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Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy.
Spectrochim Acta A Mol Biomol Spectrosc. 2013 Jan 01; 100:115-9.SA

Abstract

Near infrared (NIR) spectroscopy and multivariate classification were applied to discriminate soybean oil samples into non-transgenic and transgenic. Principal Component Analysis (PCA) was applied to extract relevant features from the spectral data and to remove the anomalous samples. The best results were obtained when with Support Vectors Machine-Discriminant Analysis (SVM-DA) and Partial Least Squares-Discriminant Analysis (PLS-DA) after mean centering plus multiplicative scatter correction. For SVM-DA the percentage of successful classification was 100% for the training group and 100% and 90% in validation group for non transgenic and transgenic soybean oil samples respectively. For PLS-DA the percentage of successful classification was 95% and 100% in training group for non transgenic and transgenic soybean oil samples respectively and 100% and 80% in validation group for non transgenic and transgenic respectively. The results demonstrate that NIR spectroscopy can provide a rapid, nondestructive and reliable method to distinguish non-transgenic and transgenic soybean oils.

Authors+Show Affiliations

Rio de Janeiro State University, Department of Analytical Chemistry, Rua São Francisco Xavier, 524, Maracanã, CEP 20550-013, Rio de Janeiro, Brazil. asluna@uerj.brNo 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

22502875

Citation

Luna, Aderval S., et al. "Rapid Characterization of Transgenic and Non-transgenic Soybean Oils By Chemometric Methods Using NIR Spectroscopy." Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, vol. 100, 2013, pp. 115-9.
Luna AS, da Silva AP, Pinho JS, et al. Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc. 2013;100:115-9.
Luna, A. S., da Silva, A. P., Pinho, J. S., Ferré, J., & Boqué, R. (2013). Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy. Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, 100, 115-9. https://doi.org/10.1016/j.saa.2012.02.085
Luna AS, et al. Rapid Characterization of Transgenic and Non-transgenic Soybean Oils By Chemometric Methods Using NIR Spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc. 2013 Jan 1;100:115-9. PubMed PMID: 22502875.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy. AU - Luna,Aderval S, AU - da Silva,Arnaldo P, AU - Pinho,Jéssica S A, AU - Ferré,Joan, AU - Boqué,Ricard, Y1 - 2012/03/29/ PY - 2011/11/30/received PY - 2012/02/16/revised PY - 2012/02/22/accepted PY - 2012/4/17/entrez PY - 2012/4/17/pubmed PY - 2013/5/2/medline SP - 115 EP - 9 JF - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy JO - Spectrochim Acta A Mol Biomol Spectrosc VL - 100 N2 - Near infrared (NIR) spectroscopy and multivariate classification were applied to discriminate soybean oil samples into non-transgenic and transgenic. Principal Component Analysis (PCA) was applied to extract relevant features from the spectral data and to remove the anomalous samples. The best results were obtained when with Support Vectors Machine-Discriminant Analysis (SVM-DA) and Partial Least Squares-Discriminant Analysis (PLS-DA) after mean centering plus multiplicative scatter correction. For SVM-DA the percentage of successful classification was 100% for the training group and 100% and 90% in validation group for non transgenic and transgenic soybean oil samples respectively. For PLS-DA the percentage of successful classification was 95% and 100% in training group for non transgenic and transgenic soybean oil samples respectively and 100% and 80% in validation group for non transgenic and transgenic respectively. The results demonstrate that NIR spectroscopy can provide a rapid, nondestructive and reliable method to distinguish non-transgenic and transgenic soybean oils. SN - 1873-3557 UR - https://www.unboundmedicine.com/medline/citation/22502875/Rapid_characterization_of_transgenic_and_non_transgenic_soybean_oils_by_chemometric_methods_using_NIR_spectroscopy_ DB - PRIME DP - Unbound Medicine ER -