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- W3089819184 abstract "The present study aimed to evaluate the use of hyperspectral imaging (HSI)-NIR spectroscopy to assess the presence of DON and ergosterol 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, one that was analysed for ergosterol and another that was analysed for DON by HPLC. This 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 prediction 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 EU legal limit for DON." @default.
- W3089819184 created "2020-10-08" @default.
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- W3089819184 date "2021-03-01" @default.
- W3089819184 modified "2023-09-25" @default.
- W3089819184 title "Near-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples" @default.
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- W3089819184 doi "https://doi.org/10.1016/j.foodchem.2020.128206" @default.
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