Abstract：The feasibility of Vis/NIR spectroscopy technique for rapid and non-invasive detection of transgenic tomato leaves from conventional ones was investigated by means of spectral diffuse reflectance mode. A total of 68 samples (38 transgenic ones and 30 non-transgenic ones) were used for classification. The calibration and validation results were analyzed via discriminant analysis (DA) and partial least squares (PLS) discriminant method using TQ 6.2.1 quantitative software. Models based on the different spectral pre-processing methods (multiplicative signal correction (MSC), first and second derivative) were compared. It was found that the classification accuracy using DA was higher than that using PLS and the best results were gained by using spectra after MSC with InGaAs detector and the classification accuracy was 89.7% (accuracy of 86.8% for transgenic samples and 93.3% for non-transgenic ones). The results show that Vis-NIR diffuse reflectance spectroscopy technique is a feasible and fast method for non-invasive detection of transgenic and non-transgenic tomato leaves.
[1] Jack Q Wilkinson，Michael B Lanahan，Hsiao-Ching Yen，et al. Science of the United States of America，1995，270：1807. [2] Wang W，Hall A E，O’Malley R，et al. Proceedings of the National Academy of Sciences，2003，100：352. [3] ZHU Zhen，LIU Xiang（朱 祯，刘 翔）. Journal of Agricultural Biotechnology（农业生物技术学报），2000，8（1）：1. [4] Andow D A, Zwahlen C. Ecology Letters, 2006, 9(6): 196. [5] Anil K Deisingh，Neela Badrie. Food Research International，2005，38：639. [6] Sand P H. Review of European Community and International Environmental Law, 2006, 15(2): 185. [7] Anil K, Neela B. Food Research International, 2005, 38: 639. [8] Taverniers I，Van Bockstaele E，De Loose M. Analytical and Bioanalytical Chemistry，2004，378（5）：1198. [9] Hubner P，Studer E，Luthy J. Food Control，1999，10（6）：353. [10] Zimmermann A，Lüthy J，Pauli U. Lebensmittel-Wissenschaft und-Technologie，2000，33（3）：210. [11] Brunnert H-J，Spener F，Borchers T. European Food Research and Technology，2001，213（4-5）：366. [12] Liu G，Su W，Xu Q，et al. Food Control，2004，15（4）：303. [13] Mannelli I，Minunni M，Tombelli S，et al. IEEE Sensors Journal，2003，3（4）：369. [14] Rogan G J，Dudin Y A，Lee T C，et al. Food Control，1999，10：407. [15] LIU Yan-de, YING Yi-bin（刘燕德，应义斌）. Spectroscopy and Spectral Analysis （光谱学与光谱分析），2006，26（8）：1454. [16] Sylvie A Roussel，Connie L Hardy，Charles R Hurburgh，et al. Applied Spectroscopy，2001，55（10）：1425. [17] RUI Yu-kui，LUO Yun-bo，HUANG Kun-lun，et al（芮玉奎，罗云波，黄昆仑，等）. Spectroscopy and Spectral Analysis（光谱学与光谱分析），2005，25（10）：1581. [18] RUI Yu-kui, HUANG Kun-lun, WANG Wei-min, et al(芮玉奎，黄昆仑，王为民，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2006，26(12)：2190. [19] RUI Yu-kui, HUANG Kun-lun, TIAN Hui-qin, et al(芮玉奎，黄昆仑，田惠琴，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2007，27(1)：35. [20] Xie L, Ying Y, Ying T, et al. Analytica Chimica Acta, 2007, 584: 379. [21] Xie L, Ying Y, Ying T. J. Food Engineering, 2007, 80: 395. [22] Xie L, Ying Y, Ying T. Journal of Agricultural and Food Chemistry, 2007, 55: 4645. [23] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al（严衍禄，赵龙莲，韩东海，等）. Fundamental and Application of Near Infrared Spectroscopy Analysis(近红外光谱分析基础与应用). Beijing：China Light Industry Press（北京：中国轻工业出版社），2005. 147. [24] Marie E Lafargue，Max Feinber，Jean-Jacques Daudin，et al. J. Near Infrared Spectrosc.，2003，11：109. [25] Lister S J，Dhanoa M S，Stewart J L，et al. Animal Feed Science and Technology，2000，86：221.
