光谱学与光谱分析 |
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Comparative Research on the NIR and MIR Micro-Imaging of Two Similar Plastic Materials |
WANG Dong1, 3, MA Zhi-hong2, ZHAO Liu2, PAN Li-gang2, LI Xiao-ting2, WANG Ji-hua1, 2* |
1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China 2. Beijing Research Center for Agri-food Testing and Farmland Monitoring, Beijing 100097, China 3. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China |
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Abstract The NIR/MIR micro-imaging can supply not only the information of spectra, but also the information of spacial distribution of the sample, which is superior to the traditional NIR/MIR spectroscopy analysis. In the present paper, polyethylene and parafilm, with similar appearances, were regarded as the research objects, of which the NIR/MIR micro-imaging was collected. Chemical imaging (CI) and compare correlation imaging were carried out for the two materials respectively to discuss the imaging methods of the two materials. The result indicated that the differentiation of the CI values of the two materials in the NIR/MIR CI for material Ⅱ was 0.004 8 and 0.254 8 respectively, while those in the NIR/MIR CI for material Ⅰ were 0.002 6 and 0.326 5, respectively. Clear CI was acquired, and the two materials could be differentiated. The result of the compare correlation imagings indicated that the compare correlation imagings, in which the NIR/MIR spectra of the two materials were regarded as reference spectra respectively, can differentiate the two materials remarkably with clear imagings. In the compare correlation imagings of MIR micro-imaging, the difference of the correlation coefficients between the two materials’ MIR spectra and the reference spectrum was more than 0.12, which showed a better imaging result; while a tiny difference of the correlation coefficients between the two materials’ NIR spectra and the reference spectrum could be employed to show a clear imaging result for NIR compare correlation imaging so as to differentiate the two materials. This thesis, to some extent, can supply the reference to not only the rapid discrimination of the safety of the packaging material for agri-food, but also the imaging methods for NIR/MIR micro-imaging to differentiate the different materials.
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Received: 2010-12-15
Accepted: 2011-04-30
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Corresponding Authors:
WANG Ji-hua
E-mail: wangjh@nercita.org.cn
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[1] YU Jiang, MA Ting-rui(于 江, 马庭瑞). Packaging Engineering(包装工程), 2009, 30(6): 30. [2] BIAN Zhi-zhong, DAI Jun, CHEN Shang-wei, et al(边志忠, 戴 军, 陈尚卫, 等). Food and Fermentation Industries(食品与发酵工业), 2008, 34(5): 152. [3] Nicola Bart M, Verlinden Bert E, Desmet Michèle, et al. Postharvest Biology and Technology, 2008, 47: 68. [4] Carlomagno G, Capozzo L, Attolico G, et al. Infrared Physics & Technology, 2004, 46: 23. [5] McGlone Andrew V, Martinsen Paul J, Clark Christopher J, et al. Postharvest Biology and Technology, 2005, 37: 142. [6] Pettersson Hans, Aberg Lena. Food Control, 2003, 14: 229. [7] Kawamura Shuso, Natsuga Motoyasu, Takekura Kazuhiro, et al. Computers and Electronics in Agriculture, 2003, 40: 115. [8] Xiccato G, Trocino Angela, De Boever J L, et al. Animal Feed Science and Technology, 2003, 104: 153. [9] TU Zhen-hua, ZHU Da-zhou, JI Bao-ping, et al(屠振华, 朱大洲, 籍保平, 等). Chinese Journal of Analytical Chmistry(分析化学), 2010, 38(1): 45. [10] LIU Min-xuan, WANG Ao-wen, HAN Jian-guo(刘敏轩, 王赘文, 韩建国). Chinese Journal of Analytical Chemisgry(分析化学), 2009, 37(9): 1275. [11] Lobinski R, Moulin C, Ortega R. Biochemie, 2006, 88: 1591. [12] Clarke Fiona. Vibrational Spectroscopy, 2004, 34: 25. [13] van den Broek W H A M, Derks E P P A, van de Ven E W, et al. Chemometrics and Intelligent Laboratory Systems, 1996, 35: 187.
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