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Food safety and quality applications of line-scan Raman imaging and spectroscopy techniques (Conference Presentation)
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Paper Abstract

A transportable dual-band laser Raman spectroscopy and imaging system has been developed for automatic food safety inspection. The system uses two point lasers at wavelengths of 785 and 1064 nm as separated excitation sources for Raman measurement of different food and agricultural products (e.g., samples that generate low or high fluorescence interference signals). Two integrated laser probes are used to focus the laser light on the sample surfaces and collect the Raman scattering signals. Correspondingly, the system uses two miniature Raman spectrometers to accommodate the dual-band laser excitations for the Raman spectral acquisition. The system can perform point-scan Raman imaging measurement to inspect food samples with large surfaces. It can also conduct flexible and automatic Raman spectroscopy measurement for samples placed in a fixed pattern (e.g., liquid samples in a 96-well plate) or randomly scattered in a sample holder (e.g., bacteria colonies in a 100 mm petri dish). Automatic sample counting, positioning, sampling, and synchronization is realized by machine vision and motion control techniques. In-house software developed using LabVIEW is used to control the system for automatic food evaluation. The entire system is built on a 30 cm × 45 cm aluminum breadboard, making it compact and transportable that is suitable for rapid field and on-site food safety inspection.

Paper Details

Date Published: 14 May 2019
Proc. SPIE 11016, Sensing for Agriculture and Food Quality and Safety XI, 1101604 (14 May 2019); doi: 10.1117/12.2519083
Show Author Affiliations
Jianwei Qin, Agricultural Research Service (United States)
Moon S. Kim, Agricultural Research Service (United States)
Kuanglin Chao, Agricultural Research Service (United States)
Jeehwa Hong, Agricultural Research Service (United States)
Insuck Baek, Agricultural Research Service (United States)
Sagar Dhakal, Agricultural Research Service (United States)
Byoung-Kwan Cho, Chungnam National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 11016:
Sensing for Agriculture and Food Quality and Safety XI
Moon S. Kim; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

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