Standardization of near infrared hyperspectral imaging for wheat single kernel sorting according to deoxynivalenol level
Bainotti, Maria Belén
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The spatial recognition feature of near infrared hyperspectral imaging (HSI-NIR) makes it potentially suitable for Fusarium and deoxynivalenol (DON) management in single kernels to break with heterogeneity of contamination in wheat batches to move towards individual kernel sorting and provide more quick, environmental-friendly and non-destructive analysis than wet-chemistry techniques. , and to replace commonly used time-consuming and destructive techniques. The aim of this study was to standardize HSI-NIR for individual kernel analysis of Fusarium damage and DON presence, to predict the level of contamination and classify grains according to the EU maximum limit (1250 µg/kg). Visual inspection on Fusarium infection symptoms and HPLC analysis for DON determination were used as reference methods. The kernels were scanned in both crease-up and crease-down position and for different image captures. The spectra were pretreated by Multiplicative Scatter Correction (MSC) and Standard Normal Variate (SNV), 1st and 2nd derivatives and normalisation, and they were evaluated also by removing spectral tails. The best fitted predictive model was on SNV pretreated data (R2 0.88 and RMSECV 4.8 mg/kg) in which 7 characteristic wavelengths were used. Linear Discriminant Analysis (LDA), Naïve Bayes and K-nearest Neighbours models classified with 100 % of accuracy 1st derivative and SNV pretreated spectra according to symptomatology and with 98.9 and 98.4 % of correctness 1st derivative and SNV spectra, respectively. The starting point results are encouraging for future investigations on HSI-NIR technique application to Fusarium and DON management in single wheat kernels to overcome their contamination heterogeneity.
Is part ofFood Research International, 2021, vol. 139, article 109925
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Use of hyperspectral imaging as a tool for Fusarium and deoxynivalenol risk management in cereals: A review Femenias, Antoni; Gatius Cortiella, Ferran; Ramos Girona, Antonio J.; Sanchís Almenar, Vicente; Marín Sillué, Sònia (Elsevier, 2019-08-20)Hyperspectral imaging (HSI) is an emergent, rapid, cost-effective and non-destructive technique in which the spectral data are obtained for each pixel location in a sample's image. The application of this technique to ...
Standardisation of near infrared hyperspectral imaging for quantification and classification of DON contaminated wheat samples Femenias, Antoni; Gatius Cortiella, Ferran; Ramos Girona, Antonio J.; Sanchís Almenar, Vicente; Marín Sillué, Sònia (Elsevier, 2019-12-23)Near infrared hyperspectral imaging (HSI-NIR) is considered a promising technique able to replace time-con- suming, costly and destructive classic methods to predict and classify deoxynivalenol (DON) contaminated wheat ...
Femenias, Antoni; Gatius Cortiella, Ferran; Ramos Girona, Antonio J.; Sanchís Almenar, Vicente; Marín Sillué, Sònia (Elsevier, 2020-09-30)The present study aimed to evaluate the use of hyperspectral imaging (HSI)-NIR spectroscopy to assess the presence of DON and ergosterol presence in wheat samples through prediction and classification models. To achieve ...