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Quantification of chlorophyll content and classification of nontransgenic and transgenic tomato leaves using visible/near-infrared diffuse reflectance spectroscopy.
J Agric Food Chem. 2007 Jun 13; 55(12):4645-50.JA

Abstract

Visible/near-infrared (vis/NIR) spectroscopy combined with multivariate analysis was used to quantify chlorophyll content in tomato leaves and classify tomato leaves with different genes. In this study, transgenic tomato leaves with antisense LeETR1 (n = 106) and their parent nontransgenic ones (n = 102) were measured in vis/NIR diffuse reflectance mode. Quantification of chlorophyll content was achieved by partial least-squares regression with a cross-validation prediction error equal to 2.87. Partial least-squares discriminant analysis was performed to classify leaves. The results show that differences between transgenic and nontransgenic tomato leaves do exist, and excellent classification can be obtained after optimizing spectral pretreatment. The classification accuracy can reach to 100% using the derivative of spectral data in the full and partial wavenumber range. These results demonstrate that vis/NIR spectroscopy together with chemometrics techniques could be used to quantify chlorophyll content and differentiate tomato leaves with different genes, 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 Street, 310029 Hangzhou, People's Republic of China.No affiliation info availableNo affiliation info available

Pub Type(s)

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

Language

eng

PubMed ID

17503831

Citation

Xie, Lijuan, et al. "Quantification of Chlorophyll Content and Classification of Nontransgenic and Transgenic Tomato Leaves Using Visible/near-infrared Diffuse Reflectance Spectroscopy." Journal of Agricultural and Food Chemistry, vol. 55, no. 12, 2007, pp. 4645-50.
Xie L, Ying Y, Ying T. Quantification of chlorophyll content and classification of nontransgenic and transgenic tomato leaves using visible/near-infrared diffuse reflectance spectroscopy. J Agric Food Chem. 2007;55(12):4645-50.
Xie, L., Ying, Y., & Ying, T. (2007). Quantification of chlorophyll content and classification of nontransgenic and transgenic tomato leaves using visible/near-infrared diffuse reflectance spectroscopy. Journal of Agricultural and Food Chemistry, 55(12), 4645-50.
Xie L, Ying Y, Ying T. Quantification of Chlorophyll Content and Classification of Nontransgenic and Transgenic Tomato Leaves Using Visible/near-infrared Diffuse Reflectance Spectroscopy. J Agric Food Chem. 2007 Jun 13;55(12):4645-50. PubMed PMID: 17503831.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Quantification of chlorophyll content and classification of nontransgenic and transgenic tomato leaves using visible/near-infrared diffuse reflectance spectroscopy. AU - Xie,Lijuan, AU - Ying,Yibin, AU - Ying,Tiejin, Y1 - 2007/05/16/ PY - 2007/5/17/pubmed PY - 2007/9/13/medline PY - 2007/5/17/entrez SP - 4645 EP - 50 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 55 IS - 12 N2 - Visible/near-infrared (vis/NIR) spectroscopy combined with multivariate analysis was used to quantify chlorophyll content in tomato leaves and classify tomato leaves with different genes. In this study, transgenic tomato leaves with antisense LeETR1 (n = 106) and their parent nontransgenic ones (n = 102) were measured in vis/NIR diffuse reflectance mode. Quantification of chlorophyll content was achieved by partial least-squares regression with a cross-validation prediction error equal to 2.87. Partial least-squares discriminant analysis was performed to classify leaves. The results show that differences between transgenic and nontransgenic tomato leaves do exist, and excellent classification can be obtained after optimizing spectral pretreatment. The classification accuracy can reach to 100% using the derivative of spectral data in the full and partial wavenumber range. These results demonstrate that vis/NIR spectroscopy together with chemometrics techniques could be used to quantify chlorophyll content and differentiate tomato leaves with different genes, which offers the benefit of avoiding time-consuming, costly, and laborious chemical and sensory analysis. SN - 0021-8561 UR - https://www.unboundmedicine.com/medline/citation/17503831/Quantification_of_chlorophyll_content_and_classification_of_nontransgenic_and_transgenic_tomato_leaves_using_visible/near_infrared_diffuse_reflectance_spectroscopy_ L2 - https://doi.org/10.1021/jf063664m DB - PRIME DP - Unbound Medicine ER -