Identification of Animal Whole Blood Based on Near Infrared Transmission Spectroscopy
WAN Xiong1, WANG Jian2*, LIU Peng-xi1, ZHANG Ting-ting1
1. Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China 2. Shanghai Municipal Animal Diseases Control Center, Shanghai 201103, China
Abstract:The inspection and classification for blood products are important but complicated in import-export ports or inspection and quarantine departments. For the inspection of whole blood products, open sampling can cause pollution and virulence factors in bloods samples may even endanger inspectors. Thus non-contact classification and identification methods for whole bloods of animals are needed. Spectroscopic techniques adopted in the flowcytometry need sampling blood cells during the detection; therefore they can not meet the demand of non-contact identification and classification for whole bloods of animals. Infrared absorption spectroscopy is a technique that can be used to analyze the molecular structure and chemical bonds of detected samples under the condition of non-contact. To find a feasible spectroscopic approach of non-contact detection for the species variation in whole blood samples, a near infrared transmitted spectra (NITS, 4 497.669~7 506.4 cm-1) experiment of whole blood samples of three common animals including chickens, dogs and cats has been conducted. During the experiment, the spectroscopic resolution is 5 cm-1, and each spectrogram is an average of 5 measured spectral data. Experimental results show that all samples have a sharp absorption peak between 5 184 and 5 215 cm-1, and a gentle absorption peak near 7 000 cm-1. Besides, the NITS curves of different samples of same animals are similar, and only have slight differences in the whole transmittance. A correlation coefficient (CC) is induced to distinguish the differences of the three animals’ whole bloods in NITS curves, and the computed CCs between NITS curves of different samples of the same animals, are greater than 0.99, whereas CCs between NITS curves of the whole bloods of different animals are from 0.509 48 to 0.916 13. Among which CCs between NITS curves of the whole bloods of chickens and cats are from 0.857 23 to 0.912 44, CCs between NITS curves of the whole bloods of chickens and dogs are from 0.509 48 to 0.664 82, and CCs between NITS curves of the whole bloods of cats and dogs are from 0.872 75 to 0.916 13. The cat and the dog belong to the class of mammal, and the CCs between their whole bloods NITS curves are greater than those between chickens and cats, or chickens and dogs, which are hetero-class animals. Namely, the whole bloods NITS curves of the cat and the dog have higher similarity. These results of NITS provide a feasible method of non-contact identification of animal whole bloods.
万 雄1,王 建2*,刘鹏希1,章婷婷1 . 近红外透射光谱的动物全血鉴别 [J]. 光谱学与光谱分析, 2016, 36(01): 80-83.
WAN Xiong1, WANG Jian2*, LIU Peng-xi1, ZHANG Ting-ting1 . Identification of Animal Whole Blood Based on Near Infrared Transmission Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(01): 80-83.
[1] Wallner G, Amann R, Beisker W. Cytometry, 1993, 14(2): 136. [2] Herzenberg L A, Parks D, Sahaf B, et al. Clinical Chemistry, 2002, 48(10): 1819. [3] De Grooth B G, Terstappen L, Pupples G J, et al. Cytometry, 1987, 8(6): 539. [4] Ion R M, Planner A, Wiktorowicz K, et al. Acta Biochimica Polonica English Edition, 1998, 45: 833. [5] Chappell J S, Bloch A N, Bryden W A, et al. Journal of the American Chemical Society, 1981, 103(9): 2442. [6] Kreuzer L B. Journal of Applied Physics, 1971, 42(7): 2934. [7] Xu M, Gao Y, Moreno E M, et al. Physical Review Letters, 2011, 106(13): 138302. [8] Lewis S J. Proceedings of the Royal Society of London. Series B, Containing Papers of a Biological Character, 1916, 89(617): 327. [9] XU Shao-feng,LIN Shao-zhong, CHEN Rong(许少峰, 林少忠,陈 荣). Applied Laser(应用激光),1997. 6. [10] CHEN Rong, XU Shao-feng(陈 荣, 许少峰). Chinese Laser Medical Magzine(中国激光医学杂志), 1997, 6(3): 142. [11] Friebel M, Do K, Hahn A, et al. Journal of Biomedical Optics, 1999, 4(1): 36. [12] Almulla A M F, Agab A W, Almannai L S, et al. Royal College of Surgeons in Ireland Student Medical Journal, 2011, 4(1): 82.