Near-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples
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 these objectives, a first set of bulk samples was scanned by HSI-NIR and divided...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat de Lleida (UdL) |
| Repositorio: | Repositori Obert UdL |
| OAI Identifier: | oai:repositori.udl.cat:10459.1/70135 |
| Acceso en línea: | https://doi.org/10.1016/j.foodchem.2020.128206 http://hdl.handle.net/10459.1/70135 |
| Access Level: | acceso abierto |
| Palabra clave: | Hyperspectral imaging Deoxynivalenol Ergosterol Near infrared Cereal analysis |
| Sumario: | 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 these objectives, a first set of bulk samples was scanned by HSI-NIR and divided into two subsamples, in which one that was analysed for ergosterol and the other another that was analysed for DON by HPLC. Thise method was repeated for a second larger set to build prediction and classification models. All the spectra were pretreated and statistically processed by PLS and LDA. The pPrediction models presented a RMSEP of 1.17 mg/kg and 501 µg/kg for ergosterol and DON, respectively. Classification achieved an encouraging accuracy of 85.4% for an independent validation set of samples. The results confirm that HSI-NIR may be a suitable technique for ergosterol quantification and DON classification of samples according to the DON EU legal limit for DON. |
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