Application of terahertz spectroscopy and chemometrics for discrimination of transgenic camellia oil.

Discrimination of transgenic edible oil has become the focus of attention in the field of food safety. In this paper, we propose a method for discrimination of transgenic edible oils by using terahertz spectroscopy combine with weighted linear discriminant analysis (WLDA). To evaluate the lustiness of the model, we employ successive projection arithmetic (SPA) and partial least squares (PLS) to verify the discrimination performance through variable selection. The results demonstrate that the SPA-WLDA model has higher classification accuracy than PLS-WLDA. In conclusion, terahertz spectroscopy is coupled with chemometrics is an effective method for discriminating various types of transgenic edible oils.

[1]  J. Liu,et al.  Identification of Transgenic Organisms Based on Terahertz Spectroscopy and Hyper Sausage Neuron , 2015 .

[2]  Ronei J. Poppi,et al.  Determination of the total unsaturation in vegetable oils by Fourier transform Raman spectroscopy and multivariate calibration , 2001 .

[3]  C. Hodgson,et al.  Phenacoccus solenopsis Tinsley (Sternorrhyncha: Coccoidea: Pseudococcidae), an invasive mealybug damaging cotton in Pakistan and India, with a discussion on seasonal morphological variation , 2008 .

[4]  G. K. Parveez,et al.  Genetic manipulation of the oil palm - challenges and prospects. , 2002 .

[5]  P. Gemperline.  Practical Guide To Chemometrics , 2006 .

[6]  B. V. Patil,et al.  Incidence of invasive mealybug (Phenacoccus solenopsis Tinsley) on cotton , 2011 .

[7]  M. A. Manaf,et al.  Towards Genetic Engineering of Oil Palm (Elaeis guineensis Jacq.) , 1995 .

[8]  A. Nogueira,et al.  Análise exploratória dos teores de constituintesinorgânicos em sucos e refrigerantes de uva , 2002 .

[9]  P. Vergragt,et al.  Genetic engineering in agriculture: New approaches for risk management through sustainability reporting , 2008 .

[10]  Rishi Kumar,et al.  Compendium of Cotton Mealybugs , 2011 .

[11]  Christopher T. Elliott,et al.  Evaluation of methodologies to determine vegetable oil species present in oil mixtures: Proposition of an approach to meet the EU legislation demands for correct vegetable oils labelling , 2014 .

[12]  M Vaïtilingom,et al.  Real-time quantitative PCR detection of genetically modified Maximizer maize and Roundup Ready soybean in some representative foods. , 1999, Journal of agricultural and food chemistry.

[13]  Cleiton Antônio Nunes,et al.  Vibrational spectroscopy and chemometrics to assess authenticity, adulteration and intrinsic quality parameters of edible oils and fats , 2014 .

[14]  Jianjun Liu,et al.  THz spectroscopy detection method for GMOs based on adaptive particle swarm optimization , 2016 .

[15]  Yong Du,et al.  Hyper sausage neuron: Recognition of transgenic sugar-beet based on terahertz spectroscopy , 2015 .

[16]  Ricard Boqué,et al.  Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy. , 2013, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[17]  Seth J. Wenger,et al.  Classification of Vegetable Oils by FT-IR , 1997 .

[18]  Junichi Mano,et al.  Evaluation of real-time PCR detection methods for detecting rice products contaminated by rice genetically modified with a CpTI-KDEL-T-nos transgenic construct. , 2013, Food chemistry.

[19]  Guomin Shan,et al.  A highly specific enzyme-linked immunosorbent assay for the detection of Cry1Ac insecticidal crystal protein in transgenic WideStrike cotton. , 2007, Journal of agricultural and food chemistry.

[20]  Runzhi Zhang,et al.  The potential distribution of an invasive mealybug Phenacoccus solenopsis and its threat to cotton in Asia , 2010 .