Classification of rapeseed colors using Fourier transform mid-infrared photoacoustic spectroscopy

Lu, Yutong; Du, Changwen; Yu, Chang Yeon; Zhang, Jianmin

doi:10.1039/c3ay41646a

Cited by 3 publications

(2 citation statements)

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“…encoded in a matrix Y train of dimensions (N train Â 4). The PLS2 algorithm 36,37 is then applied to this Y train matrix and the corresponding X train matrix of spectra. The resulting PLS-DA model can be used to classify new samples on the basis of the predicted y-values.…”

Section: Training Validation and Test Setsmentioning

confidence: 99%

Classification of individual cotton seeds with respect to variety using near-infrared hyperspectral imaging

et al. 2016

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Section: Training Validation and Test Setsmentioning

confidence: 99%

Classification of individual cotton seeds with respect to variety using near-infrared hyperspectral imaging

et al. 2016

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“…Products studied include cheese ( McQueen et al, 1995a; 1995b), pea seeds ( Letzelter et al, 1995), meat ( Yang and Irudayaraj , 2001), soybean seed ( Caires et al, 2008), and edible oils ( de Albuquerque et al, 2013). Recently, PAS has been firstly used for analysis of rapeseeds ( Lu et al, 2014a; 2014b). The study presented here is to further use PAS to quantify the nitrogen, phosphorus and potassium concentrations in rapeseeds.…”

Section: Introductionmentioning

confidence: 99%

Use of FTIR‐PAS combined with chemometrics to quantify nutritional information in rapeseeds (Brassica napus)

et al. 2014

J. Plant Nutr. Soil Sci.

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Fast acquisition of nutritional information of rapeseeds is important for rapeseed breeding programs, evaluation of soil nutrient conditions and even fertilization recommendations. Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was employed to determine nitrogen, phosphorus and potassium content in rapeseeds. Calibration models were developed using both partial least squares (PLS) and partial least squares combined with direct orthogonal signal correction (DOSC-PLS). According to the values of RPD (ratio of prediction to deviation), the PLS models for nitrogen and phosphorus were acceptable, while the PLS model for potassium needed to be improved. By contrast, DOSC-PLS models obtained the better predictive accuracy with RPD values of 2.54, 2.10 and 1.94 for nitrogen, phosphorus and potassium, respectively. This work demonstrates the good performance of FTIR-PAS for rapid and non-destructive quantification of nutritional information in rapeseeds.

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Rapid discrimination of Notoginseng powder adulteration of different grades using FT-MIR spectroscopy combined with chemometrics

Yang

Song

et al. 2018

Spectrochimica Acta Part A: Molecular and Biomolecular Spectros

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Classification of rapeseed colors using Fourier transform mid-infrared photoacoustic spectroscopy

Cited by 3 publications

References 46 publications

Classification of individual cotton seeds with respect to variety using near-infrared hyperspectral imaging

Classification of individual cotton seeds with respect to variety using near-infrared hyperspectral imaging

Use of FTIR‐PAS combined with chemometrics to quantify nutritional information in rapeseeds (Brassica napus)

Rapid discrimination of Notoginseng powder adulteration of different grades using FT-MIR spectroscopy combined with chemometrics

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