[논문]Subsurface inspection of food safety and quality using line-scan spatially offset Raman spectroscopy technique

Qin, Jianwei; Kim, Moon S.; Chao, Kuanglin; Schmidt, Walter F.; Dhakal, Sagar; Cho, Byoung-Kwan; Peng, Yankun; Huang, Min

doi:10.1016/j.foodcont.2016.12.012

Subsurface inspection of food safety and quality using line-scan spatially offset Raman spectroscopy technique

Food control, v.75, 2017년, pp.246 - 254

Qin, Jianwei (USDA) , Kim, Moon S. (USDA) , Chao, Kuanglin (USDA) , Schmidt, Walter F. (USDA) , Dhakal, Sagar (USDA) , Cho, Byoung-Kwan (Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseoung-gu, Daejeon 305-764, South Korea) , Peng, Yankun (College of Engineering, China Agricultural University, 17 Qing) , Huang, Min

Abstract ▼ AI-Helper

Subsurface inspection of food and agricultural products is challenging for optical-based sensing techniques due to complex interactions between light and heterogeneous or layered samples. In this study, a method for subsurface food inspection was presented based on a newly developed line-scan spatially offset Raman spectroscopy (SORS) technique. A 785 nm point laser was used as a Raman excitation source. The line-shape SORS data from the sample was collected in a wavenumber range of 0-2815 cm(-1) using a detection module consisting of an imaging spectrograph and a CCD camera. Two layered samples, one by placing a 1 mm thick plastic sheet cut from original container on top of cane sugar and the other by placing a 5 mm thick carrot slice on top of melamine powder, were created to test the subsurface food inspection method. For each sample, a whole set of SORS data was acquired using one CCD exposure in an offset range of 0-36 mm (two sides of the incident laser point) with a spatial interval of 0.07 mm. Raman spectra from the cane sugar under the plastic sheet and the melamine powder under the carrot slice were successfully resolved using self-modeling mixture analysis (SMA) algorithms, demonstrating the potential of the technique for authenticating foods and ingredients through packaging and evaluating internal food safety and quality attributes. The line-scan SORS measurement technique provides a rapid and nondestructive method for subsurface inspection of food safety and quality. Published by Elsevier Ltd.

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참고문헌 (26)

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Subsurface inspection of food safety and quality using line-scan spatially offset Raman spectroscopy technique

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Subsurface inspection of food safety and quality using line-scan spatially offset Raman spectroscopy technique

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