Detection of ochratoxin A contamination in stored wheat using near-infrared hyperspectral imaging
| Autor: | T. Senthilkumar, Noel D.G. White, Paul G. Fields, Digvir S. Jayas, Tom Gräfenhan |
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| Rok vydání: | 2017 |
| Předmět: |
2. Zero hunger
0106 biological sciences Ochratoxin A genetic structures 010401 analytical chemistry information science food and beverages Hyperspectral imaging Biology Contamination Condensed Matter Physics 01 natural sciences Atomic and Molecular Physics and Optics 0104 chemical sciences Electronic Optical and Magnetic Materials 010602 entomology Horticulture chemistry.chemical_compound chemistry Principal component analysis Penicillium verrucosum natural sciences Near infrared hyperspectral imaging |
| Zdroj: | Infrared Physics & Technology. 81:228-235 |
| ISSN: | 1350-4495 |
| DOI: | 10.1016/j.infrared.2017.01.015 |
| Popis: | Near-infrared (NIR) hyperspectral imaging system was used to detect five concentration levels of ochratoxin A (OTA) in contaminated wheat kernels. The wheat kernels artificially inoculated with two different OTA producing Penicillium verrucosum strains, two different non-toxigenic P. verrucosum strains, and sterile control wheat kernels were subjected to NIR hyperspectral imaging. The acquired three-dimensional data were reshaped into readable two-dimensional data. Principal Component Analysis (PCA) was applied to the two dimensional data to identify the key wavelengths which had greater significance in detecting OTA contamination in wheat. Statistical and histogram features extracted at the key wavelengths were used in the linear, quadratic and Mahalanobis statistical discriminant models to differentiate between sterile control, five concentration levels of OTA contamination in wheat kernels, and five infection levels of non-OTA producing P. verrucosum inoculated wheat kernels. The classification models differentiated sterile control samples from OTA contaminated wheat kernels and non-OTA producing P. verrucosum inoculated wheat kernels with a 100% accuracy. The classification models also differentiated between five concentration levels of OTA contaminated wheat kernels and between five infection levels of non-OTA producing P. verrucosum inoculated wheat kernels with a correct classification of more than 98%. The non-OTA producing P. verrucosum inoculated wheat kernels and OTA contaminated wheat kernels subjected to hyperspectral imaging provided different spectral patterns. |
| Databáze: | OpenAIRE |
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