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[Application of Vis/NIR diffuse reflectance spectroscopy to the detection and identification of transgenic tomato leaf].
Guang Pu Xue Yu Guang Pu Fen Xi. 2008 May; 28(5):1062-6.GP

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.

Authors+Show Affiliations

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

English Abstract
Journal Article
Research Support, Non-U.S. Gov't

Language

chi

PubMed ID

18720802

Citation

Xie, Li-Juan, et al. "[Application of Vis/NIR Diffuse Reflectance Spectroscopy to the Detection and Identification of Transgenic Tomato Leaf]." Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, vol. 28, no. 5, 2008, pp. 1062-6.
Xie LJ, Ying YB, Ying TJ, et al. [Application of Vis/NIR diffuse reflectance spectroscopy to the detection and identification of transgenic tomato leaf]. Guang Pu Xue Yu Guang Pu Fen Xi. 2008;28(5):1062-6.
Xie, L. J., Ying, Y. B., Ying, T. J., Tian, H. Q., Niu, X. Y., & Fu, X. P. (2008). [Application of Vis/NIR diffuse reflectance spectroscopy to the detection and identification of transgenic tomato leaf]. Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, 28(5), 1062-6.
Xie LJ, et al. [Application of Vis/NIR Diffuse Reflectance Spectroscopy to the Detection and Identification of Transgenic Tomato Leaf]. Guang Pu Xue Yu Guang Pu Fen Xi. 2008;28(5):1062-6. PubMed PMID: 18720802.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Application of Vis/NIR diffuse reflectance spectroscopy to the detection and identification of transgenic tomato leaf]. AU - Xie,Li-Juan, AU - Ying,Yi-Bin, AU - Ying,Tie-Jin, AU - Tian,Hai-Qing, AU - Niu,Xiao-Ying, AU - Fu,Xia-Ping, PY - 2008/8/30/pubmed PY - 2010/5/19/medline PY - 2008/8/30/entrez SP - 1062 EP - 6 JF - Guang pu xue yu guang pu fen xi = Guang pu JO - Guang Pu Xue Yu Guang Pu Fen Xi VL - 28 IS - 5 N2 - 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. SN - 1000-0593 UR - https://www.unboundmedicine.com/medline/citation/18720802/[Application_of_Vis/NIR_diffuse_reflectance_spectroscopy_to_the_detection_and_identification_of_transgenic_tomato_leaf]_ DB - PRIME DP - Unbound Medicine ER -