for subsurface inspection. In-house developed LabVIEW software is used to fulfill functions for system control, hardware parameterization, and data transfer. The systems is flexible and versatile for food test, and it has been used to evaluate safety and quality of various food and agricultural products, such as detecting chemical adulterants mixed in food powders, mapping carotenoid content on carrot cross section, imaging whole surface of pork shoulder, and authenticating foods and ingredients through packages.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianwei Qin, Moon S. Kim, Kuanglin Chao, Jeehwa Hong, Insuck Baek, Sagar Dhakal, and Byoung-Kwan Cho "Food safety and quality applications of line-scan Raman imaging and spectroscopy techniques (Conference Presentation)", Proc. SPIE 11016, Sensing for Agriculture and Food Quality and Safety XI, 1101604 (14 May 2019); https://doi.org/10.1117/12.2519083
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KEYWORDS
Raman spectroscopy

Food inspection

Inspection

Safety

Laser safety

Laser systems engineering

Imaging systems

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