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Discrimination of transgenic tomatoes based on visible/near-infrared spectra.
Anal Chim Acta. 2007 Feb 19; 584(2):379-84.AC

Abstract

VIS-NIR spectroscopy combined with multivariate analysis after the appropriate spectral data pre-treatment has been proved to be a very powerful tool for judgment of the relative pattern of the objects that have very similar properties. In this study, seventy transgenic tomatoes with antisense LeETR2 and 94 of their parents, non-transgenic ones were measured in VIS-NIR diffuse reflectance mode. Principal component analysis (PCA), discriminant analysis (DA) and partial least-squares discriminant analysis (PLSDA) were applied to classify tomatoes with different genes into two groups. Calibrations were developed using PLS regression with the leave-one-out cross-validation technique. The results show that differences between transgenic and non-transgenic tomatoes do exist and excellent classification can be obtained after optimizing spectral pre-treatment. The correct classifications for transgenic and non-transgenic tomatoes were both 100% using PLSDA after derivative spectral pre-treatment. The raw spectra with PLSDA model after the second derivative pre-treatment had the best satisfactory calibration and prediction abilities, with r(c)=0.97964, root mean square error of calibration (RMSEC)=0.099, r(cv)=0.97963, root mean square error of cross-validation (RMSECV)=0.0993 and a factor. The results in the present study show VIS-NIR spectroscopy together with chemometrics techniques could be used to differentiate transgenic tomato, which offers the benefit of avoiding time-consuming, costly and laborious chemical and sensory analysis.

Authors+Show Affiliations

College of Biosystems Engineering and Food Science, Zhejiang University, 268 Kaixuan St., 310029 Hangzhou, PR China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

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

Language

eng

PubMed ID

17386628

Citation

Xie, Lijuan, et al. "Discrimination of Transgenic Tomatoes Based On Visible/near-infrared Spectra." Analytica Chimica Acta, vol. 584, no. 2, 2007, pp. 379-84.
Xie L, Ying Y, Ying T, et al. Discrimination of transgenic tomatoes based on visible/near-infrared spectra. Anal Chim Acta. 2007;584(2):379-84.
Xie, L., Ying, Y., Ying, T., Yu, H., & Fu, X. (2007). Discrimination of transgenic tomatoes based on visible/near-infrared spectra. Analytica Chimica Acta, 584(2), 379-84.
Xie L, et al. Discrimination of Transgenic Tomatoes Based On Visible/near-infrared Spectra. Anal Chim Acta. 2007 Feb 19;584(2):379-84. PubMed PMID: 17386628.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination of transgenic tomatoes based on visible/near-infrared spectra. AU - Xie,Lijuan, AU - Ying,Yibin, AU - Ying,Tiejin, AU - Yu,Haiyan, AU - Fu,Xiaping, Y1 - 2006/12/03/ PY - 2006/09/13/received PY - 2006/11/24/revised PY - 2006/11/28/accepted PY - 2007/3/28/pubmed PY - 2007/5/8/medline PY - 2007/3/28/entrez SP - 379 EP - 84 JF - Analytica chimica acta JO - Anal Chim Acta VL - 584 IS - 2 N2 - VIS-NIR spectroscopy combined with multivariate analysis after the appropriate spectral data pre-treatment has been proved to be a very powerful tool for judgment of the relative pattern of the objects that have very similar properties. In this study, seventy transgenic tomatoes with antisense LeETR2 and 94 of their parents, non-transgenic ones were measured in VIS-NIR diffuse reflectance mode. Principal component analysis (PCA), discriminant analysis (DA) and partial least-squares discriminant analysis (PLSDA) were applied to classify tomatoes with different genes into two groups. Calibrations were developed using PLS regression with the leave-one-out cross-validation technique. The results show that differences between transgenic and non-transgenic tomatoes do exist and excellent classification can be obtained after optimizing spectral pre-treatment. The correct classifications for transgenic and non-transgenic tomatoes were both 100% using PLSDA after derivative spectral pre-treatment. The raw spectra with PLSDA model after the second derivative pre-treatment had the best satisfactory calibration and prediction abilities, with r(c)=0.97964, root mean square error of calibration (RMSEC)=0.099, r(cv)=0.97963, root mean square error of cross-validation (RMSECV)=0.0993 and a factor. The results in the present study show VIS-NIR spectroscopy together with chemometrics techniques could be used to differentiate transgenic tomato, which offers the benefit of avoiding time-consuming, costly and laborious chemical and sensory analysis. SN - 1873-4324 UR - https://www.unboundmedicine.com/medline/citation/17386628/Discrimination_of_transgenic_tomatoes_based_on_visible/near_infrared_spectra_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0003-2670(06)02284-7 DB - PRIME DP - Unbound Medicine ER -